Kimseng Tieng, Supphakorn Sumetthapiwat, A. Dumrongsiri, C. Jeenanunta
{"title":"二维矩形断头台切料的启发式算法","authors":"Kimseng Tieng, Supphakorn Sumetthapiwat, A. Dumrongsiri, C. Jeenanunta","doi":"10.14457/TU.THE.2015.28","DOIUrl":null,"url":null,"abstract":"Two-Dimensional Rectangular Guillotine Cutting Stock Problem (2DRGCSP) is one of the most significant problems in the manufacturing industries. A set of small rectangular size of paper, aluminum rolls, glasses, fiber glasses, or plastic are required to cut from a set of big size rectangular sheet of its raw materials. A guillotine cut is used, where the sheet is cut from one side to another side without changing the direction of the blade to produce the strips. Then each strip is cut again to produce the small rectangular size of panels that match with the required size, and the number of the panels must satisfy with the demand. This paper presents the heuristic techniques to solve the cutting problems. The heuristic techniques create the good cutting patterns such that the waste of the sheets is minimized and demands for each panel are satisfied. There are five proposed heuristics, developed to solve this problem. They are 2D simple heuristic cutting (2DSHC), 2D horizontal construction (2DHC), 2D vertical construction (2DVC), 2D horizontal improvement (2DHI), and 2D vertical improvement (2DVI). The testing instances are created from the real problems in the Printed Circuit Board (PCB) Company. The results are presented and compared with column generation (CG) method. The proposed heuristics provide good cutting patterns with a comparable waste to the column generation method. Moreover, the heuristics can produce solutions in a short computational time even in the large size instances, where the column generation method cannot find the solution. Therefore, these proposed heuristics techniques are applicable to solve the 2DRGCSP in the industry where the solutions from the exact algorithms cannot be found.","PeriodicalId":42241,"journal":{"name":"Thailand Statistician","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2016-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Heuristics for Two-Dimensional Rectangular Guillotine Cutting Stock\",\"authors\":\"Kimseng Tieng, Supphakorn Sumetthapiwat, A. Dumrongsiri, C. Jeenanunta\",\"doi\":\"10.14457/TU.THE.2015.28\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two-Dimensional Rectangular Guillotine Cutting Stock Problem (2DRGCSP) is one of the most significant problems in the manufacturing industries. A set of small rectangular size of paper, aluminum rolls, glasses, fiber glasses, or plastic are required to cut from a set of big size rectangular sheet of its raw materials. A guillotine cut is used, where the sheet is cut from one side to another side without changing the direction of the blade to produce the strips. Then each strip is cut again to produce the small rectangular size of panels that match with the required size, and the number of the panels must satisfy with the demand. This paper presents the heuristic techniques to solve the cutting problems. The heuristic techniques create the good cutting patterns such that the waste of the sheets is minimized and demands for each panel are satisfied. There are five proposed heuristics, developed to solve this problem. They are 2D simple heuristic cutting (2DSHC), 2D horizontal construction (2DHC), 2D vertical construction (2DVC), 2D horizontal improvement (2DHI), and 2D vertical improvement (2DVI). The testing instances are created from the real problems in the Printed Circuit Board (PCB) Company. The results are presented and compared with column generation (CG) method. The proposed heuristics provide good cutting patterns with a comparable waste to the column generation method. Moreover, the heuristics can produce solutions in a short computational time even in the large size instances, where the column generation method cannot find the solution. Therefore, these proposed heuristics techniques are applicable to solve the 2DRGCSP in the industry where the solutions from the exact algorithms cannot be found.\",\"PeriodicalId\":42241,\"journal\":{\"name\":\"Thailand Statistician\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2016-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thailand Statistician\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.14457/TU.THE.2015.28\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thailand Statistician","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14457/TU.THE.2015.28","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
Heuristics for Two-Dimensional Rectangular Guillotine Cutting Stock
Two-Dimensional Rectangular Guillotine Cutting Stock Problem (2DRGCSP) is one of the most significant problems in the manufacturing industries. A set of small rectangular size of paper, aluminum rolls, glasses, fiber glasses, or plastic are required to cut from a set of big size rectangular sheet of its raw materials. A guillotine cut is used, where the sheet is cut from one side to another side without changing the direction of the blade to produce the strips. Then each strip is cut again to produce the small rectangular size of panels that match with the required size, and the number of the panels must satisfy with the demand. This paper presents the heuristic techniques to solve the cutting problems. The heuristic techniques create the good cutting patterns such that the waste of the sheets is minimized and demands for each panel are satisfied. There are five proposed heuristics, developed to solve this problem. They are 2D simple heuristic cutting (2DSHC), 2D horizontal construction (2DHC), 2D vertical construction (2DVC), 2D horizontal improvement (2DHI), and 2D vertical improvement (2DVI). The testing instances are created from the real problems in the Printed Circuit Board (PCB) Company. The results are presented and compared with column generation (CG) method. The proposed heuristics provide good cutting patterns with a comparable waste to the column generation method. Moreover, the heuristics can produce solutions in a short computational time even in the large size instances, where the column generation method cannot find the solution. Therefore, these proposed heuristics techniques are applicable to solve the 2DRGCSP in the industry where the solutions from the exact algorithms cannot be found.
期刊介绍:
Thailand Statistician is an international English language double blind peer reviewed journal which is published 2 times a year in January and July by the Thai Statistical Association. The journal main objective is to encourage research in statistics and related fields in order to support the need for new knowledge and techniques as called upon by other subject matters. In addition, the journal is dedicated to develop young researchers and teachers in the statistics and related disciplines and to provide them with an opportunity to pursue more advanced works. This Journal devoted to publish of original research papers, expository research and survey articles, and short research notes in pure and applied statistics, and other related fields in which statistical treatment is significantly involved.