<span>This book provides several inventory models for making the right decision in inventory management under different environments. Basically, the optimal ordering policies are determined for situations with and without shortages in production-inventory systems. The chapters in the book include va
Decision Criteria and Optimal Inventory Processes
β Scribed by Baoding Liu, Augustine O. Esogbue (auth.)
- Publisher
- Springer US
- Year
- 1999
- Tongue
- English
- Leaves
- 219
- Series
- International Series in Operations Research & Management Science 20
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Decision Criteria and Optimal Inventory Processes provides a theoretical and practical introduction to decision criteria and inventory processes. Inventory theory is presented by focusing on the analysis and processes underlying decision criteria. Included are many state-of-the-art criterion models as background material. These models are extended to the authors' newly developed fuzzy criterion models which constitute a general framework for the study of stochastic inventory models with special focus on the real world inventory theoretic reservoir operations problems. The applications of fuzzy criterion dynamic programming models are illustrated by reservoir operations including the integrated network of reservoir operation and the open inventory network problems.
An interesting feature of this book is the special attention it pays to the analysis of some theoretical and applied aspects of fuzzy criteria and dynamic fuzzy criterion models, thus opening up a new way of injecting the much-needed type of non-cost, intuitive, and easy-to-use methods into multi-stage inventory processes. This is accomplished by constructing and optimizing the fuzzy criterion models developed for inventory processes.
Practitioners in operations research, management science, and engineering will find numerous new ideas and strategies for modeling real world multi- stage inventory problems, and researchers and applied mathematicians will find this work a stimulating and useful reference.
β¦ Table of Contents
Front Matter....Pages i-xiii
Introduction....Pages 1-34
Economic Criterion Models....Pages 35-60
Multidimensional Economic Criterion Models....Pages 61-73
Bayesian Solutions of Economic Criterion Models....Pages 75-84
Minimax Solutions of Economic Criterion Models....Pages 85-93
Probability Criterion Models....Pages 95-110
Multistage Game with Probability Criterion....Pages 111-124
Fuzzy Criterion Decision Processes....Pages 125-158
Multidimensional Fuzzy Criterion Dynamic Programming....Pages 159-180
Further Research and Extensions....Pages 181-188
Back Matter....Pages 189-210
β¦ Subjects
Operation Research/Decision Theory; Mathematical Logic and Foundations; Production/Logistics/Supply Chain Management; Probability Theory and Stochastic Processes
π SIMILAR VOLUMES
<p><p>This textbook approaches optimization from a multi-aspect, multi-criteria perspective. By using a Multiple Criteria Decision Making (MCDM) approach, it avoids the limits and oversimplifications that can come with optimization models with one criterion. The book is presented in a concise form,
<p>This book presents the first part of a planned two-volume series devoted to a systematic exposition of some recent developments in the theory of discrete-time Markov control processes (MCPs). Interest is mainly confined to MCPs with Borel state and control (or action) spaces, and possibly unbound
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