{"title":"考虑协同制造能力和服务效益的多目标制造基地选址模型优化","authors":"J. Sun, Q. Zhang, Y. Yu","doi":"10.14743/APEM2021.1.388","DOIUrl":null,"url":null,"abstract":"Improving customer satisfaction and shortening the manufacturing cycle have become common concerns of current manufacturers. This paper presents a multi‐objective location model considering the maximization of collaborative manufacturing capabilities and service benefits. This method first uses the two dimensions of customer share and market consumption to segment cus‐ tomers, and identify the weight of various customer groups. Secondly, the space vector model (VSM) is used to calculate the matching between manu‐ facturing capabilities and manufacturing requirements. Then build a multi‐ objective location model based on the two goals of collaborative manufactur‐ ing capabilities and service benefits. Finally, the model was tested with simu‐ lation data, which proved the validity and feasibility of the model. According to the simulation results, managers can accurately select the optimal manu‐ facturing base from multiple candidate manufacturing bases with regard to less costs, shorter lead times, better manufacturing capabilities, better service benefits. In this paper, Fuzzy theory, Logit model and VSM are combined to salve the problem of manufacturing base location. Considering resources and service benefits of each manufacturing base, it is helpful to optimize the loca‐ tion of enterprises. From the academic and practical points, this study pro‐ vides a new perspective for the location problem.","PeriodicalId":48763,"journal":{"name":"Advances in Production Engineering & Management","volume":"28 1","pages":"112-124"},"PeriodicalIF":2.8000,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimization of a multi-objective location model of manufacturing base considering cooperative manufacturing capabilities and service benefits\",\"authors\":\"J. Sun, Q. Zhang, Y. Yu\",\"doi\":\"10.14743/APEM2021.1.388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Improving customer satisfaction and shortening the manufacturing cycle have become common concerns of current manufacturers. This paper presents a multi‐objective location model considering the maximization of collaborative manufacturing capabilities and service benefits. This method first uses the two dimensions of customer share and market consumption to segment cus‐ tomers, and identify the weight of various customer groups. Secondly, the space vector model (VSM) is used to calculate the matching between manu‐ facturing capabilities and manufacturing requirements. Then build a multi‐ objective location model based on the two goals of collaborative manufactur‐ ing capabilities and service benefits. Finally, the model was tested with simu‐ lation data, which proved the validity and feasibility of the model. According to the simulation results, managers can accurately select the optimal manu‐ facturing base from multiple candidate manufacturing bases with regard to less costs, shorter lead times, better manufacturing capabilities, better service benefits. In this paper, Fuzzy theory, Logit model and VSM are combined to salve the problem of manufacturing base location. Considering resources and service benefits of each manufacturing base, it is helpful to optimize the loca‐ tion of enterprises. From the academic and practical points, this study pro‐ vides a new perspective for the location problem.\",\"PeriodicalId\":48763,\"journal\":{\"name\":\"Advances in Production Engineering & Management\",\"volume\":\"28 1\",\"pages\":\"112-124\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2021-03-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Production Engineering & Management\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.14743/APEM2021.1.388\",\"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/APEM2021.1.388","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}
Optimization of a multi-objective location model of manufacturing base considering cooperative manufacturing capabilities and service benefits
Improving customer satisfaction and shortening the manufacturing cycle have become common concerns of current manufacturers. This paper presents a multi‐objective location model considering the maximization of collaborative manufacturing capabilities and service benefits. This method first uses the two dimensions of customer share and market consumption to segment cus‐ tomers, and identify the weight of various customer groups. Secondly, the space vector model (VSM) is used to calculate the matching between manu‐ facturing capabilities and manufacturing requirements. Then build a multi‐ objective location model based on the two goals of collaborative manufactur‐ ing capabilities and service benefits. Finally, the model was tested with simu‐ lation data, which proved the validity and feasibility of the model. According to the simulation results, managers can accurately select the optimal manu‐ facturing base from multiple candidate manufacturing bases with regard to less costs, shorter lead times, better manufacturing capabilities, better service benefits. In this paper, Fuzzy theory, Logit model and VSM are combined to salve the problem of manufacturing base location. Considering resources and service benefits of each manufacturing base, it is helpful to optimize the loca‐ tion of enterprises. From the academic and practical points, this study pro‐ vides a new perspective for the location problem.
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.