{"title":"Application the Facility Location Model for Setting Ready-Mix Concrete Plant: Case Study at Rayong Province, Thailand","authors":"S. Doungpan","doi":"10.1109/ICIEA49774.2020.9101949","DOIUrl":null,"url":null,"abstract":"The economic growth in Thailand has occurred in many areas, there are the infrastructure and megaprojects are produced by the government and the private sector. Although, the construction project favors to use the ready-mixed concrete for main structures work. But the facility's location of the ready-mix concrete plant exists in the area is not suitably distributed for responding service at the demand point. However, it caused damage to the business because there was not a good plan for setting up the ready- mixed concrete plant facilities. The objective of this paper is to find the least number of the ready-mix concrete plant and it can be suitably the facility location that covers all expected demand nodes. The method used for searching locations of this work is the optimization modeling by using mixed integer programming with a set covering problem (LSCP) approach. Besides, we applicated this problem in Rayong province, Thailand, which is cased our study. The results indicate that setting ready-mix concrete plants at Mueang Rayong district and Klaeng district can sufficiently service the whole Rayong province.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIEA49774.2020.9101949","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The economic growth in Thailand has occurred in many areas, there are the infrastructure and megaprojects are produced by the government and the private sector. Although, the construction project favors to use the ready-mixed concrete for main structures work. But the facility's location of the ready-mix concrete plant exists in the area is not suitably distributed for responding service at the demand point. However, it caused damage to the business because there was not a good plan for setting up the ready- mixed concrete plant facilities. The objective of this paper is to find the least number of the ready-mix concrete plant and it can be suitably the facility location that covers all expected demand nodes. The method used for searching locations of this work is the optimization modeling by using mixed integer programming with a set covering problem (LSCP) approach. Besides, we applicated this problem in Rayong province, Thailand, which is cased our study. The results indicate that setting ready-mix concrete plants at Mueang Rayong district and Klaeng district can sufficiently service the whole Rayong province.