International Journal of Production Research · 2001 · 31 citations · 0 references
EngineeringIndustrial EngineeringManufacturing EngineeringInventory ControlProduction EngineeringProduction PlanningInventory OptimizationProduction ManagementProduction OptimizationProduction Planning SystemsProduction SchedulingConwip SystemsInteger Nonlinear ProgrammingManufacturingMathematical Programming ModelsProduction Lot SizingWip Inventory ControlWork-in-processWork-in-process Inventory Management
Push-based MRP and pull-based Kanban systems are effective planning tools for a wide range of manufacturing production. Both of them, however, have certain limitations when they are implemented in different production environments. In recent years, CONWIP (CONstant Work-In-Process) has been proposed and studied to take advantage of MRP and Kanban systems for optimal work-inprocess (WIP) inventory control. In this paper, an integer nonlinear mathematical programming model was developed to determine an optimal production sequence and lot sizes in a CONWIP production line. The nonlinear programming model was linearized and solved directly for a number of illustrative example problems.