How to decentralize decisions through GRAI model in production management
Our Laboratory has been working in the field of Production Management for over a decade. Our research has been made in a pragmatic way, alternating analyses on the ground, research for solutions to formulated problems and experiments of possible solutions back on the ground. We have particularly loo...
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| Veröffentlicht in: | Computers in industry 1985-12, Vol.6 (6), p.501-514 |
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| creator | Doumeingts, Guy |
| description | Our Laboratory has been working in the field of Production Management for over a decade. Our research has been made in a pragmatic way, alternating analyses on the ground, research for solutions to formulated problems and experiments of possible solutions back on the ground.
We have particularly looked into the structure of Production Management Systems (PMS) because we have noticed the lack in existing of a global model and the difficulty in drawing up some specifications for these systems.
During our research of a global structure, we have been quickly faced with a lack of PMS efficiency in driving the physical system. The complexity of this structure led us to split it up into more and more simple elements drawing our approach from MELESE concepts [1].
But ASHBY concepts dealing with variety have led us to split up again and to decentralize decision centers in order to make possible the driving of PMS [2].
In this paper we will present the model which has allowed us to design a specific PMS organized into a hierarchy with a decentralized decision center. |
| doi_str_mv | 10.1016/0166-3615(85)90031-4 |
| format | Article |
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We have particularly looked into the structure of Production Management Systems (PMS) because we have noticed the lack in existing of a global model and the difficulty in drawing up some specifications for these systems.
During our research of a global structure, we have been quickly faced with a lack of PMS efficiency in driving the physical system. The complexity of this structure led us to split it up into more and more simple elements drawing our approach from MELESE concepts [1].
But ASHBY concepts dealing with variety have led us to split up again and to decentralize decision centers in order to make possible the driving of PMS [2].
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We have particularly looked into the structure of Production Management Systems (PMS) because we have noticed the lack in existing of a global model and the difficulty in drawing up some specifications for these systems.
During our research of a global structure, we have been quickly faced with a lack of PMS efficiency in driving the physical system. The complexity of this structure led us to split it up into more and more simple elements drawing our approach from MELESE concepts [1].
But ASHBY concepts dealing with variety have led us to split up again and to decentralize decision centers in order to make possible the driving of PMS [2].
In this paper we will present the model which has allowed us to design a specific PMS organized into a hierarchy with a decentralized decision center.</description><subject>Applied sciences</subject><subject>CAM</subject><subject>CAM-I model</subject><subject>Computer aided manufacturing</subject><subject>Control systems</subject><subject>Decentralized</subject><subject>Decision making</subject><subject>Exact sciences and technology</subject><subject>GRAI model</subject><subject>ICAM model</subject><subject>Inventory control, production control. Distribution</subject><subject>Management</subject><subject>Operational research and scientific management</subject><subject>Operational research. Management science</subject><subject>Production</subject><subject>Production controls</subject><subject>Production management</subject><subject>Production management systems</subject><subject>Production physical system</subject><subject>Production planning</subject><subject>Systems management</subject><issn>0166-3615</issn><issn>1872-6194</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1985</creationdate><recordtype>article</recordtype><recordid>eNp9kE1LAzEQhoMoWKv_wMMiHvSwmo_Nx14EKdoWCoLoOWSzs21Ku6nJrqK_3tSWHg0MIfC8M5kHoUuC7wgm4j6VyJkg_Ebx2xJjRvLiCA2IkjQXpCyO0eCAnKKzGJc4HSnFAE0n_ivrfFaDhbYLZuV-YPtw0fk2Zt0i-H6-yMavj9Ns7WtYZa7NNsHXve0Ska1Na-awTtlzdNKYVYSL_T1E789Pb6NJPnsZT0ePs9xSybu8UVUlGyG5KqgATmpOqbJMYSipAWkaLA1jFcV1BZSbujQVKFVRhksmRWHZEF3t-qZffPQQO730fWjTSE0Zl5yqskxQsYNs8DEGaPQmuLUJ35pgvXWmt0L0VohWXP8500WKXe97m2jNqgmmTSYOWSVkQZVM2MMOg7Tnp4Ogo3XQWqhdANvp2rv_5_wCi9x_CA</recordid><startdate>19851201</startdate><enddate>19851201</enddate><creator>Doumeingts, Guy</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>19851201</creationdate><title>How to decentralize decisions through GRAI model in production management</title><author>Doumeingts, Guy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c275t-f8bb7f6758426e51d5228c380e92ae7af07a33b20dbe25ad9abe88b23093764c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1985</creationdate><topic>Applied sciences</topic><topic>CAM</topic><topic>CAM-I model</topic><topic>Computer aided manufacturing</topic><topic>Control systems</topic><topic>Decentralized</topic><topic>Decision making</topic><topic>Exact sciences and technology</topic><topic>GRAI model</topic><topic>ICAM model</topic><topic>Inventory control, production control. Distribution</topic><topic>Management</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Production</topic><topic>Production controls</topic><topic>Production management</topic><topic>Production management systems</topic><topic>Production physical system</topic><topic>Production planning</topic><topic>Systems management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Doumeingts, Guy</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>Doumeingts, Guy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>How to decentralize decisions through GRAI model in production management</atitle><jtitle>Computers in industry</jtitle><date>1985-12-01</date><risdate>1985</risdate><volume>6</volume><issue>6</issue><spage>501</spage><epage>514</epage><pages>501-514</pages><issn>0166-3615</issn><eissn>1872-6194</eissn><coden>CINUD4</coden><abstract>Our Laboratory has been working in the field of Production Management for over a decade. Our research has been made in a pragmatic way, alternating analyses on the ground, research for solutions to formulated problems and experiments of possible solutions back on the ground.
We have particularly looked into the structure of Production Management Systems (PMS) because we have noticed the lack in existing of a global model and the difficulty in drawing up some specifications for these systems.
During our research of a global structure, we have been quickly faced with a lack of PMS efficiency in driving the physical system. The complexity of this structure led us to split it up into more and more simple elements drawing our approach from MELESE concepts [1].
But ASHBY concepts dealing with variety have led us to split up again and to decentralize decision centers in order to make possible the driving of PMS [2].
In this paper we will present the model which has allowed us to design a specific PMS organized into a hierarchy with a decentralized decision center.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/0166-3615(85)90031-4</doi><tpages>14</tpages></addata></record> |
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| ispartof | Computers in industry, 1985-12, Vol.6 (6), p.501-514 |
| issn | 0166-3615 1872-6194 |
| language | eng |
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| source | Access via ScienceDirect (Elsevier) |
| subjects | Applied sciences CAM CAM-I model Computer aided manufacturing Control systems Decentralized Decision making Exact sciences and technology GRAI model ICAM model Inventory control, production control. Distribution Management Operational research and scientific management Operational research. Management science Production Production controls Production management Production management systems Production physical system Production planning Systems management |
| title | How to decentralize decisions through GRAI model in production management |
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