Coordinated Control Of Multi Stage Inventory Systems PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Coordinated Control Of Multi Stage Inventory Systems PDF full book. Access full book title Coordinated Control Of Multi Stage Inventory Systems.

Multi-Stage Production Planning and Inventory Control

Multi-Stage Production Planning and Inventory Control
Author: Sven Axsäter
Publisher: Springer Science & Business Media
Total Pages: 270
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3642516939

Download Multi-Stage Production Planning and Inventory Control Book in PDF, ePub and Kindle

This paper treats a two-echelon inventory system. The higher echelon is a single location reffered to as the depot, which places orders for supply of a single com modity. The lower echelon consists of several points, called the retailers, which are supplied by shipments from the depot, and at which random demands for the item occur. Stocks are reviewed and decisions are made periodically. Orders and/or shipments may each require a fixed lead time before reaching their respective desti nations. Section II gives a short literature review of distribution research. Section III introduces the multi-echelon distribution system together with the underlying as sumptions and gives a description of how this problem can be viewed as a Markovian Decision Process. Section IV discusses the concept of cost modifications in a distribution context. Section V presents the test-examples together with their optimal solutions and also gives the characteristic properties of these optimal solutions. These properties then will be used in section VI to give adapted ver sions of various heuristics which were used in assembly experiments previously and which will be tested against the test-examples.


Stochastic Modeling of Manufacturing Systems

Stochastic Modeling of Manufacturing Systems
Author: George Liberopoulos
Publisher: Springer Science & Business Media
Total Pages: 363
Release: 2005-12-12
Genre: Business & Economics
ISBN: 3540290575

Download Stochastic Modeling of Manufacturing Systems Book in PDF, ePub and Kindle

Manufacturing 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.


Dynamic Control of Quality in Production-Inventory Systems

Dynamic Control of Quality in Production-Inventory Systems
Author: David D. Yao
Publisher: Springer Science & Business Media
Total Pages: 219
Release: 2006-05-02
Genre: Technology & Engineering
ISBN: 0387227792

Download Dynamic Control of Quality in Production-Inventory Systems Book in PDF, ePub and Kindle

Looks at quality management in a new way; Offers a very different mathematical tool set than traditionally employed for quality control problems; Yao is a leading researcher in the area of stochastic modeling and the author of a previous Springer book


Decision Sciences

Decision Sciences
Author: Raghu Nandan Sengupta
Publisher: CRC Press
Total Pages: 936
Release: 2016-11-30
Genre: Business & Economics
ISBN: 1351727400

Download Decision Sciences Book in PDF, ePub and Kindle

This handbook is an endeavour to cover many current, relevant, and essential topics related to decision sciences in a scientific manner. Using this handbook, graduate students, researchers, as well as practitioners from engineering, statistics, sociology, economics, etc. will find a new and refreshing paradigm shift as to how these topics can be put to use beneficially. Starting from the basics to advanced concepts, authors hope to make the readers well aware of the different theoretical and practical ideas, which are the focus of study in decision sciences nowadays. It includes an excellent bibliography/reference/journal list, information about a variety of datasets, illustrated pseudo-codes, and discussion of future trends in research. Covering topics ranging from optimization, networks and games, multi-objective optimization, inventory theory, statistical methods, artificial neural networks, times series analysis, simulation modeling, decision support system, data envelopment analysis, queueing theory, etc., this reference book is an attempt to make this area more meaningful for varied readers. Noteworthy features of this handbook are in-depth coverage of different topics, solved practical examples, unique datasets for a variety of examples in the areas of decision sciences, in-depth analysis of problems through colored charts, 3D diagrams, and discussions about software.


Supply Chain Coordination under Uncertainty

Supply Chain Coordination under Uncertainty
Author: Tsan-Ming Choi
Publisher: Springer Science & Business Media
Total Pages: 651
Release: 2011-08-14
Genre: Business & Economics
ISBN: 3642192572

Download Supply Chain Coordination under Uncertainty Book in PDF, ePub and Kindle

Channel coordination is a core subject of supply chain management. Over the past decade, much research effort has been devoted to exploring the detailed mechanisms for achieving supply chain coordination under uncertainty, generating many fruitful analytical and empirical results. Despite the abundance of research results, there is an absence of a comprehensive reference source that provides state-of-the-art findings on both theoretical and applied research on the subject. In addition, with the advance of knowledge and technologies, many new topics on supply chain coordination under uncertainty have appeared in recent years. This handbook extensively examines supply chain coordination challenges with a focal point on discovering innovative measures that can help tackle the existing and emerging challenges. The book is organized into five parts, which include chapters on innovative analytical models for coordination, channel power and bargaining, technological advancements and applications, empirical analysis, cases studies and review. This handbook provides new empirical and analytical results with precious insights, which will not only help supply chain agents to understand more about the latest measures for supply chain coordination under uncertainty, but also help practitioners and researchers to know how to improve supply chain performance based on innovative methods.