An Multi-objective Optimized Production Scheduling for Automobile Prototype Workshops Considering Employee Work Ability

Abstract

The reasonable scheduling scheme of employee-task in the automobile prototype workshop was the key to ensure the smooth progress of production. In view of the characteristics and existing problems of automobile prototype workshops, an evaluation system of employee work ability was designed based on decision-making trial and evaluation laboratory-analytic network process(DEMATEL-ANP) method. On account of the quantitative assessment of employee work ability, a workshop scheduling optimization model was established considering employee work ability, aiming at the makespan, the balance degree of skill utilization and labor cost. A non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ) based on technique for order preference by similarity to ideal solution(TOPSIS) was adopted to solve the model and get the relative optimal solution. Finally, the feasibility and effectiveness of the proposed model and method were verified through practical production cases.