Supplier Development under Supply Risk and Reputational Risk

This paper considers the supplier investment decision-making problem in a supply chain consisting of an original equipment manufacturer(OEM),a global supplier,and a local supplier.To reduce dependence on global suppliers and improve supply stability,we develop a differential game model to investigate the optimal investment decisions of the OEM towards the local supplier under different risk scenarios and the impact of different risks on the optimal decisions.The results show that investment efficiency and risks have a significant impact on OEM investment decisions.Specifically,when the OEM has higher investment efficiency,investing in the local supplier is profitable for the OEM;conversely,when the investment efficiency of the OEM is lower,it does not invest.In addition,an increase in the supply risk of the global supplier will lower the entry threshold for OEM investment,but an increase in the supply risk of the local supplier and the reputational risk of both will increase this threshold,meaning that only the OEM with significantly higher investment efficiency can profit.

Study on risk analysis of supply chain enterprises

The sources of supply chain enterprise risk from different aspects including material flow, information flow, cash flow and partner relationship is analyzed. Measures for risk reduction have also been summarized from the aspects of risk sharing, information sharing, change of inventory control mode, and supply chain flexibility. Finally, problems in current research on supply chain risk management are pointed out and a discussion on future research trend is presented.

Agricultural Supply Chain Risks Evaluation with Spherical Fuzzy Analytic Hierarchy Process

The outbreak of the COVID-19 pandemic has impacted the development of the global economy.As most developing and third world countries are heavily dependent on agriculture and agricultural imports,the agricultural supply chains(ASC)in all these countries are exposed to unprecedented risks following COVID-19.Therefore,it is vital to investigate the impact of risks and create resilient ASC organizations.In this study,critical risks associated with ASC were assessed using a novel Analytical Hierarchy Process based on spherical fuzzy sets(SF-AHP).The findings indicated that depending on the scope and scale of the organization,supply risks,demand risks,financial risks,logistics and infrastructure risks,management and operational risks,policy and regulatory risks,and biological and environmental risks all have a significant impact on ASC.This research highlighted that the most significant criterion is specified as Transportation(TP),followed by Market(MA)and Policy(PO),respectively.Meanwhile,Technology(TL)is the least significant criterion.The study’s findings can help managers with a holistic view of the agriculture supply chain risk mitigation.Furthermore,this study may assist managers in sharing information about the processing of agricultural products from top to bottom to manage risk in the supply chain.

A Server Placement Algorithm for Reducing Risk and Improving Power Utilization in Data Centers

As the power demand in data centers is increasing,the power capacity of the power supply system has become an essential resource to be optimized.Although many data centers use power oversubscription to make full use of the power capacity,there are unavoidable power supply risks associated with it.Therefore,how to improve the data center power capacity utilization while ensuring power supply security has become an important issue.To solve this problem,we first define it and propose a risk evaluation metric called Weighted Power Supply Risk(WPSRisk).Then,a method,named Hybrid Genetic Algorithm with Ant Colony System(HGAACS),is proposed to improve power capacity utilization and reduce power supply risks by optimizing the server placement in the power supply system.HGAACS uses historical power data of each server to find a better placement solution by population iteration.HGAACS possesses not only the remarkable local search ability of Ant Colony System(ACS),but also enhances the global search capability by incorporating genetic operators from Genetic Algorithm(GA).To verify the performance of HGAACS,we experimentally compare it with five other placement algorithms.The experimental results show that HGAACS can perform better than other algorithms in both improving power utilization and reducing the riskof powersupply system.

Characteristics of groundwater and urban emergency water sources optimazation in Luoyang,China

The construction of emergency water sources is the material basis for ensuring urban water safety,and it is also an inherent requirement for maintaining social stability and development.The hydrogeological characteristics of groundwater in Luoyang City from the aspects of the division of groundwater aquifer groups,water yield property and groundwater dynamics were described in this paper.Two emergency water sources were selected on basis of comprehensively considering groundwater resources and ecological environmental effects,groundwater quality and exploitation technology,etc.Then it further analysed the aquifer types,water yield properties and groundwater recharge,runoff and discharge conditions of the two emergency water sources,and evaluate the groundwater resources quantity of the water sources.The results are that the shallow underground aquifer in Luoyang City is thick,coarse,and stable in lithology and thickness.The two water sources enjoy good exploitation potential and can be used as backup water sources to supply water in the event of a water source crisis.

A REVIEW OF ENTERPRISE SUPPLY CHAIN RISK MANAGEMENT

This paper reviews enterprise risk management practices in the context of supply chains. Starting with the importance of managing supply chain risks, the paper established the benefits of managing risks using an enterprise-wise integrated approach. The rest of the paper then presents a practical framework for enterprises to manage risks in their extended supply chains.

Disruptive technologies for advancing supply chain resilience

Disruptive technologies provide a new paradigm for supply chain risk management and bring opportunities and challenges for the improvement of supply chain resilience(SCRes).This study summarizes the application cases of some disruptive technologies in the SCRes and analyzes the benefits and damages brought by disruptive technologies to the SCRes.The results show that disruptive technologies can provide the supply chain with flexibility,visibility,agility,and other capabilities at various stages of risk management.Hence,technology advancements greatly increase the level of the SCRes.Although disruptive technologies undermine the construction of SCRes,these damages can be eliminated through technology iteration or other disruptive technologies.Furthermore,disruptive technologies will provide better stability for the SCRes.The study also makes several suggestions for the use of disruptive technologies in the construction of the SCRes.

Trade Credit and Buyer Financing

This study investigates trade credit and early payment financing in a three-party supply chain consisting of a manufacturer,a capital-constrained distributor,and a retail platform.The manufacturer or the platform provides the financing service to the distributor.Two different leadership structures are investigated,namely,platform and manufacturer leadership Stackelberg game,where the platform or manufacturer first makes the decision,respectively.Under trade credit financing,the manufacturer and the whole supply chain face loss when the commission rate increases.However,under buyer financing,they benefit from the high commission rate.Under platform leadership,the distributor,the manufacturer,and the supply chain perform better with trade credit if and only if the commission rate is small or the production cost is high,while the platform always prefers buyer financing.Under manufacturer leadership,the distributor,manufacturer,and supply chain perform better with trade credit under low production cost and commission rate.The platform prefers trade credit when production cost is in the intermediate range.By further analyzing the case that both financing channels are available and the distributor decides which one to choose,we find that the financing services competition hurts only the platform's profits.And under certain conditions,trade credit and early payment can achieve the same performance for every supply chain member.These findings enhance our understanding of the supply chain risk allocation efficiency of trade credit and early payment financing under different leadership structures.Neither risk allocation form outperforms the other,and the relative efficiency depends on supply chain characteristics.