Route-Independent Analysis of Available Capacity in Flexible Manufacturing Systems
In a job shop, because of large setup times, each operation is assigned to only one machine. There is no alternative routing. In a flexible manufacturing system, each manufacturing operation can often be performed on several machines. Therefore, with automated equipment, the capacity of a machine to...
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Veröffentlicht in: | Production and operations management 2008-03, Vol.17 (2), p.211-223 |
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description | In a job shop, because of large setup times, each operation is assigned to only one machine. There is no alternative routing. In a flexible manufacturing system, each manufacturing operation can often be performed on several machines. Therefore, with automated equipment, the capacity of a machine to perform certain operations is not independent of the capacity of other machines. Often, however, operations managers can use a route‐independent answer to production planning questions. For example, how much can be produced of a certain part type and when are important capacity questions in business negotiations, when the detailed routing and scheduling are not yet of interest or cannot be known.
This paper provides a mathematical model for the route‐independent analysis of the capacity of flexible manufacturing systems based on a concept of operation types. An example is provided both to illustrate the use of operation types and to highlight the differences between the traditional route‐dependent and the proposed route‐independent formulations of capacity constraints. Some computational results are also given. Finally, a sensitivity analysis is developed to analyze the feasibility of production plans when production requirements and machine capacities can change. |
doi_str_mv | 10.3401/poms.1080.0017 |
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This paper provides a mathematical model for the route‐independent analysis of the capacity of flexible manufacturing systems based on a concept of operation types. An example is provided both to illustrate the use of operation types and to highlight the differences between the traditional route‐dependent and the proposed route‐independent formulations of capacity constraints. Some computational results are also given. Finally, a sensitivity analysis is developed to analyze the feasibility of production plans when production requirements and machine capacities can change.</description><identifier>ISSN: 1059-1478</identifier><identifier>EISSN: 1937-5956</identifier><identifier>DOI: 10.3401/poms.1080.0017</identifier><identifier>CODEN: POMAEN</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>aggregate production planning ; Analysis ; capacity analysis ; Decision making ; Flexible manufacturing systems ; Management ; Mathematical models ; Mathematical programming ; Numerical controls ; Production planning ; Sensitivity analysis ; Studies</subject><ispartof>Production and operations management, 2008-03, Vol.17 (2), p.211-223</ispartof><rights>2008 The Authors</rights><rights>2008 Production and Operations Management Society</rights><rights>COPYRIGHT 2008 John Wiley & Sons, Inc.</rights><rights>Copyright Production and Operations Management Society Mar/Apr 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5202-d43a9196f1c5a20354e4ca25c45c1357780b5fa713c38b03d38effaa8c0c01e73</citedby><cites>FETCH-LOGICAL-c5202-d43a9196f1c5a20354e4ca25c45c1357780b5fa713c38b03d38effaa8c0c01e73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.3401/poms.1080.0017$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.3401/poms.1080.0017$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,1411,21799,27903,27904,43600,43601,45553,45554</link.rule.ids></links><search><creatorcontrib>Koltai, Tamás</creatorcontrib><creatorcontrib>Stecke, Kathryn E.</creatorcontrib><title>Route-Independent Analysis of Available Capacity in Flexible Manufacturing Systems</title><title>Production and operations management</title><description>In a job shop, because of large setup times, each operation is assigned to only one machine. There is no alternative routing. In a flexible manufacturing system, each manufacturing operation can often be performed on several machines. Therefore, with automated equipment, the capacity of a machine to perform certain operations is not independent of the capacity of other machines. Often, however, operations managers can use a route‐independent answer to production planning questions. For example, how much can be produced of a certain part type and when are important capacity questions in business negotiations, when the detailed routing and scheduling are not yet of interest or cannot be known.
This paper provides a mathematical model for the route‐independent analysis of the capacity of flexible manufacturing systems based on a concept of operation types. An example is provided both to illustrate the use of operation types and to highlight the differences between the traditional route‐dependent and the proposed route‐independent formulations of capacity constraints. Some computational results are also given. Finally, a sensitivity analysis is developed to analyze the feasibility of production plans when production requirements and machine capacities can change.</description><subject>aggregate production planning</subject><subject>Analysis</subject><subject>capacity analysis</subject><subject>Decision making</subject><subject>Flexible manufacturing systems</subject><subject>Management</subject><subject>Mathematical models</subject><subject>Mathematical programming</subject><subject>Numerical controls</subject><subject>Production planning</subject><subject>Sensitivity analysis</subject><subject>Studies</subject><issn>1059-1478</issn><issn>1937-5956</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFkc1v1DAQxSMEEqXlyjmCI8oytuM4OS4LLZW2lLYgjtasd7xyyRd2As1_j6OtipBaKku2Nfq9efa8JHnFYCFyYO_6rgkLBiUsAJh6khywSqhMVrJ4Gu8gq4zlqnyevAjhGgCU4HCQXF5240DZabulnuLWDumyxXoKLqSdTZe_0NW4qSldYY_GDVPq2vS4phs3F8-wHS2aYfSu3aVXUxioCUfJM4t1oJe352Hy7fjj19WnbH1-crparjMjOfBsmwusWFVYZiRyEDKn3CCXJpeGCalUCRtpUTFhRLkBsRUlWYtYGjDASInD5PW-b--7nyOFQV93o4-PD5rzUhWlLFiE3uyhHdakXWu7waNpXDB6yVTFizgjHqnsHmpHLXmsu5asi-V_-MU9fFxbapz5n8D4LgRPVvfeNegnzUDP6ek5PT2np-f0okDsBb9jp-kRWn85P7uSYrZ5u1cF3NHfcTzocftrF3O7ufNA_0MXSiipv38-0fIDW7_nFyt9If4Av1C4hA</recordid><startdate>200803</startdate><enddate>200803</enddate><creator>Koltai, Tamás</creator><creator>Stecke, Kathryn E.</creator><general>Blackwell Publishing Ltd</general><general>SAGE Publications</general><general>John Wiley & Sons, Inc</general><general>Blackwell Publishers Inc</general><scope>BSCLL</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AO</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>200803</creationdate><title>Route-Independent Analysis of Available Capacity in Flexible Manufacturing Systems</title><author>Koltai, Tamás ; Stecke, Kathryn E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5202-d43a9196f1c5a20354e4ca25c45c1357780b5fa713c38b03d38effaa8c0c01e73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>aggregate production planning</topic><topic>Analysis</topic><topic>capacity analysis</topic><topic>Decision making</topic><topic>Flexible manufacturing systems</topic><topic>Management</topic><topic>Mathematical models</topic><topic>Mathematical programming</topic><topic>Numerical controls</topic><topic>Production planning</topic><topic>Sensitivity analysis</topic><topic>Studies</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Koltai, Tamás</creatorcontrib><creatorcontrib>Stecke, Kathryn E.</creatorcontrib><collection>Istex</collection><collection>CrossRef</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM global</collection><collection>One Business</collection><collection>ProQuest One Business (Alumni)</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 Basic</collection><collection>SIRS Editorial</collection><jtitle>Production and operations management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Koltai, Tamás</au><au>Stecke, Kathryn E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Route-Independent Analysis of Available Capacity in Flexible Manufacturing Systems</atitle><jtitle>Production and operations management</jtitle><date>2008-03</date><risdate>2008</risdate><volume>17</volume><issue>2</issue><spage>211</spage><epage>223</epage><pages>211-223</pages><issn>1059-1478</issn><eissn>1937-5956</eissn><coden>POMAEN</coden><abstract>In a job shop, because of large setup times, each operation is assigned to only one machine. There is no alternative routing. In a flexible manufacturing system, each manufacturing operation can often be performed on several machines. Therefore, with automated equipment, the capacity of a machine to perform certain operations is not independent of the capacity of other machines. Often, however, operations managers can use a route‐independent answer to production planning questions. For example, how much can be produced of a certain part type and when are important capacity questions in business negotiations, when the detailed routing and scheduling are not yet of interest or cannot be known.
This paper provides a mathematical model for the route‐independent analysis of the capacity of flexible manufacturing systems based on a concept of operation types. An example is provided both to illustrate the use of operation types and to highlight the differences between the traditional route‐dependent and the proposed route‐independent formulations of capacity constraints. Some computational results are also given. Finally, a sensitivity analysis is developed to analyze the feasibility of production plans when production requirements and machine capacities can change.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><doi>10.3401/poms.1080.0017</doi><tpages>13</tpages></addata></record> |
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subjects | aggregate production planning Analysis capacity analysis Decision making Flexible manufacturing systems Management Mathematical models Mathematical programming Numerical controls Production planning Sensitivity analysis Studies |
title | Route-Independent Analysis of Available Capacity in Flexible Manufacturing Systems |
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