A Two-Stage Stochastic Programming Model for Production Planning in a Kitting Facility Under Demand and Yield Uncertainties

摘要

The planning of the production activities of an assembly line feeding system plays an important role in a manufacturing process. It helps in efficient allocation of the resources to line feeding activities to satisfy the assembly line demand for parts. The objective of this paper is to design a two-stage stochastic programming model for lot-sizing and scheduling of the production activities at a kitting facility that supports an assembly line in a manufacturing plant. The demand of kits and the yield of the kitting workers are the uncertain factors considered for this study. The first-stage decisions determine the number of kitting workers required along with the baseline production plan, while the second-stage makes recourse decisions regarding the production, inventory and backorder quantities. The two uncertainties involved are modelled as probabilistic scenarios. The proposed model is applied to case study of a kitting facility supporting a manufacturing plant producing braking equipment for the automotive industry. The results from this case study highlight the significance of using stochastic modeling framework over the deterministic one, for production planning of the kitting operations.