Design of a feature-based order acceptance and scheduling module in an ERP system
•Addresses order customization acceptance in collaborative production.•Uses a finer information grain level, i.e., at multi-facet feature modeling level.•A new customer feature used to handle dynamic and complicated customer requirement.•Proposes a framework for ERP unifying product and process mode...
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Veröffentlicht in: | Computers in industry 2014-01, Vol.65 (1), p.64-78 |
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creator | Wei, Jingxing Ma, Y.-S. |
description | •Addresses order customization acceptance in collaborative production.•Uses a finer information grain level, i.e., at multi-facet feature modeling level.•A new customer feature used to handle dynamic and complicated customer requirement.•Proposes a framework for ERP unifying product and process models.•Prototype module within a commercial ERP system is designed.
Customer-oriented manufacturing competes on timely responses to customer requirements, and precise scheduling control for delivery. This challenge demands engineering design and production planning to be fully integrated via advanced enterprise resource planning (ERP) systems. This paper proposes a generic feature association method and a detailed framework that can unify product and process models in order to satisfy customer orders with small batch sizes and high variations. A conceptual solution is introduced by integrating two traditionally separate feature domains: design configuration features and manufacturing process features. To achieve the proposed method, a customer feature class is suggested for the characterization of customers’ profiles related to the manufacturer. An instantiated customer feature object functionally tracks each customer’s selection of product configurations related to its requirements, specific orders, and production schedules with dynamic associations to the live manufacturing capacity. With the new associative integration method, a preliminary order acceptance system (OAS) prototype system has been implemented within an ERP order management system and its conceptual structure model is demonstrated within a multi-facet feature framework. |
doi_str_mv | 10.1016/j.compind.2013.07.009 |
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Customer-oriented manufacturing competes on timely responses to customer requirements, and precise scheduling control for delivery. This challenge demands engineering design and production planning to be fully integrated via advanced enterprise resource planning (ERP) systems. This paper proposes a generic feature association method and a detailed framework that can unify product and process models in order to satisfy customer orders with small batch sizes and high variations. A conceptual solution is introduced by integrating two traditionally separate feature domains: design configuration features and manufacturing process features. To achieve the proposed method, a customer feature class is suggested for the characterization of customers’ profiles related to the manufacturer. An instantiated customer feature object functionally tracks each customer’s selection of product configurations related to its requirements, specific orders, and production schedules with dynamic associations to the live manufacturing capacity. With the new associative integration method, a preliminary order acceptance system (OAS) prototype system has been implemented within an ERP order management system and its conceptual structure model is demonstrated within a multi-facet feature framework.</description><identifier>ISSN: 0166-3615</identifier><identifier>EISSN: 1872-6194</identifier><identifier>DOI: 10.1016/j.compind.2013.07.009</identifier><identifier>CODEN: CINUD4</identifier><language>eng</language><publisher>Kidlington: Elsevier B.V</publisher><subject>Applied sciences ; Computer aided design ; Computer science; control theory; systems ; Control systems ; Customer feature ; Design engineering ; Enterprise resource planning ; ERP ; Exact sciences and technology ; Feature-based informatics ; Information systems. Data bases ; Manufacturing ; Mechanical engineering. Machine design ; Memory organisation. Data processing ; Order acceptance and scheduling ; Order entry ; Production planning ; Scheduling ; Software ; Studies ; Unified feature modeling</subject><ispartof>Computers in industry, 2014-01, Vol.65 (1), p.64-78</ispartof><rights>2013 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright Elsevier Sequoia S.A. Jan 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c367t-abcb91b91cc1725c8d786b6c16dfdd1fd9372861939e36ef926f7e9d96443c4c3</citedby><cites>FETCH-LOGICAL-c367t-abcb91b91cc1725c8d786b6c16dfdd1fd9372861939e36ef926f7e9d96443c4c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compind.2013.07.009$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,4024,27923,27924,27925,45995</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27979260$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Wei, Jingxing</creatorcontrib><creatorcontrib>Ma, Y.-S.</creatorcontrib><title>Design of a feature-based order acceptance and scheduling module in an ERP system</title><title>Computers in industry</title><description>•Addresses order customization acceptance in collaborative production.•Uses a finer information grain level, i.e., at multi-facet feature modeling level.•A new customer feature used to handle dynamic and complicated customer requirement.•Proposes a framework for ERP unifying product and process models.•Prototype module within a commercial ERP system is designed.
Customer-oriented manufacturing competes on timely responses to customer requirements, and precise scheduling control for delivery. This challenge demands engineering design and production planning to be fully integrated via advanced enterprise resource planning (ERP) systems. This paper proposes a generic feature association method and a detailed framework that can unify product and process models in order to satisfy customer orders with small batch sizes and high variations. A conceptual solution is introduced by integrating two traditionally separate feature domains: design configuration features and manufacturing process features. To achieve the proposed method, a customer feature class is suggested for the characterization of customers’ profiles related to the manufacturer. An instantiated customer feature object functionally tracks each customer’s selection of product configurations related to its requirements, specific orders, and production schedules with dynamic associations to the live manufacturing capacity. With the new associative integration method, a preliminary order acceptance system (OAS) prototype system has been implemented within an ERP order management system and its conceptual structure model is demonstrated within a multi-facet feature framework.</description><subject>Applied sciences</subject><subject>Computer aided design</subject><subject>Computer science; control theory; systems</subject><subject>Control systems</subject><subject>Customer feature</subject><subject>Design engineering</subject><subject>Enterprise resource planning</subject><subject>ERP</subject><subject>Exact sciences and technology</subject><subject>Feature-based informatics</subject><subject>Information systems. Data bases</subject><subject>Manufacturing</subject><subject>Mechanical engineering. Machine design</subject><subject>Memory organisation. Data processing</subject><subject>Order acceptance and scheduling</subject><subject>Order entry</subject><subject>Production planning</subject><subject>Scheduling</subject><subject>Software</subject><subject>Studies</subject><subject>Unified feature modeling</subject><issn>0166-3615</issn><issn>1872-6194</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkNtKAzEQhoMoWKuPIATEy12TzTZprkRqPUDBA3od0smkprS7NdkV-vamtHhrCGQg38yffIRcclZyxuXNsoR2vQmNKyvGRclUyZg-IgM-VlUhua6PySBzshCSj07JWUpLlpdSckDe7jGFRUNbTy31aLs-YjG3CR1to8NILQBuOtsAUts4muALXb8KzYKu21wgDU2-oNP3V5q2qcP1OTnxdpXw4nAOyefD9GPyVMxeHp8nd7MChFRdYecw1zxvAK6qEYydGsu5BC6dd457p4Wqxvn1QqOQ6HUlvULttKxrATWIIbnaz93E9rvH1Jll28cmRxpej7TSQkidqdGegtimFNGbTQxrG7eGM7OzZ5bmYM_s7BmmTLaX-64P020Cu_IxGwjpr7lSOaCSLHO3ew7zV38CRpMgYLblQkTojGvDP0m_oUKHfg</recordid><startdate>201401</startdate><enddate>201401</enddate><creator>Wei, Jingxing</creator><creator>Ma, Y.-S.</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Sequoia S.A</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201401</creationdate><title>Design of a feature-based order acceptance and scheduling module in an ERP system</title><author>Wei, Jingxing ; Ma, Y.-S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c367t-abcb91b91cc1725c8d786b6c16dfdd1fd9372861939e36ef926f7e9d96443c4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Computer aided design</topic><topic>Computer science; control theory; systems</topic><topic>Control systems</topic><topic>Customer feature</topic><topic>Design engineering</topic><topic>Enterprise resource planning</topic><topic>ERP</topic><topic>Exact sciences and technology</topic><topic>Feature-based informatics</topic><topic>Information systems. Data bases</topic><topic>Manufacturing</topic><topic>Mechanical engineering. Machine design</topic><topic>Memory organisation. Data processing</topic><topic>Order acceptance and scheduling</topic><topic>Order entry</topic><topic>Production planning</topic><topic>Scheduling</topic><topic>Software</topic><topic>Studies</topic><topic>Unified feature modeling</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wei, Jingxing</creatorcontrib><creatorcontrib>Ma, Y.-S.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Computers in industry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wei, Jingxing</au><au>Ma, Y.-S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of a feature-based order acceptance and scheduling module in an ERP system</atitle><jtitle>Computers in industry</jtitle><date>2014-01</date><risdate>2014</risdate><volume>65</volume><issue>1</issue><spage>64</spage><epage>78</epage><pages>64-78</pages><issn>0166-3615</issn><eissn>1872-6194</eissn><coden>CINUD4</coden><abstract>•Addresses order customization acceptance in collaborative production.•Uses a finer information grain level, i.e., at multi-facet feature modeling level.•A new customer feature used to handle dynamic and complicated customer requirement.•Proposes a framework for ERP unifying product and process models.•Prototype module within a commercial ERP system is designed.
Customer-oriented manufacturing competes on timely responses to customer requirements, and precise scheduling control for delivery. This challenge demands engineering design and production planning to be fully integrated via advanced enterprise resource planning (ERP) systems. This paper proposes a generic feature association method and a detailed framework that can unify product and process models in order to satisfy customer orders with small batch sizes and high variations. A conceptual solution is introduced by integrating two traditionally separate feature domains: design configuration features and manufacturing process features. To achieve the proposed method, a customer feature class is suggested for the characterization of customers’ profiles related to the manufacturer. An instantiated customer feature object functionally tracks each customer’s selection of product configurations related to its requirements, specific orders, and production schedules with dynamic associations to the live manufacturing capacity. With the new associative integration method, a preliminary order acceptance system (OAS) prototype system has been implemented within an ERP order management system and its conceptual structure model is demonstrated within a multi-facet feature framework.</abstract><cop>Kidlington</cop><pub>Elsevier B.V</pub><doi>10.1016/j.compind.2013.07.009</doi><tpages>15</tpages></addata></record> |
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subjects | Applied sciences Computer aided design Computer science control theory systems Control systems Customer feature Design engineering Enterprise resource planning ERP Exact sciences and technology Feature-based informatics Information systems. Data bases Manufacturing Mechanical engineering. Machine design Memory organisation. Data processing Order acceptance and scheduling Order entry Production planning Scheduling Software Studies Unified feature modeling |
title | Design of a feature-based order acceptance and scheduling module in an ERP system |
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