Dynamic coalition reformation for adaptive demand and capacity sharing

Seok, Hyesung; Nof, Shimon Y.

doi:10.1016/j.ijpe.2013.09.003

Cited by 33 publications

(8 citation statements)

References 32 publications

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“…Somewhat related is the idea of introducing additional flexibility to last-mile transport, e.g., via customer incentives, to reap benefits as proposed in . To increase flexibility, research could also consider opportunities of keeping coalitions dynamic, as proposed for general supply chain networks by Seok and Nof (2014). This would turn the formation of coalitions from a strategic to a tactical problem.…”

Section: Tactical Planningmentioning

confidence: 99%

Collaborative urban transportation: Recent advances in theory and practice

Cleophas

Cottrill

Ehmke

et al. 2019

European Journal of Operational Research

252

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This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Highlights • Comprehensive overview of OR approaches for collaborative urban transportation • Analyzes real-world collaborative transportation systems, assessing pros and cons • Research outlook for the emerging field of collaborative transport optimization

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Section: Tactical Planningmentioning

confidence: 99%

Collaborative urban transportation: Recent advances in theory and practice

Cleophas

Cottrill

Ehmke

et al. 2019

European Journal of Operational Research

252

View full text Add to dashboard Cite

show abstract

“…Wu and Chang (2007) presented a capacity trading method that have established a capacity-sharing partnership. Seok and Nof (2014) developed a collaborative demand and capacity sharing protocol that addressed long-term profitability for each manufacturer through distributed decision making. Yang et al (2017) designed different sharing contracts and concluded that such contracts are best applied under different scenarios.…”

Section: Literature Reviewmentioning

confidence: 99%

Capacity Sharing Strategy With Sustainable Revenue-Sharing Contracts

Chen

Shi

Liu

2021

Technological and Economic Development of Economy

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This paper develops a duopoly model to analyse capacity sharing strategy and the optimal revenue-sharing contract under a two-part tariff and examines the effects of capacity sharing, cost, and sharing charges in three scenarios. The paper uses the two-part tariff method and adds a more realistic assumption of incremental marginal costs to improve the research on capacity sharing strategies. The results show that capacity constraints affect the sustainable development of firms. A sustainable revenue-sharing contract can create a win-win situation for both firms and promote capacity sharing. Capacity sharing, cost, and the revenue-sharing rate have different impacts in different scenarios; the optimal revenue-sharing rate and fixed fee can be determined to maximise the profits of firms that share capacity. However, capacity sharing may not improve social welfare.

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“…Considering that each firm has an existing capacity and faces both fixed and variable costs in purchasing additional capacity, Yang and Anderson [5] compare the outcomes obtained in the scenarios where the firms simultaneously (or sequentially) make their expansion decisions and then simultaneously decide their production decisions. Seok and Nof [6] propose the capacity sharing model among independent and noncompetitive manufacturers. Wang et al [7] built a resource allocation model considering the credit of resource providers and adopted a case study of validating the model's effectiveness.…”

Section: Manufacturing Capacity Sharingmentioning

confidence: 99%

Profitability vs. Stability: The Choice of Trading Strategies in a Capacity Sharing Supply Chain

Han

Yao

2021

Discrete Dynamics in Nature and Society

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Supported by a third-party capacity sharing platform, manufacturers can share capacities with others to match the rapidly changing demand. Both the capacity requestor and the capacity provider can choose to seek or wait for matches, forming different trading strategies (capacity- and demand-driven strategies). Based on the game and chaos theories, this paper analyzes the preference of the capacity provider, the capacity requestor, and the capacity platform operator on different trading strategies from the aspects of profitability and stability. It finds that the platform operator values stability much more than profitability, although the latter may reach higher optimal expected profits. The preference of each supply chain member is influenced by the production cost, potential market size, and the limited capacity of the capacity requestor. A stable system can result in higher long-run profits than a profitable system. We further propose the all-win situation for the capacity provider, capacity requestor, and platform operator.

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Dynamic coalition reformation for adaptive demand and capacity sharing

Cited by 33 publications

References 32 publications

Collaborative urban transportation: Recent advances in theory and practice

Collaborative urban transportation: Recent advances in theory and practice

Capacity Sharing Strategy With Sustainable Revenue-Sharing Contracts

Profitability vs. Stability: The Choice of Trading Strategies in a Capacity Sharing Supply Chain

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