Context (archaeology)

Labour economics

Engineering

Biology

Statistics

Microeconomics

Balance (ability)

Systems engineering

Operating system

Economics

Computer science

Mathematical optimization

Business

Paleontology

Operations research

Task (project management)

Mathematics

Industrial engineering

Operations management

Workload

Artificial intelligence

Heuristic

Medicine

Physical medicine and rehabilitation

Flexibility (engineering)

Production (economics)

Computers & Industrial Engineering

The flexibility of production systems is becoming more and more important for manufacturers facing various changes. As an effective way to increase the flexibility in a short time with a small investment, multi-skilled workers have received more attention in recent years. In this paper, a multi-skilled worker assignment problem is solved in the context of seru production systems, in which differences in workers’ skill sets and proficiency levels are taken into consideration. Worker grouping, cell loading, and task assignment are solved concurrently in the problem. A mathematical model with objectives of improving the inter-seru and inter-worker workload balance is proposed to solve the problem. In order to verify the proposed model, a numerical example is presented and solved by a sum weighted method. Due to the NP-hard nature of the model, a meta-heuristic algorithm based on NSGA-II is developed. The algorithm is tested by several numerical examples and the impact of differences in workers’ competency on workload balance is analyzed based on the computational results.

A multi-skilled worker assignment problem in seru production systems considering the worker heterogeneity