基于动态定价的原材料型废旧品多目标回收网络设计

【作者】 李辉；

【导师】 高阳；

【作者基本信息】 中南大学 ， 管理科学与工程， 2011， 硕士

【摘要】 随着经济的快速发展,资源的不断枯竭,以及环境的破坏日趋严重,逆向物流受到了越来越多的关注。发展逆向物流,构建合理高效的回收网络,加强对废旧品的回收再利用,对实现经济与社会的可持续发展,具有非常重要的意义。现实生活中,原材料型废旧品多由第三方回收商回收。废旧品回收数量是影响回收网络设计的重要因素,而回收商的回收价格不仅直接影响废旧品的回收数量,还会影响回收商的利润,因此构建回收网络时必须考虑回收商的定价策略。当前有关回收网络设计的研究大都假设回收价格(单位回收成本)固定不变,因此论文考虑了第三方回收商和制造/再制造商的不同博弈情形,构建了基于动态定价的原材料型废旧品回收网络模型。论文主要的研究工作及成果如下。(1)基于多个运营周期,假设回收中心存在处理能力限制和允许库存,以经济利润最大化为唯一目标,研究了制造/再制造商和第三方回收商集中决策和分散决策两种情形下的最优定价策略。算例表明集中决策情形下的回收数量、回收系统总利润都大于分散决策情形。(2)在逆向物流多周期回收定价的基础上,研究了基于动态回收定价的多周期多目标原材料型废旧品回收网络设计。考虑制造/再制造商利润、第三方回收商利润和消费者经济利益,针对回收网络设计和回收定价过程中制造/再制造商和第三方回收商博弈的不同情形,建立了五种不同决策情形下的回收网络模型,并通过算例对比分析了各种决策情形下的回收网络和回收数量以及各参与者的利润情况。(3)在构建的确定环境下回收网络模型的基础上,研究了模糊环境下原材料型废旧品的回收网络设计。假设废旧品供应量为三角模糊数,分析了模糊环境下第三方回收商和制造/冉制造商合作的可行性和必要性。在合作进行回收网络设计和回收定价的前提下,针对集中回收定价和分散定价两种情形,分别建立了模糊环境下的多周期多目标回收网络模型,并通过算例表明了所建模型的有效性。更多还原

【Abstract】 With the rapid economic development, constant depletion of resources, more and more serious damage to the environment, reverse logistics has been paid more and more attention. Making great effort to develop reverse logistics, and building a efficient recovery network to enhance the recycling of waste products, for achieving sustainable economic and social development, has very important significance.In real life, the waste products which provides raw materials, is mainly recycled by a third party. The number of recycling waste products is an important factor in product recovery network design, and the price strategy of recycling business is not only directly affect the number of recovery product, will also affect the recovery of business profits, so the price strategy of recovery business must be considered when building a product recovery network. However, currently stdudies of product recovery network design mainly assumed that the unit take-back cost is fixed. In view of this situation, this paper consider different game relations between the third party take-back business and manufacturing/r-emanufacturing business, build models for product recovery network design based on dynamic pricing for waste product recycling. Main work and results are as follows.(1) Based on more than one operating cycle, assuming there are processing capacity constraints in recycling center and inventories are allowed, two models were built for remanufacturing/remanufacturing business and the third party take-back business to choose their price strategies. In the process of modeling, two situations of centralized and decentralized decision-making were taken into account. Both the remanu-facturing/remanufacturing business and the third party take-back business consider their economic profit as the only objective. The example shows that the number of recovery product and the total profit of recovery system in the centralized decision-making situation are greater than in the decentralized decision-making situation.(2) On the basis of multi-period dynamic pricing of product recovery in the reverse logistics, multi-period and multi-objective product recovery network design was studied. Considering the profit of manufacturing/re-manufacturing business, the profit of the third party tack-back business and the economic interests of consumers, according to the different game situations between manufacturing/remanufacturing business and the third party tack-back business in the process of product recovery network design and dynamic pricing of product recovery, five models for product recovery network design in different decision-making situations were established. A example was conducted to compare the optimal product recovery network and the number of recovery product were compared among different models, the profits of each participant were also comparative analyzed.(3) On the basis of the models for product recovery network design in the determined environment, product recovery network design in the fuzzy environment was studied. We suppose that the supply of waste materials is the triangular fuzzy numbers, and analysis the feasibility and necessity of cooperation between the third party take-back business and manufacturing/remanufacturing business. In cooperation on the product recovery network design and pricing of product recovery, and considering two situations of centralized and decentralized decision-making when pricing of product recovery, two multi-period and multi-objective product recovery netwok models were built in the fuzzy environment. A numerical example is conducted to illustrate the efficiency of the model, fuzzy environment analysis and manufacturing third-party recyclers/re-manufacturers of the feasibility and necessity. In cooperation recovery network design and pricing under the premise of recycling, recovery pricing for centralized and decentralized pricing of two cases, were established under the fuzzy environment of multi-objective multi-cycle recovery network model.更多还原