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Client-contractor bargaining on net present value in project schedulingudwith limited resources

机译:客户与承包商在项目进度中对净现值的讨价还价 ud资源有限

摘要

The client-contractor bargaining problem addressed here is in the context of a multi-mode resource constrained project scheduling problem with discounted cash flows, which is formulated as a progress payments model. In this model, the contractor receives payments from the client at predetermined regular time intervals. The last payment is paid at the first predetermined payment point right after project completion. The second payment model considered in this paper is the one with payments at activity completions. The project is represented on an Activity-on-Node (AON) project network. Activity durations are assumed to be deterministic. The project duration is bounded from above by a deadline imposed by the client, which constitutes a hard constraint. The bargaining objective is to maximize the bargaining objective function comprised of the objectives of both the client and the contractor. The bargaining objective function is expected to reflect the two-party nature of the problem environment and seeks a compromise between the client and the contractor. The bargaining power concept is introduced into the problem by the bargaining power weights used in the bargaining objective function. Simulated annealing algorithm and genetic algorithm approaches are proposed as solution procedures. The proposed solution methods are tested with respect to solution quality and solution times. Sensitivity analyses are conducted among different parameters used in the model, namely the profit margin, the discount rate, and the bargaining power weights.
机译:此处解决的客户与承包商的讨价还价问题是在现金流打折的多模式资源受限项目计划问题的背景下进行的,该问题被表述为进度付款模型。在这种模型中,承包商以预定的规则时间间隔从客户那里收到付款。项目完成后立即在第一个预定的付款点支付最后一笔付款。本文考虑的第二种付款模式是在活动完成时付款。该项目在节点活动(AON)项目网络上表示。活动持续时间假定为确定性的。项目工期从上方受客户规定的期限限制,这构成了严格的约束。谈判目标是使包括客户和承包商目标的谈判目标功能最大化。讨价还价的目标函数应反映问题环境的两方性质,并在客户和承包商之间寻求折衷方案。议价能力概念是通过议价目标函数中使用的议价能力权重引入问题的。提出了模拟退火算法和遗传算法方法作为求解过程。针对解决方案质量和解决方案时间对提出的解决方案方法进行了测试。在模型中使用的不同参数之间进行敏感性分析,即利润率,折现率和议价权重。

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