A CLASS OF INTEGRATED LOGISTICS NETWORK MODEL UNDER RANDOM FUZZY ENVIRONMENT AND ITS APPLICATION TO CHINESE BEER COMPANY

作者：Zhou Xiaoyang; Xu Jiuping^*

来源：International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, 2009, 17(6): 807-831.

DOI：10.1142/S0218488509006285

• Integrated logistics
• random fuzzy variables
• expected value operator
• chance-constrained operator
• genetic algorithm

In this paper, we integrated the forward logistics and the reuse reverse logistics to set up a closed-loop integrated logistics system under a random fuzzy environment. A random fuzzy multi-objective programming model was established which can describe the integrated logistics as a cycle of production, distribution, consumption, collection, transportation, recycling, disposal, reuse and redistribution. We then used the expected value operator and the chance-constrained operator to handle the random fuzzy objective functions and the random fuzzy constraints. The solution scheme was pursued by a genetic algorithm based on random fuzzy simulation and compromise approach. And an application to a Chinese beer company was given as an illustration.

• 出版日期2009-12
• 单位四川大学