Design optimization of resource combination for collaborative logistics network under uncertainty

Xiang, Xu; Hao, Jun; Deng, Yong; Wang, Yong

doi:10.1016/j.asoc.2016.07.036

Cited by 69 publications

(27 citation statements)

References 33 publications

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“…How these changes impact the NEV market and supply chain decision-making is an important area for future research. In addition, for some uncertain factors in the supply chain network such as partner selection and resource allocation [22,23], it is also worth studying to implement effective decision-making and risk control from the perspective of the large system composed of NEVs and traditional vehicles.…”

Section: Discussionmentioning

confidence: 99%

Supply-Chain Pricing and Coordination for New Energy Vehicles Considering Heterogeneity in Consumers’ Low Carbon Preference

2020

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Given consumers' willingness to pay different prices for new energy vehicles (NEVs) and traditional vehicles, we construct a utility model of ordinary and green consumers. We establish pricing game models for centralized and decentralized decisions in an NEV's supply chain in order to study the impact of changes in consumers' low carbon preference heterogeneity on supply chain pricing and member profit. The results show that consumers' low carbon preferences and the ratio of green consumers increases with the ex-factory and selling prices of NEVs. An increase in the percentage of green consumers under centralized decision-making will reduce the total profit of the supply chain. Manufacturers' profits under decentralized decision-making are greater than the dealers' profits, and the sum of the two members' profits under decentralized decision-making is less than the total profit of the supply chain under centralized decision-making. We design a revenue-sharing contract to eliminate the double marginal effect.

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Section: Discussionmentioning

confidence: 99%

Supply-Chain Pricing and Coordination for New Energy Vehicles Considering Heterogeneity in Consumers’ Low Carbon Preference

2020

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“…() said to this respect that “according to the respondents the most severe impediments for cooperation are the problems of finding a reliable party that can coordinate the cooperation in such a way that all participants are satisfied.” Mathematically, we can identify the coalition formation to a well‐known problem called the partitioning problem, where we must split a set into disjoint subsets (Aumann and Dreze, ). The collaboration literature usually tackles the coalition formation problem from a cost reduction point of view using OR/Game Theory tools (Lozano et al., ; Guajardo and Rönnqvist, ; Jouida et al., ; Xu et al., ). Game theory is used to describe how different partners would act depending on other people's actions.…”

Section: A Taxonomy For the Practical Issuesmentioning

confidence: 99%

A survey on obstacles and difficulties of practical implementation of horizontal collaboration in logistics

Basso

D’Amours

Rönnqvist

et al. 2018

Int Trans Operational Res

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During recent years, horizontal collaboration in logistics has gained attention because of achieved potential benefits such as cost reduction, an increase in fulfillment rates, and a decrease in CO2 emissions owing to reductions in traveled distances. Successful real‐world cases, however, are rare since horizontal cooperation in logistics is not usually sustainable. This paper pays attention to this paradox of the lack of cases and discusses 16 identified practical issues that could explain this phenomenon. We propose a taxonomy composed of four categories categorizing the practical issues according to a value chain approach: design, planning and operations, market/business, and behaviors. Furthermore, we propose and discuss some measures to mitigate these problems.

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“…In particular, the knowledge resources modeling through multidomain ontology, distributed index, and service encapsulate has been well recognized. In the subsequent studies, knowledge semantic retrieval [7], extended algorithm [8], and word segmentation model [9] are used to propose the knowledge retrieval model that can meet the goal of innovative design, and the prototype system is built [10].…”

Section: Related Workmentioning

confidence: 99%

“…Product 3D model browsing C 34 Vehicle spectrum C 35 Vehicle configuration C 36 Maintenance history C 37 Assembly maintenance C 38 Troubleshooting C 39 Diagnosing trouble C 310 Illustrating product C 311 Installation and dismantling tutorials C 312 Training course C 4 Staff C 5 Organization C 61 Software resources C 62 Hardware resources C 63 Environment of application service C 71 Training of maintenance 10 Complexity system for auto parts in Sichuan Truck Manufacture Plant Co., Ltd., where the architecture is divided into 5 layers including service interface layer, web service layer, business logic, data access layer, and building method layer. In addition, the information transformation and data exchange of component composition algorithm were obtained by using XML.…”

Section: (13)mentioning

confidence: 99%

An Optimal Composition Strategy for Knowledge Service Component Based on Flexible Tracking Particle Swarm Algorithm

et al. 2019

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It is urgent to combine knowledge resources with manufacturing business processes to form a knowledge service in the cloud mode, so as to provide intelligent support for business activities in product development process. e main challenge of knowledge resource service, however, is how to rapidly construct the complex resource service system and respond promptly to the changeable service requirements in the business process, which is similar to the software system modeling using a component in software engineering. is paper is concerned with an optimal composition framework (OCF) of knowledge resource service, including service decomposition, component encapsulation, and optimal composition. Firstly, the typical business processes are decomposed into the dynamic knowledge element (DKE), and all kinds of knowledge resources and service behaviors are encapsulated into the reusable resource service components (RSC). en, a multicomponent optimal composition mathematical model is presented, which transforms the problem of component composition into a multiobjective optimization problem. On this basis, a heuristic algorithm with the adaptive mutation probability is introduced to composite the multigranularity service component dynamically and robustly. Finally, the case of component composition for maintenance resource service is studied and the simulation results are provided to verify the e cacy of the proposed model and algorithms.

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Design optimization of resource combination for collaborative logistics network under uncertainty

Cited by 69 publications

References 33 publications

Supply-Chain Pricing and Coordination for New Energy Vehicles Considering Heterogeneity in Consumers’ Low Carbon Preference

Supply-Chain Pricing and Coordination for New Energy Vehicles Considering Heterogeneity in Consumers’ Low Carbon Preference

A survey on obstacles and difficulties of practical implementation of horizontal collaboration in logistics

An Optimal Composition Strategy for Knowledge Service Component Based on Flexible Tracking Particle Swarm Algorithm

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