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.

Closed-loop supply chain network equilibrium strategy model with environmental protection objectives

With the increasing popularity of ecological civilization and sustainable development,enterprises should consider environmental protection measures in their operations in addition to pursue their economic interests.This paper establsihes a closed-loop supply chain network model composed of multiple suppliers,manufacturers,retailers,recyclers,and demand markets—regarding their dual goals of the profit maximization and the minimization of carbon emissions.The conditions necessary for establishing overall equilibrium and an equilibrium model of the entire closed-loop supply chain network are determined by applying variational inequality and dual theory.A modified projection contraction algorithm is used to design a model-solving program.Finally,using numerical examples,the paper conducts a comparative static analysis on important parameters such as the weight coefficients of environmental protection objectives and consumers'awareness of low-carbon environmental protection and attains some beneficial enlightenment on management.The results indicate that when the environmental protection objectives of a certain type of enterprise increases,both the economic benefits and environmental protection performance will improve;when the environmental protection objectives of all enterprises increases simultaneously,environmental protection performance improves significantly,but the changes in economic benefits of different enterprises are inconsistent and profit coordination is more complex.Although consumers’awareness of low-carbon preference could improve environmental performance,it reduces the overall profits of network members and the entire closed-loop supply chain network as a whole.The above conclusions can be used as a reference for the government in designing low-carbon environmental protection policy and in closed-loop supply chain research.

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.

Dynamic decision and its complex dynamics analysis of low-carbon supply chain considering risk-aversion under carbon tax policy

This study establishes a low-carbon supply chain game model under the centralized decision situation and the decentralized decision situation considering the manufacturer risk-aversion behavior, and discusses the influence of the manufacturer risk-aversion behavior on the optimal decision, profit, coordination, and complex dynamics of the supply chain. We find that comparing with the risk-neutral decentralized decision, the increase of manufacturer's risk tolerance attitude can narrow the gap between the supply chain profit and the centralized decision, but it will further reduce the carbon emission reduction level. The increase of risk tolerance of the manufacturer and carbon tax will narrow the stable region of the system. Under this situation, the manufacturer should carefully adjust parameters to prevent the system from losing stability,especially the adjustment parameters for carbon emission reduction level. When the system is in a chaotic state, the increase of carbon tax rate makes the system show more complex dynamic characteristics. Under the chaotic state, it is difficult for the manufacturer to make correct price decision and carbon emission reduction strategy for the next period, which damages its profit, but increases the profit of the retailer and the supply chain. Finally, the carbon emission reduction cost-sharing contract is proposed to improve the carbon emission reduction level and the supply chain efficiency, achieving Pareto improvement. The stability region of the system is larger than that in the centralized decision situation, but the increase of the cost sharing coefficient will reduce the stability of the system in the decentralized decision-making situation.

The Low-Carbon Operations in Ecotourism Service Supply Chain Management

The ecotourism has quickly developed as the fastest growing industry in recent years. Ecotourism is one kind of tourism industry that also consists of complex service providers like travel agents, hotels, transportations （such as airplane, bus, and ship） restaurants, and destinations, connecting with operational diversity; therefore, those of supported services are linked with a supply chain together, and its management is called ecotourism service supply chain management （ESSCM）. Moreover, a low-carbon operation management has also become an important challenge to ecotourism nowadays. Based on the problems of service and low-carbon operation management made together above, exploring an effective solution into ecotourism is worthy. Using ESSCM as a strategy for solving industrial problems of service and low-carbon operations management in ecotourism is explored in this paper. The contributions here include clearly explanations of what ESSCM is and how ESSCM is used with low-carbon operations as a sustainability strategy, and finally a practical case study is also examined in the end.

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.

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.

Decision model for closed loop supply chain with uncertain demand and price-dependent returns

A single product closed-loop supply chain that satisfies an uncertain market demand with original and remanufactured products is considered.The yield of the recovery process is random and depends on the acquisition price offered for the end-of-life products.In such a stochastic setting,a firm needs to make production and procurement decisions so that the total expected profit is maximized.Both centralized and decentralized models are established depending on the party collecting the returns.The optimal acquisition price and production quantities of original and remanufactured products are determined for the firm.The contracts to coordinate the decentralized systems are chosen and the optimal contract parameters are determined.A computational experiment is given to show the effects of recovery parameters on the system performance.Results show that the recovery parameters have a high impact on the profitability of the manufacturer in the centralized model and on that of the collection agency in the decentralized model.

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.

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 （EOI.） products hy remanufacturing. This paper focuses on the closed loop supply chain where the retailer takes charge of not only retail, but also col- lection. 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 prohability 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 decentral- ized 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.

Decision and Coordination in a Closed-Loop Supply Chain with Product Recycling Under Different Low-Carbon Regulations

The implementation of recycling activity is of great significance to closed-loop supply chain operations.Consumers’environmental awareness and governmental subsidy are considered in the two-echelon closed-loop supply chain.Two types of decision-making structures are proposed under different carbon emission regulations.The subsidy sharing mechanism is designed to resolve the channel members’conflict caused by double marginalization.This paper provides insight into the effect of environmental awareness and government subsidy under different low-carbon regulations on the supply chain benefit and social welfare via the game theory.The analysis results display that the government subsidy and subsidy sharing mechanism are profitably beneficial to the whole supply chain and social welfare.Moreover,a noteworthy result reveals that social welfare is not always directly proportional to consumers’environmental awareness.Social welfare decreases slightly with the increase in consumers’environmental awareness when consumers’environmental awareness is weak.However,social welfare will be significantly improved when consumers’environmental awareness increases beyond a certain threshold.

Coordination for a Closed-loop Supply Chain with Recycling Platform Considering Dynamic Setting

This paper presents a dynamic closed-loop supply chain(CLSC)model,incorporating a manufacturer,a retailer,and an internet recycling platform(IRP),utilizing differential game theory while considering the forgetting effect of consumers.The model encompasses factors such as the quality level of used products and Big Data marketing(BDM),comparing optimal equilibriums under decentralized and cooperative decision scenarios.To effectively coordinate the dynamic CLSC at each time point,we propose a revenue-sharing and cost-sharing(RSCS)combined contract.In addition to ensuring reasonable sharing of revenues and costs,this contract allows the manufacturer to flexibly adjust wholesale prices for final products and transfer prices for used products in order to distribute profits appropriately and achieve Pareto optimality within the CLSC system.Furthermore,our results indicate that there exists a threshold for Big Data marketing efficiency;high-efficiency BDM not only facilitates increased recycling on Internet platforms but also reduces unit recycling costs for enterprises.Interestingly,when implementing the combined contract,Big Data marketing efficiency does not impact the transfer price paid by manufacturers to Internet recycling platforms.

Pricing Decisions in Dual-Channel Closed-Loop Supply Chain Under Retailer’s Risk Aversion and Fairness Concerns

This paper studies the price decisions in a dual-channel closed-loop supply chain with a risk-averse retailer and a risk-neutral manufacturer by modeling and analyzing three cases:(1)the retailer does not have fairness concerns;(2)the retailer has fairness concerns and the manufacturer considers it;and(3)the retailer has fairness concerns and the manufacturer does not consider it.The effects of risk aversion and fairness concerns on the pricing decisions,profits and demand are examined in differing scenarios.

Closed-loop Supply Chain Based Battery Swapping and Charging System Operation: A Hierarchy Game Approach

To realize optimal day-ahead operation of battery swapping and charging systems(BSCSs),a closed loop supply chain(CLSC)based management scheme is proposed,where the game theory is adopted for benefits allocation.The CLSC is used to depict the battery-swapping-charging process between the battery charging stations(BCSs)and battery swapping stations(BSSs).The arrival,departure and swapping service of electric vehicles(EVs)at BSSs is modeled as distinct queues based on the network calculus theory.The depleted batteries(DBs)and well-charging batteries(WBs)based interaction among BCSs and BSSs is formulated as a Stackelberg game.In the game,one BCS acts as the leader and the BSSs act as the followers.The BCS sets optimized prices to maximize its utility and the BSSs optimally demand WBs,supply DBs and provide battery swapping services to maximize their own utilities while guaranteeing the quality of service(QoS)needed for battery swapping.The existence of Stackelberg equilibriums(SEs)of the proposed game is proved.A differential evaluation based hybrid algorithm is proposed to compute an SE.The effectiveness of proposed method has been demonstrated by the simulation results,guaranteeing the QoS and balancing benefits among the BCS and BSSs while maximizing social welfare.

Pricing and production strategies in remanufacturing from the perspectives of supply chain: Review and future directions

Remanufacturing is widely recognized as beneficial to the environment and a circular economy. However, remanufacturing is more complex than traditional manufacturing due to the effects of government policy, uncertainty of consumer preferences, competition and cooperation among firms, and so on. These factors motivate academics to optimize remanufacturing outcomes, especially for product pricing and production. This study reviews the published literature on pricing and production strategies in remanufacturing from four perspectives of supply chain, namely, government policy, consumer characteristics, relationships among firms, and supply chain structures. Review results can benefit scholars/practitioners in the future by highlighting the challenges and opportunities in remanufacturing strategies.

Optimal Decision-Making of Low-Carbon Supply Chain Incorporating Fairness Concerns

The optimal decision-making of the low-carbon supply chain incorporating fairness concerns, such as the effort of reducing carbon emissions, the whole sale price and retail price, is analyzed by taking the Nash bargaining solution as the fairness reference point. The following conclusions are found. Firstly, the wholesale price is strongly influenced by the fairness concern of the manufacturer but weakly influenced by that of the retailer, although both statistically significantly. Secondly, both the manufacturer’s and retailer’s fairness concerns reduce carbon emissions dramatically to nearly the same extent. Thirdly, the effect of the manufacturer’s fairness concern on the retail price is so tiny that it can almost be ignored, while the retailer’s fairness concern changes the retail price remarkably.

Small and Medium-Sized Enterprises Closed-Loop Supply Chain Finance Risk Based on Evolutionary Game Theory and System Dynamics

After building a dynamic evolutionary game model, the essay studies the stability of the equilibrium in the game between the commercial banks and the closed-loop supply chain(CLSC) enterprises. By design of systematic mechanism based on system dynamics theory, capital chains of independent small and medium-sized enterprises(SMEs) on CLSC are organically linked together. Moreover, a comparative simulation is studied for the previous independent and post-design dependent systems. The study shows that with business expanding and market risk growing, the independent finance chains of SMEs on CLSC often take on a certain vulnerability, while the SMEs closed-loop supply chain finance system itself is with a strong rigidity and concerto.

Closed-loop Supply Chain Systems Constructed by 4PL and Performance Evaluation by Using Exergoeconomics

This paper introduces a new concept of 4PL, which is a contractor of the closed-loop supply chain coordination based on the division of community and the outsourcing development. The concept enriches the connotation of 4PL and broadens the thought for 4PL development. Secondly, according to the characteristics of the closed-loop supply chain in the different duration of the collaborative relationship and the dynamic characteristics of the closed-loop supply chaini we apply the fractal theory to establish a fractal system of 4PL coordinating closed-loop supply chain and propose different strategies for 4PL coordinating with different types of closed-loop supply chains in the various links of the system. Moreover, some strategic and proactive thinking are provided for 4PL＇s practices. Then based on the exergoeconomics theory, the closed-loop supply chain is regarded as a huge energy system with the new view, and the sustainability of the closed-loop supply chain system is discussed under the circumstance of exergoeconomics, and then the metric about “system negative environment effect” is introduced to measure the closed-loop supply chain system performance in the point of energy, a case study illustrates our conclusions.

COMPARISONS OF LOW CARBON POLICIES IN SUPPLY CHAIN COORDINATION

This paper investigates the influence of low-carbon policies on channel coordination for a two-echelon supply chain consisting of one supplier and one retailer. Four different models are considered： the basic model, the carbon emission model, the carbon emission trading model and the carbon tax model. We find that the government policy on all carbon emission models is not universal among the firms as well as the customers. The carbon emission trading policy is always better than the carbon emission policy and the carbon tax policy when the allocated carbon emission quotas are greater than the carbon emissions. The carbon emission trading policy is proved to be an effective mechanism which can motivate the supply chain to reduce carbon emissions. Under certain conditions, the supply chain prefers the carbon emission trading policy with higher carbon price to other policies. In the framework of Stackelberg game with the supplier as the leader, for each carbon policy, the paper presents coordination mechanism with the all-unit wholesale quantity discount contract （AWQD）. We analyze and compare the influence of low-carbon policies on channel coordination for the foul＂ low-carbon policies. Numerical experiments are conducted to examine our findings.

The optimal strategies in the supply chain with stochastic demand sensitivity to carbon emission

With the increasing awareness of low-carbon environmental protection,consumers prefer to purchase low-carbon products.In this paper,a two-echelon low-carbon supply chain consisting of one manufacturer and one retailer in classic single-period model with emission-sensitive stochastic demand is investigated.Firstly,optimal results for the decentralized and centralized decisions in the basic model are presented respectively.It manifests the effect of double marginalization which shows not only a lower order quantity but also higher unit carbon emission.Then,we are going to discuss the introduction of a buyback and cost-sharing contract,and two main carbon emission regulations in the decentralized model.Finally,compared with the basic model,numerical examples are studied on the optimal solutions to the total profit for the supply chain,order quantity,and unit/total carbon emission as the demand sensitivity to carbon emission/green investment coefficient/demand variance varies respectively before reaching several significant conclusions.