Remanufacturing closed-loop supply chain network design based on genetic particle swarm optimization algorithm

As the huge computation and easily trapped local optimum in remanufacturing closed-loop supply chain network (RCSCN) design considered, a genetic particle swarm optimization algorithm was proposed. The total cost of closed-loop supply chain was selected as fitness function, and a unique and tidy coding mode was adopted in the proposed algorithm. Then, some mutation and crossover operators were introduced to achieve discrete optimization of RCSCN structure. The simulation results show that the proposed algorithm can gain global optimal solution with good convergent performance and rapidity. The computing speed is only 22.16 s, which is shorter than those of the other optimization algorithms.

Development and Comparison of Hybrid Genetic Algorithms for Network Design Problem in Closed Loop Supply Chain

This paper presents four different hybrid genetic algorithms for network design problem in closed loop supply chain. They are compared using a complete factorial experiment with two factors, viz. problem size and algorithm. Based on the significance of the factor “algorithm”, the best algorithm is identified using Duncan’s multiple range test. Then it is compared with a mathematical model in terms of total cost. It is found that the best hybrid genetic algorithm identified gives results on par with the mathematical model in statistical terms. So, the best algorithm out of four algorithm proposed in this paper is proved to be superior to all other algorithms for all sizes of problems and its performance is equal to that of the mathematical model for small size and medium size problems.

Literature Review on Network Design Problems in Closed Loop and Reverse Supply Chains

The productivity of an organization is very much affected by non-value adding activity like logistics, which moves the resources from suppliers to factory, raw materials/semi-finished items within the factory and finished goods from factory to customers via a designated distribution channel called as forward logistics. In some cases, parts of the products such as automobiles, computers, cameras, mobile phones, washing machines, refrigerators, garments, footwear and empty glass bottles of beverages, etc. will be brought back to the factories as a product recovery strategy through reverse logistics network which is integrated in a sustainable closed loop supply chain network. So, it is highly essential to optimize the movement of the items in the reverse logistics network. This paper gives a comprehensive review of literature of the design of networks for the reverse logistics as well as for the reverse logistics coupled with forward logistics. The contributions of the researchers are classified into nine categories based on the methods used to design the logistics network.

Pricing and decision of carbon emission reduction for closed-loop supply chain considering carbon trading mechanism

To determine the optimal pricing and carbon emission reduction decision, a closed-loop supply chain with a manufacturer and a retailer is investigated. In this system, the manufacturer manufactures new products and remanufactures used products while the retailer is responsible for selling new products and remanufactured products. The profit functions of the manufacturer and the retailer are developed, and the corresponding solution formulae for decision variables are given by the Stackelberg game model. Finally, a numerical example is given, and the optimal wholesale price, retail price, carbon emission reduction and others are obtained. Through the sensitivity of the unit carbon allowance price, some significant managerial insights are derived.

Collection Cost Screening Mechanism in a Closedloop Supply Chain

Recently, the product remanufacturing has been a hot topic in the field of operational management, and more manufacturers are beginning to recover the value in their end-of-life (EOL) products by remanufacturing. This paper focuses on the closed-loop supply chain where the retailer takes charge of not only retail, but also collection. There are two possible types of the retailer's collection cost as an assumption, i.e. high cost or low cost, and the retailer knows his type, whereas the manufacturer only has a prior probability over the two possible cost types. This paper deploys the contracts with which the manufacturer can screen the type of the retailer to improve her profit under incomplete information. As a result, the pooling contract can perfectly coordinate the decentralized system under incomplete information, but the manufacturer obtains the lower profit; nevertheless, with the separating contracts the manufacturer obtains the larger profits though the system profit is lower.

Remanufacturing Closed-Loop Supply Chain Model with Radio Frequency Identification Affecting Recycling Rate

In order to construct a resource-saving and environmentfriendly society,the advantages of radio frequency identification(RFID) were considered.And it put forward the idea of introducing RFID in the recycling activities of waste products.Taking into account such elements as the technical level of RFID,cost saving from remanufacturing and the cost of RFID tags,both centralized and decentralized supply chain models with different participants in waste product collection were created,in order to determine the optimal pricing strategy and RFID technical level.In the end,sensitivity analyses were conducted to analyze the impacts of scaling parameter for additional increased recovery rate with RFID on pricing and RFID technology level,and impacts of cost saving on the profits of participants in different remanufacturing closed-loop supply chain models.

Dynamic Pricing Model for the Operation of Closed-Loop Supply Chain System

A class of closed-loop supply chain system consisting of one manufacturer and one supplier is designed, in which re-distribution, remanufacturing and reuse are considered synthetically. The manufacturer is in charge of recollecting and re-disposal the used products. Demands of ultimate products and collecting quantity of used products are described as the function of prices and reference prices. A non-linear dynamic pricing model for this closed-loop supply chain is established. A numerical example is designed, and the results of this example verified the model’s validity to price for the operation of closed-loop supply chain system.

Improving the Performance of Urban Waste Management Systems in the Context of a Closed-Loop Supply Chain

The saving of non-renewable energies, as well as the reduction of emissions into the environment, are two crucial objectives of industrial production. The recovery of post-consumer products associated with the use of end-of-life products is part of a context of optimization of these objectives. This recovery maximizes the use of resources from end-of-life products in a circular logic while recording the environmental footprint. This study considers a recycling strategy adapted to the need and urgency to reduce greenhouse gas emissions caused by global warming. The proposed model aims to optimize the profits of the circular manufacturing strategies while minimizing operational costs (collection, sorting, recycling), transport, GHG emissions and recycling. In this paper, a compromise between the gains of CM and the costs associated with it was studied. The robustness of the designed model was tested using a case study based on real-world scenarios. A sensitivity analysis was carried out to study the impact of the emission cost on the overall objective, considering the two options currently offered to industries. The obtained results support companies to take the ecological aspect into account and integrate sustainable development into their strategic axes for their logistics supply chains.

A closed-loop Supply Chain Network Equilibrium Model with Fuzzy Demand under Production Capacity Constraints and Price Rigidities

A closed-loop supply chain network equilibrium problem is examined,which consists of mutual competitive manufacturers with production capacity constraints and retailers with fuzzy market demands,mutual competitive collectors as well as a binding price ceiling of the commodities.By utilizing the credibility measure of fuzzy event,variational inequality and Lagrange dual theory,the optimum behaviors of manufactures,retailers,collectors and consumers are described.Therefore,the supply chain network equilibrium model is established.Numerical examples were given to illustrate the impact of production capacity constraints and price ceiling on the network equilibrium pattern.The results show that the shortage of commodities in consumer market will be more serious,the wholesale price of product and purchase price of waste products rise,the profits of retailers decrease,the profits of manufacturers and collectors increase as the government gradually reduce the binding price ceiling on competitive markets,and the trend will be more obvious in the existence of production capacity constraints at same time.

低碳视角下集成式纺织服装闭环供应链运作决策

纺织服装产业的蓬勃发展,不仅有效带动了社会经济的快速发展,同时也造成了废旧服装数量的日益剧增。为有效提高废旧服装回收效率及其利用率,兼顾供应链整体运营与生态环境的目标,文章设计分析了一个由供应商、制造商和零售商组成的三级纺织服装闭环供应链网络,其中零售商集成废旧服装的统一回收,制造商集成废旧服装的统一分类及再利用废旧服装的加工处理。鉴于服装回收处理过程中碳排放量高且分布不均这一现实问题,引入碳配额机制,以供应链整体收益和成本为目标,建立一个双目标决策优化模型,并对模型设计了约束求解方法。最后通过数值实验说明了本文所建模型的有效性和相应运营决策方案的合理最优性。相关研究结果表明:废旧纺织服装的回收处理尽管需要一定的运营成本,但从长期运营视角来看,其能够给供应链整体带来较大的潜在收益。零售商和制造商的集成化运营模式不仅可有效的降低供应链的整体运营成本,同时亦可有效提升供应链整体的协同运作效率。合理的碳配额机制可有效激励相关成员企业去绿色低碳运营,进而提升自身竞争力和可持续发展能力。相关研究成果不仅具有一定的理论价值,同时对政府和服装产业制定合理的碳配额机制,设计构建纺织服装闭环供应链网络具有一定的指导和借鉴意义。

考虑品牌优势的回收商生产模式研究:再制造或翻新

研究品牌优势对回收商生产模式选择的影响机制,并基于三方博弈模型,运用KKT条件等方法分析不同品牌优势下,回收商选择再制造或翻新的决策条件和利益分配结果。结果表明,在品牌优势较低的情况下,回收商的生产模式选择会依赖回收成本。当回收成本较低时,全部翻新是回收商最优策略,但这会损害品牌制造商和品牌零售商的利益;当回收成本适中时,回收商倾向于部分翻新,此时品牌零售商可以从中获益,但品牌制造商会受到冲击;当回收成本较高时,回收商翻新威胁小,品牌制造商和品牌零售商都会默认接受这一结果。在品牌优势较高的情况下,回收商和品牌制造商有动机达成再制造协议,实现双方的共赢,但品牌零售商会极力反对这一协议。此外,合作再制造模式并不一定能带来更高的消费者剩余,在一定条件下,翻新竞争模式下消费者剩余可能会超过合作再制造模式下的水平。

差额碳税视角下应急产品闭环供应链的协调机制研究

为提高应急产品的资源利用效率并强化应急体系协同绿色发展,构造制造商处主导地位、零售商处从属地位的应急产品闭环供应链博弈模型。从差额碳税视角出发对比分析集中决策和分散决策下应急产品闭环供应链的各个均衡决策,推导出利用“讨价还价”模型实现供应链协调的条件,并进行算例分析。研究结果表明:差额碳税政策可以提高再制造应急产品的市场占比份额,促进资源的高效循环发展;讨价还价模型可以实现闭环供应链的有效协调。研究结果可为应对突发事件提供理论参考。

基于信息不对称与风险规避的低碳闭环供应链定价决策研究

为确定闭环供应链的产品定价和碳减排率,同时考虑制造商的风险规避行为和零售回收运营成本信息的不对称性,构建以制造商为主导的Stackelberg博弈模型,分析对比信息对称和信息不对称两种情况下的最优决策,利用数值分析验证结论。研究表明:产品的销售价格、批发价格、碳减排率及制造商效用都将随着制造商风险规避程度的提高而降低,而市场需求与零售商效用将增加;当零售商谎报回收运营成本时,相较于坦白回收运营成本,产品转移价格与零售商效用均有所提升,产品回收价格、废旧产品回收量和制造商效用则降低,且风险规避和信息不对称均对碳减排产生消极影响。

双利他偏好下再制造闭环供应链的差异化定价决策

为了给出制造商和零售商双利他偏好下再制造闭环供应链的差异化定价决策,针对无利他偏好、单制造商利他偏好、单零售商利他偏好和双利他偏好4种决策模式,比较分析得出双利他偏好对闭环供应链差异化定价决策和渠道效率的影响。研究发现,增加零售商利他偏好程度会增加新产品和再制造产品批发价;增加双方的利他偏好程度会降低新产品和再制造产品零售价,增加市场需求;增强利他偏好程度会增加废弃产品回收数量,有利于回收再制造;提高制造商和零售商的利他偏好程度将减少自身收益而增加对方收益,同时提升渠道效率;双利他偏好有利于提高闭环供应链整体利润和效率,且比单一利他偏好产生的影响更加显著。

考虑碳排放的不确定闭环供应链鲁棒优化研究

综合考虑市场需求不确定、退换货产品数量不确定及设施中断风险,将碳限额政策和新能源设施建设作为影响决策的关键因素,建立了供应链网络总成本和碳排放量最小的双目标鲁棒优化模型,设计了一种Prim-NSGAⅡ算法求解该模型.通过与传统NSGAⅡ算法的IGD、SM指标对比验证了算法的有效性,得到了不同不确定程度下的最优网络规划方案和不同参数下的管理对策.结果表明,该算法达到了加快求解收敛速度、保持种群多样性的目的,验证了鲁棒优化模型可以实现闭环供应链网络鲁棒性,经济效益及环境效益的综合提升,并为决策者制定具体的碳减排方案提供决策依据.

基于政府补贴的闭环供应链不同回收模式决策研究

探究政府补贴政策对不同混合回收模式中供应链成员利润和整体利润的作用,建立Stackelberg博弈模型,对比分析不同回收模式中供应链成员利润和整体利润的变化,并进行数值仿真分析,指出政府补贴额度的增加可提高最优回收模式中各回收主体利润和供应链整体利润,得到闭环供应链最优回收模式,提出提高补贴额度、增强宣传教育、完善补贴机制、打造产业集群等对策建议,为闭环供应链回收模式选择决策提供理论基础和借鉴。

二手市场是否参与回收?基于基金补贴的供应链模式研究

考虑在基金补贴政策下,构建无二手市场参与的基本模型和二手市场参与回收销售的混合模型,分析了供应链的最优决策和回收销售模式的选择,并通过模型比较研究了单位产品处置税、销售竞争、回收竞争等对运作决策的影响,最后,采用数值分析验证模型结论。研究表明:(1)在回收销售渠道的选择方面,无二手市场参与的回收销售模式是供应链各方的最优选择;存在二手市场竞争时,再造品产品质量和再造品企业社会责任感均会下降,社会福利下降。(2)政府补贴可以有效激励废旧品回收,促进供应链总利润的增加和社会福利的上升。(3)不同竞争系数的变化会给供应链带来不同的影响,废旧品的回收竞争会导致供应链总利润的减少和社会福利的下降;再造品的销售竞争可促进供应链总利润的增加和社会福利的上升。

混合回收下风险规避闭环供应链定价与融资决策

在市场需求不确定且制造商和零售商同时回收废旧品的背景下,针对零售商资金短缺问题,考虑零售商和制造商的风险规避行为,分别构建银行贷款、延迟支付和两者组合融资决策下的Stackelberg决策模型。从理论上分析了不同情形下零售商和制造商的最优定价决策和最优融资选择,并通过算例分析进行了验证。研究表明:制造商和零售商应根据融资利率和彼此的风险规避程度调整正向供应链中的产品定价,且零售商的定价还应考虑融资决策选择的影响,而对于废旧品的回收定价应根据剩余再制品的处理价格进行定价,且零售商还要同时考虑回收竞争强度的影响。在融资方面,延迟支付总是制造商和零售商的最优选择。

考虑零售商CSR行为的闭环供应链差别定价及协调

针对零售商进行CSR投入的情形,考虑渠道权利与新产品和再造品的价格差异,分别构建集中与分散决策下的三种闭环供应链博弈模型,分析了零售商的CSR投入及渠道权利对供应链均衡策略及利润的影响,并设计了契约以实现帕累托优化。研究发现,零售商的CSR投入行为会使新产品和再造品的批发价格以及零售价格提高、市场需求量增加;零售商的CSR投入对制造商有着正向影响,而零售商的利润与消费者对CSR投入的敏感度有关;增强新产品与再造品的替代度有利于提高闭环供应链的运作效率,但也会加剧闭环供应链系统的“双重边际”效应。

风险规避型闭环供应链差别定价决策

在不确定市场需求和回收数量的背景下,将决策者风险规避行为纳入到闭环供应链中,研究决策者风险规避系数、消费者WTP(willing to pay)、不确定性水平对闭环供应链的定价影响。研究发现:决策者的风险规避系数会间接影响回收价格;消费者WTP对再制品销售价格总是有利的,但对新产品销售价格和回收价格的影响与决策者风向规避特性有关;不确定性水平对定价决策的影响与风险持有者有关。