Stochastic Models for Make-to-stock Production-inventory Systems
Author: Yihong Fan
Publisher:
Published: 2008
Total Pages: 184
ISBN-13:
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Stochastic Models of Production-inventory Systems
Author:
Publisher:
Published: 2004
Total Pages: 276
ISBN-13:
DOWNLOAD EBOOKFoundations of Stochastic Inventory Theory
Author: Evan L. Porteus
Publisher: Stanford University Press
Published: 2002
Total Pages: 330
ISBN-13: 9780804743990
DOWNLOAD EBOOKThis book has a dual purpose?serving as an advanced textbook designed to prepare doctoral students to do research on the mathematical foundations of inventory theory, and as a reference work for those already engaged in such research. All chapters conclude with exercises that either solidify or extend the concepts introduced.
Capacity and Inventory Planning for Make-to-Order Production Systems
Author: Klaus Altendorfer
Publisher: Springer Science & Business Media
Published: 2013-07-31
Total Pages: 150
ISBN-13: 3319008439
DOWNLOAD EBOOKThe book presents different models for the simultaneous optimization problem of capacity investment and work release rule parameterization. The overall costs are minimized either including backorder costs or considering a service level constraint. The available literature is extended with the integration of a distributed customer required lead time in addition to the actual demand distribution. Furthermore, an endogenous production lead time is introduced. Different models for make-to-order production systems with one or multiple serial processing stages are developed. Capacity investment is linked to the processing rates of the machines or to the number of the machines. Results are equations for service level, tardiness, and FGI lead time in such a production system. For special cases with M/M/1 and M/M/s queues explicit solutions of the optimization problems or optimality conditions concerning capacity investment and work release rule parameterization are provided.
Stochastic Modeling and Optimization of Manufacturing Systems and Supply Chains
Author: J. George Shanthikumar
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 413
ISBN-13: 1461503736
DOWNLOAD EBOOKThis volume originates from two workshops, both focusing on themes that are reflected in the title of the volume. The first workshop took place at Eindhoven University of Technology, April 24-26, 2001, on the occasion of the University granting a doctorate honoris causa to Profes sor John A. Buzacott. The second workshop was held on June 15, 2002 at Cornell University (preceding the annual INFORMSjMSOM Confer ence), honoring John's retirement and his lifetime contributions. Each of the two workshops consisted of about a dozen technical presentations. The objective of the volume, however, is not to simply publish the proceedings of the two workshops. Rather, our objective is to put to gether a select set of articles, each organized into a well-written chapter, focusing on a timely topic. Collected into a single volume, these chapters aim to serve as a useful reference for researchers and practitioners alike, and also as reading materials for graduate courses or seminars.
Stochastic Modeling of Manufacturing Systems
Author: George Liberopoulos
Publisher: Springer Science & Business Media
Published: 2005-12-12
Total Pages: 363
ISBN-13: 3540290575
DOWNLOAD EBOOKManufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.
Handbook of Stochastic Models and Analysis of Manufacturing System Operations
Author: J. MacGregor Smith
Publisher: Springer Science & Business Media
Published: 2013-05-17
Total Pages: 397
ISBN-13: 1461467772
DOWNLOAD EBOOKThis handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using analytical models to design and control manufacturing systems and their operations entail critical stochastic performance analysis as well as integrated optimization models of these systems. Topics deal with the areas of facilities planning, transportation, and material handling systems, logistics and supply chain management, and integrated productivity and quality models covering: • Stochastic modeling and analysis of manufacturing systems • Design, analysis, and optimization of manufacturing systems • Facilities planning, transportation, and material handling systems analysis • Production planning, scheduling systems, management, and control • Analytical approaches to logistics and supply chain management • Integrated productivity and quality models, and their analysis • Literature surveys of issues relevant in manufacturing systems • Case studies of manufacturing system operations and analysis Today’s manufacturing system operations are becoming increasingly complex. Advanced knowledge of best practices for treating these problems is not always well known. The purpose of the book is to create a foundation for the development of stochastic models and their analysis in manufacturing system operations. Given the handbook nature of the volume, introducing basic principles, concepts, and algorithms for treating these problems and their solutions is the main intent of this handbook. Readers unfamiliar with these research areas will be able to find a research foundation for studying these problems and systems.
Stochastic Modeling and Analysis of Manufacturing Systems
Author: David D. Yao
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 369
ISBN-13: 1461226708
DOWNLOAD EBOOKManufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research. The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.
Analysis of Inventory Systems
Author: George F Hadley
Publisher:
Published: 2012-03-01
Total Pages: 464
ISBN-13: 9781258240233
DOWNLOAD EBOOKApplied Probability and Stochastic Processes
Author: V. C. Joshua
Publisher: Springer Nature
Published: 2020-08-29
Total Pages: 518
ISBN-13: 9811559511
DOWNLOAD EBOOKThis book gathers selected papers presented at the International Conference on Advances in Applied Probability and Stochastic Processes, held at CMS College, Kerala, India, on 7–10 January 2019. It showcases high-quality research conducted in the field of applied probability and stochastic processes by focusing on techniques for the modelling and analysis of systems evolving with time. Further, it discusses the applications of stochastic modelling in queuing theory, reliability, inventory, financial mathematics, operations research, and more. This book is intended for a broad audience, ranging from researchers interested in applied probability, stochastic modelling with reference to queuing theory, inventory, and reliability, to those working in industries such as communication and computer networks, distributed information systems, next-generation communication systems, intelligent transportation networks, and financial markets.
