面向3PL动态物流联盟组建自动协商模型
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摘要
面对日益复杂和多变的市场环境,很多企业为了降低运营成本和提升自身的物流服务水平与市场竞争力,纷纷选择与3PL(third party logistics)进行联盟化运营,而当市场机遇出现时,如何构建动态物流联盟却成为困扰企业和3PL提供商的难题.在考虑联盟运营中的环境影响因素和各方的风险偏好与决策活动的基础上,提出了动态物流联盟组建的自动协商模型,并以联盟盟员的视角设计了自动协商的流程与让步策略,最后以煤炭动态物流联盟的组建为例进行了仿真实验,充分验证了模型和方法的有效性与合理性.
With respect to the increasing complexity and variation in the marketplace environment,many enterprises join dynamic logistics alliances with 3 PL( third-party logistics) providers to reduce operational costs and improve the logistics service level and their degree of competitiveness. However,as market opportunities emerge,it is not a straightforward task for enterprises to take part in dynamic logistics alliances with 3 PL providers. In this paper,considering the disparities among ally members with respect to business environmental issues and preferences regarding risk or decision making,we propose an automatic negotiation model for constructing effective dynamic logistics alliances. We also designed an automatic negotiation process and negotiation concession strategies based on member perspectives. Finally,we conducted a simulation experiment on a coal logistics scenario and demonstrate that the proposed model and processes are effective and efficient in building 3 PL-oriented dynamic logistics alliances.
With respect to the increasing complexity and variation in the marketplace environment,many enterprises join dynamic logistics alliances with 3 PL( third-party logistics) providers to reduce operational costs and improve the logistics service level and their degree of competitiveness. However,as market opportunities emerge,it is not a straightforward task for enterprises to take part in dynamic logistics alliances with 3 PL providers. In this paper,considering the disparities among ally members with respect to business environmental issues and preferences regarding risk or decision making,we propose an automatic negotiation model for constructing effective dynamic logistics alliances. We also designed an automatic negotiation process and negotiation concession strategies based on member perspectives. Finally,we conducted a simulation experiment on a coal logistics scenario and demonstrate that the proposed model and processes are effective and efficient in building 3 PL-oriented dynamic logistics alliances.
引文
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[15]Ying W,Dayong S. Multi-agent framework for third party logistics in E-commerce[J]. Expert Systems with Applications,2005,29(2):431-436.
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[17]Jennings N R,Faratin P,Lomuscio A R,et al. Automated negotiation:Prospects,methods and challenges[J]. Group Decision and Negotiation,2001,10(2):199-215.
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[19]尚安利,夏立.基于多Agent的船舶电力系统故障恢复方法[J].信息与控制,2015,44(6):759-768.Shang A L,Xia L. Multi-agent-based service restoration approach for shipboard power system[J]. Information and Control,2015,44(6):759-768.
[20]Rief D,Van Dinther C. Negotiation for cooperation in logistics networks:An experimental study[J]. Group Decision and Negotiation,2010,19(3):211-226.
[21]Robu V,Noot H,La PoutréH,et al. A multi-agent platform for auction-based allocation of loads in transportation logistics[J]. Expert Systems with Applications,2011,38(4):3483-3491.
[22]Park S,Yang S B. An efficient multilateral negotiation system for pervasive computing environments[J]. Engineering Applications of Artificial Intelligence,2008,21(4):633-643.
[23]杨道箭,齐二石,魏峰.顾客策略行为与风险偏好下供应链利润分享[J].管理科学学报,2011,12:50-59.Yang D J,Qi E S,Wei F. Supply chain profit sharing under strategic customer behavior and risk preference[J]. Journal of Management Sciences in China,2011,12:50-59.
[24]谭忠富,于超,姜海洋,等.煤炭供应商与发电商之间合约谈判风险收益平衡优化模型[J].系统工程理论与实践,2011,11:2108-2114.Tan Z F,Yu C,Jiang H Y,et al. Risk and benefit balance optimization models of contract negotiation between coal suppliers and power generators[J]. Systems Engineering-Theory&Practice,2011,11:2108-2114.
[25]Liu Q,Zhang C,Zhu K,et al. Novel multi-objective resource allocation and activity scheduling for fourth party logistics[J]. Computers&Operations Research,2014,44:42-51.
[26]Hagen B,Simonsen I,Hofmann M,et al. A multivariate markov weather model for O&M simulation of offshore wind parks[J]. Energy Procedia,2013,35:137-147.
[2] Marasco A. Third-party logistics:A literature review[J]. International Journal of Production Economics,2008,113(1):127-147.
[3]徒君,黄敏,薄桂华.第四方物流研究综述[J].系统工程,2013,12:53-59.Tu J,Huang M,Bo G H. A review of research on fourth party logistics[J]. Systems Engineering,2013,12:53-59.
[4]徒君,黄敏.基于契约设计的第四方物流质量风险管理[J].信息与控制,2014,43(3):276-281.Tu J,Huang M. Contract design based quality risk management for fourth party logistics[J]. Information and Control,2014,43(3):276-281.
[5] Chen F,Wang H,Xie Y,et al. An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse[J]. Journal of Intelligent Manufacturing,2016,27(2):389-408.
[6] Chen F,Wang H,Qi C,et al. An ant colony optimization routing algorithm for two order pickers with congestion consideration[J]. Computers&Industrial Engineering,2013,66(1):77-85.
[7]丁绒,孙延明.基于触发策略的企业动态联盟利益分配博弈[J].系统工程,2013,10:55-61.Ding R,Sun Y M. Profit allocation game in dynamic alliances based on the trigger strategy[J]. Systems Engineering,2013,10:55-61.
[8] Mortensen O,Lemoine O W. Integration between manufacturers and third party logistics providers?[J]. International Journal of Operations&Production Management,2008,28(4):331-359.
[9] Jayaram J,Tan K C. Supply chain integration with third-party logistics providers[J]. International Journal of Production Economics,2010,125(2):262-271.
[10]张源凯,黄敏芳,胡祥培.网上超市订单分配与物流配送联合优化方法[J].系统工程学报,2015,2:251-258.Zhang Y K,Huang M F,Hu X P. Integrated optimization approach to order allocation and delivery problem of online supermarket[J]. Systems Engineering and Electronics,2015,2:251-258.
[11]Büyük9zkan G,Feyzio4ˇglu O,Nebol E. Selection of the strategic alliance partner in logistics value chain[J]. International Journal of Production Economics,2008,113(1):148-158.
[12]Aguezzoul A. Third-party logistics selection problem:A literature review on criteria and methods[J]. Omega,2014,49:69-78.
[13]Hamdan A,Rogers K J J. Evaluating the efficiency of 3PL logistics operations[J]. International Journal of Production Economics,2008,113(1):235-244.
[14]Liu C L,Lyons A C. An analysis of third-party logistics performance and service provision[J]. Transportation Research Part E:Logistics and Transportation Review,2011,47(4):547-570.
[15]Ying W,Dayong S. Multi-agent framework for third party logistics in E-commerce[J]. Expert Systems with Applications,2005,29(2):431-436.
[16]Beam C,Segev A,Automated negotiations:A survey of the state of the art[J]. Wirtschaftsinformatik,1997,39(3):263-268.
[17]Jennings N R,Faratin P,Lomuscio A R,et al. Automated negotiation:Prospects,methods and challenges[J]. Group Decision and Negotiation,2001,10(2):199-215.
[18]Li M,Vo Q B,Kowalczyk R,et al. Automated negotiation in open and distributed environments[J]. Expert Systems with Applications,2013,40(15):6195-6212.
[19]尚安利,夏立.基于多Agent的船舶电力系统故障恢复方法[J].信息与控制,2015,44(6):759-768.Shang A L,Xia L. Multi-agent-based service restoration approach for shipboard power system[J]. Information and Control,2015,44(6):759-768.
[20]Rief D,Van Dinther C. Negotiation for cooperation in logistics networks:An experimental study[J]. Group Decision and Negotiation,2010,19(3):211-226.
[21]Robu V,Noot H,La PoutréH,et al. A multi-agent platform for auction-based allocation of loads in transportation logistics[J]. Expert Systems with Applications,2011,38(4):3483-3491.
[22]Park S,Yang S B. An efficient multilateral negotiation system for pervasive computing environments[J]. Engineering Applications of Artificial Intelligence,2008,21(4):633-643.
[23]杨道箭,齐二石,魏峰.顾客策略行为与风险偏好下供应链利润分享[J].管理科学学报,2011,12:50-59.Yang D J,Qi E S,Wei F. Supply chain profit sharing under strategic customer behavior and risk preference[J]. Journal of Management Sciences in China,2011,12:50-59.
[24]谭忠富,于超,姜海洋,等.煤炭供应商与发电商之间合约谈判风险收益平衡优化模型[J].系统工程理论与实践,2011,11:2108-2114.Tan Z F,Yu C,Jiang H Y,et al. Risk and benefit balance optimization models of contract negotiation between coal suppliers and power generators[J]. Systems Engineering-Theory&Practice,2011,11:2108-2114.
[25]Liu Q,Zhang C,Zhu K,et al. Novel multi-objective resource allocation and activity scheduling for fourth party logistics[J]. Computers&Operations Research,2014,44:42-51.
[26]Hagen B,Simonsen I,Hofmann M,et al. A multivariate markov weather model for O&M simulation of offshore wind parks[J]. Energy Procedia,2013,35:137-147.