Papers by Javaneh Ramezani
Operations Research and Decisions
Multi-criteria decision-making (MCDM) methods have been implemented in many fields. In the meanti... more Multi-criteria decision-making (MCDM) methods have been implemented in many fields. In the meantime, several methods have been proposed to obtain the weight of the criteria determined by various methods in different ways. In this paper, a new approach, called simultaneous interpretive structural modelling and weighting (SISMW), is proposed to solve a multi-criterion decision-making (MCDM) problem. Using SISMW, the weight of the criteria and the relationship between them could be determined simultaneously. In this approach, like the ISM method, pair comparison between criteria was made by the decision-maker to determine the relationships among the different criteria. With the help of this data, the weight of the criteria, as well as the causal (cause and effect) relationships between them, were determined in 12 steps. The main advantage of this method is that only one stage of data collection is required for obtaining weights and modelling, and so the research process may be faster. ...
Processes, 2020
Industry 4.0 (I4.0) represents the Fourth Industrial Revolution in manufacturing, expressing the ... more Industry 4.0 (I4.0) represents the Fourth Industrial Revolution in manufacturing, expressing the digital transformation of industrial companies employing emerging technologies. Factories of the future will enjoy hybrid solutions, while quality is the heart of all manufacturing systems regardless of the type of production and products. Quality 4.0 is a branch of I4.0 with the aim of boosting quality by employing smart solutions and intelligent algorithms. There are many conceptual frameworks and models, while the main challenge is to have the experience of Quality 4.0 in action at the workshop level. In this paper, a hybrid model based on a neural network (NN) and expert system (ES) is proposed for dealing with control chart patterns (CCPs). The idea is to have, instead of a passive descriptive model, a smart predictive model to recommend corrective actions. A construction plaster-producing company was used to present and evaluate the advantages of this novel approach, while the resu...
International Journal of Computers Communications & Control, 2020
Evaluating organizational readiness for adopting new technologies always was an important issue f... more Evaluating organizational readiness for adopting new technologies always was an important issue for managers. This issue for complicated subjects such as Big Data is undeniable. Managers tend to adopt Big Data, with the best readiness. But this is not possible unless they can assess their readiness. In the present paper, we propose a model to evaluate the organizational readiness for Big Data adoption. To accomplish this objective, firstly, we identified the criteria that impact organizational readiness based on a comprehensive literature review. In the next step using Principal Component Analysis (PCA) for criterion reduction and integration, twelve main criteria were identified. Then the hierarchical structure of criteria was developed. Further, Fuzzy Best- Worst Method (FBWM) has been used to identify the weight of the criteria. The finding enables decision-makers to appropriately choose the more important criteria and drop unimportant criteria in strengthening organizational rea...
Applied Sciences, 2019
The notion of digital transformation encompasses the adoption and integration of a variety of new... more The notion of digital transformation encompasses the adoption and integration of a variety of new information and communication technologies for the development of more efficient, flexible, agile, and sustainable solutions for industrial systems. Besides technology, this process also involves new organizational forms and leads to new business models. As such, this work addresses the contribution of collaborative networks to such a transformation. An analysis of the collaborative aspects required in the various dimensions of the 4th industrial revolution is conducted based on a literature survey and experiences gained from several research projects. A mapping between the identified collaboration needs and research results that can be adopted from the collaborative networks area is presented. Furthermore, several new research challenges are identified and briefly characterized.
Procedia Computer Science, 2019
Turbulence and unexpected disruptive events are showing with an increasing frequency and growing ... more Turbulence and unexpected disruptive events are showing with an increasing frequency and growing impact, which represent major challenges for sustainability of businesses. Therefore, finding how organizations can strive and even improve or gain benefits in disruptive environment scenarios became a relevant research area, for which resilience and antifragility represent two significant approaches. This paper argues that collaboration in business ecosystems is a promising approach to cope with disruptions. A brief overview of existing strategies as potential building blocks for resilience and antifragility is presented. Then, in order to study the strategies that can better apply, a modelling and simulation framework based on multi-agents and system dynamics is introduced, and the main modelling issues are discussed considering the context of Industry 4.0.
IFIP Advances in Information and Communication Technology, 2017
IFIP was founded in 1960 under the auspices of UNESCO, following the first World Computer Congres... more IFIP was founded in 1960 under the auspices of UNESCO, following the first World Computer Congress held in Paris the previous year. A federation for societies working in information processing, IFIP's aim is two-fold: to support information processing in the countries of its members and to encourage technology transfer to developing nations. As its mission statement clearly states: IFIP is the global non-profit federation of societies of ICT professionals that aims at achieving a worldwide professional and socially responsible development and application of information and communication technologies. IFIP is a non-profit-making organization, run almost solely by 2500 volunteers. It operates through a number of technical committees and working groups, which organize events and publications. IFIP's events range from large international open conferences to working conferences and local seminars. The flagship event is the IFIP World Computer Congress, at which both invited and contributed papers are presented. Contributed papers are rigorously refereed and the rejection rate is high. As with the Congress, participation in the open conferences is open to all and papers may be invited or submitted. Again, submitted papers are stringently refereed. The working conferences are structured differently. They are usually run by a working group and attendance is generally smaller and occasionally by invitation only. Their purpose is to create an atmosphere conducive to innovation and development. Refereeing is also rigorous and papers are subjected to extensive group discussion. Publications arising from IFIP events vary. The papers presented at the IFIP World Computer Congress and at open conferences are published as conference proceedings, while the results of the working conferences are often published as collections of selected and edited papers. IFIP distinguishes three types of institutional membership: Country Representative Members, Members at Large, and Associate Members. The type of organization that can apply for membership is a wide variety and includes national or international societies of individual computer scientists/ICT professionals, associations or federations of such societies, government institutions/government related organizations, national or international research institutes or consortia, universities, academies of sciences, companies, national or international associations or federations of companies.
Heliyon, 2020
In recent years, the selection of a robot for particular industrial purposes is one of the most c... more In recent years, the selection of a robot for particular industrial purposes is one of the most challenging problems in the manufacturing environment based on automation and smartness for real-time decision-making. At present, several types of industrial robots with various capabilities, features, facilities, and specifications are available in the market. This makes the decision-making process more and more complicated due to the increase in complexity, advanced technologies, and features that are continually being incorporated into the robots by several manufacturers. The decision-maker needs to identify and select the best-suited robot to attain the desired output with precise application ability, and minimum cost. This paper tries to solve the robot selection problem using Fuzzy Best-Worst Method and PROMETHEE as the two most appropriate multi-criteria decision-making (MCDM) methods for weighting criteria and ranking of decision alternatives, respectively.
The notion of Industry 4.0 encompasses the adoption of new information technologies that enable a... more The notion of Industry 4.0 encompasses the adoption of new information technologies that enable an enormous amount of information to be digitally collected, analysed, and exploited in organizations to make better decisions. Therefore, finding how organizations can adopt big data components to improve their performance became a relevant research area. This issue is becoming more pertinent for SMEs. This study investigates the impact of big data adoption on SMEs performance by obtaining the required data from experts. The quantitative investigation followed a mixed approach, including survey data from 224 managers from Iranian SMEs, and a SEM methodology for the data analysis. Results showed that 12 factors affected the BDA in SMEs. BDA can affect both operational performance and economic performance, there has been no support for the influence of BDA and economic performance on social performance. Finally, the study implications and findings are discussed alongside future research av...
Technological Forecasting and Social Change
Contemporary business ecosystems are continuously challenged by unexpected disruptive events, whi... more Contemporary business ecosystems are continuously challenged by unexpected disruptive events, which are increasing in their frequency and effects. A critical question is why do some organizations collapse in face of extreme events, while others not? On the other hand, current engineering and socio-technical systems were designed to operate in "mostly stable" situations; sporadic instability and disturbances are at best captured by exception handling mechanisms, focusing on reliability and robustness. Recent and more ambitious design goals, however, aim at building systems that are expected to cope with severe disruptions, and survive or even thrive in a context of volatility and uncertainty. This led to an increasing attention to the concepts of resilience and antifragility. As such, this article introduces the findings of a comprehensive literature survey aimed at shedding light on emerging concepts and approaches to handle disruptions in business ecosystems. Main contributions include a clarification of related concepts, identification and classification of disruption sources and drivers, and extensive lists of strategies and underlying capabilities to cope with disruptions. Related perspectives and approaches developed in multiple knowledge areas are also analysed and synthesized. Finally, a collection of engineered systems implementing promising approaches to increase resilience and antifragility are presented.
Processes, 2020
Industry 4.0 (I4.0) represents the Fourth Industrial Revolution in manufacturing, expressing the ... more Industry 4.0 (I4.0) represents the Fourth Industrial Revolution in manufacturing, expressing the digital transformation of industrial companies employing emerging technologies. Factories of the future will enjoy hybrid solutions, while quality is the heart of all manufacturing systems regardless of the type of production and products. Quality 4.0 is a branch of I4.0 with the aim of boosting quality by employing smart solutions and intelligent algorithms. There are many conceptual frameworks and models, while the main challenge is to have the experience of Quality 4.0 in action at the workshop level. In this paper, a hybrid model based on a neural network (NN) and expert system (ES) is proposed for dealing with control chart patterns (CCPs). The idea is to have, instead of a passive descriptive model, a smart predictive model to recommend corrective actions. A construction plaster-producing company was used to present and evaluate the advantages of this novel approach, while the result shows the competency and eligibility of Quality 4.0 in action.
Heliyon, 2020
In recent years, the selection of a robot for particular industrial purposes is one of the most c... more In recent years, the selection of a robot for particular industrial purposes is one of the most challenging problems in the manufacturing environment based on automation and smartness for real-time decision making. At present, several types of industrial robots with various capabilities, features, facilities, and specifications are available in the market. This makes the decision-making process more and more complicated due to the increase in complexity, advanced technologies, and features that are continually being incorporated into the robots by several manufacturers. The decision-maker needs to identify and select the best-suited robot to attain the desired output with precise application ability, and minimum cost. This paper tries to solve the robot selection problem using Fuzzy Best-Worst Method and PROMETHEE as the two most appropriate multi-criteria decision-making (MCDM) methods for weighting criteria and ranking of decision alternatives, respectively.
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2020
Evaluating organizational readiness for adopting new technologies always was an important issue f... more Evaluating organizational readiness for adopting new technologies always was an important issue for managers. This issue for complicated subjects such as Big Data is undeniable. Managers tend to adopt Big Data, with the best readiness. But this is not possible unless they can assess their readiness. In the present paper, we propose a model to evaluate the organizational readiness for Big Data adoption. To accomplish this objective, firstly, we identified the criteria that impact organizational readiness based on a comprehensive literature review. In the next step using Principal Component Analysis (PCA) for criterion reduction and integration, twelve main criteria were identified. Then the hierarchical structure of criteria was developed. Further, Fuzzy BestWorst Method (FBWM) has been used to identify the weight of the criteria. The finding enables decision-makers to appropriately choose the more important criteria and drop unimportant criteria in strengthening organizational readiness for Big Data adoption. Statistics-based hierarchical model and MCDM based criteria weighting have been proposed, which is a new effort in evaluating organizational readiness for Big Data adoption.
Procedia Computer Science, 2019
Turbulence and unexpected disruptive events are showing with an increasing frequency and growing ... more Turbulence and unexpected disruptive events are showing with an increasing frequency and growing impact, which represent major challenges for sustainability of businesses. Therefore, finding how organizations can strive and even improve or gain benefits in disruptive environment scenarios became a relevant research area, for which resilience and antifragility represent two significant approaches. This paper argues that collaboration in business ecosystems is a promising approach to cope with disruptions. A brief overview of existing strategies as potential building blocks for resilience and antifragility is presented. Then, in order to study the strategies that can better apply, a modelling and simulation framework based on multi-agents and system dynamics is introduced, and the main modelling issues are discussed considering the context of Industry 4.0.
Procedia Computer Science, 2019
Ramezani J., Camarinha-Matos L.M. A collaborative approach to resilient and antifragile business ... more Ramezani J., Camarinha-Matos L.M. A collaborative approach to resilient and antifragile business ecosystems. Abstract Turbulence and unexpected disruptive events are showing with an increasing frequency and growing impact, which represent major challenges for sustainability of businesses. Therefore, finding how organizations can strive and even improve or gain benefits in disruptive environment scenarios became a relevant research area, for which resilience and antifragility represent two significant approaches. This paper argues that collaboration in business ecosystems is a promising approach to cope with disruptions. A brief overview of existing strategies as potential building blocks for resilience and antifragility is presented. Then, in order to study the strategies that can better apply, a modelling and simulation framework based on multi-agents and system dynamics is introduced, and the main modelling issues are discussed considering the context of Industry 4.0.
Applied Sciences, 2019
The notion of digital transformation encompasses the adoption and integration of a variety of new... more The notion of digital transformation encompasses the adoption and integration of a variety of new information and communication technologies for the development of more efficient, flexible, agile, and sustainable solutions for industrial systems. Besides technology, this process also involves new organizational forms and leads to new business models. As such, this work addresses the contribution of collaborative networks to such a transformation. An analysis of the collaborative aspects required in the various dimensions of the 4th industrial revolution is conducted based on a literature survey and experiences gained from several research projects. A mapping between the identified collaboration needs and research results that can be adopted from the collaborative networks area is presented. Furthermore, several new research challenges are identified and briefly characterized.
Technological Forecasting and Social Change, 2020
Contemporary business ecosystems are continuously challenged by unexpected disruptive events, whi... more Contemporary business ecosystems are continuously challenged by unexpected disruptive events, which are increasing in their frequency and effects. A critical question is why do some organizations collapse in face of extreme events, while others not? On the other hand, current engineering and socio-technical systems were designed to operate in "mostly stable" situations; sporadic instability and disturbances are at best captured by exception handling mechanisms, focusing on reliability and robustness. Recent and more ambitious design goals, however, aim at building systems that are expected to cope with severe disruptions, and survive or even thrive in a context of volatility and uncertainty. This led to an increasing attention to the concepts of resilience and antifragility. As such, this article introduces the findings of a comprehensive literature survey aimed at shedding light on emerging concepts and approaches to handle disruptions in business ecosystems. Main contributions include a clarification of related concepts, identification and classification of disruption sources and drivers, and extensive lists of strategies and underlying capabilities to cope with disruptions. Related perspectives and approaches developed in multiple knowledge areas are also analysed and synthesized. Finally, a collection of engineered systems implementing promising approaches to increase resilience and antifragility are presented.
International Young Engineers Forum (YEF-ECE), 2019
The increasing growth of information and communication technologies along with the extensive reli... more The increasing growth of information and communication technologies along with the extensive reliance of today's organizations and businesses on these technologies have rendered decisions on how to outsource the implementation of information system (IS) as well as information technology (IT) projects. Besides, the selection of competent contractors for IS/IT projects is one of the most crucial issues with which organizations must deal. Therefore, numerous researchers have conducted studies in this regard. However, because of the expanded and intensive inter-organizational interactions and inevitable disruptions, there is a need that evaluation criteria and methods of contractor selection be revised or completed. Resiliency, therefore, as the ability to minimize the adverse impact of disruptions and maximize the ability to recover from them, should be afforded further attention. To this end, by reviewing the existing literature on contractor evaluation and some researches on the subject of resiliency, as well as through interviewing a number of experts, the present study collected a set of relevant criteria. Afterward, with the idea of having the evaluation of contractors be more specifically indicative of their resilience, a revised categorization of the criteria was proposed, then screened and approved by experts. Finally, using the Best Worst Method (BWM), the weight and significance of the criteria were determined.
Doctoral Conference on Computing, Electrical and Industrial Systems, 2019
Today's business world is continuously challenged by unexpected disruptive events, which are incr... more Today's business world is continuously challenged by unexpected disruptive events, which are increasing in their frequency and effects. As a consequence, it is plausible to foresee future scenarios in which turbulence and instability are no longer considered as episodic crises, but rather somewhat the "norm" or the default status. This trend naturally raises the question of how organizations can strive and even gain in such disruptive environments, and which characteristics are required for combating disruptions. Resilience and antifragility are two emerging approaches to handle disruptions. Through a literature review, this paper identifies several strategies that contribute to business ecosystem's resilience or antifragility. Furthermore, it is also shown that contributions from a number of disciplinary areas, including Collaborative Networks, Systems Thinking, Thermodynamics, Management science, and ICT, can provide complementary views and support. A set of promising examples of applications of the discussed approaches are presented and briefly analyzed. Finally, a number of open questions and directions for further research are presented.
Doctoral Conference on Computing, Electrical and Industrial Systems, 2017
Emerging technologies could affect future of factories and smartness is the main trend to receive... more Emerging technologies could affect future of factories and smartness is the main trend to receive that points. Quality was important and will be crucial in future but the question is how to build Smart Systems to guaranty quality in workshop level. This is an important challenge in Industry 4.0 paradigm. In this paper the main objective is to present practical solution under the light of Industry 4.0. The aim of this study is to propose a Hybrid Expert Decision Support System (EDSS) model, which integrates Neural Network (NN) and Expert System (ES) to detect unnatural CCPs and to estimate the corresponding parameters and starting point of the detected CCP. For this purpose, Learning Vector Quantization (LVQ) and Multi-Layer Perceptron (MLP) networks architecture have been designed to identify unnatural CCPs. Moreover, a rule based ES has been developed for diagnosing causes of process variations and subsequently recommending corrective action. The proposed model was successfully implemented in Construction Plaster producing company to demonstrate the capabilities and applicability of the model.
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Papers by Javaneh Ramezani
Books by Javaneh Ramezani