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This book is written for practitioners and researchers who are currently working in the field of supply chain management and operations management. The goal of the book is to provide a thorough explanation of the supply chain configuration problem and provide solutions that combine the mathematical aspects of problem solving and the usage of modern information technology in the design, modeling, and implementation of solutions. TOC:Configuration.- Scope of supply chain configuration problem.- Review: State of the art.- Reconfigurable supply chains: An integrated framework.- Methodology for…mehr

Produktbeschreibung
This book is written for practitioners and researchers who are currently working in the field of supply chain management and operations management. The goal of the book is to provide a thorough explanation of the supply chain configuration problem and provide solutions that combine the mathematical aspects of problem solving and the usage of modern information technology in the design, modeling, and implementation of solutions. TOC:Configuration.- Scope of supply chain configuration problem.- Review: State of the art.- Reconfigurable supply chains: An integrated framework.- Methodology for supply chain configuration.- Knowledge management as basis of crosscutting problem solving approaches.- Information modeling approaches.- Mathematical programming approaches.- Simulation modeling approaches.- Hybrid approaches.- IT support for configuration problem solving.- Review of applied studies.- Applications in automotive industry.- Applications in retail industry.- Future research directions in supply chain configuration problem - Index.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Erscheinungstermin: 04.06.2007
  • Englisch
  • ISBN-13: 9780387681559
  • Artikelnr.: 37288250
Autorenporträt
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.
Janis 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.
Inhaltsangabe
Supply Chain Configuration Problem and Issues.- Configuration.- Scope of Supply Chain Configuration Problem.- Literature Review.- Reconfigurable Supply Chains: An Integrated Framework.- Methodology for Supply Chain Configuration.- Solutions.- Knowledge Management as the Basis of Crosscutting Problem-Solving Approaches.- Information Modeling Approaches.- Mathematical Programming Approaches.- Simulation Modeling Approaches.- Hybrid Approaches.- Information Technology Support for Configuration Problem Solving.- Applications.- Review of Applied Studies.- Applications in Automotive Industry.- Application in Retail: Locating a Distribution Center.- Future Research Directions in Supply Chain Configuration Problem.
Rezensionen
From the reviews:

"The book is well structured and provides a comprehensive overview of issues that are relevant to supply chain configuration decision modeling. ... The book serves as material for academics and practitioners working in the field, and graduate students in management science and industrial engineering who are seeking to enhance their knowledge of specific supply chain management issues." (Sameer Kumar, Interfaces, Vol. 38 (1), 2008)