Profit Allocation Scheme Among Players in Supply-Chain Based on Shapley Value of Fuzzy Bi-cooperative Games

The Shapley value of fuzzy bi-eooperative game is developed based on the conventional Shapley value of bi-cooperative game. From the viewpoint that the players can participate in the coalitions to a certain extent and there are at least two independent cooperative projects for every player to choose, Shapley value which is introduced by Grabisch is extended to the case of fuzzy bi-cooperative game by Choquet integral. Moreover, the explicit fuzzy Shapley value is given. The explicit fuzzy Shapley function can be used to allocate the profits among players in supply-chain under the competitive and uncertain environment.

Risk Assessment of Agricultural Products Supply-Chain Finance Based on D-S Theory

Agricultural products supply-chain finance, as one of the solutions to the issue of “capital problems” of agriculture, countryside and farmers, has proposed a kind of characteristics model to assess the risk of agricultural production, processing and marketing, which can improve the issue of farmers and enterprises lacking of funds. This model is proposed on the basis of uncertain information processing method of D-S theory and its data combination rules, combined with the “discount rate” correction model, and it includes a risk assessment index system of agricultural products supply-chain finance, fully considering the five aspects of production, processing, marketing, cooperation of supply chain and collateral. At last, a taro supply chain is taken for example. And the risk assessment of its supply-chain finance based on this model has been discussed in detail. And the result has proved that the model and its algorithm are practical and feasible.

制造企业资源依赖与供应链权力的关系研究——以长三角地区制造企业为例

基于资源依赖理论研究供应链权力与资源依赖的关系,以及供应链权力实施对于供应链合作绩效的影响,希望从资源依赖角度建立一个框架,来解释供应链关系中不同权力的表现形式,以期为提高企业的供应链合作水平和积极应对供应链权力提供战略参考。通过对长三角地区制造企业的调查研究发现,对不同资源的依赖,会影响供应链成员选择实施不同的供应链权力;在现阶段,供应链权力的实施对供应链合作并没有负面影响。

An Optimal Method for Supply Chain Logistics Management Based on Neural Network

From raw material storage through final product distribution,a cold supply chain is a technique in which all activities are managed by temperature.The expansion in the number of imported meat and other comparable commodities,as well as exported seafood has boosted the performance of cold chain logistics service providers.On the basis of the standard basicpursuit(BP)neural network,a rough BP particle swarm optimization(PSO)neural network model is constructed by combining rough set and particle swarm algorithms to aid cold chain food production enterprises in quickly picking the best cold chain logistics service providers.To reduce duplicate information in the original data and make the input index more compact,the model employs rough set.Instead of using gradient descent to train the weights of the neural network,particle swarm optimization is utilized to ensure that the output results are not readily caught in local minima and that the network’s generalization capacity is improved.Finally,an example is presented to demonstrate the model’s validity and viability.The findings reveal that the model’s prediction error is 40.94 percent lower than the BP neural network model,and the prediction result is more accurate and dependable,providing a new technique for cold chain food production companies to swiftly pick the best cold chain logistics service provider.

RFID’s Impacts on Business Value:A Case Study of Supply Chain in the Discrete Manufacturing Industry

Radio frequency identification （RFID） shall be a revolutionary technological innovation in recent years. Various solutions employing RFID technology have proved their functionality already in such industries as pharmaceuticals, express parcel carrying, and automotive manufacturing, and the increased efficiency and effectiveness has provided a good payback for the investments. But, up to now, fewer researches concentrate on applying REID to heavy-machinery manufacturing enterprises, which are a typical kind of enterprises in discrete manufacturing industry. The main objective of this case study is to extend our understanding of the potential for RFID to delivery of the heavy-machinery manufacturing enterprise, which involves one specific supply chain. A trial to automate the verification activities of delivery is designed and performed. Results show that the stops currently designed into the processes can be eliminated by employing RFID technology and that RFID should be a revolutionary technology as it redesigns the existing processes, eliminate some current inefficiency, improve the accuracy of delivering the products, increases information sharing between supply chain members.

The PACTUM model:Product analysis of cost and time using mathematics

Establishing a mathematical supply-chain model is a proposition that has received attention due to its inherent benefits of evolving global supply-chain efficiencies.This paper discusses the prevailing relationships found within apparel supply-chain environments,and contemplates the complex issues indicated for constituting a mathematical model.Principal results identified within the data suggest,that the multifarious nature of global supply-chain activities require a degree of simplification in order to fully dilate the necessary factors which affect,each subsection of the chain.Subsequently,the research findings allowed the division of supply-chain components into subsections,which amassed a coherent method of product development activity.Concurrently,the supply-chain model was found to allow systematic mathematical formulae analysis,of cost and time,within the multiple contexts of each subsection encountered.The paper indicates the supplychain model structure,the mathematics,and considers how product analysis of cost and time can improve the comprehension of product lifecycle management.

Water consumption and biodiversity:Responses to global emergency events

Given that it was a once-in-a-century emergency event,the confinement measures related to the coronavirus disease 2019(COVID-19)pandemic caused diverse disruptions and changes in life and work patterns.These changes significantly affected water consumption both during and after the pandemic,with direct and indirect consequences on biodiversity.However,there has been a lack of holistic evaluation of these responses.Here,we propose a novel framework to study the impacts of this unique global emergency event by embedding an environmentally extended supply-constrained global multi-regional input-output model(MRIO)into the drivers-pressure-state-impact-response(DPSIR)framework.This framework allowed us to develop scenarios related to COVID-19 confinement measures to quantify country-sector-specific changes in freshwater consumption and the associated changes in biodiversity for the period of 2020-2025.The results suggest progressively diminishing impacts due to the implementation of COVID-19 vaccines and the socio-economic system’s self-adjustment to the new normal.In 2020,the confinement measures were estimated to decrease global water consumption by about 5.7% on average across all scenarios when compared with the baseline level with no confinement measures.Further,such a decrease is estimated to lead to a reduction of around 5% in the related pressure on biodiversity.Given the interdependencies and interactions across global supply chains,even those countries and sectors that were not directly affected by the COVID-19 shocks experienced significant impacts:Our results indicate that the supply chain propagations contributed to 79% of the total estimated decrease in water consumption and 84%of the reduction in biodiversity loss on average.Our study demonstrates that the MRIO-enhanced DSPIR framework can help quantify resource pressures and the resultant environmental impacts across supply chains when facing a global emergency event.Further,we recommend the development of more locally based water conservation measures—to mitigate the effects of trade disruptions—and the explicit inclusion of water resources in post-pandemic recovery schemes.In addition,innovations that help conserve natural resources are essential for maintaining environmental gains in the post-pandemic world.