Industrial Engineering

Free to download eBook on Practical Solar Tracking Design, following the sun solar tracking system, sun tracking system, sun tracker system, solar tracker system, sun positioning system, and sun path tracking with follow the sun position calculation (azimuth, elevation, zenith), sun trajectory, sun following system, sunrise tracking, sunset tracking, sunlight-phases, dawn, dusk, moon-phase, twilight, moonrise, moonset calculator. Solar Tracking is a key Technology to unlock the full potential of RE in RES.
In harnessing power from the sun through a solar tracker or solar tracking system and following the sun, renewable energy system developers require automatic solar tracking software and solar position algorithms. As a result of the apparent motion of the sun, a sun path on-axis sun tracking system such as the altitude-azimuth dual axis or multi-axis solar tracker systems use a sun tracking algorithm or ray tracing sensors or software to ensure the sun's passage through the sky is traced with high precision in automated solar tracker applications, right through summer solstice, solar equinox and winter solstice using sun positional astronomy.

In general, this book may benefit solar research, sun surveying, sun position applet, solar energy harvesting, solar energy tracker and sun tracking solar panel applications in countries such as Africa, Mediterranean, Italy, Spain, Greece, USA, Mexico, South America, Brazilia, Argentina, Chili, India, Malaysia, Middle East, UAE, Russia, Japan and China. This book on practical automatic Solar-Tracking Sun-Tracking is in .PDF format and can easily be converted to the solar tracking system sun tracking system .EPUB .MOBI .AZW .ePub .FB2 .LIT .LRF .MOBI .PDB .PDF .TCR formats for smartphones and Kindle by using the ebook.online-convert.com facility.

From sun tracing software perspective, the sonnet Tracing The Sun has a literal meaning. Within the context of sun track and trace, this book explains that the sun's daily path across the sky is directed by relatively simple principles, and if grasped/understood, then it is relatively easy to trace the sun with sun following software. Sun Surveyor and Sun Position computer software for tracing the sun are available as open source code, sources that is listed in this book. This book also describes the use of satellite tracking software and mechanisms in solar tracking applications using Sun Microsystems and other processor architecture.
Using solar equations in an electronic circuit for solar tracking is quite simple, even if you are a novice, but mathematical solar equations are over complicated by academic experts and professors in text-books, journal articles and internet websites. In terms of solar hobbies, scholars, students and Hobbyist's looking at solar tracking electronics or PC programs for solar tracking are usually overcome by the sheer volume of scientific material and internet resources, which leaves many developers in frustration when search for simple experimental solar tracking source-code for their on-axis sun-tracking systems. This booklet will simplify the search for the mystical sun tracking formulas for your sun tracker innovation and help you develop your own autonomous solar tracking controller.

By directing the solar collector directly into the sun, a solar harvesting means or device can harness sunlight or thermal heat. This is achieved with the help of sun angle formulas, solar angle formulas or solar tracking procedures for the calculation of sun's position in the sky. Automatic sun tracking system software includes algorithms for solar altitude azimuth angle calculations required in following the sun across the sky. In using the longitude, latitude GPS coordinates of the solar tracker location, these sun tracking software tools supports precision solar tracking by determining the solar altitude-azimuth coordinates for the sun trajectory in altitude-azimuth tracking at the tracker location, using certain sun angle formulas in sun vector calculations. Instead of follow the sun software, a sun tracking sensor such as a sun sensor or camera with vision based sun following image processing software can also be used to determine the position of the sun optically. Such optical feedback devices are commonly used in solar panel tracking systems and dish tracking systems.

Dynamic sun tracing is also used in solar surveying and sun surveying systems that build solar radiance, irradiance and DNI models for GIS (geographical information system) and database systems. In such solar resource modelling systems, a pyranometer or solarimeter is used in addition to measure direct and indirect, scattered, dispersed, reflective radiation for a particular geographical location. Sunlight analysis is important in flash photography where photographic lighting are important for photographers. GIS systems are used by architects who add sun shadow applets to study architectural shading or sun shadow analysis, solar flux calculations, optical modelling or to perform weather modelling. Such systems often employ a computer operated telescope type mechanism with ray tracing program software as a solar navigator or sun tracer that determines the solar position and intensity.

Many open-source sun following and tracking algorithms and source-code for solar tracking programs and modules are freely available to download on the internet today. The purpose of this booklet is to assist developers to track and trace suitable source-code and solar tracking algorithms for their application, whether a hobbyist, scientist, technician or engineer. The solar library used by solar position calculators, solar simulation software and solar contour calculators include machine program code for the solar hardware controller which are software programmed into Micro-controllers, Programmable Logic Controllers PLC, programmable gate arrays, Arduino processor or PIC processor. PC based solar tracking is also high in demand using C++, Visual Basic VB, as well as Windows and Mac based software for sun path tables on Matlab, Excel. Some books and internet webpages use other terms, such as: sun angle calculator, sun position calculator or solar angle calculator. As said, such software code calculate the solar azimuth angle, solar altitude angle, solar elevation angle or the solar Zenith angle (Zenith solar angle is simply referenced from vertical plane, the mirror of the elevation angle measured from the horizontal or ground plane level). Similar software code is also used in solar calculator apps or the solar power calculator apps for IOS and Android smartphone devices. Most of these smartphone solar mobile apps show the sun path and sun-angles for any location and date over a 24 hour period. Some smartphones include augmented reality features in which you can physically see and look at the solar path through your cell phone camera or mobile phone camera at your phone's specific GPS location.

Software algorithms predicting position of the sun in the sky are commonly available as Java applets, C++ code, Basic, GBasic and QBasic code, Matlab and Simulink procedures, TRNSYS simulations, Scada system apps, Labview module, mobile and iphone apps, tablet apps, and so forth. At the same time, PLC software code for a range of sun tracking automation technology (mechatronic, electrical, pneumatic, hydraulic drives and motors) can follow the profile of sun in sky for Siemens, HP, Panasonic, ABB, Allan Bradley, OMRON, SEW, Festo, Beckhoff, Rockwell, Schneider, Yokonawa, or Muthibishi platforms. Sun path projection software are also available for a range of processors, including Siemens S7-1200 or Siemens Logo, OMRON PLC, Ercam PLC, AC500plc ABB, National Instruments, PIC processor, Arduino, and so forth. Analogue or digital interfacing ports on these processors allow for tracking orientation angle feedback through one or a combination of angle sensor or angle encoder, shaft encoder, precision encoder, optical encoder, magnetic encoder, direction encoder, rotational encoder, tilt sensor, inclination sensor, or pitch sensor. Note that the tracker's elevation or zenith axis angle may measured with an altitude angle, declination angle, inclination angle, pitch angle, or vertical angle, zenith axis. Similarly the tracker's azimuth axis angle be measured with a azimuth angle sensor, horizontal angle, roll angle sensor.

Many solar tracker applications cover a wide spectrum of solar energy and concentrated solar devices, including solar power generation, solar desalination, solar water purification, solar steam generation, solar electricity generation, solar industrial process heat, solar thermal heat storage, solar food dryers, hydrogen production from methane or producing hydrogen and oxygen from water (HHO). Many patented or non-patented solar apparatus include tracking in solar apparatus for solar electric generator, solar desalinator, solar steam engine, solar ice maker, solar water purifier, solar cooling, solar refrigeration, USB solar charger, solar phone charging, portable solar charging tracker, solar cooking or solar dying means. Your project may be the next breakthrough or patent, but your invention is held back by frustration in search for the sun tracker you require for your solar powered appliance, solar generator, solar tracker robot, solar freezer, solar cooker, solar drier, solar freezer, or solar dryer project. Whether your solar electronic circuit diagram include a simplified solar controller design in a solar electricity project, solar power kit, solar hobby kit, solar steam generator, solar hot water system, solar ice maker, solar desalinator, hobbyist solar panels, hobby robot, or if you are developing professional or hobby electronics for a solar utility or micro scale solar powerplant for your own solar farm or solar farming, this publication may help accelerate the development of your solar tracking innovation.

Value addition has only been measured as the difference between output and input prices and the critical roles of all functions in the process of value addition were not clearly known. Moreover, some core functions that inherently exist in the process of value addition were ignored until recently. The process of value addition and enhancement is continuous in its approach. Despite the fact that the value addition process is a continuous process, only its absolute measures were used for evaluating the intensity of value addition. Usually, value addition to a product was considered to happen only in the shop floor. In reality however, value addition is not only the responsibility of manufacturing function; rather, other functions before and after manufacturing also add significant tangible or intangible value to a product. The continuous characteristics of the value addition process can be visualized and evaluated in terms of the PDCA continuous process cycle so that value addition can be enhanced in a continuous basis. The PDCA cycle is a renowned continuous quality improvement approach and has been widely used by many successful companies as a strategic weapon for enhancing organizational performance. Hence, this paper roots its core idea towards the conceptual design of continuous value addition process using the PDCA cycle. The study also intends to identify the potential functions that were ignored and their respective roles. Thus, six core functions in the value addition process are identified and categorized into the four distinct phases of the PDCA cycle. The findings of this paper will, at large, help academicians and practitioners care for the respective roles of functions in the process of value addition and easily know how these functions interact in a continuous basis.

The articles in this issue look at how the development and use of free and open source hardware (FOSH or simply “open hardware”) are changing the face of science, engineering, business, and law.

Free and open source software (FOSS) has proven very successful and now dominates the development of software on a global scale. It is available in source code (open source) and can be used, studied, copied, modified, and redistributed either without restriction or with restrictions only to ensure that further recipients have the same open source rights.
Similarly, FOSH provides the “code” for hardware—including the bill of materials, schematics, instructions, computer-aided designs, and other information needed to recreate a physical artifact. Use of FOSH can improve product innovation in a wide range of fields. In this issue authors from a variety of disciplines and work environments discuss how this open model of innovation will drive the future of engineering.
First, Alicia Gibb, founder and executive director of the Open Source Hardware Association (OSHWA) and director of the ATLAS1 Blow Things Up (BTU) Lab at the University of Colorado Boulder, argues that hardware is the next step to open sourcing everything. She touches on intellectual property (IP) issues, cites the benefits of open source hardware, introduces and explains the role of OSHWA, and hints at the future of open hardware.

The open source paradigm is already making deep inroads in the hardware space in 3D printing. With the development of the open source RepRap project (a 3D printer that can print itself) the cost of 3D printers has dropped to a point where nearly anyone can afford one for rapid prototyping and small batch manufacturing.

Ben Malouf and Harris Kenny of Aleph Objects describe their company’s approach to the use of open hardware in every aspect of their business to create the popular Lulzbot 3D printer. Their primary product is open—and consistently wins one of the top spots in Make: Magazine’s annual 3D printer shootout, ahead of proprietary 3D printers from much larger companies with far greater resources. Lulzbot printers, and those of many other manufacturers, are rapidly increasing in sales as the number of free and open source 3D printable designs erupts on the Web, making distributed manufacturing a reality.

In this context, law professor Lucas Osborn at the Campbell University School of Law takes us on a deep dive into how IP law will need to change in this new 3D printing era. After summarizing the basics of IP law and explaining why it was created, he discusses how it could both benefit and hinder 3D printing technology. His arguments will challenge readers independent of their views on patent law. For those with conventional IP leanings, he shows how IP law can hinder innovation. For those born in the Internet age, where sharing is second nature and little thought is given to licenses as long as the code is posted on Github, he offers some important lessons. He ends with a challenge for engineers to make more of an effort in helping form IP law that will benefit innovation.
If these lessons on IP and open hardware replication with 3D printers are turned to experimental research in science and engineering, there is an important opportunity to radically reduce the costs of experimental research while improving it. In the next article I argue that by harnessing a scalable open source method, federal funding is spent just once for the development of scientific equipment and then a return on this investment (ROI) is realized by digital replication of scientific devices for only the costs of materials. With numerous examples I show that the ROI climbs into the thousands of percent while accelerating any research that the open paradigm touches. To harness this opportunity, I propose four straightforward and negative-net-cost policies to support FOSH development and improve access to scientific tools in the United States. The policies will directly save millions in research and STEM education expenditures, while providing researchers and students access to better equipment, which will promote advances in technology and concomitant benefits for the American economy.

Thinking about the future and the changes needed to support this development in STEM education, AnnMarie Thomas and Deb Besser of the St. Thomas School of Engineering consider how engineers and engineering educators can use maker methods to introduce students to engineering and build their technological literacy. They show that the maker movement is closely tied to open hardware and sharing as well as the traits of successful engineers. Makerspaces and fabrication (fab) labs (what Gibb calls hackerspaces) are physical hubs of the maker culture.
Although these trends are clearly important for the United States, this cultural change and open hardware ethos can have dramatic impacts in the developing world. Matthew Rogge, Melissa Menke, and William Hoyle of TechforTrade explain the potential for open source and 3D printing to produce many needed items in low-resource settings, where lack of infrastructure makes local production impractical and high tariffs, unreliable supply chains, and economic instability make importation costly. Saving 90 percent on medical or scientific tools is nice in my lab, for instance, but it literally saves lives in a developing world context.
The issue concludes with an op-ed by Tom Callaway, a senior software engineer at Red Hat, Inc., an open source software company with revenue over $2 billion last year (up 15 percent year over year). What makes this business accomplishment so impressive is that all of the company’s software products are available for free. Although old ways of thinking demand that companies secure a monopoly and certainly not give away “intellectual property” for free, Red Hat’s success comes from offering its customers support, collaboration, control, and a high-quality product. Tom argues that the proven open source software mentality is porting to hardware, opening up incredible opportunities for humanity. He concludes, “open source and open innovation work…. They also empower society and make it possible to push the limits of what is possible. When the barriers to collaboration are lifted, people can accomplish incredible things.”

As all of the articles show, open source tools in the hands of this and future generations of engineers will be incredible indeed.

Inventory is an important part of a company because the company must be able to ensure the availability of inventory that is ready for use in times of need, but with due regard to aspects of inventory costs. Inventory that is too much to be costly and cause shrinkage value of the goods. However, if inventory is available in minimum quantities too, the company will have difficulty in meeting the demand suddenly. Then, every industrial company should have a policy in controlling inventory at optimal conditions. Grouping inventory is done by using the ABC analysis devides inventory into three classes according to the frequency of application and amount of material. Based on these classes can then be carried out with a level of control over inventory control different for each class. Then do forecasting for some types of goods, namely spare parts Filter Bag by using the methods of forecasting. Forecasting demand / expenditure Filter Bag is done by using Moving Average, Exponential Smoothing method, method exponential, and quadratic method.

This paper aims to present an implementation of classical DEA models in R, a free software and open source, highly extensible that offers a variety of functions and graphical routines for data analysis. In this work we show both the CRS and VRS DEA models. The computational implementation is illustrated with real data from the Brazilian electric power distribution utilities.