Affiliation:
1. Business School, Northwest Normal University, Lanzhou 730070, China
Abstract
This paper aims to investigate the seru scheduling problem while considering the dual effects of worker cooperation and learning behavior to minimize the makespan and order processing time. Given the complexity of this research problem, an improved shuffled frog leaping algorithm based on a genetic algorithm is proposed. We design a double-layer encoding based on the problem, introduce a single point and uniform crossover operator, and select the crossover method in probability form to complete the evolution of the meme group. To avoid damaging grouping information, the individual encoding structure is transformed into unit form. Finally, numerical experiments were conducted using numerical examples of large and small sizes for verification. The experimental results demonstrate the feasibility of the proposed model and algorithm, as well as the necessity of considering worker dual behavior in the seru scheduling problem.
Funder
National Natural Science Regional Foundation of China
Subject
Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering
Reference42 articles.
1. A multifunctional worker allocation model and algorithm considering worker heterogeneity under seru production mode;Lian;Oper. Res. Manag.,2019
2. Research on fairness oriented joint decision making of multifunctional work batch job allocation in seru production system;Zeng;Ind. Eng. Manag.,2023
3. Effects of key enabling technologies for seru production on sustainable performance;Zhang;Omega,2017
4. An implementation framework for seru production;Liu;Int. Trans. Oper. Res.,2014
5. Competitive manufacturing in a high-cost environment: Introduction to the special issue;Treville;J. Oper. Manag.,2017