Revenue allocation model for port cooperation with considering of risk and contribution
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摘要: 为了有效地激励港口之间实现联盟, 实现港口联盟成员的共赢, 考虑各港口在合作中的贡献及所承担的风险, 根据互惠互利原则、贡献收益相匹配原则和风险收益相匹配原则, 构建一个基于合作博弈的港口收益分配的非线性规划模型, 通过具体算例对模型进行了应用分析。分析结果表明: 由收益分配模型得到的各个港口的收益均高于各个港口单独经营所得到的收益, 各个港口的收益之和等于3个港口联盟体所得到的总收益, 因此, 规划模型能带来较高的经济效益, 并实现经济效益的合理分配。Abstract: In order to effectively stimulate the port cooperation and achieve the improvement of all individual ports' benefit, the contribution to cooperation and the risk in cooperation were considered, a nonlinear programming model was developed to design revenue allocation scheme in port cooperation according to the principles of mutual benefits, contribution-income matching, risk-income matching, a numerical example was given to demonstrate the effectiveness of the model. Analysis result shows that the individual port revenue obtained by the proposed model is greater than that when individual port operates separately, and the sum of individual port revenue is equal to the total revenue of three port cooperations, so the model can bring high economic benefit and realize the reasonable distribution of economic benefit.
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Key words:
- transportation economy /
- port cooperation /
- non-linear programming /
- risk revenue /
- contribution revenue
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表 1 各港口及港口联盟的最大需求
Table 1. Maximum demands for individual port and port alliance
港口联盟中的港口个数 港口联盟的最大需求 S=1 {1} {2} {3} 800 700 900 S=2 {1, 2} {1, 3} {2, 3} 1 300 1 300 1 400 S=3 {1, 2, 3} 1 800 
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表 2 各港口参数
Table 2. Parameters for individual port
港口 μi ηi ci ai bi di i=1 44 6 2.0 2 1.0 4 400 i=2 45 7 3.0 2 1.5 5 300 i=3 42 4 2.5 2 1.0 7 250
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表 3 最大收益
Table 3. Maximum revenues
港口联盟中的港口个数 港口联盟的最大收益 S=1 {1} {2} {3} 1 657.450 681.207 1 519.796 S=2 {1, 2} {1, 3} {2, 3} 5 565.056 5 481.043 6 052.684 S=3 {1, 2, 3} 12 267.640
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表 4 风险因子权重
Table 4. Risk factor weights
市场风险 港口自身风险 合作风险 外贸依存度 贸易摩擦大小 港口布局 投资回报率 建设周期 管理差异 地理差异 道德风险 0.5 0.5 0.4 0.3 0.3 0.4 0.2 0.4
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表 5 港口j对港口i的风险评估
Table 5. Risk evaluation in port i by port j
港口 i=1 i=2 i=3 合作风险 市场风险 港口自身风险 合作风险 市场风险 港口自身风险 合作风险 市场风险 港口自身风险 j=1 0.70 0.480 0.38 0.70 0.480 0.620 0.60 0.48 0.420 j=2 0.60 0.480 0.54 0.70 0.760 0.380 0.60 0.56 0.540 j=3 0.40 0.504 0.50 0.30 0.528 0.524 0.72 0.56 0.444
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表 6 各港口在不同结盟时的效用
Table 6. Utilities of different alliances for individual port
S′=1 获得票数 效用 S′=2 获得票数 效用 S′=3 获得票数 效用 {1} 2 0 {1, 2} 3 1 {1, 2, 3} 5 1 {2} 1 0 {1, 3} 4 1 {3} 2 0 {2, 3} 3 1
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[1] 戴建华, 薛恒新. 基于Shapley值法的动态联盟伙伴企业利益分配策略[J]. 中国管理科学, 2004, 12(4): 33-36. doi: 10.3321/j.issn:1003-207X.2004.04.007DAI Jian-hua, XUE Heng-xin. Shapley value based revenue allocation strategyfor dynamic alliance partner enterprise[J]. Management Science of China, 2004, 12(4): 33-36. (in Chi-nese). doi: 10.3321/j.issn:1003-207X.2004.04.007 [2] 陈雯, 张强. 基于模糊联盟合作博弈的企业联盟收益分配策略[J]. 北京理工大学学报, 2007, 27(8): 735-739. doi: 10.3969/j.issn.1001-0645.2007.08.018CHEN Wen, ZHANG Qiang. Enterprise alliance revenue allocation strategy based on fuzzy alliance cooperation game[J]. Journal of Beijing Institute of Technology, 2007, 27(8): 735-739. (in Chinese) doi: 10.3969/j.issn.1001-0645.2007.08.018 [3] 刘岩. 供应链环境下合作企业利益分配问题的研究[D]. 天津: 天津大学, 2001. [4] 陈菊红, 汪应洛, 孙林岩. 虚拟企业收益分配问题博弈研究[J]. 运筹与管理, 2002, 11(1): 11-16. doi: 10.3969/j.issn.1007-3221.2002.01.002CHENJu-hong, WANG Ying-luo, SUN Lin-yan. Research on the profit distribution gaming of virtual enterprise[J]. Operations Research and Management Science, 2002, 11(1): 11-16. (in Chinese) doi: 10.3969/j.issn.1007-3221.2002.01.002 [5] 柳键, 马士华. 供应链合作及其契约研究[J]. 管理工程学报, 2004, 18(1): 85-87. doi: 10.3969/j.issn.1004-6062.2004.01.021LI UJian, MA Shi-hua. Study on supply chain cooperation and contract[J]. Journal of Management Engineering, 2004, 18(1): 85-87. (in Chinese) doi: 10.3969/j.issn.1004-6062.2004.01.021 [6] 叶怀珍, 胡异杰. 供应链中合作伙伴收益原则研究[J]. 西南交通大学学报, 2004, 39(1): 30-33. doi: 10.3969/j.issn.0258-2724.2004.01.007YE Huai-zhen, HU Yi-jie. Research on benefit allocation among cooperative partners in supply chain[J]. Journal of Southwest Jiaotong University, 2004, 39(1): 30-33. (in Chinese) doi: 10.3969/j.issn.0258-2724.2004.01.007 [7] 潘会平, 陈荣秋. 供应链合作的利润分配机制研究[J]. 系统工程理论与实践, 2005, 25(6): 87-93. https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL200506014.htmPAN Hui-ping, CHEN Rong-qiu. Study on profit allocation mechanismfor supply chain cooperation[J]. Systems Engi-neering-Theory and Practice, 2005, 25(6): 87-93. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL200506014.htm [8] GERARD P, CACHON M, LARI VIERE A. Supply chain coordination with revenue-sharing contracts: strengths and li mitations[J]. Management Science, 2005, 51(1): 30-44. [9] 马士华, 王鹏. 基于Shapley值法的供应链合作伙伴间收益分配机制[J]. 工业工程与管理, 2006(4): 43-45. https://www.cnki.com.cn/Article/CJFDTOTAL-GYGC200604010.htmMA Shi-hua, WANG Peng. Shapley value based revenue allocation strategy for supply chain cooperation partner[J]. Industrial Engineering and Management, 2006(4): 43-45. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-GYGC200604010.htm [10] 张树义, 李肖军, 武振业. 试论企业战略联盟分配问题[J]. 系统工程理论方法应用, 2002, 11(3): 235-239. https://www.cnki.com.cn/Article/CJFDTOTAL-XTGL200203013.htmZHANG Shu-yi, LI Xiao-jun, WU Zhen-ye. Allocation for enterprise strategy alliance[J]. Systems Engineering: Theory Methods and Application, 2002, 11(3): 235-239. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTGL200203013.htm [11] 孙国强. 网络协作环境下的利益分配理论与模型[J]. 管理科学, 2003, 16(6): 22-25. https://www.cnki.com.cn/Article/CJFDTOTAL-JCJJ200306004.htmSUN Guo-qiang. Profit allocation theory and model under network cooperation environment[J]. Management Science, 2003, 16(6): 22-25. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-JCJJ200306004.htm [12] 冯蔚东, 陈剑. 虚拟企业中伙伴收益分配比例的确定[J]. 系统工程理论与实践, 2002, 22(4): 45-50. https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL200204007.htmFENG Wei-dong, CHEN Jian. Determination of revenue allocation ratio in virtual enterprise[J]. Systems Engineering-Theory and Practice, 2002, 22(4): 45-50. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XTLL200204007.htm -
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