Handbook of Stochastic Models and Analysis of Manufacturing System Operations

  • J. MacGregor Smith
  • Barış Tan
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 192)

About this book

Introduction

This 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.

Keywords

Manufacturing Operations Manufacturing Systems Operations Research Production Engineering Production Scheduling Stochastic Modeling

Editors and affiliations

  • J. MacGregor Smith
    • 1
  • Barış Tan
    • 2
  1. 1., MIE DepartmentUniversity of Massachusetts AmherstAmherstUSA
  2. 2.College of Admin. Sciences & Econ.Koç UniversitySarıyerTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-6777-9
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Business and Economics
  • Print ISBN 978-1-4614-6776-2
  • Online ISBN 978-1-4614-6777-9
  • Series Print ISSN 0884-8289
  • About this book