Multi-skilled worker assignment in seru production system for the trade-off between production efficiency and workload fairness

PurposeThe paper formulates a bi-objective mixed-integer nonlinear programming model, aimed at minimizing the total labor hours and the workload unfairness for the multi-skilled worker assignment problem in Seru production system (SPS).Design/methodology/approachThree approaches, namely epsilon-cons...

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Vydané v:Kybernetes Ročník 52; číslo 9; s. 3495 - 3518
Hlavní autori: Zeng, Shaoyu, Wu, Yinghui, Yu, Yang
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Emerald Publishing Limited 25.09.2023
Emerald Group Publishing Limited
Predmet:
Assignment problem
Cross-training
Efficiency
Evolutionary algorithms
Flexibility
Genetic algorithms
Integer programming
Mixed integer
Nonlinear programming
Operations research
Optimization
Scheduling
Skilled workers
Sorting algorithms
Workload
Workloads
Production efficiency
Multi-skilled worker assignment
Bi-objective optimization
Workload fairness
ISSN:0368-492X, 1758-7883
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Shrnutí:PurposeThe paper formulates a bi-objective mixed-integer nonlinear programming model, aimed at minimizing the total labor hours and the workload unfairness for the multi-skilled worker assignment problem in Seru production system (SPS).Design/methodology/approachThree approaches, namely epsilon-constraint method, non-dominated sorting genetic algorithm 2 (NSGA-II) and improved strength Pareto evolutionary algorithm (SPEA2), are designed for solving the problem.FindingsNumerous experiments are performed to assess the applicability of the proposed model and evaluate the performance of algorithms. The merged Pareto-fronts obtained from both NSGA-II and SPEA2 were proposed as final solutions to provide useful information for decision-makers.Practical implicationsSPS has the flexibility to respond to the changing demand for small amount production of multiple varieties products. Assigning cross-trained workers to obtain flexibility has emerged as a major concern for the implementation of SPS. Most enterprises focus solely on measures of production efficiency, such as minimizing the total throughput time. Solutions based on optimizing efficiency measures alone can be unacceptable by workers who have high proficiency levels when they are achieved at the expense of the workers taking more workload. Therefore, study the tradeoff between production efficiency and fairness in the multi-skilled worker assignment problem is very important for SPS.Originality/valueThe study investigates a new mixed-integer programming model to optimize worker-to-seru assignment, batch-to-seru assignment and task-to-worker assignment in SPS. In order to solve the proposed problem, three problem-specific solution approaches are proposed.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0368-492X
1758-7883
DOI:10.1108/K-01-2022-0054