A computer application for a bus body assembly line using Genetic Algorithms
This paper presents the implementation of a computer system in a bus body assembly line in Colombia, South America. The sequencing of the assembly line was formulated as a Resource Constraint Multi-Project Scheduling Problem. The proposed solution method was a classical Genetic Algorithm which was a...
Gespeichert in:
Veröffentlicht in: | International journal of production economics 2012-11, Vol.140 (1), p.431-438 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 438 |
---|---|
container_issue | 1 |
container_start_page | 431 |
container_title | International journal of production economics |
container_volume | 140 |
creator | Palencia, Alberto E Ramírez Delgadillo, Gonzalo E Mejía |
description | This paper presents the implementation of a computer system in a bus body assembly line in Colombia, South America. The sequencing of the assembly line was formulated as a Resource Constraint Multi-Project Scheduling Problem. The proposed solution method was a classical Genetic Algorithm which was adapted to handle the constraints of the production system. The algorithm is embedded into a computer application that calculates the weekly schedule. The implementation of the computer system, in use since 2007, has brought dramatic changes in the company. The percentage of on-time deliveries rose from 65% to 85% in about one and a half years. The improvements have happened not only in terms of numbers, but also in the organizational climate at the company. The senior management frequently adds new functionalities to the application and the system is becoming a small Materials Requirements Planning (MRP).
► Application of Genetic Algorithms in real life with proven improvements over the current practice. ► Modeling of an assembly line as a multi-project resource constraint scheduling problem. ► Integration of a scheduling algorithm in a Decision Support System to manage an assembly line. |
doi_str_mv | 10.1016/j.ijpe.2012.06.026 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1136567881</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S092552731200271X</els_id><sourcerecordid>2750677481</sourcerecordid><originalsourceid>FETCH-LOGICAL-c394t-bdf076d58ed94079adda1710c98bf7d1365e8a8f1ebfdea3f60f89ff5cfc065f3</originalsourceid><addsrcrecordid>eNp9kMFKxDAQhoMouK6-gKeAFy-tSbtNUvCyLLoKC170HNJksqa0TU1aYd_eLOvJg6dh4Pt_Zj6EbinJKaHsoc1dO0JeEFrkhOWkYGdoQQUvM17x-hwtSF1UWVXw8hJdxdgSQjgVYoF2a6x9P84TBKzGsXNaTc4P2Pq042aOuPHmgFWM0DfdAXduADxHN-zxFgaYnMbrbu-Dmz77eI0urOoi3PzOJfp4fnrfvGS7t-3rZr3LdFmvpqwxlnBmKgGmXhFeK2MU5ZToWjSWG1qyCoQSlkJjDajSMmJFbW2lrSassuUS3Z96x-C_ZoiT7F3U0HVqAD9HSY8VjAtBE3r3B239HIZ0naSk5IzzQpSJKk6UDj7GAFaOwfUqHBIkj4JlK4-C5VGwJEwmwSn0eApBevXbQZBROxg0GBdAT9J491_8B8ZXhKs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1037677283</pqid></control><display><type>article</type><title>A computer application for a bus body assembly line using Genetic Algorithms</title><source>Elsevier ScienceDirect Journals</source><creator>Palencia, Alberto E Ramírez ; Delgadillo, Gonzalo E Mejía</creator><creatorcontrib>Palencia, Alberto E Ramírez ; Delgadillo, Gonzalo E Mejía</creatorcontrib><description>This paper presents the implementation of a computer system in a bus body assembly line in Colombia, South America. The sequencing of the assembly line was formulated as a Resource Constraint Multi-Project Scheduling Problem. The proposed solution method was a classical Genetic Algorithm which was adapted to handle the constraints of the production system. The algorithm is embedded into a computer application that calculates the weekly schedule. The implementation of the computer system, in use since 2007, has brought dramatic changes in the company. The percentage of on-time deliveries rose from 65% to 85% in about one and a half years. The improvements have happened not only in terms of numbers, but also in the organizational climate at the company. The senior management frequently adds new functionalities to the application and the system is becoming a small Materials Requirements Planning (MRP).
► Application of Genetic Algorithms in real life with proven improvements over the current practice. ► Modeling of an assembly line as a multi-project resource constraint scheduling problem. ► Integration of a scheduling algorithm in a Decision Support System to manage an assembly line.</description><identifier>ISSN: 0925-5273</identifier><identifier>EISSN: 1873-7579</identifier><identifier>DOI: 10.1016/j.ijpe.2012.06.026</identifier><identifier>CODEN: IJPCEY</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Algorithms ; Assembly lines ; Bus body assembly ; Buses (vehicles) ; Delivery scheduling ; Economics ; Genetic Algorithm ; Genetic algorithms ; Materials requirement planning ; Operations research ; Production planning ; RCMPSP ; Resource scheduling ; Software ; Studies</subject><ispartof>International journal of production economics, 2012-11, Vol.140 (1), p.431-438</ispartof><rights>2012 Elsevier B.V.</rights><rights>Copyright Elsevier Sequoia S.A. Nov 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-bdf076d58ed94079adda1710c98bf7d1365e8a8f1ebfdea3f60f89ff5cfc065f3</citedby><cites>FETCH-LOGICAL-c394t-bdf076d58ed94079adda1710c98bf7d1365e8a8f1ebfdea3f60f89ff5cfc065f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S092552731200271X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Palencia, Alberto E Ramírez</creatorcontrib><creatorcontrib>Delgadillo, Gonzalo E Mejía</creatorcontrib><title>A computer application for a bus body assembly line using Genetic Algorithms</title><title>International journal of production economics</title><description>This paper presents the implementation of a computer system in a bus body assembly line in Colombia, South America. The sequencing of the assembly line was formulated as a Resource Constraint Multi-Project Scheduling Problem. The proposed solution method was a classical Genetic Algorithm which was adapted to handle the constraints of the production system. The algorithm is embedded into a computer application that calculates the weekly schedule. The implementation of the computer system, in use since 2007, has brought dramatic changes in the company. The percentage of on-time deliveries rose from 65% to 85% in about one and a half years. The improvements have happened not only in terms of numbers, but also in the organizational climate at the company. The senior management frequently adds new functionalities to the application and the system is becoming a small Materials Requirements Planning (MRP).
► Application of Genetic Algorithms in real life with proven improvements over the current practice. ► Modeling of an assembly line as a multi-project resource constraint scheduling problem. ► Integration of a scheduling algorithm in a Decision Support System to manage an assembly line.</description><subject>Algorithms</subject><subject>Assembly lines</subject><subject>Bus body assembly</subject><subject>Buses (vehicles)</subject><subject>Delivery scheduling</subject><subject>Economics</subject><subject>Genetic Algorithm</subject><subject>Genetic algorithms</subject><subject>Materials requirement planning</subject><subject>Operations research</subject><subject>Production planning</subject><subject>RCMPSP</subject><subject>Resource scheduling</subject><subject>Software</subject><subject>Studies</subject><issn>0925-5273</issn><issn>1873-7579</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kMFKxDAQhoMouK6-gKeAFy-tSbtNUvCyLLoKC170HNJksqa0TU1aYd_eLOvJg6dh4Pt_Zj6EbinJKaHsoc1dO0JeEFrkhOWkYGdoQQUvM17x-hwtSF1UWVXw8hJdxdgSQjgVYoF2a6x9P84TBKzGsXNaTc4P2Pq042aOuPHmgFWM0DfdAXduADxHN-zxFgaYnMbrbu-Dmz77eI0urOoi3PzOJfp4fnrfvGS7t-3rZr3LdFmvpqwxlnBmKgGmXhFeK2MU5ZToWjSWG1qyCoQSlkJjDajSMmJFbW2lrSassuUS3Z96x-C_ZoiT7F3U0HVqAD9HSY8VjAtBE3r3B239HIZ0naSk5IzzQpSJKk6UDj7GAFaOwfUqHBIkj4JlK4-C5VGwJEwmwSn0eApBevXbQZBROxg0GBdAT9J491_8B8ZXhKs</recordid><startdate>201211</startdate><enddate>201211</enddate><creator>Palencia, Alberto E Ramírez</creator><creator>Delgadillo, Gonzalo E Mejía</creator><general>Elsevier B.V</general><general>Elsevier Sequoia S.A</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TA</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>KR7</scope></search><sort><creationdate>201211</creationdate><title>A computer application for a bus body assembly line using Genetic Algorithms</title><author>Palencia, Alberto E Ramírez ; Delgadillo, Gonzalo E Mejía</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-bdf076d58ed94079adda1710c98bf7d1365e8a8f1ebfdea3f60f89ff5cfc065f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Assembly lines</topic><topic>Bus body assembly</topic><topic>Buses (vehicles)</topic><topic>Delivery scheduling</topic><topic>Economics</topic><topic>Genetic Algorithm</topic><topic>Genetic algorithms</topic><topic>Materials requirement planning</topic><topic>Operations research</topic><topic>Production planning</topic><topic>RCMPSP</topic><topic>Resource scheduling</topic><topic>Software</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Palencia, Alberto E Ramírez</creatorcontrib><creatorcontrib>Delgadillo, Gonzalo E Mejía</creatorcontrib><collection>CrossRef</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>International journal of production economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Palencia, Alberto E Ramírez</au><au>Delgadillo, Gonzalo E Mejía</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A computer application for a bus body assembly line using Genetic Algorithms</atitle><jtitle>International journal of production economics</jtitle><date>2012-11</date><risdate>2012</risdate><volume>140</volume><issue>1</issue><spage>431</spage><epage>438</epage><pages>431-438</pages><issn>0925-5273</issn><eissn>1873-7579</eissn><coden>IJPCEY</coden><abstract>This paper presents the implementation of a computer system in a bus body assembly line in Colombia, South America. The sequencing of the assembly line was formulated as a Resource Constraint Multi-Project Scheduling Problem. The proposed solution method was a classical Genetic Algorithm which was adapted to handle the constraints of the production system. The algorithm is embedded into a computer application that calculates the weekly schedule. The implementation of the computer system, in use since 2007, has brought dramatic changes in the company. The percentage of on-time deliveries rose from 65% to 85% in about one and a half years. The improvements have happened not only in terms of numbers, but also in the organizational climate at the company. The senior management frequently adds new functionalities to the application and the system is becoming a small Materials Requirements Planning (MRP).
► Application of Genetic Algorithms in real life with proven improvements over the current practice. ► Modeling of an assembly line as a multi-project resource constraint scheduling problem. ► Integration of a scheduling algorithm in a Decision Support System to manage an assembly line.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.ijpe.2012.06.026</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0925-5273 |
ispartof | International journal of production economics, 2012-11, Vol.140 (1), p.431-438 |
issn | 0925-5273 1873-7579 |
language | eng |
recordid | cdi_proquest_miscellaneous_1136567881 |
source | Elsevier ScienceDirect Journals |
subjects | Algorithms Assembly lines Bus body assembly Buses (vehicles) Delivery scheduling Economics Genetic Algorithm Genetic algorithms Materials requirement planning Operations research Production planning RCMPSP Resource scheduling Software Studies |
title | A computer application for a bus body assembly line using Genetic Algorithms |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-02T03%3A35%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20computer%20application%20for%20a%20bus%20body%20assembly%20line%20using%20Genetic%20Algorithms&rft.jtitle=International%20journal%20of%20production%20economics&rft.au=Palencia,%20Alberto%20E%20Ram%C3%ADrez&rft.date=2012-11&rft.volume=140&rft.issue=1&rft.spage=431&rft.epage=438&rft.pages=431-438&rft.issn=0925-5273&rft.eissn=1873-7579&rft.coden=IJPCEY&rft_id=info:doi/10.1016/j.ijpe.2012.06.026&rft_dat=%3Cproquest_cross%3E2750677481%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1037677283&rft_id=info:pmid/&rft_els_id=S092552731200271X&rfr_iscdi=true |