Generalized Inverse Optimal Models of Linear Programming for Enterprise Optimal Production Plan
面向企业最优生产计划的线性规划广义逆优化模型

This paper will approach some mathematics models of generalized inverse problem according to complementary optimum condition that how to make some infeasible solutions become optimal solutions by adjusting its coefficients like products cost coefficient,resources consumption coefficient and the quantity of owning resources in linear programming for enterprise optimal production plan.This problem has important using value:It can solve the problem that when using normal solving method or heuristic algorithm to formulate enterprise optimal production plan,enterprise couldn't response market require in time because of lacking productive ability caused by rigid treatment to resources restrain and coordinate the whole optimization of enterprise and specific business process reengineering.