Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics

Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics

Indexed In: SCOPUS
Release Date: September, 2020|Copyright: © 2021 |Pages: 313
DOI: 10.4018/978-1-7998-3805-0
ISBN13: 9781799838050|ISBN10: 1799838056|ISBN13 Softcover: 9781799853329|EISBN13: 9781799838067
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Description & Coverage
Description:

In a decentralized supply chain, most of the supply chain agents may not share information due to confidentiality policies, quality of information, or different system incompatibilities. Every actor holds its own set of information and attempts to maximize its objective (minimizing costs/minimizing inventory holdings) based on the available settings. Therefore, the agents control their own activities with the objective of improving their own competitiveness, which leads them to make decisions that maximize their local performance by ignoring the other agents or even the final consumer. These decisions are myopic because they do not consider the performance of all the partners to satisfy the consumer.

Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics is a collection of innovative research that focuses on demand anticipation, forecasting, and order planning as well as humanitarian logistics to propose original solutions for existing problems. While highlighting topics including artificial intelligence, information sharing, and operations management, this book is ideally designed for supply chain managers, logistics personnel, business executives, management experts, operation industry professionals, academicians, researchers, and students who want to improve their understanding of supply chain coordination in order to be competitive in the new era of globalization.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Aggregation Planning
  • Artificial Intelligence
  • Decision Support Systems
  • Information Sharing
  • Logistics
  • Machine Learning
  • Neural Networking
  • Operations Management
  • Sales Forecasting
  • Supply Chain Management
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Editor/Author Biographies

Atour Taghipour is a professor and the head of two international management master programs at Normandy University (Le Havre) in France. He holds a PhD in Industrial Engineering from the Polytechnic School of Montreal in Canada. He received two masters’ degrees, one in Management, Logistics & Strategy and other in Industrial Engineering. He has more than ten years of experiences as a manager in automobile industries. He has published four books and many research papers in international journals. His areas of research are supply chain and operations management.

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