考虑各方满意度的工程总分包商合作收益动态分配研究
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摘要
合理的收益分配是总分包商建立长期伙伴关系、实现合作共赢的关键。在充分考虑各方的努力水平、风险分担、贡献系数等因素的基础上,提出分阶段激励约束机制及满意度另一优化目标,构建多目标收益分配模型。运用多目标优化理论与粒子群算法相结合的方式求解得到项目净收益和整体满意度的最优解集。通过算例分阶段对项目各方进行评价,以激励各方持续努力地工作,结论表明在净收益增大的同时,整体的满意度值将会表现出减小趋势,总承包商和分包商合作团队可根据项目净收益和整体满意度的实际情况选择合适的分配方案,继而促进总分包商的成功合作。
A reasonable profit distribution mechanism is the key to establishing long-term partnership and achieving win-win cooperation between contractor and the subcontractor. On the basis of fully considering the factors,such as efforts of all parties,risk sharing,and contribution coefficient,the staged incentive and restraint mechanism and another optimization goal of satisfaction are proposed,and a multi-objective income dynamic allocation model is established. The project net income and optimal solution set of overall satisfaction are obtained by combining multi-objective optimization theory with particle swarm optimization. In order to encourage all parties to work continuously,all parties in the project are evaluated in stages through examples. The conclusions show that as the net income increases,the overall satisfaction value decreases. The general contracting and subcontractor cooperation can select the appropriate distribution plan according to the actual situation of the project's net income and overall satisfaction,and then promote the successful cooperation between the two parties.
A reasonable profit distribution mechanism is the key to establishing long-term partnership and achieving win-win cooperation between contractor and the subcontractor. On the basis of fully considering the factors,such as efforts of all parties,risk sharing,and contribution coefficient,the staged incentive and restraint mechanism and another optimization goal of satisfaction are proposed,and a multi-objective income dynamic allocation model is established. The project net income and optimal solution set of overall satisfaction are obtained by combining multi-objective optimization theory with particle swarm optimization. In order to encourage all parties to work continuously,all parties in the project are evaluated in stages through examples. The conclusions show that as the net income increases,the overall satisfaction value decreases. The general contracting and subcontractor cooperation can select the appropriate distribution plan according to the actual situation of the project's net income and overall satisfaction,and then promote the successful cooperation between the two parties.
引文
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[3]管百海,胡培.联合体工程总承包商的收益分配机制[J].系统工程,2008,26(11):94-98.
[4]管百海.工程总承包商与分包商的收益分配研究[J].铁道工程学报,2010,27(3):123-127.
[5]张云,吕萍,宋吟秋.总承包工程建设供应链利润分配模型研究[J].中国管理科学,2011,19(4):98-104.
[6]胡文发,朱言,何新华.工程项目承包商多层次利益分配与激励机制[J].同济大学学报(自然科学版),2014,42(9):1437-1443.
[7]吕俊娜,刘伟,邹庆,等.考虑公平关切的工程总承包合作利益分配模型[J].系统工程,2014,32(12):62-66.
[8]张洪波,侯嫚嫚.考虑风险偏好与公平关切的设计施工总承包联合体优化收益分配[J].土木工程与管理学报,2017,34(6):102-108.
[9]王茹,王柳舒.BIM技术下IPD项目团队激励池分配研究[J].科技管理研究,2017,37(13):196-204.
[10]王茹,王柳舒.基于IMOCS算法的IPD团队激励池动态分配问题研究[J].计算机工程与应用.2017(4):1-10.
[11]Sarlak R,Nookabadi A.Synchronization in multi-echelon supply chain applying timing discount[J].International Journal of Advanced Manufacturing Technology,2012,59(1/4):289.
[12]蔡建峰,杨敏,刘丽华.基于Pareto遗传算法的虚拟企业收益分配优化研究[J].预测,2007(1):55-58,69.
[13]浦培根,吕文学,刘涧.工程项目突发事件知识联盟利益分配研究[J].系统工程学报,2013,28(4):562-570.
[14]Yang X S.Cuckoo search via levy flights[C]//proceedings of world congress on nature&biologically inspired computing,india.Usa:ieee publication,2009,210-214.
[15]Coello C C A,Van Veldhuizen D A,Lamont GB.Evolutionary Algorithms for Solving Multi-Objective Problems[M].Norwell:Kluwer,2002.
[16]Reyes-Sierra M,Coello Coello C A.Multi-objective particle swarm optimizers:A survey of the state-of-the-art[J].International Journal of Computational Intelligence Research,2006,2(3):287-308.
[17]Kennedy J,Eberhart R C.A discrete binary version of the particle swarm algorithm[C].Proceedings of the 1997Conference on Systems,Man,and Cybernetics,Orando,1997.
[18]王维博,冯全源.基于改进粒子群算法的工程项目综合优化[J].西南交通大学学报,2011.2.