Multiobjective decisions for provider selection and order allocation considering the position of the CODP in a logistics service supply chain

Wang, Guanxiong; Hu, Xiaojian; Li, Xiaozheng; Zhang, Yue; Feng, Shuai; Yang, Anli

doi:10.1016/j.cie.2019.106216

Cited by 23 publications

(16 citation statements)

References 52 publications

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“…Hu et al [37] used a genetic algorithm to solve the optimal selection strategy and order allocation strategy of functional logistics service providers. On this basis, Wang et al [38] established a nonlinear, mixed integer, multi-objective optimization model of LSSC, and the optimal supplier selection strategy, order allocation strategy, and optimal CODP location were obtained by using the improved genetic algorithm of multi-layer coding. The game algorithm can find the approximate optimal solution for multiobjective programming problems, which can provide a valuable reference solution for complex game problems.…”

Section: Application Of Game Theory and Decision Making Tools In Logisticsmentioning

confidence: 99%

Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments

Wang

2021

Sustainability

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The increasing pressures from environmental crises are responsible for the green and sustainable choices made in supply chain management. Green logistics service supply chain (LSSC) operations play a significant role in reducing the environmental burden of the supply chain, and the risk preferences of logistics enterprises lead to more uncertainties in the green management of LSSC. Much research has been limited to case studies of green LSSC, and the different combinations of risk preferences among LSSC participants have generally been ignored. This paper investigates the impact of the risk preference on the equilibrium behavior of an LSSC composed of one logistics service integrator (LSI) and one logistics service provider (LSP) under fuzzy decision environments. Considering the fact that the greening innovation cost and the parameters of the demand function are all characterized as fuzzy variables, the games between the LSI and LSP with different risk preferences were comprehensively proposed under three scenarios. Then, the optimal decisions of the LSP and LSI were drawn, and numerical examples are presented. The results show that an optimistic risk attitude can appropriately improve the greening level, price, and green innovation cost of logistics services, while both risk appetite and risk aversion can lead to an increase in the outsourcing price. Moreover, when the decision maker is risk neutral, the partner’s risk attitude has a significant effect on the value of the decision variables and the cost. Finally, the optimal profits of different risk preference behaviors between the LSI and LSP vary among the game models under fuzzy environments. Subsequently, we obtained three management insights. Total involvement and cooperation among participants were vital factors for an improvement in green management in the LSSC. Additionally, risk preference plays a key role in how LSSC participants make decisions under fuzzy environments. Additionally, a dominant position in the LSSC plays a crucial role in generating profit.

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Section: Application Of Game Theory and Decision Making Tools In Logisticsmentioning

confidence: 99%

Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments

Wang

2021

Sustainability

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“…Lately, Lai et al (2020) proposed a compromise programming model that obtains the best performing cloud outsourcing service provider alternative. Wang et al (2020) introduced a nonlinear mixed integer multi-objective programming model for 3PL provider selection and order allocation decision problems and then made use of genetic algorithm to convert multiobjective programming model into a single-objective model.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel integrated intuitionistic fuzzy decision aid for agile outsourcing provider selection: a COVID-19 pandemic-based scenario analysis

Göker

2021

Soft Comput

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In project management, agility concept has emerged for overcoming the limitations of traditional methodologies that are sequential and linear. An agile project contains planned processes as well as iterations. In global competitive areas, achieving agility in outsourcing processes enables the companies to cope with changes and dynamic issues. This paper introduces an integrated cognitive map-based intuitionistic fuzzy multiple criteria decision aid to rank agile outsourcing provider alternatives and then determine the best performing one. Intuitionistic fuzzy sets are employed for dealing with uncertain and vague data along with the loss of information that may be occurred in numerical operations with fuzzy numbers. Intuitionistic fuzzy cognitive map tool is used to weight the evaluation criteria that are interrelated with each other with causal links. The most appropriate agile outsourcing provider alternative is identified via intuitionistic fuzzy complex proportional assessment technique, which aims to obtain a solution relative to the ideal solution. In order to demonstrate the robustness of the proposed intuitionistic fuzzy decision aid, a case study is conducted in Turkish white goods industry. As a comparative study, a scenario analysis is provided to understand the impacts of COVID-19 pandemic on agile provider evaluation/selection decision. According to the results obtained from the scenario analysis, it is worth noting that home office procedures are appropriate for maintaining agility in outsourcing processes of project management.

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“…Based on the structure of logistics service supply chain, Guangsheng Zhang et al analyzed the evolution of risk and the reactions of major actors [26]. Wang et al established a nonlinear mixed integer multiobjective optimization model for service providers selection and order assignment in mass customization logistics service mode and designed an improved genetic algorithm based on the multilayer coding technique to solve the model [27]. Li et al constructed an evolutionary game model to explore the dynamic selection process of enterprise information synergy strategy in logistics service supply chain [28].…”

Section: Service Supply Chainmentioning

confidence: 99%

Research on the Incentive Mechanism of the Pension Service Supply Chain under Asymmetric Information

Xiao-hua

2021

Mathematical Problems in Engineering

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The information asymmetry between the pension service integrator and the pension service providers will affect the efficiency of the whole supply chain, and information sharing can solve this problem to a certain extent. To achieve information sharing, mutual trust is the first condition and mutual trust is also one of the important means of endogenous incentives. In this paper, the trust incentive coefficient is embedded in the principal-agent model. Considering the service capability coefficient, the communication degree coefficient, and the information sharing degree coefficient of the pension service providers, the trust incentive model of the supply chain of the pension service is constructed, the model is solved, and the conclusion is drawn. Finally, the correctness of the conclusion is verified by the numerical simulation using SAS software. The final results show that, under the condition of information asymmetry, the trust incentive coefficient of the pension service integrator to the pension service providers is positively correlated with the effort coefficient, the service capability coefficient, the communication coefficient, and the information sharing degree coefficient of the pension service providers, while it is positively correlated with the effort cost coefficient, the output sharing coefficient, and the risk aversion coefficient of the pension service providers. The variance of number and external environmental variables is negatively correlated. This research has shown that the trust is a means of incentive for pension service providers to share information. This research has a certain practical significance for improving the service efficiency of the pension services supply chain and optimizing the level of pension services.

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Multiobjective decisions for provider selection and order allocation considering the position of the CODP in a logistics service supply chain

Cited by 23 publications

References 52 publications

Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments

Green Logistics Service Supply Chain Games Considering Risk Preference in Fuzzy Environments

A novel integrated intuitionistic fuzzy decision aid for agile outsourcing provider selection: a COVID-19 pandemic-based scenario analysis

Research on the Incentive Mechanism of the Pension Service Supply Chain under Asymmetric Information

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