Multi-project scheduling using an heuristic and a genetic algorithm
Managing multiple projects is a complex task. It involves the integration of varieties of resources and schedules. The researchers have proposed many tools and techniques for single project scheduling. Mathematical programming and heuristics are limited in application. In recent years non-traditiona...
Gespeichert in:
| Veröffentlicht in: | International journal of advanced manufacturing technology 2006-11, Vol.31 (3-4), p.360-366 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 366 |
|---|---|
| container_issue | 3-4 |
| container_start_page | 360 |
| container_title | International journal of advanced manufacturing technology |
| container_volume | 31 |
| creator | Kumanan, S. Jegan Jose, G. Raja, K. |
| description | Managing multiple projects is a complex task. It involves the integration of varieties of resources and schedules. The researchers have proposed many tools and techniques for single project scheduling. Mathematical programming and heuristics are limited in application. In recent years non-traditional techniques are attempted for scheduling. This paper proposes the use of a heuristic and a genetic algorithm for scheduling a multi-project environment with an objective to minimize the makespan of the projects. The proposed method is validated with numerical examples and is found competent. |
| doi_str_mv | 10.1007/s00170-005-0199-2 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2262519401</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2262519401</sourcerecordid><originalsourceid>FETCH-LOGICAL-c273t-df50686859f65d164a80341df6257c3b86f4fbc6132743acb032e689b6e1366b3</originalsourceid><addsrcrecordid>eNotkE1PwzAMhiMEEmPwA7hV4hyw49ZNj2jiSxriAueoTZOtU9eOpD3w78kYF1uv9Oi19Qhxi3CPAOVDBMASJEAhAatKqjOxwJxIEmBxLhagWEsqWV-Kqxh3iWZkvRCr97mfOnkI487ZKYt269q574ZNNsfjrIds6-bQxamzKbRZnW3c4P5SvxlDN2331-LC1310N_97Kb6enz5Xr3L98fK2elxLq0qaZOsLYM26qDwXLXJea6AcW8-qKC01mn3uG8tIqsyptg2Qcqyrhh0Sc0NLcXfqTd9-zy5OZjfOYUgnjVKpBKscMFF4omwYYwzOm0Po9nX4MQjm6MqcXJnkyhxdGUW_LydbHw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2262519401</pqid></control><display><type>article</type><title>Multi-project scheduling using an heuristic and a genetic algorithm</title><source>SpringerLink Journals - AutoHoldings</source><creator>Kumanan, S. ; Jegan Jose, G. ; Raja, K.</creator><creatorcontrib>Kumanan, S. ; Jegan Jose, G. ; Raja, K.</creatorcontrib><description>Managing multiple projects is a complex task. It involves the integration of varieties of resources and schedules. The researchers have proposed many tools and techniques for single project scheduling. Mathematical programming and heuristics are limited in application. In recent years non-traditional techniques are attempted for scheduling. This paper proposes the use of a heuristic and a genetic algorithm for scheduling a multi-project environment with an objective to minimize the makespan of the projects. The proposed method is validated with numerical examples and is found competent.</description><identifier>ISSN: 0268-3768</identifier><identifier>EISSN: 1433-3015</identifier><identifier>DOI: 10.1007/s00170-005-0199-2</identifier><language>eng</language><publisher>Heidelberg: Springer Nature B.V</publisher><subject>Genetic algorithms ; Mathematical programming ; Production scheduling ; Project management ; Schedules ; Scheduling</subject><ispartof>International journal of advanced manufacturing technology, 2006-11, Vol.31 (3-4), p.360-366</ispartof><rights>The International Journal of Advanced Manufacturing Technology is a copyright of Springer, (2006). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c273t-df50686859f65d164a80341df6257c3b86f4fbc6132743acb032e689b6e1366b3</citedby><cites>FETCH-LOGICAL-c273t-df50686859f65d164a80341df6257c3b86f4fbc6132743acb032e689b6e1366b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Kumanan, S.</creatorcontrib><creatorcontrib>Jegan Jose, G.</creatorcontrib><creatorcontrib>Raja, K.</creatorcontrib><title>Multi-project scheduling using an heuristic and a genetic algorithm</title><title>International journal of advanced manufacturing technology</title><description>Managing multiple projects is a complex task. It involves the integration of varieties of resources and schedules. The researchers have proposed many tools and techniques for single project scheduling. Mathematical programming and heuristics are limited in application. In recent years non-traditional techniques are attempted for scheduling. This paper proposes the use of a heuristic and a genetic algorithm for scheduling a multi-project environment with an objective to minimize the makespan of the projects. The proposed method is validated with numerical examples and is found competent.</description><subject>Genetic algorithms</subject><subject>Mathematical programming</subject><subject>Production scheduling</subject><subject>Project management</subject><subject>Schedules</subject><subject>Scheduling</subject><issn>0268-3768</issn><issn>1433-3015</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNotkE1PwzAMhiMEEmPwA7hV4hyw49ZNj2jiSxriAueoTZOtU9eOpD3w78kYF1uv9Oi19Qhxi3CPAOVDBMASJEAhAatKqjOxwJxIEmBxLhagWEsqWV-Kqxh3iWZkvRCr97mfOnkI487ZKYt269q574ZNNsfjrIds6-bQxamzKbRZnW3c4P5SvxlDN2331-LC1310N_97Kb6enz5Xr3L98fK2elxLq0qaZOsLYM26qDwXLXJea6AcW8-qKC01mn3uG8tIqsyptg2Qcqyrhh0Sc0NLcXfqTd9-zy5OZjfOYUgnjVKpBKscMFF4omwYYwzOm0Po9nX4MQjm6MqcXJnkyhxdGUW_LydbHw</recordid><startdate>200611</startdate><enddate>200611</enddate><creator>Kumanan, S.</creator><creator>Jegan Jose, G.</creator><creator>Raja, K.</creator><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>200611</creationdate><title>Multi-project scheduling using an heuristic and a genetic algorithm</title><author>Kumanan, S. ; Jegan Jose, G. ; Raja, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c273t-df50686859f65d164a80341df6257c3b86f4fbc6132743acb032e689b6e1366b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Genetic algorithms</topic><topic>Mathematical programming</topic><topic>Production scheduling</topic><topic>Project management</topic><topic>Schedules</topic><topic>Scheduling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumanan, S.</creatorcontrib><creatorcontrib>Jegan Jose, G.</creatorcontrib><creatorcontrib>Raja, K.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal of advanced manufacturing technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kumanan, S.</au><au>Jegan Jose, G.</au><au>Raja, K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-project scheduling using an heuristic and a genetic algorithm</atitle><jtitle>International journal of advanced manufacturing technology</jtitle><date>2006-11</date><risdate>2006</risdate><volume>31</volume><issue>3-4</issue><spage>360</spage><epage>366</epage><pages>360-366</pages><issn>0268-3768</issn><eissn>1433-3015</eissn><abstract>Managing multiple projects is a complex task. It involves the integration of varieties of resources and schedules. The researchers have proposed many tools and techniques for single project scheduling. Mathematical programming and heuristics are limited in application. In recent years non-traditional techniques are attempted for scheduling. This paper proposes the use of a heuristic and a genetic algorithm for scheduling a multi-project environment with an objective to minimize the makespan of the projects. The proposed method is validated with numerical examples and is found competent.</abstract><cop>Heidelberg</cop><pub>Springer Nature B.V</pub><doi>10.1007/s00170-005-0199-2</doi><tpages>7</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0268-3768 |
| ispartof | International journal of advanced manufacturing technology, 2006-11, Vol.31 (3-4), p.360-366 |
| issn | 0268-3768 1433-3015 |
| language | eng |
| recordid | cdi_proquest_journals_2262519401 |
| source | SpringerLink Journals - AutoHoldings |
| subjects | Genetic algorithms Mathematical programming Production scheduling Project management Schedules Scheduling |
| title | Multi-project scheduling using an heuristic and a genetic algorithm |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T07%3A29%3A19IST&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=Multi-project%20scheduling%20using%20an%20heuristic%20and%20a%20genetic%20algorithm&rft.jtitle=International%20journal%20of%20advanced%20manufacturing%20technology&rft.au=Kumanan,%20S.&rft.date=2006-11&rft.volume=31&rft.issue=3-4&rft.spage=360&rft.epage=366&rft.pages=360-366&rft.issn=0268-3768&rft.eissn=1433-3015&rft_id=info:doi/10.1007/s00170-005-0199-2&rft_dat=%3Cproquest_cross%3E2262519401%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=2262519401&rft_id=info:pmid/&rfr_iscdi=true |