Affiliation:
1. Department of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
2. Department of Industrial & Management Systems Engineering, Kyung Hee University, Yongin-si 17104, Republic of Korea
Abstract
Improving energy consumption (EC) and order tardiness (OT) for a warehouse picker-to-parts system is a challenging task since these two objectives are interrelated in a complex way with forklift activities. Thus, this research aims to minimize EC and OT with a multi-objective mixed-integer mathematical model by considering electric forklift operations. The proposed model addresses a lack of studies by controlling (i) order batching, (ii) batch assignment, (iii) batch sequencing, (iv) forklift routing, and (v) forklift battery charging schedule. The feasibility of the presented mathematical model is validated by solving small-sized examples. To solve medium- to large-sized case studies, we also propose and compare four multi-objective evolutionary algorithms (MOEAs). In illustrative examples, this study identifies the number of battery charging, orders, and forklifts as significant parameters affecting EC and OT. Our analysis also provides regression models connecting EC and OT from Pareto-optimal frontiers, and these results can help industrial practitioners and academic researchers find and investigate the relationship between EC and OT for making relevant decisions in warehouses served by electric forklifts. Among the four MOEAs developed, we show that the NSGA-II non-dominated sorting variable neighborhood search dynamic learning strategy (NSGA-VNS-DLS) outperforms other algorithms in accuracy, diversity, and CPU time.
Funder
Ministry of Trade, Industry & Energy (MOTIE) of the Republic of Korea
Korea Institute of Energy Technology Evaluation and Planning
Kyung Hee University
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference51 articles.
1. An Evaluation of Routing and Volume-Based Storage Policies in an Order Picking Operation;Petersen;Decis. Sci.,1999
2. Solving a Mathematical Model Integrating Unequal-Area Facilities Layout and Part Scheduling in a Cellular Manufacturing System by a Genetic Algorithm;Ebrahimi;SpringerPlus,2016
3. Minimizing Total Energy Cost and Tardiness Penalty for a Scheduling-Layout Problem in a Flexible Job Shop System: A Comparison of Four Metaheuristic Algorithms;Ebrahimi;Comput. Ind. Eng.,2020
4. Dyckhoff, H., Lackes, R., and Reese, J. (2004). Supply Chain Management and Reverse Logistics, Springer.
5. Kutkut, N. (2005). Is Fast Charging for You?. Mater. Handl. Manag., 62, Available online: https://www.mhlnews.com/powered-vehicles-and-forklifts/article/22040185/is-fast-charging-for-you.
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献