Multi-Objective Workforce and Process Planning For Socio-Economic Sustainable RMS: Lp-metric vs Epsilon Constraint

Abstract

As a new manufacturing paradigm, reconfigurable manufacturing system (RMS) has shown promising results when dealing with market changes. This study explores the issue of integrating workforce planning and process planning within RMS. The idea is to consider socio-economic sustainable manufacturing by investigating new KPIs from the social aspect. The choice of workforce flexible work hours and the accident risk are concurrently viewed as social aspects. This challenge has been approached by using a new mixed integer linear model. Furthermore, the model considers other objectives, including operational cost and total completion time. The ϵconstraint and Lp-metric are used to solve the multi-objective model for five small and medium-sized instances. The findings demonstrate a 60% variation in reconfiguration time, and processing time contributes to 5% and 7.8% changes in makespan and 25% and 56% in total cost. Finally, some in-depth analysis is performed to illustrate and verify the performance of the suggested solution approach.