A Multi-Objective Evolutionary Approach for an Integrated Location-Inventory Distribution Network System - Softcover

Hsieh, Chia-Lin

Softcover

ISBN 10: 3639828631 ISBN 13: 9783639828634

Publisher: 金琅学术出版社, 2016

Synopsis

In this book, we examined an integrated location-inventory and vendor selection problem under a vendor managed inventory (VMI) setup. The goal is the determination of i)the set of vendors the firm should work with; ii)the number and locations of distribution centers (DCs) or warehouses and also the assignment of retailers to DCs and iii)how much each retailer should order from the selected vendors. With these considerations, we present a Multi-Objective Location-Inventory Problem (MOLIP) which results in a Mixed-Integer Non-Linear Programming formulation. The MOLIP model is difficult to solve with existing optimization algorithms due to the considerable number of decision variables and constraints. Therefore, we rely on a hybrid multi-objective evolutionary algorithm to provide an efficient facility location portfolio, and permits a comprehensive trade-off evaluation between the “quality” of the set of elite solutions and the time and memory required to produce them. Computational results demonstrating the performance of the proposed heuristic methods and the potential practical impact of integrated decision making for location-inventory and vendor selection decisions are reported.

Edition details

• Publisher: 金琅学术出版社
• Publication date: 2016
• Language: English
• ISBN 10: 3639828631
• ISBN 13: 9783639828634
• Binding: Paperback
• Number of pages: 188