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Incentive Contracts in Serial Stochastic Projects

机译:连续随机项目中的激励合同

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In this paper we propose an incentive payment contract for stochastic projects defined by a series of stages or tasks that are outsourced to independent subcontractors. Projects defined by sequentially completed independent stages are common in new product development and other high-risk projects. Our goal is to maximize the client's expected discounted profit. Our proposed contract reflects the convex time-cost trade-off that is well known in the project scheduling literature. We show that this type of contract dominates a fixed price contract with respect to expected client's profit and schedule performance, regardless of payment timing considerations. Using a piecewise linear approximation, we show that our contract is a generalization of an incentive/disincentive contract that is frequently used in practice. We show how our contract can be used to find the optimal due date and penalties/bonuses in an incentive/disincentive contract. We compare this contract with several variations and discuss implications for both the client and subcontractors.
机译:在本文中,我们为随机项目提出了激励性支付合同,该合同由一系列阶段或任务定义,这些阶段或任务已外包给独立的分包商。由顺序完成的独立阶段定义的项目在新产品开发和其他高风险项目中很常见。我们的目标是使客户的预期折现利润最大化。我们提出的合同反映了在项目进度安排文献中众所周知的凸出的时间成本折衷。我们证明,相对于预期客户的利润和进度表现,这种类型的合同在固定价格合同中占主导地位,而与付款时间的考虑无关。使用分段线性逼近,我们表明我们的合同是对激励/抑制性合同的概括,该合同在实践中经常使用。我们展示了如何在激励/禁止性合同中使用我们的合同找到最佳的到期日和罚款/奖金。我们将此合同与几种变体进行比较,并讨论对客户和分包商的影响。

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