Resource-constrained production planning in semicontinuous food industries

The resource-constrained production planning problem in semicontinuous multiproduct food industries is addressed. In particular, the case of yogurt production, a representative food process, in a real-life dairy facility is studied in detail. The problem in question is mainly focused on the packing stage, whereas timing and capacity constraints are imposed with respect to the batch stage to ensure the generation of feasible production plans. A novel mixed discrete/continuous-time mixed-integer linear programming model, based on the definition of families of products, is proposed. Timing and sequencing decisions are taken for product families rather than for products; thus, reducing significantly the model size. Additionally, material balances are realized for every particular product, permitting the detailed optimization of inventory and operating costs. Packing units operate in parallel and share resources. Qualitative as well as quantitative objectives are considered. Several industrial case studies, including also some unexpected events scenarios, have been solved to optimality.

► We developed a new mixed discrete/continuous-time mixed-integer linear programming model for the resource-constrained production planning problem.
► The proposed model is based on the definition of families of products, reducing significantly the model size.
► Material balances are realized for every particular product, permitting the detailed optimization of inventory and operating costs.
► Qualitative and quantitative objectives are considered.
► Several problem instances of a real-life dairy industry, producing yogurt, have been solved.