需求不确定下的旅游供应链网络优化

The Optimization of Tourism Supply Chain Netw ork under Uncertainty of Demand

文章建立了一个需求不确定下的旅游供应链网络优化模型。模型以旅行社总成本最小为优化目标,采用随机机会约束规划方法,将不确定模型转化为确定性的数学规划模型,并借助matlab7.6平台和sheffield大学的遗传算法工具箱,求得了旅游供应链网络的最优总成本和最优旅游供应链网络,同时验证了算法的有效性;还探讨了不同可靠度水平对最优总成本和最优旅游供应链网络的影响,研究了总成本对车旅费、景区门票、住宿费、餐饮费、业务维持费变化的灵敏度。研究表明,不同可靠度水平只影响最优总成本,不影响最优的旅游供应链网络,总成本对各种费用变化的灵敏度,从大到小依次是车旅费、景区门票、住宿费、餐饮费、业务维持费。

In the article an optimization model of tourism supply chain network was established under uncertainty of demand. The goal of this model was to minimize the total cost. We convened the model of uncertainty to the model of certainty by using random chance - constrained programming. The optimal total cost and best tourism supply chain network were obtained with matlab7. 6 platform and genetic algorithm toolbox of Sheffield University. Meanwhile, the effectiveness of the algorithm was verified. The article also discussed the effects of different levels of reliability to optimal total cost and best tourism supply chain network. The sensitivity of the total cost to. fare, entrance fees of scenic spots, accommodation, catering fees, maintenance fee was analyzed. Studies have shown that different reliability levels only affected the optimal total costs and don＇t affect the tourism supply chain network. The sensitivity of the total cost to a variety of fees could be arranged in descending order, which was, fare, entrance fees of scenic spots, accommodation, catering fees, maintenance fees.