Performance Measurement and Improvement | Hybrid Optimization based Approach for Supply Chains

Nedaa Agami

ISBN 10: 3659396877 / ISBN 13: 9783659396878

Published by LAP Lambert Academic Publishing, 2013

About this Item

Performance Measurement and Improvement | Hybrid Optimization based Approach for Supply Chains | Nedaa Agami | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659396878 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 113177967

Bibliographic Details

• Title: Performance Measurement and Improvement | Hybrid Optimization based Approach for Supply Chains
• Publisher: LAP Lambert Academic Publishing
• Publication Date: 2013
• Language: English
• ISBN 10: 3659396877
• ISBN 13: 9783659396878
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 7W x 150H x 220D millimeters 7 millimeters width by 150 millimeters height by 220 millimeters depth
• Weight: 182 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Performance measurement is a fundamental building block of successful organizations. A well designed performance measurement framework ensures both; sustainability of success and continuous improvement of performance. The objective of supply chain management is to create value for the whole supply chain network, including the end customers, not only for some entities within the chain. Many drawbacks prevent the conventional performance measurement systems from making a significant contribution to the development and improvement of the supply chain management. In an attempt to fill this gap, an enhanced process-based approach for measuring, managing and hence improving supply chain performance is developed. The proposed framework is dynamic, continuous and hybrid. It integrates various sciences, methodologies and tools namely; Systems Thinking, Strategic Planning, Optimization, Fuzzy Logic, Trend Impact Analysis, Balanced Scorecards, SCOR model and Theory of Constraints Thinking Processes into a cohesive performance measurement system. The proposed framework can be generalized and applied to other systems similar to supply chains in key characteristics and dimensions of complexity.

About the Author

Nedaa Agami is a lecturer in the Department of Operations Research (OR) at the Faculty of Computers and Information in Cairo University who also works as a Data Mining and Customer Intelligence consultant at Vodafone Egypt. Nedaa obtained the PhD degree in 2013 in OR and the M.Sc. in 2008 in the same field with the Data Mining Center of Excellence.