Ship pipe production optimization method for solving distributed heterogeneous energy-efficient flexible flowshop scheduling with mobile resource limitation

作     者：Xuan, Hua Zhang, Xiao-Fan Wu, Yi-Xuan Zheng, Qian-Qian Li, Bing 

作者机构：Zhengzhou Univ Sch Management Zhengzhou 450001 Peoples R China 

出 版 物：《EXPERT SYSTEMS WITH APPLICATIONS》 (Expert Sys Appl)

年 卷 期：2025年第270卷

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Science and Technology Research and Development Plan Joint Fund Project of Henan Province Philosophy and Social Science Planning Project of Henan Province [2023BJJ085] National Social Science Foundation of China [24BJY113] National Natural Science Foundation of China 

主　　题：Ship pipe workshop Distributed heterogeneous flexible flowshop scheduling Energy consumption Limited mobile resource Shuffled frog leaping differential evolution algorithm 

摘      要：The ship pipe workshop stands out as the complicated production system, which operates with characteristics like multi-factory configuration, multi-mobile resource and multi-processing mode. Stemming from the bottleneck issue of ship pipe production and the urgent demand for green intelligent production, this paper investigates a distributed heterogeneous energy-efficient flexible flowshop scheduling, where the limited mobile resource, permutation flowshop and flexible flowshop are explicitly and simultaneously taken into account. With the integration of multiple goals and complex constraints, an integer programming model is well-established, aiming to minimize the makespan and total energy consumption simultaneously. To address this problem, an effective shuffled frog leaping differential evolution algorithm, named SFL-DEA, is proposed. Within the SFL-DEA, an innovative good-point set initialization is well-designed to improve the initial solution group. To further promote the searchability of SFL-DEA, we introduce several effective operations, including hybrid self-adaptive double differential strategy, bidirectional crossover strategy and modified shuffled frog leaping algorithm. Extensive experiments and comparisons corroborate the effectiveness and versatility of the presented SFL-DEA in addressing the studied problem. The findings are very valuable to curtail the delay cost and promote the environmental pollution issue for manufacturing industries especially in the ship pipe workshop.