Abstract:
With the increasing global economy, an efficient management on manufacturing resources is considered as a key of organization's success. In labor intensive manufacturing, human resource highly impacts the entire production performance since such system is driven by workers. This research presented semiskilled worker selection and grouping in the context of labor-intensive industry with perspectives of academic and manufacturing practice. The important criteria and practical method of worker selection processes, preliminary approach in grouping phase, similarities and differences among five manufacturing case studies of food, textiles/wearing apparel, plastic, and steel products including recruitment outsourcing provider, were discussed. Analytic Hierarchy Process (AHP) was applied as a main research tool of multiple criteria decision making methods to provide weights and priorities of the selection criteria conducted from previous studies and case studies. Five aspects of human-related factors were highlighted: competency, experience, personal characteristics, skill, and operational output. In AHP, ten decision-makers (DMs) from case studies were investigated to provide judgement matrix for the model. As the result, semi-skilled worker selection and grouping approaches in labor-intensive industry were obtained with significant benefits to improve the overall production performance.