A Novel MILP Model for the Production, Lot Sizing, and Scheduling of Automotive Plastic Components on Parallel Flexible Injection Machines with Setup Common Operators

In this article, a mixed integer linear program (MILP) model is proposed for the production, lot sizing, and scheduling of automotive plastic components to minimize setup, inventory, stockout, backorder costs, by taking into account injection molds as main index schedule on parallel flexible machines. The MILP considers minimum maximum inventory capacities penalizes stockout. A relevant characteristic modeled problem dependence between mold setups produce components. sizing solution results in assignment machines during specific time period calculation number be produced, which often called size, following sequence-dependent setup time. Depending machine units produced will distinct because differ from one another. stock coverage, defined demand days, also included avoid backorders, highly penalized supply chain. Added this, extended considering common operators respond fulfill constraints that appear enterprises. regard, presented solves lot-sizing problem, emerged second-tier supplier real Finally, article validates performing experiments with different sized instances, including small, medium, large. large-sized dataset characterized replicating amount data used enterprise, object study. goodness evaluated computational deviation obtained regards optimal solution.