Application of fuzzy multi-objective linear programming to aggregate production planning
Computers and Industrial Engineering
Optimal Control and Equilibrium Behavior of Production-Inventory Systems
Management Science
Agent-Based Approach to Mass-Oriented Production Planning: Case Study
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Multiproduct aggregate production planning with fuzzy demands and fuzzy capacities
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Optimal control of price and production in an assemble-to-order system
Operations Research Letters
Optimal control of a production-inventory system with customer impatience
Operations Research Letters
| Hi-index | 0.01 |
This paper studies a problem on multi-product capacitated production planning with outsourcing. The context of the problem is about an enterprise that manufactures multiple products in multiple periods for stochastic demands. Manufacturers usually have two alternative modes for the production: one is to outsource parts from outside suppliers and then assemble them; the other is to in-house manufacture parts and then assemble them. Each mode has its relative merits. In addition, the capacity constraint by in-house manufacturing is also taken into account. This paper investigates how to balance the trade-off between the two modes. An analytical approach is proposed to study the optimal decision on the above two modes for all products during each planning period. Some findings are drawn out from this analytical study. Numerical experiments show the significant cost reduction can be obtained using the proposed decision model.