Call for Chapters: Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics


Professor Atour Taghipour

Call for Chapters

Proposals Submission Deadline: November 18, 2019
Full Chapters Due: January 1, 2020
Submission Date: April 10, 2020


A supply chain is two or more agents who work with each other, in order to create and deliver value to final customers. A decentralized supply chain is characterized by independent agents with asymmetric information. In fact, in this form of supply chain, most of supply chain agents may not share information due to confidentiality policies, quality of information or different system's incompatibilities. Every actor holds its own set of information and try to maximize his 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 called myopic because they do not consider the performance of all the partners to satisfy this consumer.
In this book, we invest on supply chain demand anticipation, forecasting and order planning. We focus as well on the humanitarian logistics to propose the original solutions for existing problems.


This book will aim to present the Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics. It will be written for academics and professionals who want to improve their understanding of supply chain coordination to be competitive in new era of the globalization.

Target Audience

The target audience of this book will be composed of professionals and researchers working in the field of supply chain management, operations management, logistics, operations research. Moreover, the book will provide insights and support executives concerned with the management of expertise, knowledge, information and organizational development in different types of work communities and environments.

Recommended Topics

• Supply chain management
• Operations management
• Information technologies
• Information sharing
• Information systems
• Operations reseach
• Logistics
• Heuristic approaches
• Aggregation planning
• Forecasting
• Anticipation
• Huamitarian logistics

Submission Procedure

Researchers and practitioners are invited to submit on or before November 18, 2019, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by December 02, 2019 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by January 01, 2020, and all interested authors must consult the guidelines for manuscript submissions at prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.
Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Demand Forecasting and Order Planning in Supply Chains and Humanitarian Logistics. All manuscripts are accepted based on a double-blind peer review editorial process.
All proposals should be submitted through the eEditorial Discovery®TM online submission manager.


This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit This publication is anticipated to be released in 2021.

Important Dates

November 18, 2019: Proposal Submission Deadline
December 02, 2019: Notification of Acceptance
January 01, 2020: Full Chapter Submission
February 14, 2020: First Review Results Returned
Mars 27, 2020: Final Acceptance Notification
April 10, 2020: Final Chapter Submission


Atour Taghipour
Normandy University


Business and Management; Computer Science and Information Technology
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