Function block design for adaptive execution control of job shop machining operations
Small volume and high product mix contribute greatly to the complexity of job shop operations. In addition, shop floor uncertainty or fluctuation is another issue regularly challenging manufacturing companies, including job delay, urgent job insertion, fixture shortage, missing tools, and even machi...
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Veröffentlicht in: | International journal of production research 2009-01, Vol.47 (12), p.3413-3434 |
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container_title | International journal of production research |
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creator | Wang, Lihui Feng, Hsi-Yung Song, Changjin Jin, Wei |
description | Small volume and high product mix contribute greatly to the complexity of job shop operations. In addition, shop floor uncertainty or fluctuation is another issue regularly challenging manufacturing companies, including job delay, urgent job insertion, fixture shortage, missing tools, and even machine breakdown. Targeting the uncertainty, we propose a function block-based approach to generating adaptive process plans. Enabled by the function blocks, a so-generated process plan is responsive and tolerant to an unpredictable change. This paper presents in detail how a function block is designed and what it can do during process plan execution. It is expected that this new approach can largely enhance the dynamism of fluctuating job shop operations. |
doi_str_mv | 10.1080/00207540701666212 |
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It is expected that this new approach can largely enhance the dynamism of fluctuating job shop operations.</description><identifier>ISSN: 0020-7543</identifier><identifier>ISSN: 1366-588X</identifier><identifier>EISSN: 1366-588X</identifier><identifier>DOI: 10.1080/00207540701666212</identifier><identifier>CODEN: IJPRB8</identifier><language>eng</language><publisher>Abingdon: Taylor & Francis Group</publisher><subject>adaptive machining ; Applied sciences ; Complexity theory ; Exact sciences and technology ; execution control ; Firm modelling ; function block ; Inventory control, production control. Distribution ; job shop operation ; Job shops ; Manufacturing ; Operational research and scientific management ; Operational research. 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In addition, shop floor uncertainty or fluctuation is another issue regularly challenging manufacturing companies, including job delay, urgent job insertion, fixture shortage, missing tools, and even machine breakdown. Targeting the uncertainty, we propose a function block-based approach to generating adaptive process plans. Enabled by the function blocks, a so-generated process plan is responsive and tolerant to an unpredictable change. This paper presents in detail how a function block is designed and what it can do during process plan execution. It is expected that this new approach can largely enhance the dynamism of fluctuating job shop operations.</description><subject>adaptive machining</subject><subject>Applied sciences</subject><subject>Complexity theory</subject><subject>Exact sciences and technology</subject><subject>execution control</subject><subject>Firm modelling</subject><subject>function block</subject><subject>Inventory control, production control. Distribution</subject><subject>job shop operation</subject><subject>Job shops</subject><subject>Manufacturing</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Operations research</subject><subject>Studies</subject><subject>Uncertainty</subject><issn>0020-7543</issn><issn>1366-588X</issn><issn>1366-588X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNqFkUtv1DAUhS0EEtOhP4CdhQS7FL_iOBKbqqUPqRIbQN1ZN44z42nGDrZD239fD1O6oKqwF174O-ce-yD0npIjShT5TAgjTS1IQ6iUklH2Ci0ol7Kqlbp-jRa7-6oA_C06SGlDyqqVWKAfZ7M32QWPuzGYG9zb5FYeDyFi6GHK7rfF9s6a-Q9jgs8xjDgMeBM6nNZhwlswa-edX-Ew2Qg7Lr1DbwYYkz18PJdlztfvJxfV1bfzy5Pjq8rUhOdKClCMN2BZKxpDeijpmTKypaxXjEHHh67nQBkIaE3XF1wVkqmhbSwngi9RtfdNt3aaOz1Ft4V4rwM4fep-HusQV_omrzUrf1H2En3a81MMv2abst66ZOw4grdhTpoLJZviX8AP_4CbMEdf3lKslGyl5DuI7iETQ0rRDk_zKdG7VvSzVorm46MxJAPjEMEbl56EjApB6pJ2iZo953zpYgu3IY69znA_hvhX9Mxd57tclF_-q-QvB3wAm7CxCg</recordid><startdate>20090101</startdate><enddate>20090101</enddate><creator>Wang, Lihui</creator><creator>Feng, Hsi-Yung</creator><creator>Song, Changjin</creator><creator>Jin, Wei</creator><general>Taylor & Francis Group</general><general>Taylor & Francis</general><general>Taylor & Francis LLC</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8V</scope></search><sort><creationdate>20090101</creationdate><title>Function block design for adaptive execution control of job shop machining operations</title><author>Wang, Lihui ; Feng, Hsi-Yung ; Song, Changjin ; Jin, Wei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c503t-64a8237ae2947c0da70128c6912d822ab3fbd3a12a4a9cbd4a8894728f97e3043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>adaptive machining</topic><topic>Applied sciences</topic><topic>Complexity theory</topic><topic>Exact sciences and technology</topic><topic>execution control</topic><topic>Firm modelling</topic><topic>function block</topic><topic>Inventory control, production control. Distribution</topic><topic>job shop operation</topic><topic>Job shops</topic><topic>Manufacturing</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Operations research</topic><topic>Studies</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Lihui</creatorcontrib><creatorcontrib>Feng, Hsi-Yung</creatorcontrib><creatorcontrib>Song, Changjin</creatorcontrib><creatorcontrib>Jin, Wei</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering 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><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Kungliga Tekniska Högskolan</collection><jtitle>International journal of production research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Lihui</au><au>Feng, Hsi-Yung</au><au>Song, Changjin</au><au>Jin, Wei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Function block design for adaptive execution control of job shop machining operations</atitle><jtitle>International journal of production research</jtitle><date>2009-01-01</date><risdate>2009</risdate><volume>47</volume><issue>12</issue><spage>3413</spage><epage>3434</epage><pages>3413-3434</pages><issn>0020-7543</issn><issn>1366-588X</issn><eissn>1366-588X</eissn><coden>IJPRB8</coden><abstract>Small volume and high product mix contribute greatly to the complexity of job shop operations. In addition, shop floor uncertainty or fluctuation is another issue regularly challenging manufacturing companies, including job delay, urgent job insertion, fixture shortage, missing tools, and even machine breakdown. Targeting the uncertainty, we propose a function block-based approach to generating adaptive process plans. Enabled by the function blocks, a so-generated process plan is responsive and tolerant to an unpredictable change. This paper presents in detail how a function block is designed and what it can do during process plan execution. It is expected that this new approach can largely enhance the dynamism of fluctuating job shop operations.</abstract><cop>Abingdon</cop><pub>Taylor & Francis Group</pub><doi>10.1080/00207540701666212</doi><tpages>22</tpages></addata></record> |
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source | Taylor & Francis:Master (3349 titles); Business Source Complete |
subjects | adaptive machining Applied sciences Complexity theory Exact sciences and technology execution control Firm modelling function block Inventory control, production control. Distribution job shop operation Job shops Manufacturing Operational research and scientific management Operational research. Management science Operations research Studies Uncertainty |
title | Function block design for adaptive execution control of job shop machining operations |
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