Coordinated Control Model and Optimization Algorithm for Closed-loop Supply Chains with Stochastic and Fuzzy Parameters
In this paper,we present theoretic frameworks and optimal models and algorithms for coordinated control operations of closed-loop supply chains with hybrid uncertainties. According to large-scale system theories,the basic coordinated control model of closed-loop supply chains is built. In addition,a quantitative model of hybrid uncertain closed-loop supply chains with the coexistence of randomness and fuzziness is presented. In order to solve the model effectively,we aim to develop a hybrid intelligent algorithm based on stochastic and fuzzy simulations and genetic algorithm. This paper focuses on providing new ideas for investigating closed-loop supply chain management systemically from angle of large-scale system theories. Furthermore,these ideas would enrich and extend the study field of uncertain programming more or less as expected. On the other hand,these models and methods might be valuable to practical operations. Actually,more effective heuristic algorithms and numerical examples are expected in further studies.
hybrid uncertainties closed-loop supply chains coordinated control genetic algorithm
Mi Deng Xiaodong Ding Bingyong Tang
Glorious Sun School of Business and Management,Donghua University,Shanghai 200051,China
国际会议
The First International Conference on Management Innovation(ICMI 2007)(管理创新会议)
上海
英文
90-94
2007-06-04（万方平台首次上网日期，不代表论文的发表时间）