Production planning and worker training in dynamic manufacturing systems

Production planning is a vital activity in any manufacturing system, and naturally implies assigning the available resources to the required operations. This paper develops and analyzes a comprehensive mathematical model for dynamic manufacturing systems. The proposed model integrates production planning and worker training considering machine and worker time availability, operation sequence and multi-period planning horizon. The objective is to minimize machine maintenance and overhead, system reconfiguration, backorder and inventory holding, training and salary of worker costs. Computational results are presented to verify the proposed model.

► Integrating the majority of important principles in dynamic manufacturing systems. ► Considering of worker assignment and worker training simultaneously. ► Clustering of the worker types based on their similarity. ► Training of the worker types in each cluster and each time period.