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European Journal of Operational Research xxx (2007) xxx–xxx
www.elsevier.com/locate/ejor
Production, Manufacturing and Logistics
Warehouse design: A structured approach
Peter Baker *, Marco Canessa
Centre for Logistics and Supply Chain Management, Cranfield School of Management, Cranfield University, Bedford MK43 0AL, United Kingdom
Received 17 November 2006; accepted 11 November 2007
Abstract
In spite of the importance of warehousing to the customer service and cost levels of many businesses, there is currently not a comprehensive systematic method for designing warehouses. In this paper, the current literature on the overall methodology of warehouse
design is explored, together with the literature on tools and techniques used for specific areas of analysis. The general results from the
literature have then been validated and refined with reference to warehouse design companies. The output is a general framework of
steps, with specific tools and techniques that can be used for each step. This is intended to be of value to practitioners and to assist further
research into the development of a more comprehensive methodology for warehouse design.
Ó 2007 Elsevier B.V. All rights reserved.
Keywords: Facilities planning and design; Decision support models; Logistics; Warehouse design
1. Introduction
Warehouses are a key aspect of modern supply chains
and play a vital role in the success, or failure, of businesses
today (Frazelle, 2002a). Although many companies have
examined the possibilities of synchronised direct supply
to customers, there are still many circumstances where this
is not appropriate. This may be because the supplier lead
times cannot be reduced cost effectively to the short lead
times required by customers, and hence these customers
need to be served from inventory rather than to order
(Harrison and van Hoek, 2005). Similarly, it may be beneficial to hold strategic inventory at decoupling points in the
supply chain to separate lean manufacturing activities
(which benefit from a smooth flow) from the downstream
agile response to volatile market places (Christopher and
Towill, 2001). Alternatively, the supply and distribution
networks may be of sufficient complexity that there is a
need for goods to be consolidated at inventory holding
points so that multi-product orders for customers can be
*
Corresponding author. Tel.: +44 1234 751122; fax: +44 1234 752441.
E-mail addresses: peter.baker@cranfield.ac.uk (P. Baker), marcocanessa@gmail.com (M. Canessa).
delivered together i.e. at break-bulk or make-bulk consolidation centres (Higginson and Bookbinder, 2005). The
operations of such warehouses are critical to the provision
of high customer service levels. A large proportion of warehouses offer a same-day or next-day lead-time to customers
from inventory (Baker, 2004) and they need to achieve this
reliably within high tolerances of speed, accuracy and lack
of damage.
In addition to these traditional inventory holding roles,
warehouses have been evolving to act as cross-docking
points (where goods are moved directly from inward to
outward vehicles without being put away into inventory),
value added service centres (e.g. pricing and labelling goods
for customers), production postponement points (configuring or assembling goods specifically to customer demand so
that a smaller range of generic products can be held in
inventory), returned good centres (for reverse logistics of
packaging, faulty goods or end-of-life goods) and many
other miscellaneous activities, such as service and repair
centres (Maltz and DeHoratius, 2004).
Whilst warehouses are critical to a wide range of customer service activities, they are also significant from a cost
perspective. Figures for the USA indicate that the capital
and operating costs of warehouses represent about 22%
0377-2217/$ - see front matter Ó 2007 Elsevier B.V. All rights reserved.
doi:10.1016/j.ejor.2007.11.045
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of logistics costs (Establish, 2005), whilst figures for Europe
give a similar figure of 25% (ELA/AT Kearney, 2004).
A UK study has shown that the number of new large
warehouses has steadily increased during the period from
1995 to 2002 (Baker, 2004). These warehouses are significant investments for companies and are often highly complex in nature. Expenditure on warehouse automation has
increased steadily in Europe (Frost and Sullivan, 2001) and
this trend is reflected globally by figures that show that
sales have increased by an average of 5% per annum for
the period 2003–2005 (Modern Materials Handling, 2004,
2005, 2006).
With this critical impact on customer service levels and
logistics costs, as well as the degree of complexity involved,
it is thus imperative to the success of businesses that warehouses are designed so that they function cost effectively.
This is particularly important as warehousing costs are to
a large extent determined at the design phase (Rouwenhorst et al., 2000).
2. Warehouse design
In spite of the importance of warehouse design, a number of reviews of the literature have concluded that relatively little has been written in academic journals on the
systematic approach that should be taken by warehouse
designers. Typical conclusions over the years include:
‘‘A search of the literature shows that very few papers
deal with the general warehouse design problem”
(Ashayeri and Gelders, 1985, p. 285);
‘‘In general, however, there is not a procedure for systematically analysing the requirement and designing a
warehouse to meet the operational need using the most
economic technology” (Rowley, 2000, p. 3);
‘‘A sound theoretical basis for a warehouse design methodology still seems to be lacking” (Rouwenhorst et al.,
2000, p. 515);
‘‘A comprehensive and science-based methodology for
the overall design of warehousing systems does not
appear to exist” (Goetschalckx et al., 2002, p. 1).
On the other hand, these reviews have demonstrated
that there is a wealth of material written on analysing particular aspects of warehouse design, such as layout, order
picking policies and equipment choice. It is the synthesis
of these techniques that appears to be lacking to act as a
basis for the overall warehouse design (Rouwenhorst
et al., 2000).
In the absence of a defined and accepted methodology,
most warehouse designers have developed their own
approach (Oxley, 1994). In research with warehouse
designers undertaken by Govindaraj et al. (2000), the very
complex trade-offs made by the designers are described.
Terms such as ‘‘eye-ball the data”, and ‘‘makes some initial
design decisions. . .based on intuition, experience and
judgement” are typical of the process described. It there-
fore appears that a more formalised process would be of
great assistance to practitioners.
3. Approach
The scope for the research is the design phase from the
time a specific need is identified for a warehouse (for example, following a distribution strategy review) through to an
operational specification being produced, detailing for
example, operating methods, equipment, staffing levels,
layout and costs. This would be up to the point where capital approval could be given for the warehouse project. The
subsequent steps, such as equipment tendering (if that
route is selected), construction, installation and project
management are not covered in this research.
An initial research of the literature was undertaken
using library facilities and searching a range of electronic
databases, including EBSCO Business, Emerald, ProQuest,
and Science Direct. These databases were searched using
relevant keywords, such as ‘‘distribution centre”, ‘‘facility”,
‘‘material handling”, ‘‘plant”, and ‘‘warehouse”, combined
with ‘‘design”, ‘‘layout” and ‘‘operations”. Relevant papers
were then selected in accordance with the titles and
abstracts. From these publications, the search was then
extended by accessing the relevant books and papers that
were cited.
The literature was then classified into two groups: those
that addressed the overall steps used in warehouse design
and those that examined particular tools and techniques.
A chronological classification was conducted of the former
to identify whether, and how, the steps have developed
over time. The steps proposed by the different authors were
compared to identify whether there was common agreement and thus whether some basic warehouse design steps
could be used with some confidence as an overall
framework.
As a validation exercise to identify whether this framework reflected current practice, twelve warehouse design
companies were contacted by telephone or face-to-face.
Details were sent out by e-mail for their comments and
responses were received from seven of the companies.
These responses were used to refine the framework.
The companies contributing to this study ranged from
large multi-national materials handling system manufacturers and integrators (namely, Jungheinrich, Savoye
Logistics, and Swisslog) to small and medium-sized consultancies (namely, Jigsaw Logistics, LCP Consulting, LPC
International, and Total Logistics). In all cases, the UK
office of the company was contacted.
The positions of the respondents were: director (2 companies), managing director (1), head of warehouse projects
(1), logistics consultant (1), project engineer (1) and proposals engineer (1).
As well as requesting the steps used in the warehouse
design process, the companies were asked which tools
and techniques were normally used for each step. These
tools and techniques were then combined with those men-
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tioned in publications already explored. In addition, further database searches were conducted on these tools and
techniques so that a wide span of literature relevant to
the subject of warehouse design was covered. The different
tools and techniques associated with each step were then
identified so as to form a structured approach for warehouse design, combining both literature and practitioner
sources.
4. Literature on warehouse design steps
A number of key books and papers on overall warehouse design were identified during the literature search
and these are set out in chronological order in Tables 1a
and 1b. They generally describe the design process in terms
of a series of steps, varying from three to fourteen steps in
number.
Over thirty years ago, Heskett et al. (1973) described the
main aspects of warehouse design under three broad headings of determining the requirements, designing the material handling systems, and developing the layout. The
sequence of these three broad stages can be found in most
of the subsequent literature.
Apple (1977) observed that the designer (of facilities)
faces a complex task because of the interactions and relationships between each design activity, and suggested a
20-step procedure for facilities design that can be adapted
to the 12 steps shown in Table 1a for warehouse design.
Firth et al. (1988), Hatton (1990) and Mulcahy (1994) follow a similar approach to the previous authors, but also
incorporate features such as the recognition of the warehouse in the overall distribution network, and the comparison of alternative approaches (covering concepts,
equipment types and layouts).
Oxley (1994) provides a fairly comprehensive list of
steps that incorporates the key features of the previous
authors. He starts with defining the overall system requirements of the supply chain, including such factors as service
levels and implementation time constraints. Again, data
collection and analysis are key steps. He also introduces
a new step of establishing the unit loads to be used. The following steps are again concerned with developing alternative operating methods, equipment types and layouts. He
stresses that the warehouse design should be centred on
the storage and handling requirements and that the building should then be designed around these.
This basic framework of steps is also set out in Rowley
(2000) and Rushton et al. (2000), where Oxley was a contributor or co-author. In the former publication, a further
step is included, namely the use of computer simulation, to
test the impact of different volume throughputs and to
identify the consequences on the rest of the supply chain.
It is stressed that although the steps are set out in sequence,
the overall design process is iterative in nature.
Rouwenhorst et al. (2000) also state that a design process typically runs through a number of consecutive phases.
However, they then go on to group the activities within
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these steps into a hierarchical framework based on a topdown approach, thus identifying strategic, tactical and
operational decisions. They propose that these three clusters of decisions should be considered in sequence.
Govindaraj et al. (2000) and Bodner et al. (2002) used
ethnographic study techniques to identify how experts
actually design warehouses. They focus on the procedures
that are used by designers and experts in the field, trying
to understand the decisions they make and the processes
they follow when developing a design project. They state
that the designer must consider some very complex tradeoffs. Four to five steps are identified in these papers, plus
the need for reiteration of these steps. The authors state
their future intention to use these steps to develop computational aids for warehouse design. Govindaraj et al. (2000)
propose an object-oriented model comprising five modules:
a project module (base data); warehousing module (including unit load and equipment details); flow and control
module (encompassing movement within the warehouse);
operation module (a specified design); and a cost module.
These object modules encapsulate most of the elements
described by the previous authors.
Hassan (2002) and Waters (2003) again provide a series
of steps which are similar in many ways to the previous
authors, although the former is primarily concerned with
just one aspect of the design problem, namely the layout
design. Waters (2003) concurs with some of the previous
authors in that warehouse design steps do not represent a
strict sequence.
Rushton et al. (2006) have refined the steps in their earlier edition to recognise the importance of flexibility in
warehouse design. The business requirements step includes
the concept of scenario planning and this leads to a later
specific step of evaluating design flexibility. The iterative
nature of the design process is exemplified by the equipment and staffing calculations now being shown after the
layout design rather than before, as with most other frameworks. For example, truck numbers cannot be finalised
until the distances are known of how far they will need
to travel.
There are a number of common themes running through
all of these methodologies to warehouse design:
It is acknowledged that warehouse design is highly
complex;
The authors tackle this complexity by describing stepby-step approaches;
These steps are interrelated and a degree of reiteration is
necessary;
It may not be possible to identify what is the ‘‘optimum”
solution, owing to the high number of possibilities that
exist at each step.
There are differences in the precise steps within the various approaches described. This is partly caused by the way
that activities are grouped together into steps and partly
due to some approaches appearing to be more exhaustive
Please cite this article in press as: Baker, P., Canessa, M., Warehouse design: A structured approach, European Journal of Operational Research (2007), doi:10.1016/j.ejor.2007.11.045
4
Heskett et al. (1973)
Determine warehouse
requirements
Apple (1977)
Procure data
Firth et al. (1988)
Hatton (1990)
Identify the warehouse
functions
Gather data and make
projections
Determine the task (inc. data
collection)
Analyse product quantity
Collect data
Analyse product movement
Analyse data
Develop alternative concepts
Establish design year
parameters
Analyse data
Design processes
Develop alternative
methods
Plan material
flow pattern
Combine functional
alternatives into single
system
Consider alternative material
handling equipment and
concepts
Calculate
equipment
requirements
Plan individual
work areas
Develop the facility
layout
Select material
handling
equipment
Determine
storage
requirements
Plan service and
auxiliary
activities
Determine space
requirements
Allocate activity
areas to total
space
Construct the
master layout
Identify administrative
function areas
Develop alternative layouts
Develop the management system
(methods, procedures and
systems)
Select the total system
Oxley (1994)
Define system
requirements
Define and obtain
data
Analyse data
Establish unit loads to
be used
Determine operating
procedures and
methods
Consider equipment
types & characteristics
Govindaraj et al. (2000)
Assemble and analyse data
Determine functional
requirements
Make high-level
(‘‘architecture”) decisions
Calculate equipment
capacities and
quantities
Define services &
ancillary operations
Prepare possible
layouts
Evaluate and assess
Identify the preferred
design
Undertake detailed system
specification and
optimization
Reiterate above steps
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Design material handling
systems and facility
design
Mulcahy (1994)
P. Baker, M. Canessa / European Journal of Operational Research xxx (2007) xxx–xxx
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Table 1a
Warehouse design steps in the literature (1973–2000)
Rowley (2000)
Rushton et al. (2000)
Bodner et al. (2002)
Hassan (2002)
Waters (2003)
Define concept
Define system
requirement and design
constraints
Define system
requirements and design
constraints
Acquire data
Define and obtain
relevant data
Analyse data
Define and obtain data
Assemble data
Analyse data
Undertake data profiling
Establish unit loads to be
used
Establish unit loads to be
used
Produce
functional
specification
Postulate operating
procedures and systems
Postulate basic operations
and methods
Determine high-level
functionalities
Form classes (of products)
Compare available handling
equipment
Evaluate equipment types
Produce technical
specification
Consider equipment types
and characteristics
Consider possible
equipment types
Produce high-level
specification
(‘‘architecture”)
Departmentalize (into areas)
and establish general layout
Calculate the space needed
for storage and movement
Prepare internal and
external layouts
Select the means
and equipment
Calculate equipment
quantities
Calculate equipment
quantities
Partition into storage areas
Identify which materials
should be close to each
other
Define other facilities and
services
Calculate staffing levels
Design material handling,
storage and sortation systems
Draw up high-level
procedures and IS
requirements
Evaluate design flexibility
Develop layout
Draft possible layouts
Prepare possible building
and site layouts
Design aisles
Develop outline plans
Calculate equipment
quantities
Select planning
and control
policies
Select the preferred design
Evaluate the design
against requirements
Undertake detailed system
specification/optimization
Determine space
requirements
Evaluate and assess
expected performance
Conduct computer
simulations
Identify the preferred
design
Reiterate above steps
Determine input/output
points
Determine docks
Specify type and purpose of
warehouse
Forecast and analyse
expected demand
Establish operating policies
Define business
requirements and design
constraint
Estimate future demand
Define and obtain data
Forecast movements
through warehouse
Formulate a planning base
Determine inventory levels
Determine the storage
arrangement
Form picking zones
Rushton et al. (2006)
Define the operational
principles
Calculate staffing levels
Finalise plan
Calculate capital and
operating costs
Evaluate the design against
requirements
Finalise the preferred
design
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Rouwenhorst
et al. (2000)
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Table 1b
Warehouse design steps in the literature (2000-2006)
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than others. However, most of the approaches follow a
common pattern, as can be identified by the similar names
to the steps in the rows in Table 1. In fact, the steps do not
appear to have changed greatly over time.
5. Steps used by warehouse design companies
In order to verify the general steps found in the literature, warehouse design companies were asked to set out
the steps that they follow when they design warehouses
and then to list the tools that they use for each step. The
steps listed by Oxley (1994) were provided as a template
for the latter, for convenience or for where no formal
design steps are used. The Oxley (1994) steps were used
for this purpose as they encompass the key features of
the various approaches found in the literature. Three companies adopted the template as a good representation of
their steps and four provided their own steps. The steps
used by the four latter companies are as set out in Table 2.
For the four companies that described different steps to
those provided on the template, it should be noted that a
similar number of steps are used (i.e. either eight or nine,
compared to eleven on the template) and these can be
related reasonably closely to the template steps (i.e. those
of Oxley, 1994). Across the seven warehouse design companies, the steps used by practitioners are thus not dissimilar
to those described in much of the literature. It is therefore
proposed that the steps used for the template in this
research represent a way forward for the development of
a more comprehensive warehouse design methodology, as
they are well grounded in the literature and are recognisable to design practitioners.
ature and from the warehouse design companies. It was
found that the literature provides useful tools for some steps
but does not appear to cover all of the steps involved. This is
supported by Rouwenhorst et al. (2000) who concluded that
the existing literature tends to concentrate on a small numbers of specific areas within the total warehouse design problem, with areas such as conventional equipment solutions
and staffing calculations being largely neglected.
The various tools used by the warehouse design companies were set out in their responses and are summarised in
Table 3.
The results show that warehouse designers use a variety
of tools during the design process. The main areas of commonality (i.e. used by more than half the respondents) were
the use of:
database and spreadsheet models for data analysis;
spreadsheet models for considering equipment types;
formal spreadsheet models to calculate equipment
capacities and quantities;
computer-aided design (CAD) software for drawing up
the layouts;
simulation software and formal spreadsheet models for
evaluation and assessment.
By combining the results from the literature review and
the warehouse design companies, an overall framework can
be developed, summarising the main tools used and the key
references in the literature where these are described in
more detail. This is shown in Table 4.
These tools and techniques are described below for each
of the steps.
6. Individual tools and techniques
6.1. Define system requirements
The research into the individual tools and techniques used
within each of the steps was undertaken both from the liter-
Oxley (1994) refers here to the overall system within
which the warehouse operates, and therefore includes busi-
Table 2
Alternative steps used by warehouse design companies
Step
Company A
Company B
Company C
Company D
1
Define operation requirements [1]
Manning levels [7,10]
Data analysis [3]
Material flow diagrams
[4,5]
Operating principles [4,5]
Define and obtain data [2]
Define operational constraints [1,4]
4
5
CAD layout [9]
Define and collect data
[1,2]
Analyse data [3]
Establish design
parameters [3]
Establish operating
procedures [4,5]
Initial design [6–9]
Data acquisition [1,2]
2
3
Develop material flows (including unit load
formats) [1–4]
Technology evaluation [5,6]
Refinement of preferred options [5,6]
6
7
8
Functionality definition (i.e. processes and
systems functionality) [5,10]
Detailed design (including ancillaries) [8,10,11]
Simulation [10]
9
Equipment specification [11]
Evaluate initial design
[10]
Refine design [10]
Simulation of solution
[10]
Evaluate final design
[10,11]
Develop alternative
designs [6–9]
Outline costing [10]
Design evaluation [10]
Development of
preferred option [11]
Submit design proposal
[11]
Consider equipment types and
characteristics [5–7]
Design layouts [8,9]
Evaluate and assess design layouts
[10]
Identify preferred design [11]
Prepare final proposal and detailed
specification [11]
Note: The figures in square brackets relate to the corresponding steps set out by Oxley (1994) in Table 1a.
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Table 3
Tools used by warehouse design companies for each step
Step
Tools used (the number of
companies using each tool is shown
in brackets)
1. Define system requirement
Checklists (2)
Distribution network software (1)
2. Define and obtain data
Checklists (3)
Database models (3)
Formal spreadsheet model (2)
Informal spreadsheet models (2)
Flow charts (1)
3. Analyse data
Database models (5)
Formal spreadsheet models (3)
Informal spreadsheet models (2)
Flow charts (1)
4. Establish unit loads to be used
Checklists (2)
Survey existing operations (1)
Formal spreadsheet model (1)
Database model (1)
5. Determine operating procedures
and methods
Checklists (2)
Warehouse zoning (1)
Technology level assessment chart
(1)
Picking method assessment chart (1)
Concept library (1)
Standard work procedures (1)
Informal spreadsheet model (1)
6. Consider possible equipment
types and characteristics
Formal spreadsheet models (2)
Informal spreadsheet models (2)
Decision trees (2)
Two-by-two matrix (1)
Equipment attribute matrix (1)
Concept library (1)
Supplier bespoke tools (1)
SCOR assessments (1)
Factor analysis (1)
7. Calculate equipment capacities
and quantities
Formal spreadsheet models (4)
Informal spreadsheet model (1)
Formal database model (1)
Historical KPI and performance
standards (1)
Rated activity sampling (1)
8. Define services and ancillary
operations
Checklists (2)
Formal spreadsheet model (1)
Formal database model (1)
From equipment specification tools
(1)
9. Prepare possible layouts
CAD software (7)
Process flow software (1)
Simulation software (1)
Standard rack modules (1)
10. Evaluate and assess
Simulation software (6)
Formal spreadsheet models (4)
Formal database models (3)
Two by two matrices (1)
Financial models (1)
Checklists (1)
Factor analysis (1)
SCOR (1)
7
Table 3 (continued)
Step
Tools used (the number of
companies using each tool is shown
in brackets)
11. Identify the preferred design
Simulation software (2)
Two by two matrices (1)
SWOT analysis (1)
Business case (1)
Formal spreadsheet models (1)
Process flow templates (1)
System functionality checklists (1)
Standard equipment specification
proforma (1)
Factor analysis (1)
SCOR (1)
Abbreviations: CAD, computer-aided design; KPI, key performance indicator; SCOR, supply-chain operations reference model (Supply-Chain
Council); SWOT, strengths, weaknesses, opportunities, threats.
Note: Formal models are defined as those designed and quality controlled
for use on multiple projects, whilst informal models are those developed
previously for other projects and modified for use on subsequent projects.
ness strategy requirements and relevant constraints, such as
planning and environmental issues. Approaches described
in business and supply chain strategy literature, such as
on competitive advantage and consumer value (Christopher, 2005) are relevant, as is the use of scenario planning
(e.g. Sodhi, 2003). A framework to identify the role of
warehousing within supply chains is given in Baker
(2007a) and there are some checklists on warehouse roles
(e.g. cross-docking) and functions (e.g. storage) within
warehousing literature, for example in Higginson and
Bookbinder (2005).
6.2. Define and obtain data
Bodner et al. (2002) state the expert designer has a prespecified list of data to be requested, to which they may add
depending on the precise nature of the project. The warehouse design companies surveyed support that checklists
are often used by practitioners, normally formalised into
database or spreadsheet models, ready for analysis. Flow
charts may also be used to obtain information.
Such checklists of data are given in various publications,
including Rowley (2000), McGinnis and Mulaik (2000),
Frazelle (2002b) and Rushton et al. (2006). These lists
include product details, order profiles, goods arrival and
despatch patterns, cost data and site information (where
a site has already been identified).
Hatton (1990) mentions the use of specially written
software by some design companies to extract data from
company computer systems and summarise it in a useful
way. After the extraction of historic data, Hatton (1990)
goes on to explain the need to consult with various business departments (e.g. marketing) to then develop these
numbers to the required planning horizon (e.g. 5 years
hence).
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Table 4
Proposed framework, tools and key references
Step
Tools and key references
1. Define system requirement
Refer to literature on business and supply chain strategy literature (e.g. Christopher (2005)) and scenario
planning (e.g. Sodhi (2003))
Warehouse role framework is provided in Baker (2007a) and role checklist in Higginson and Bookbinder
(2005)
2. Define and obtain data
Checklists and spreadsheet, or database, models are used
Useful checklists appear in Rowley (2000), McGinnis and Mulaik (2000), Bodner et al. (2002), Frazelle
(2002b) and Rushton et al. (2006)
3. Analyse data
Database and spreadsheet models are used
Activity profiling techniques are given in Frazelle (2002b)
Planning base, planning horizon and warehouse flow charts are described in Rushton et al. (2006)
4. Establish unit loads to be used
Analytic and simulation approaches are described in Roll et al. (1989)
5. Determine operating procedures and
methods
A wide variety of techniques are used
Rouwenhorst et al. (2000) set out a framework of the cluster of decisions that need to be considered
Rushton et al. (2006) describe warehouse zoning
Flexibility frameworks are set out in Baker (2006, 2007b)
6. Consider possible equipment types and
characteristics
Spreadsheet models and decision trees tend to be used
Heuristic, analytic and simulation methods are described in Ashayeri and Gelders (1985)
A heuristic approach is set out in Naish and Baker (2004)
Decision tree examples are given in Rowley (2000) and Rushton et al. (2006)
7. Calculate equipment capacities and
quantities
Spreadsheet models, as well as historic performance measures, are used
The analytic and simulation methods described by Ashayeri and Gelders (1985) are also relevant for this
step
8. Define services and ancillary operations
Checklists are used by some practitioners
9. Prepare possible layouts
CAD software is generally used by practitioners
Outline steps and methods are provided by Mulcahy (1994), Hudock (1998) and Frazelle (2002b)
A warehouse relationship activity chart is described in Frazelle (2002b)
10. Evaluate and assess
Simulation software is useful at this step (e.g. see Kosfeld, 1998) and is commonly used by practitioners
Analytic models are also used by practitioners
11. Identify the preferred design
Quantitative (e.g. financial business case) and qualitative (e.g. SWOT analysis) methods are used
No specific process is described in the literature
6.3. Analyse data
Database and spreadsheet models are normally used by
practitioners to analyse data. Govindaraj et al. (2000) state
that this process normally involves an analyst computing a
number of routine statistics from the order database and
then the designer uses his experience to interpret these
statistics.
Frazelle (2002b) presents a set of such routine statistics
in a section on warehouse activity profiling. These include:
Customer order profiling (e.g. pallet/carton/item mix
profiles and lines per order distribution);
Item activity profiling (e.g. item popularity distribution
and demand variability distribution);
Inventory profiling (e.g. inventory distribution by Pareto group or handling unit);
Calendar-clock profiling (e.g. seasonality and daily
activity distributions);
Activity relationship profiling (i.e. importance of certain
functions being located nears other functions);
Investment profiling (e.g. wage rates and required return
on investment).
Benchmarking is also seen as a critical part of this process (Frazelle, 2002b), although Hackman et al. (2001)
warn of the dangers of normal ratio comparisons for comparing warehouse performances. They state that a more
comprehensive approach is needed that can consider several dimensions of performance simultaneously and
explore the use of data envelopment analysis (DEA) for
this purpose.
Bodner et al. (2002) describe the general use of ad hoc
spreadsheet and database tools developed during the
course of previous design projects. The results of these
may be brought together into comprehensive planning
bases for a number of planning horizons (e.g. a 1-year horizon for the initial staffing level and a 5-year horizon for the
building design), as described by Rushton et al. (2006).
The respondents did not identify the use of any
advanced mathematical techniques (e.g. linear programming), although some techniques may of course be con-
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tained in the spreadsheet models that are used at many
stages of the design process.
6.4. Establish unit loads to be used
There are few tools listed in the literature for this step,
although Roll et al. (1989) do describe a systematic
approach that develops a mathematical relationship
between container size and storage cost and then proceed
to describe a simulation approach that can be used where
average values are not appropriate. Rushton et al. (2000)
go on to explain that the choice of unit load cannot be
taken in isolation but must take into account the whole
supply chain (i.e. supplier and customer considerations).
It is evident from the responses that there is considerable
reliance placed on the expertise of the individual warehouse
designers. For example, one respondent stated that unit
loads were established by ‘‘design experience and expertise,
combined with iterative discussions with the client”.
6.5. Determine operating procedures and methods
These are the high-level procedures and methods for
each function of the warehouse. A wide variety of techniques are used by the respondents, including checklists,
warehouse zoning, technology assessment charts, concept
library, and standard work procedures.
Hatton (1990) stresses the role of the experienced
designer in this process, and this is supported by the ethnographic studies by Bodner et al. (2002) who describe this
process as implicit based on the designer’s expertise.
Rouwenhorst et al. (2000) propose a framework for
making these high-level decisions. They determine two
clusters of problem areas at what they describe as ‘‘strategic” level decisions: centred around system selection on the
basis of technical and economic capabilities. The first cluster (i.e. based on technical capabilities) relates to this step.
They identify decision areas and state that these are highly
interrelated, but found no literature to assist with these
decisions.
An important part of this step is the decision as to the
zones into which the warehouse should be divided (e.g.
zones for different product groups, temperature regimes,
or Pareto classifications). Again, this appears to be left to
the experience of the warehouse designer. Based on the
adopted zones, Rushton et al. (2006) describe warehouse
flow diagrams that represent the daily flows passing
through the various zones of a warehouse as a basis for
the subsequent steps.
Gu et al. (2007) identified many papers that covered the
operational design of particular aspects of a warehouse,
although some aspects have been researched far more than
others. The reader can refer to that paper for techniques
that may be useful in determining the operating methods
for specific activities within the warehouse. Another paper
that is useful in this regard is the review of warehouse models by Cormier and Gunn (1992).
9
Frameworks of how to incorporate flexibility into warehouse design are provided in Baker (2006, 2007b). These
frameworks include the consideration of which resources
to adapt for flexibility (e.g. buildings, equipment, staffing,
processes or systems) and how to accommodate potential
change (e.g. by extra capacity, additional resources when
needed or the use of flexible resources).
6.6. Consider equipment types and characteristics
In contrast to some of the previous steps, there are many
tools available in the literature that may assist with the
evaluation of equipment types. This is also reflected in
the wide range of techniques used by the warehouse design
companies, such as decision trees, matrices, SCOR assessments and factor analysis.
Ashayeri and Gelders (1985) identify three generic methods that assist chiefly, although not solely, with this step:
Heuristic methods (which are based on a close examination of different design alternatives through intuitive
rules, based on experience);
Analytic methods (which are used to calculate an optimum solution);
Simulation methods (which conduct ‘‘what if” analyses).
Naish and Baker (2004) describe a step-by-step
approach to equipment evaluation, comprising:
High-level technology assessment, based on such general
factors as the scale of the operation and the flexibility
required;
Equipment attributes, to identify whether each equipment type is suitable for the application;
Decision trees, which act as representations of ‘‘expert
systems”. Examples are also given in Rowley (2000)
and Rushton et al. (2006);
Full costing comparison, to calculate all the costs associated with the remaining options;
Sensitivity analyses, to identify whether the preferred
systems still perform well under alternative business
scenarios;
Computer simulation, to test the effectiveness of the preferred system under different conditions (e.g. crane
breakdown).
This heuristic method encompasses a number of the
tools described in the literature and overcomes one of the
disadvantages of analytic and simulation approaches
whereby it is difficult to evaluate by these means the full
range of options. This narrowing down of options is supported by Hatton (1990), who recognises that the experience of the designer is important in discarding
inappropriate options and thus simplifying the design task.
Once the infeasible options have been eliminated then analytic and simulation methods can be used to evaluate specific alternatives.
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6.7. Calculate equipment capacities and quantities
This is generally a matter of calculation and formal
spreadsheet models tend to be used, based on warehouse
flows (as per Rushton et al., 2006) and performance standards (e.g. from historic KPIs or rated activity sampling).
Many of the analytic and simulation methods, mentioned
in the previous step, in fact address equipment capacities
and quantities as well as the wider equipment selection
question. For example, Ashayeri and Gelders (1985) list a
number of papers that use a range of analytic methods,
including such techniques as non-linear mixed integer programming and dynamic programming, as well as simulation methods. The types of question they address include
the development of optimum rack lengths and space utilisation, although some do examine cost minimisation
between specific options. Similarly, Cormier and Gunn
(1992) provide a good overview of a range of warehouse
models that have been developed to analyse specific
aspects, such as performance evaluation of automated storage and retrieval systems (AS/RS).
6.8. Define services and ancillary operations
There are no real methodologies described in the literature for this step. It appears to be derived from the experience of the warehouse designers, sometimes formalised into
checklists of requirements.
6.9. Prepare possible layouts
All of the respondents use computer-aided design
(CAD) software to assist in drawing up the layouts. Canen
and Williamson (1996) provide a review the literature on
computer-based layout packages and conclude that there
is considerable software available. However, their research
concluded that specialist warehouse layout software
appeared to be little used by companies, who tend instead
to use non-specialist software, such as AutoCAD. Such
software tends to be an aid for an experienced designer
to help draw the layout, as exemplified by one respondent
who stated that layouts are prepared ‘‘by experience and
use of AutoCAD to draft layouts”.
This is recognised as a key step and some approaches are
proposed in the literature as to how to formulate draft layouts. Some of these refer to plant layout tools, such as
route sheets, operation schedules, and movable templates
drawn to scale to represent freight and equipment, as mentioned by Heskett et al. (1973).
Mulcahy (1994) explains the complexity of the warehouse layout problem by listing ten different objectives that
need to be maximised, including for example space minimisation, access to products, efficient flows, safe working
environment and expansion potential. He goes on to
explain four methods to help design and present the layout:
Block layout;
Layout board and standard templates;
Conventional or computer-produced drawing;
Model method (e.g. a three-dimensional model, often
built for presentational purposes, but particularly useful
to provide an insight into the relationships between different floor levels of a warehouse).
Hudock (1998) demonstrates techniques for space planning of receiving/ shipping and storage areas, before proceeding to explain how experienced layout planners
generate alternative layouts and then evaluate these. Rowley (2000) takes a high-level view, describing the four most
common layouts based on the location of the receiving and
shipping docks that are used in warehousing operations
and lists the advantages and disadvantages of using them.
However, he does not propose a precise methodology.
Frazelle (2002b) presents a five-step methodology for
warehouse layout, which combines some of the above
techniques:
Space requirements planning: This involves determining
the space required for each zone (as in the block layout
technique described earlier);
Material flow planning: The determination of the overall
flow pattern (e.g. U-shape or flow-through);
Adjacency planning: This uses a warehouse activity relationship chart, which may form the input for computeraided facility layout tools;
Process location: The split of areas by low-bay and highbay usage;
Expansion/contraction planning: Consideration of how
the facility may be changed in the future.
There are thus a number of techniques available to assist
warehouse designers in formulating the layout of a warehouse, but these are generally designed to assist an experienced warehouse designer, rather than provide an optimal
layout solution per se. As noted by Canen and Williamson
(1996) there are many qualitative factors, such as safety
and aesthetics, to consider as well as the purely quantitative
factors, such as the flows of goods.
As regards the external areas, some authors, such as
Napolitano (1994) and Rowley (2000), mention certain criteria that designers need to bear in mind, but no specific
tools are proposed.
6.10. Evaluate and assess
Oxley (1994) states that this step is largely concerned
with validating the operational and technical feasibility of
the proposed solutions, checking that it meets the requirements of step one (i.e. the initial requirements), and undertaking capital and operational cost evaluations.
Simulation is used by most of the respondents and this
technique is mentioned by several authors, such as Ottjes
and Hoogenes (1988), Brito (1992), Smith and Nixon
(1994), Kosfeld (1998) and Queirolo et al. (2002). This tool
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can be used to analyse individual sections of the facility, or
the facility as a whole.
Scenarios can be built, either by simulation or other
modelling, to consider a series of different situations in
which the flexibility of the design can be tested. These scenarios may include for example alternative growth forecasts, changes in order profiles, and abnormal peak
requirements.
There are a number of simulation tools available,
including general simulation packages that can be adapted
for warehousing, as well as specific warehousing simulation
packages. Some of these can be bought directly from suppliers, whilst others are available through consultancies,
equipment suppliers and warehouse management system
suppliers. However, it should be noted that not all of these
tools are used on every occasion. For example, one warehouse design company stated that: ‘‘Dynamic simulation
is added for proof-of-concept for specific projects where
the client is undergoing fundamental business change.
Dynamic simulation is used only where database modelling
will not provide accurate answers”.
6.11. Identify the preferred design
This step is basically the drawing together of all of the
above elements into a coherent design, identifying, for
example, the unit loads to be used, the operations and
flows, the information systems, the equipment types and
quantities, the internal and external layouts, the staffing
requirements and the costs (Oxley, 1994). No specific process is described in the literature for this step, but the warehouse design companies gave some examples of both
quantitative (e.g. financial business case) and qualitative
(e.g. SWOT analysis) methods.
7. Discussion
Based on the literature and the responses from the warehouse design companies, there appears to be some consensus on the overall approach that needs to be followed for
warehouse design. There can be some debate on the precise
steps, as the activities in the design process can be grouped
together in various combinations. Similarly, there can be a
further debate concerning the sequence of these steps, as
warehouse design tends to be an iterative, rather than a
sequential, process. However, whilst there appears to be
general consensus on the overall structure of the approach,
there is less consensus on the exact nature of the tools to be
used for each step. It is evident that there is considerable reliance on the experience of individual warehouse designers in
deciding the tools to be used and in making judgements
between various alternative solutions. A comprehensive
warehouse design methodology thus appears to be a goal
that is far from being achieved.
There appear to be no optimisation or ‘‘black box” solutions for the whole design process whereby the planning
base can be fed into a tool and an optimum design is pro-
11
duced. Also, in spite of the reliance on the experience of
individuals, there appears to be limited use of ‘‘expert systems”. A study by Kurokawa (2005) identified some decision tree techniques that could form the basis for such
systems within steps 5, 6 and 9 of the framework described
above but these were rather limited in nature. Based on the
expert system analysis methodology set out by Turban and
Aronson (1998), he went on to conclude that parts of steps
1, 2, 5, 6, 8 and 9 may be suitable for the further development of expert systems.
Ashayeri and Gelders (1985) identified heuristic, analytic (i.e. optimisation) and simulation techniques and it
appears that these all have their place. Rouwenhorst
et al. (2000) grouped the different decisions that need to
be made into strategic, tactical and operational levels, with
the first two decision areas being particularly relevant to
the scope of this research. Whilst the interrelationship
between the different decisions was stressed, no method
for bringing these together was identified.
The findings of this paper are important to academics
and practitioners. The structured review of the literature
summarises the warehouse design steps that have been
put forward and the general approach that can be drawn
from this has been validated with practitioners. The contribution to theory is thus a structured approach to warehouse design, whilst the contribution to practitioners is a
validated framework, plus tools for each step that can
be used in practice. In addition, an agenda for research
can be developed from this framework, as it forms a reasonably sound basis for further reflection, study and
development.
8. Further research areas
As identified by previous literature reviews of warehouse
design, relatively little has been written about the total
design process. Owing to the high cost of such facilities
and the significant consequences of any deficiencies in this
area (Emmett, 2005), a more comprehensive and systematic
methodology is needed. It is proposed that this framework
can act as a research agenda for this area. Existing tools
that address the general warehouse design problem have
been brought together in this framework. These need to
be integrated more fully and further tools developed to
address gaps, such as those identified by Kurokawa
(2005). In this way, an overall methodology can be established that builds on previous academic research as well
as on the current techniques used by practitioners.
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