激励效用视角下考虑驾驶员满意度的物流配送车辆路径优化  

Optimization Approach to Vehicle Routing Considering Drivers’Satisfactionin Distribution from Perspective of Incentive Utility

作　　者：丁秋雷[1] 姜洋 胡祥培[3] 任明磊 DING Qiulei;JIANG Yang;HU Xiangpei;REN Minglei(School of Business Administration,Dongbei University of Finance and Economics,Dalian 116025,China;School of Mechanical Engineering,Dalian Jiaotong University,Dalian 116028,China;Institute of Systems Engineering,Dalian University of Technology,Dalian 116023,China)

机构地区：[1]东北财经大学工商管理学院,辽宁大连116025 [2]大连交通大学机械工程学院,辽宁大连116028 [3]大连理工大学系统工程研究所,辽宁大连116023

出　　处：《运筹与管理》2024年第12期1-8,共8页Operations Research and Management Science

基　　金：辽宁省社会科学规划基金重点项目(L24AGL011);辽宁省教育厅基本科研项目(JYTMS20230638)。

摘　　要：物流配送驾驶员是联系物流企业与客户的中间环节,在推进服务质量的提升上起着举足轻重的作用,然而目前对其满意度问题的研究不够深入,导致已有成果在实用性和科学性上具有较大的局限性。本文从激励效用的视角,通过提取影响驾驶员满意度的四个指标:协作配合、培训水平、薪酬福利和工作强度,客观上实现对驾驶员满意度的度量。进而构建兼顾配送成本和驾驶员满意度的多目标车辆路径优化模型,并利用改进蚁群算法进行求解。算例结果表明,本文虽然牺牲了一定的配送成本,但是驾驶员满意度和客户满意度均得到了一定程度的提升,这有利于提高服务质量和配送效率,进而增强企业的竞争力。With the rapid development of economic globalization and e-commerce,the logistics companies are paying more and more attention to the management of distribution process.Since the distribution driver is the intermediate link between companies and customers,who plays a pivotal role in improving service quality,optimizing distribution and consolidation becomes an increasingly significant research direction.However,existing studies mainly focus more on developing functions quantifying the distribution drivers’satisfaction by working time(or workload),than on which factors affect the satisfaction and which elements comprise them.Therefore,the aim of this paper is to study vehicle routing while considering the drivers’satisfaction in order to improve service quality and distribution efficiency,so that the companies providing such services would make informative decisions.The main contribution of this paper is as follows:(1)From the perspective of incentive utility,the utility function of the driver is constructed from four aspects:cooperation,training level,salary and work intensity,all of which are embedded into the vehicle routing problem.Considering the actual behavior in the distribution process and on the premise of achieving the customer’s satisfaction,a multi-objective vehicle routing optimization model is built taking into account costs and the satisfaction with drivers,which can motivate them to be filled with working enthusiasm,enriching and perfecting the theory system of logistics and distribution.(2)According to the solution requirements of the model,on the basis of strategies such as target node selection,search space reduction,random variation and integration of other algorithms,an improved ant colony optimization,IACO is proposed,which can effectively prevent partial optimization and greatly speed up the search process,so as to provide a new approach to vehicle routing optimization and a new tool for seeking the solution of NP-hard problem.IACO,improved ant colony optimization,improved genetic alg

关 键 词：物流配送 车辆路径 激励效用 驾驶员满意度 蚁群算法 

分 类 号：C935[经济管理—管理学]