Multi-period and multi-workday workforce scheduling for manufacturing workstations with multiple workers

This paper discusses the complex workforce scheduling problem where a workday is divided into multiple periods and the planning horizon is extended to cover several workdays, or MPMW-WSP. Additionally, there can be multiple workers at individual manufacturing workstations. The MPMW-WSP focuses on the safe exposure of workers to a given ergonomic hazard that is dominantly present in the workplace. Dominant ergonomic hazard can be either a single-limit hazard or variable-limit hazard. A hybrid solution procedure is employed to solve the problem. It consists of a heuristic method to estimate an initial workforce size and an integer linear programming (ILP) model to determine a minimum number of workers to be rotated among different tasks so that their daily hazard exposures are within the permissible or recommended limit. Numerical examples and computation experiment are also presented.

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Publication Details

Journal
International Journal of Industrial and Systems Engineering
Published
2025-01-01
DOI
https://doi.org/10.1504/ijise.2025.145059
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
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article

Multi-period and multi-workday workforce scheduling for manufacturing workstations with multiple workers

Tarit Rattanamanee, Suebsak Nanthavanij
International Journal of Industrial and Systems Engineering
Scheduling and Optimization Algorithms
article

Multi-period and multi-workday workforce scheduling for manufacturing workstations with multiple workers

Tarit Rattanamanee, Suebsak Nanthavanij
article en

Abstract

This paper discusses the complex workforce scheduling problem where a workday is divided into multiple periods and the planning horizon is extended to cover several workdays, or MPMW-WSP. Additionally, there can be multiple workers at individual manufacturing workstations. The MPMW-WSP focuses on the safe exposure of workers to a given ergonomic hazard that is dominantly present in the workplace. Dominant ergonomic hazard can be either a single-limit hazard or variable-limit hazard. A hybrid solution procedure is employed to solve the problem. It consists of a heuristic method to estimate an initial workforce size and an integer linear programming (ILP) model to determine a minimum number of workers to be rotated among different tasks so that their daily hazard exposures are within the permissible or recommended limit. Numerical examples and computation experiment are also presented.

International Journal of Industrial and Systems EngineeringVol. 49(3)
King Mongkut's University of Technology North Bangkok (TH), PRA Health Sciences (US)
Decent work and economic growth
Openalex Percentile: Top 94%
Scheduling and Optimization Algorithms
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