| 运单体积不确定对货运共享平台定价决策的影响研究 |
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| 引用本文： | 李建斌,梅启煌,张蕊,戴宾.运单体积不确定对货运共享平台定价决策的影响研究[J].运筹与管理,2021,30(4):69-75. |
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| 作者姓名： | 李建斌 梅启煌 张蕊 戴宾 |
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| 作者单位： | 1.华中科技大学 管理学院,湖北 武汉 430074; 2.武汉大学 经济与管理学院,湖北 武汉 430072 |
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| 基金项目： | 国家自然科学基金重点项目(71831007);国家自然科学基金面上项目(72071085,71671133);国家自然科学基金重大研究计划的重点项目(91746206)。 |
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| 摘 要： | 货运共享平台订单分析显示顾客对运输货物申报的体积往往比实际体积偏大,平台则会按照客户申报的体积进行收费。本文站在平台利润视角,构建了考虑运单体积不确定的装载与配送路径联合优化模型来研究运单体积不确定对定价决策的影响,研究发现可以提升平台利润达24%。进一步,为了实现平台、顾客与司机的收益共享,并提高平台市场占有率,平台考虑在收费体积存在偏差的情况下,采用降价的策略与平台实际定价策略进行对比。通过数值分析发现,在存在体积偏差率的情况下,价格下降18%以内时,平台的利润呈现增长的趋势,最高可以达到23.26%;当价格下降超过18%时,平台利润出现负增长,因此不适合采取降价的措施。在降价过程中,顾客需要支付的成本最多可减少19.17%,司机的收益最多可增加13.82%,结果表明,采用新型分段定价策略可以更好的实现三方共赢,对平台的实际运营有一定的借鉴意义。
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| 关 键 词： | 零担业务 定价决策 收益共享 体积偏差率 遗传算法 |
| 收稿时间： | 2019-06-19 |
Impact of Shipping Order Volume Uncertainty on the Optimal Pricing Decisions of a Freight Sharing Platform |
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| LI Jian-bin,MEI Qi-huang,ZHANG Rui,DAI Bin.Impact of Shipping Order Volume Uncertainty on the Optimal Pricing Decisions of a Freight Sharing Platform[J].Operations Research and Management Science,2021,30(4):69-75. |
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| Authors: | LI Jian-bin MEI Qi-huang ZHANG Rui DAI Bin |
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| Affiliation: | 1. School of Management, Huazhong University of Science and Technology, Wuhan 430074, China; 2. School of Economics and Management, Wuhan University, Wuhan 430072, China |
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| Abstract: | Freight sharing platform order analysis reveals that if the volume of the customer's declaration of the transported goods is often larger than the actual volume,and the platform will charge according to the larger one.From the perspective of platform’s profit,this study establishes a joint optimization model of packing and vehicle routing problem considering the shipping order volume uncertainty,and studies the impact of volume uncertainty on the platform’s optimal pricing decisions,the results show that the platform’s profit has the potential to increaseby 24%.Further,in order to realize the revenue sharing among the platform,the customer and the driver,and increase the market share of the platform,the platform considers the strategy of price reduction to compare with the actual pricing strategy in the case of deviations in the charging volume.Through numerical analysis,it is found that in the case of the existence of volume deviation rate,when the price drops within 18%,the profit of the platform will increase,and the maximum can reach 23.26%.When the price drops by more than 18%,the platform profit will increase negatively,so it is not suitable for taking measures to reduce prices.In the process of price reduction,the cost of customers’payment can be reduced by up to 19.17%,and the driver’s income can be increased by up to 13.82%.The results show that the new segmentation pricing strategy can better achieve the three-way win-win situation and it has certain reference significance for the actual operations of the platform. |
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| Keywords: | LTL business price decision revenue share volume deviation rates genetic algorithm |
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