Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm

作     者：Sadeghi, Javad Mousavi, Seyed Mohsen Niaki, Seyed Taghi Akhavan Sadeghi, Saeid 

作者机构：Islamic Azad Univ Young Researchers & Elite Club Qazvin Iran Sharif Univ Technol Dept Ind Engn Tehran Iran Islamic Azad Univ Young Researchers & Elite Club South Tehran Branch Tehran Iran 

出 版 物：《TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW》 (运输研究E部分：后勤学与运输评论)

年 卷 期：2014年第70卷第1期

页      面：274-292页

核心收录：

学科分类：0201[经济学-理论经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0814[工学-土木工程] 0823[工学-交通运输工程] 

主　　题：Vendor managed inventory (VMI) Transportation cost Redundancy allocation problem (RAP) Hybrid bat algorithm Parameter tuning 

摘      要：This paper presents a bi-objective VMI problem in a single manufacturer-single vendor multi-retailer (SM-SV-MR) supply chain, which a redundancy allocation problem is incorporated. In the hybridized problem, a manufacturer produces a single item using several machines that work in series, and stores it in a warehouse to replenish one vendor who delivers it to several retailers using the shortest possible route. A novel meta-heuristic, called hybrid bat algorithm (HBA), with calibrated parameters is utilized to find a near-optimum solution. To show the efficiency of HBA, the results are compared to the ones using the traditional BA and a genetic algorithm. (C) 2014 Elsevier Ltd. All rights reserved.