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 col...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.展开更多
Conflicts between supply chain members emerge because individual strategic actions may not be jointly optimal.Efforts to forecast consumer demand represent a source of conflict.The coordination of forecasts requires a...Conflicts between supply chain members emerge because individual strategic actions may not be jointly optimal.Efforts to forecast consumer demand represent a source of conflict.The coordination of forecasts requires a powerful incentive alignment approach.This work proposes a smart contract equipped consortium blockchain system that creates an incentive structure that makes coordination with respect to forecasts economically appealing.Distortions of demand information due to uncoordinated forecasting are captured by a bullwhip measure that factors both forecast error and variance.Cooperation under the system is shown to help minimize this bullwhip measure,thus generating new outcomes for the participants that allow for a higher reward.Under a fixed payout structure,the system achieves credibility of continued cooperation,thus promoting an optimally coordinated equilibrium between the retailer and supplier.Blockchain technology represents a novel information system and consensus formation mechanism that can intermediate the behavior of a supply chain network.展开更多
Owing to the changing fashion trends and a volatile market situation, demand in fashion and textile （FT） industry is unpredictable and could vary and change completely in a short time, which makes it more difficult ...Owing to the changing fashion trends and a volatile market situation, demand in fashion and textile （FT） industry is unpredictable and could vary and change completely in a short time, which makes it more difficult to coordinate a FT supply chain. A change in product preference due to fashion trends is the main reason why the demand of FT industry shows more variations than other industries. In this paper, we use a well known contract, the all-unit quantity discount policy （AQDP）, to coordinate a FT supply chain with certain demand, and we further consider it under the demand variations scenario to investigate whether it can still coordinate the supply chain. In detail, before the selling season, an AQDP is provided by the manufacturer to the retailer, and under which the FT supply chain coordination achieved with a certain demand. During the selling season, demand variation is realized after an abrupt changing of fashion trends, therefore, the manufacturer may need to revise the original AQDP to insure the supply chain is still coordinated. Utilizing the mechanism design theory, we prove that： （i） while the traditional AQDP can coordinate the supply chain when no demand variations, it cannot always coordinate the supply chain after the demand variations; （ii） when the AQDP fails, we can use the proposed capacitated linear pricing policy （CLPP） to achieve a new coordination; （iii） a more dominant decision maker, who can set a higher profit goal, is favorable to stabilization of the supply chain system under demand variations. Numerical examples are proposed also to show our results.展开更多
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...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.展开更多
基金study by the National Natural Science Foundation of China,Shandong province by the National Science Foundation Project,Project number:71202142,ZR2012GM002
文摘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.
文摘Conflicts between supply chain members emerge because individual strategic actions may not be jointly optimal.Efforts to forecast consumer demand represent a source of conflict.The coordination of forecasts requires a powerful incentive alignment approach.This work proposes a smart contract equipped consortium blockchain system that creates an incentive structure that makes coordination with respect to forecasts economically appealing.Distortions of demand information due to uncoordinated forecasting are captured by a bullwhip measure that factors both forecast error and variance.Cooperation under the system is shown to help minimize this bullwhip measure,thus generating new outcomes for the participants that allow for a higher reward.Under a fixed payout structure,the system achieves credibility of continued cooperation,thus promoting an optimally coordinated equilibrium between the retailer and supplier.Blockchain technology represents a novel information system and consensus formation mechanism that can intermediate the behavior of a supply chain network.
基金supported by the National Natural Science Foundation of China(Grant Nos.70901068, 71271198)the Funds for International Cooperation and Exchange of the National Natural Science Foundation of China(Grant No.71110107024)Chinese Universities Scientific Fund. the Science Fund for Creative Research Groups of the National Natural Science Foundation of China (Grant No.71121061)
文摘Owing to the changing fashion trends and a volatile market situation, demand in fashion and textile （FT） industry is unpredictable and could vary and change completely in a short time, which makes it more difficult to coordinate a FT supply chain. A change in product preference due to fashion trends is the main reason why the demand of FT industry shows more variations than other industries. In this paper, we use a well known contract, the all-unit quantity discount policy （AQDP）, to coordinate a FT supply chain with certain demand, and we further consider it under the demand variations scenario to investigate whether it can still coordinate the supply chain. In detail, before the selling season, an AQDP is provided by the manufacturer to the retailer, and under which the FT supply chain coordination achieved with a certain demand. During the selling season, demand variation is realized after an abrupt changing of fashion trends, therefore, the manufacturer may need to revise the original AQDP to insure the supply chain is still coordinated. Utilizing the mechanism design theory, we prove that： （i） while the traditional AQDP can coordinate the supply chain when no demand variations, it cannot always coordinate the supply chain after the demand variations; （ii） when the AQDP fails, we can use the proposed capacitated linear pricing policy （CLPP） to achieve a new coordination; （iii） a more dominant decision maker, who can set a higher profit goal, is favorable to stabilization of the supply chain system under demand variations. Numerical examples are proposed also to show our results.
基金supported by the National Social Science Foundation of China[grant number 17BGL083].
文摘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.
