Analytic And Simulation Models For Advanced Automated Storage Retrieval Systems
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Author | : Riccardo Manzini |
Publisher | : Springer Science & Business Media |
Total Pages | : 484 |
Release | : 2012-01-04 |
Genre | : Technology & Engineering |
ISBN | : 1447122747 |
With increased globalization and offshore sourcing, global supply chain management is becoming an important issue for many businesses as it involves a company's worldwide interests and suppliers rather than simply a local or national orientation. The storage systems significantly affect the level of quality of products, the customer’s service level, and the global logistic cost. The mission of warehousing systems design, control and optimization is to effectively ship products in the right place, at the right time, and in the right quantity (i.e. in any configuration) without any damages or alterations, and minimizing costs. Warehousing in the Global Supply Chain presents and discusses a set of models, tools and real applications, including a few case studies rarely presented with a sufficient detail by other literature, to illustrate the main challenges in warehousing activities. This includes all warehouse operations (from receiving to shipping), problems and issues (e.g. storage allocation, assignment, layout, vehicle routing) for industrial and service systems as parts of global supply chains. Advanced and effective solving methods are also illustrated and the discussed case studies help the reader to quickly apply the proposed models and techniques/algorithms. Warehousing in the Global Supply Chain is useful to managers and practitioners of industry and service sectors for the determination and modeling of the critical issues concerning warehousing systems planning and design. It is a valuable source of information for engineering students, doctoral and post-doctoral students, and researchers of academic institutions who are searching for advanced modeling approaches and solving techniques to complex logistic decision making problems. Warehousing in the Global Supply Chain presents and discusses a set of models, tools and real applications, including a few case studies rarely presented with a sufficient detail by other literature, to illustrate the main challenges in warehousing activities. This includes all warehouse operations (from receiving to shipping), problems and issues (e.g. storage allocation, assignment, layout, vehicle routing) for industrial and service systems as parts of global supply chains. Advanced and effective solving methods are also illustrated and the discussed case studies help the reader to quickly apply the proposed models and techniques/algorithms. Warehousing in the Global Supply Chain is useful to managers and practitioners of industry and service sectors for the determination and modeling of the critical issues concerning warehousing systems planning and design. It is a valuable source of information for engineering students, doctoral and post-doctoral students, and researchers of academic institutions who are searching for advanced modeling approaches and solving techniques to complex logistic decision making problems.
Author | : |
Publisher | : |
Total Pages | : 1066 |
Release | : 1986 |
Genre | : Mechanics, Applied |
ISBN | : |
Author | : Tolga Bektaş |
Publisher | : Springer |
Total Pages | : 597 |
Release | : 2017-10-11 |
Genre | : Computers |
ISBN | : 3319684965 |
This book constitutes the refereed proceedings of the 8th InternationalConference on Computational Logistics, ICCL 2017, held in Southampton,UK, in October 2017.The 38 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized in topical sections entitled: vehicle routing and scheduling; maritime logistics;synchromodal transportation; and transportation, logistics and supply chain planning.
Author | : Tayfur Altiok |
Publisher | : Elsevier |
Total Pages | : 462 |
Release | : 2010-07-26 |
Genre | : Technology & Engineering |
ISBN | : 0080548954 |
Simulation Modeling and Analysis with Arena is a highly readable textbook which treats the essentials of the Monte Carlo discrete-event simulation methodology, and does so in the context of a popular Arena simulation environment. It treats simulation modeling as an in-vitro laboratory that facilitates the understanding of complex systems and experimentation with what-if scenarios in order to estimate their performance metrics. The book contains chapters on the simulation modeling methodology and the underpinnings of discrete-event systems, as well as the relevant underlying probability, statistics, stochastic processes, input analysis, model validation and output analysis. All simulation-related concepts are illustrated in numerous Arena examples, encompassing production lines, manufacturing and inventory systems, transportation systems, and computer information systems in networked settings. - Introduces the concept of discrete event Monte Carlo simulation, the most commonly used methodology for modeling and analysis of complex systems - Covers essential workings of the popular animated simulation language, ARENA, including set-up, design parameters, input data, and output analysis, along with a wide variety of sample model applications from production lines to transportation systems - Reviews elements of statistics, probability, and stochastic processes relevant to simulation modeling
Author | : Maher Lahmar |
Publisher | : CRC Press |
Total Pages | : 338 |
Release | : 2007-12-13 |
Genre | : Business & Economics |
ISBN | : 1420013718 |
The design of facilities, warehouses, and material-handling systems as well as the management of logistics operations significantly impact the success of industrial projects. Facility Logistics: Approaches and Solutions to Next Generation Challenges explores recent developments in the technology, industrial practices, and business environments of f
Author | : University of Michigan |
Publisher | : UM Libraries |
Total Pages | : 822 |
Release | : 1993 |
Genre | : Education, Higher |
ISBN | : |
Each number is the catalogue of a specific school or college of the University.
Author | : Averill Law |
Publisher | : McGraw-Hill Science/Engineering/Math |
Total Pages | : 792 |
Release | : 2006-07-21 |
Genre | : Technology & Engineering |
ISBN | : 9780073294414 |
Since the publication of the first edition in 1982, the goal of Simulation Modeling and Analysis has always been to provide a comprehensive, state-of-the-art, and technically correct treatment of all important aspects of a simulation study. The book strives to make this material understandable by the use of intuition and numerous figures, examples, and problems. It is equally well suited for use in university courses, simulation practice, and self study. The book is widely regarded as the “bible” of simulation and now has more than 100,000 copies in print. The book can serve as the primary text for a variety of courses; for example: • A first course in simulation at the junior, senior, or beginning-graduate-student level in engineering, manufacturing, business, or computer science (Chaps. 1 through 4, and parts of Chaps. 5 through 9). At the end of such a course, the students will be prepared to carry out complete and effective simulation studies, and to take advanced simulation courses. • A second course in simulation for graduate students in any of the above disciplines (most of Chaps. 5 through 12). After completing this course, the student should be familiar with the more advanced methodological issues involved in a simulation study, and should be prepared to understand and conduct simulation research. • An introduction to simulation as part of a general course in operations research or management science (part of Chaps. 1, 3, 5, 6, and 9).
Author | : Doerr, Katharina |
Publisher | : KIT Scientific Publishing |
Total Pages | : 294 |
Release | : 2018-08-16 |
Genre | : Technology (General) |
ISBN | : 3731507935 |
A general analytical travel time model for the quadruple command cycle in double deep storage systems with a dual capacity load handling device is formulated and validated by means of a simulation model. Various routing and sequencing strategies are composed. A simulation model is used to compare strategies for differnt AS/RS configurations and settings to assess them in consideration of real-world cases. For selected strategies, analytical formulations are derived.
Author | : Manuel D. Rossetti |
Publisher | : John Wiley & Sons |
Total Pages | : 746 |
Release | : 2015-05-26 |
Genre | : Mathematics |
ISBN | : 111885814X |
Emphasizes a hands-on approach to learning statistical analysis and model building through the use of comprehensive examples, problems sets, and software applications With a unique blend of theory and applications, Simulation Modeling and Arena®, Second Edition integrates coverage of statistical analysis and model building to emphasize the importance of both topics in simulation. Featuring introductory coverage on how simulation works and why it matters, the Second Edition expands coverage on static simulation and the applications of spreadsheets to perform simulation. The new edition also introduces the use of the open source statistical package, R, for both performing statistical testing and fitting distributions. In addition, the models are presented in a clear and precise pseudo-code form, which aids in understanding and model communication. Simulation Modeling and Arena, Second Edition also features: Updated coverage of necessary statistical modeling concepts such as confidence interval construction, hypothesis testing, and parameter estimation Additional examples of the simulation clock within discrete event simulation modeling involving the mechanics of time advancement by hand simulation A guide to the Arena Run Controller, which features a debugging scenario New homework problems that cover a wider range of engineering applications in transportation, logistics, healthcare, and computer science A related website with an Instructor’s Solutions Manual, PowerPoint® slides, test bank questions, and data sets for each chapter Simulation Modeling and Arena, Second Edition is an ideal textbook for upper-undergraduate and graduate courses in modeling and simulation within statistics, mathematics, industrial and civil engineering, construction management, business, computer science, and other departments where simulation is practiced. The book is also an excellent reference for professionals interested in mathematical modeling, simulation, and Arena.
Author | : American Society of Tool and Manufacturing Engineers |
Publisher | : |
Total Pages | : 170 |
Release | : 1983 |
Genre | : Industrial engineering |
ISBN | : |