The Inverse Optimal Allocation Model of Manufacturing Resource for Small and Medium-Sized Manufacturing Enterprises in Grid Environment

Abstract

Almost each product is produced by more than one enterprise, so resource sharing and cooperation become more and more important. Small and medium-size manufacturing enterprises sometimes have not enough resources to complete the orders and they have to look for cooperators to meet the market demands. Inverse optimization model of linear programming is suitable for solving resource optimal allocation for small and medium-sized manufacturing enterprises in dynamic grid. This paper establishes an inverse optimization model of a linear programming for grid resources management. To meet market demand, conditional on optimal production and product portfolios, this model adjusts the parameters in resources optimal allocation, and reverses the process of optimization. This inverse optimal model helps the enterprise node to adjust its structure and the number of resources allocation to better meet market demand and maximize the interests according to its budget.