{"title":"一种求解一致车辆路径问题的精确方法","authors":"L. Barros, R. Linfati, J. Escobar","doi":"10.14743/apem2020.3.363","DOIUrl":null,"url":null,"abstract":"This paper proposes a mathematical model for the Consistent Vehicle Routing Problem (ConVRP). The ConVRP is an extension of the VRP, considering customer satisfaction through consistent service. The consistency may be based on time or on the vehicle that offers the service. This paper proposes a novel mathematical model that allows solving the ConVRP for several companies for which visits to the customers need to be from the same service provider (namely, the same vehicle and driver). The efficiency of the model is tested on structured instances by changing customer distribution (uniform or clustered), depot location, and arrival time to the customer and re‐ moving certain constraints to see if they affect the performance of the objective function. The mathematical model is flexible and could be adapted to any characteristic of instances. The model was devel‐ oped in the AMPL programming language and solved with the solvers CPLEX and Gurobi. The results are promising based on the efficiency of the proposed method at solving the problem. This paper proposes a mathematical mixed‐integer linear programming model to solve the ConVRP. The proposed model can determine the total travel time of a vehicle fleet for a certain number of specific days, which routes should be taken by each vehicle per day, and the vehicles' arrival time for each customer. The mathematical model was tested on structured instances by analyzing changes to aspects such as customer distribution (uniform or clustered), depot loca‐ tion, arrival time at the customer, and removing certain constraints that affect the performance of the objective function. The model was developed in the AMPL programming language and solved with the solvers CPLEX and Gurobi. Although a mathematical model for the ConVRP at‐ tracts growing attention due to the few studies related to the problem. The mathematical struc‐ ture of the model is novel, and to the best of the author's knowledge, this is the first time a model for the ConVRP solves real and structured instances for companies that provide a consistent service over time, such as courier companies, elderly care service companies, and cleaning sec‐ tors, under realistic constraints.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2020-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"An exact approach for the consistent vehicle routing problem (ConVRP)\",\"authors\":\"L. Barros, R. Linfati, J. Escobar\",\"doi\":\"10.14743/apem2020.3.363\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a mathematical model for the Consistent Vehicle Routing Problem (ConVRP). The ConVRP is an extension of the VRP, considering customer satisfaction through consistent service. The consistency may be based on time or on the vehicle that offers the service. This paper proposes a novel mathematical model that allows solving the ConVRP for several companies for which visits to the customers need to be from the same service provider (namely, the same vehicle and driver). The efficiency of the model is tested on structured instances by changing customer distribution (uniform or clustered), depot location, and arrival time to the customer and re‐ moving certain constraints to see if they affect the performance of the objective function. The mathematical model is flexible and could be adapted to any characteristic of instances. The model was devel‐ oped in the AMPL programming language and solved with the solvers CPLEX and Gurobi. The results are promising based on the efficiency of the proposed method at solving the problem. This paper proposes a mathematical mixed‐integer linear programming model to solve the ConVRP. The proposed model can determine the total travel time of a vehicle fleet for a certain number of specific days, which routes should be taken by each vehicle per day, and the vehicles' arrival time for each customer. The mathematical model was tested on structured instances by analyzing changes to aspects such as customer distribution (uniform or clustered), depot loca‐ tion, arrival time at the customer, and removing certain constraints that affect the performance of the objective function. The model was developed in the AMPL programming language and solved with the solvers CPLEX and Gurobi. Although a mathematical model for the ConVRP at‐ tracts growing attention due to the few studies related to the problem. The mathematical struc‐ ture of the model is novel, and to the best of the author's knowledge, this is the first time a model for the ConVRP solves real and structured instances for companies that provide a consistent service over time, such as courier companies, elderly care service companies, and cleaning sec‐ tors, under realistic constraints.\",\"PeriodicalId\":48763,\"journal\":{\"name\":\"Advances in Production Engineering & Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2020-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Production Engineering & Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.14743/apem2020.3.363\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, MANUFACTURING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Production Engineering & Management","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.14743/apem2020.3.363","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
An exact approach for the consistent vehicle routing problem (ConVRP)
This paper proposes a mathematical model for the Consistent Vehicle Routing Problem (ConVRP). The ConVRP is an extension of the VRP, considering customer satisfaction through consistent service. The consistency may be based on time or on the vehicle that offers the service. This paper proposes a novel mathematical model that allows solving the ConVRP for several companies for which visits to the customers need to be from the same service provider (namely, the same vehicle and driver). The efficiency of the model is tested on structured instances by changing customer distribution (uniform or clustered), depot location, and arrival time to the customer and re‐ moving certain constraints to see if they affect the performance of the objective function. The mathematical model is flexible and could be adapted to any characteristic of instances. The model was devel‐ oped in the AMPL programming language and solved with the solvers CPLEX and Gurobi. The results are promising based on the efficiency of the proposed method at solving the problem. This paper proposes a mathematical mixed‐integer linear programming model to solve the ConVRP. The proposed model can determine the total travel time of a vehicle fleet for a certain number of specific days, which routes should be taken by each vehicle per day, and the vehicles' arrival time for each customer. The mathematical model was tested on structured instances by analyzing changes to aspects such as customer distribution (uniform or clustered), depot loca‐ tion, arrival time at the customer, and removing certain constraints that affect the performance of the objective function. The model was developed in the AMPL programming language and solved with the solvers CPLEX and Gurobi. Although a mathematical model for the ConVRP at‐ tracts growing attention due to the few studies related to the problem. The mathematical struc‐ ture of the model is novel, and to the best of the author's knowledge, this is the first time a model for the ConVRP solves real and structured instances for companies that provide a consistent service over time, such as courier companies, elderly care service companies, and cleaning sec‐ tors, under realistic constraints.
期刊介绍:
Advances in Production Engineering & Management (APEM journal) is an interdisciplinary international academic journal published quarterly. The main goal of the APEM journal is to present original, high quality, theoretical and application-oriented research developments in all areas of production engineering and production management to a broad audience of academics and practitioners. In order to bridge the gap between theory and practice, applications based on advanced theory and case studies are particularly welcome. For theoretical papers, their originality and research contributions are the main factors in the evaluation process. General approaches, formalisms, algorithms or techniques should be illustrated with significant applications that demonstrate their applicability to real-world problems. Please note the APEM journal is not intended especially for studying problems in the finance, economics, business, and bank sectors even though the methodology in the paper is quality/project management oriented. Therefore, the papers should include a substantial level of engineering issues in the field of manufacturing engineering.