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Applications of management science / edited by Kenneth D. Lawrence, Gary Kleinman.

Contributor(s): Material type: TextSeries: Applications of management science ; v. 18.Publisher: Bingley : Emerald Publishing Limited, 2017Copyright date: ©2017Description: 1 online resource (350) pagesContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781787142824 (e-book)
Subject(s): Additional physical formats: No titleDDC classification:
  • 658 23
Online resources:
Contents:
Prelims -- Multi-criteria optimization -- Applications of optimization -- Supply chain management -- Index.
Summary: Applications of Management Science is a blind refereed refereed series. Each annual volume presents current studies in the application of management science to the solution of significant managerial decision-making problems. Authors investigate solutions to managerial decision-making problems using management science methodologies. In this volume, the first section is focused on multi-criteria decision applications, the second section on supply chain management and finally authors look at productivity analysis. Thus this volume will be of significant interest to those involved in the applications of these methods, in a realistic managerial problem solving environment through the use of state of the art management science modeling.
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Includes index.

Prelims -- Multi-criteria optimization -- Applications of optimization -- Supply chain management -- Index.

Applications of Management Science is a blind refereed refereed series. Each annual volume presents current studies in the application of management science to the solution of significant managerial decision-making problems. Authors investigate solutions to managerial decision-making problems using management science methodologies. In this volume, the first section is focused on multi-criteria decision applications, the second section on supply chain management and finally authors look at productivity analysis. Thus this volume will be of significant interest to those involved in the applications of these methods, in a realistic managerial problem solving environment through the use of state of the art management science modeling.