Optimality of Myopic Inventory Policies Under Dependent Demand
Author: Gordon Duane Johnson
Publisher:
Published: 1973
Total Pages: 514
ISBN-13:
DOWNLOAD EBOOKRead and Download eBook Full
Author: Gordon Duane Johnson
Publisher:
Published: 1973
Total Pages: 514
ISBN-13:
DOWNLOAD EBOOKAuthor: S.C. Graves
Publisher: Elsevier
Published: 1993-05-27
Total Pages: 780
ISBN-13: 9780444874726
DOWNLOAD EBOOKHandbook
Author: A. Refik Güllü
Publisher:
Published: 1993
Total Pages: 310
ISBN-13:
DOWNLOAD EBOOKAuthor: David Simchi-Levi
Publisher: Taylor & Francis
Published: 2004-05-31
Total Pages: 840
ISBN-13: 9781402079528
DOWNLOAD EBOOKThe Handbook is a comprehensive research reference that is essential for anyone interested in conducting research in supply chain. Unique features include: -A focus on the intersection of quantitative supply chain analysis and E-Business, -Unlike other edited volumes in the supply chain area, this is a handbook rather than a collection of research papers. Each chapter was written by one or more leading researchers in the area. These authors were invited on the basis of their scholarly expertise and unique insights in a particular sub-area, -As much attention is given to looking back as to looking forward. Most chapters discuss at length future research needs and research directions from both theoretical and practical perspectives, -Most chapters describe in detail the quantitative models used for analysis and the theoretical underpinnings; many examples and case studies are provided to demonstrate how the models and the theoretical insights are relevant to real situations, -Coverage of most state-of-the-art business practices in supply chain management.
Author: Karl G. Kempf
Publisher: Springer Science & Business Media
Published: 2011-01-12
Total Pages: 652
ISBN-13: 1441964851
DOWNLOAD EBOOKIn two volumes, Planning Production and Inventories in the Extended Enterprise: A State of the Art Handbook examines production planning across the extended enterprise against a backdrop of important gaps between theory and practice. The early chapters describe the multifaceted nature of production planning problems and reveal many of the core complexities. The middle chapters describe recent research on theoretical techniques to manage these complexities. Accounts of production planning system currently in use in various industries are included in the later chapters. Throughout the two volumes there are suggestions on promising directions for future work focused on closing the gaps.
Author:
Publisher:
Published: 1970
Total Pages: 1180
ISBN-13:
DOWNLOAD EBOOKAuthor: 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.
Author: Suresh P. Sethi
Publisher: Springer Science & Business Media
Published: 2006-03-30
Total Pages: 302
ISBN-13: 0387256636
DOWNLOAD EBOOKReal problems are formulated into tractable mathematical models, which allow for an analysis of various approaches. Attention is focused on solutions. Provides a unified treatment of the models discussed , presents a critique of the existing results, and points out potential research directions.
Author: Sridhar Tayur
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 851
ISBN-13: 1461549493
DOWNLOAD EBOOKQuantitative models and computer-based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growing area of supply chain management. This volume is a unified effort to provide a systematic summary of the large variety of new issues being considered, the new set of models being developed, the new techniques for analysis, and the computational methods that have become available recently. The volume's objective is to provide a self-contained, sophisticated research summary - a snapshot at this point of time - in the area of Quantitative Models for Supply Chain Management. While there are some multi-disciplinary aspects of supply chain management not covered here, the Editors and their contributors have captured many important developments in this rapidly expanding field. The 26 chapters can be divided into six categories. Basic Concepts and Technical Material (Chapters 1-6). The chapters in this category focus on introducing basic concepts, providing mathematical background and validating algorithmic tools to solve operational problems in supply chains. Supply Contracts (Chapters 7-10). In this category, the primary focus is on design and evaluation of supply contracts between independent agents in the supply chain. Value of Information (Chapters 11-13). The chapters in this category explicitly model the effect of information on decision-making and on supply chain performance. Managing Product Variety (Chapters 16-19). The chapters in this category analyze the effects of product variety and the different strategies to manage it. International Operations (Chapters 20-22). The three chapters in this category provide an overview of research in the emerging area of International Operations. Conceptual Issues and New Challenges (Chapters 23-27). These chapters outline a variety of frameworks that can be explored and used in future research efforts. This volume can serve as a graduate text, as a reference for researchers and as a guide for further development of this field.
Author: Christian Artmann
Publisher: Springer Science & Business Media
Published: 2009-04-21
Total Pages: 216
ISBN-13: 3540938338
DOWNLOAD EBOOKManaging uncertainty in new product development projects for improved valuation and decision making is one of the most complex and challenging problems in operations management. It is important for any corporation depending on the success of new products and innovations. This work shows how uncertainty can be handled and partly resolved by conducting an information update during the development process. It is one of the first comprehensive models that combine statistical decision theory in form of Bayesian analysis with a real options framework for projects exposed to different sources of uncertainty. The proposed framework makes an important theoretical contribution in addressing this problem, while at the same time being of significant value to managers who face the difficult task of evaluating and managing complex product development projects.