Supply Chain Configuration

1. Front Matter

   Pages i-xxiii

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2. Supply Chain Configuration Problem and Issues

   1. Front Matter

      Pages 1-1

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   2. Configuration

      • Charu Chandra, Jānis Grabis

      Pages 3-15

   3. Scope of Supply Chain Configuration Problem

      • Charu Chandra, Jānis Grabis

      Pages 17-40

   4. Literature Review

      • Charu Chandra, Jānis Grabis

      Pages 41-68

   5. Reconfigurable Supply Chains: An Integrated Framework

      • Charu Chandra, Jānis Grabis

      Pages 69-86

   6. Methodology for Supply Chain Configuration

      • Charu Chandra, Jānis Grabis

      Pages 87-107

3. Solutions

   1. Front Matter

      Pages 109-109

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   2. Knowledge Management as the Basis of Crosscutting Problem-Solving Approaches

      • Charu Chandra, Jānis Grabis

      Pages 111-136

   3. Conceptual Modeling Approaches

      • Charu Chandra, Jānis Grabis

      Pages 137-150

   4. Mathematical Programming Approaches

      • Charu Chandra, Jānis Grabis

      Pages 151-172

   5. Simulation Modeling and Hybrid Approaches

      • Charu Chandra, Jānis Grabis

      Pages 173-195

4. Technologies

   1. Front Matter

      Pages 197-197

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   2. Information Technology Support for Configuration Problem Solving

      • Charu Chandra, Jānis Grabis

      Pages 199-213

   3. Data Integration Technologies

      • Charu Chandra, Jānis Grabis

      Pages 215-228

   4. Mobile and Cloud Based Technologies

      • Charu Chandra, Jānis Grabis

      Pages 229-241

5. Applications

   1. Front Matter

      Pages 243-243

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   2. Application in Hi-Tech Electronics Industry

      • Charu Chandra, Jānis Grabis

      Pages 245-258

   3. Application in ICT Distribution

      • Charu Chandra, Jānis Grabis

      Pages 259-275

   4. Application in Health Care

      • Charu Chandra, Jānis Grabis

      Pages 277-288

This book discusses the models and tools available for solving configuration problems, emphasizes the value of model integration to obtain comprehensive and robust configuration decisions, proposes solutions for supply chain configuration in the presence of stochastic and dynamic factors, and illustrates application of the techniques discussed in applied studies. It is divided into four parts, which are devoted to defining the supply chain configuration problem and identifying key issues, describing solutions to various problems identified, proposing technologies for enabling supply chain confirmations, and discussing applied supply chain configuration problems.
Its distinguishing features are:

• an explicit focus on the configuration problem
  
• an in-depth coverage of configuration models
  
• an emphasis on model integration
  
• and application of information modeling techniques in decision-making
  

New to this edition is Part II: Technologies, which introduces readers to various technologies being utilized for supply chain configuration and contains two new chapters. The volume also has an added emphasis on the most recent theoretical developments and empirical findings in the area of supply chain management and related topics. This book is appropriate for professional and technical readers, including research directors, research associates, and institutions involved in both the design and implementation of logistics systems in manufacturing and service-related products. An equally appropriate audience is the academic reader, including professors, research associates, and students in industrial, manufacturing, mechanical, and automotive engineering departments, as well as engineering management, management sciences, and production and operations management.

• System and system design concepts
• Reconfigurable supply chains
• Configuration problems and methods
• Knowledge management
• Mathematical programming approaches
• Mixed-integer programming model
• Simulation and hybrid approaches
• Data integration technologies
• Configuration problem solving
• Mobile and cloud based technologies
• Business logistic configuration

• University of Michigan, Dearborn, USA

  Charu Chandra

• Institute of Information Technology, Riga Technical University, Riga, Latvia

  Janis Grabis

Charu Chandra is Professor in College of Business at the University of Michigan-Dearborn. Prior to this, he was Professor in Industrial and Manufacturing Systems Engineering at the same institution. He has worked in the industry as an information technology manager and systems analyst. He is involved in research in supply chain management, and enterprise integration issues in large complex systems. He has published extensively, has guest edited several journal issues, and serves on the editorial boards of several academic journals. 


Jānis Grabis works at Riga Technical University. His main research interests are supply chain management, enterprise applications, simulation, enterprise integration, and software project management. He is the author of more than a hundred scientific publications. He is a member of Decision Science Institute and IEEE. Currently, he is a professor at Riga Technical University and leads the Department of Management Information Technology.

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