Method for Procurement-production Strategy Optimization in Discrete Manufacturing Environments
The main purpose of this paper is to develop a method for strategy optimization of the integrated procurement-production system. A mathematical model of this system is developed, which has an optimal control framework of time varying delay-difference systems. The optimal control problem (OCP) is converted into a nonlinear programming (NLP) problem, and then a global optimal solution to this problem is found by solving a sequence of unconstrained optimization problem (UOP) based on Genetic Algorithms (GAs) when the penalty parameter is introduced. We illustrate our results on a case-firm in the office supplies industry. The case study shows that the results can help managers better plan their firms strategy.
strategy optimization integrated procurement-production system optimal control nonlinear programming genetic algorithms
Huangjin Cao Yueting Chai Yi Liu
Department of Automation Tsinghua University, Beijing, 100084, China
国际会议
昆明、丽江
英文
740-744
2011-04-15（万方平台首次上网日期，不代表论文的发表时间）