{"title":"成本不确定性下基于绩效的合同设计:一种基于情景的双层规划方法","authors":"M. Sharifi, R. Kwon","doi":"10.1080/0013791X.2018.1467990","DOIUrl":null,"url":null,"abstract":"ABSTRACT This article considers a principal agent model for structuring a performance-based contract in the presence of fixed cost and cost-plus contracts. A scenario-based bilevel programming approach is considered to determine the values of key contract parameters. Additionally, the risk of cost uncertainty is considered in the model in the form of conditional value at risk (CVaR). The incorporation of risk of cost uncertainty can mitigate the impact of extreme events in the tail of the customer's total cost distribution. The numerical results find that at higher risk aversion levels, the customer is willing to pay more to the supplier and at the same time accept a smaller percentage of the shared cost between the supplier and the customer, which indicates the shift of the risk to the supplier. Although the customer is paying more in higher risk aversion levels, less cost is incurred in cases of realization of extreme events compared to the lower risk aversion levels. At lower risk aversion levels, the customer sets a smaller value of incentives for the supplier.","PeriodicalId":49210,"journal":{"name":"Engineering Economist","volume":"63 1","pages":"291 - 318"},"PeriodicalIF":1.0000,"publicationDate":"2018-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0013791X.2018.1467990","citationCount":"2","resultStr":"{\"title\":\"Performance-based contract design under cost uncertainty: A scenario-based bilevel programming approach\",\"authors\":\"M. Sharifi, R. Kwon\",\"doi\":\"10.1080/0013791X.2018.1467990\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This article considers a principal agent model for structuring a performance-based contract in the presence of fixed cost and cost-plus contracts. A scenario-based bilevel programming approach is considered to determine the values of key contract parameters. Additionally, the risk of cost uncertainty is considered in the model in the form of conditional value at risk (CVaR). The incorporation of risk of cost uncertainty can mitigate the impact of extreme events in the tail of the customer's total cost distribution. The numerical results find that at higher risk aversion levels, the customer is willing to pay more to the supplier and at the same time accept a smaller percentage of the shared cost between the supplier and the customer, which indicates the shift of the risk to the supplier. Although the customer is paying more in higher risk aversion levels, less cost is incurred in cases of realization of extreme events compared to the lower risk aversion levels. At lower risk aversion levels, the customer sets a smaller value of incentives for the supplier.\",\"PeriodicalId\":49210,\"journal\":{\"name\":\"Engineering Economist\",\"volume\":\"63 1\",\"pages\":\"291 - 318\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2018-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/0013791X.2018.1467990\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering Economist\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/0013791X.2018.1467990\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Economist","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/0013791X.2018.1467990","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
Performance-based contract design under cost uncertainty: A scenario-based bilevel programming approach
ABSTRACT This article considers a principal agent model for structuring a performance-based contract in the presence of fixed cost and cost-plus contracts. A scenario-based bilevel programming approach is considered to determine the values of key contract parameters. Additionally, the risk of cost uncertainty is considered in the model in the form of conditional value at risk (CVaR). The incorporation of risk of cost uncertainty can mitigate the impact of extreme events in the tail of the customer's total cost distribution. The numerical results find that at higher risk aversion levels, the customer is willing to pay more to the supplier and at the same time accept a smaller percentage of the shared cost between the supplier and the customer, which indicates the shift of the risk to the supplier. Although the customer is paying more in higher risk aversion levels, less cost is incurred in cases of realization of extreme events compared to the lower risk aversion levels. At lower risk aversion levels, the customer sets a smaller value of incentives for the supplier.
Engineering EconomistENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
2.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍:
The Engineering Economist is a refereed journal published jointly by the Engineering Economy Division of the American Society of Engineering Education (ASEE) and the Institute of Industrial and Systems Engineers (IISE). The journal publishes articles, case studies, surveys, and book and software reviews that represent original research, current practice, and teaching involving problems of capital investment.
The journal seeks submissions in a number of areas, including, but not limited to: capital investment analysis, financial risk management, cost estimation and accounting, cost of capital, design economics, economic decision analysis, engineering economy education, research and development, and the analysis of public policy when it is relevant to the economic investment decisions made by engineers and technology managers.