Roberto Andrés Alcívar Espín, Y. Chou, Ching-Chi Huang
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Two-part tariff contract design for a supplier base: a unifying methodology
Conventional contract designs largely aim to coordinate decisions in dyadic relationships. In the new era of network environments and near-zero variable costs for many goods and services, a different approach to contract design is required for two reasons. First, offering a set of contracts to multiple contractors of different objectives, sizes, and business practices will allow each to choose the most suitable contract. Second, given that most previous studies have not considered quasi-fixed costs, it is helpful to understand two-part tariff contracts and their variants for a supplier base, new variants based on quasi-fixed costs, and related decision sequences between the parties in a supply chain. We propose a unifying methodology to set the contract parameters so that the different variants will have comparable performance outcomes. The results and the insights gained suggest that the proposed methodology should improve a retailer’s management of its supplier base and also benefit all parties throughout the supply chain.
期刊介绍:
The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.