Combined discrete event simulation and systems thinking-based framework for management decision support
Abstract A number of modelling approaches, such as enterprise modelling, simulation modelling, and causal loop diagramming, have been used independently for designing systems of different kinds, such as machine systems, social systems, and production systems. Enterprise modelling has its roots in co...
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| Veröffentlicht in: | Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture Journal of engineering manufacture, 2006-12, Vol.220 (12), p.1969-1981 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
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| container_end_page | 1981 |
|---|---|
| container_issue | 12 |
| container_start_page | 1969 |
| container_title | Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture |
| container_volume | 220 |
| creator | Chatha, K A Weston, R H |
| description | Abstract
A number of modelling approaches, such as enterprise modelling, simulation modelling, and causal loop diagramming, have been used independently for designing systems of different kinds, such as machine systems, social systems, and production systems. Enterprise modelling has its roots in control system design. Simulation modelling has generally been used in re-engineering and optimizing production and service processes, whereas causal loop diagramming (systems thinking) has generally been used for systems designing in management and social sciences. This paper describes the combined use of these three modelling approaches which carry complementary concepts that can be used together for supporting management decisions in designing and changing complex manufacturing enterprises. A decision support framework is presented that is instrumented with combined use of these three modelling approaches and has been tested in production management-related decision making. |
| doi_str_mv | 10.1243/09544054JEM539 |
| format | Article |
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A number of modelling approaches, such as enterprise modelling, simulation modelling, and causal loop diagramming, have been used independently for designing systems of different kinds, such as machine systems, social systems, and production systems. Enterprise modelling has its roots in control system design. Simulation modelling has generally been used in re-engineering and optimizing production and service processes, whereas causal loop diagramming (systems thinking) has generally been used for systems designing in management and social sciences. This paper describes the combined use of these three modelling approaches which carry complementary concepts that can be used together for supporting management decisions in designing and changing complex manufacturing enterprises. A decision support framework is presented that is instrumented with combined use of these three modelling approaches and has been tested in production management-related decision making.</description><identifier>ISSN: 0954-4054</identifier><identifier>EISSN: 2041-2975</identifier><identifier>DOI: 10.1243/09544054JEM539</identifier><language>eng</language><publisher>London, England: SAGE Publications</publisher><subject>Applied sciences ; Computer science; control theory; systems ; Control system synthesis ; Control theory. Systems ; Decision making models ; Exact sciences and technology ; Firm modelling ; Inventory control, production control. Distribution ; Management decisions ; Mechanical engineering. Machine design ; Operational research and scientific management ; Operational research. Management science ; Process planning ; Simulation</subject><ispartof>Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture, 2006-12, Vol.220 (12), p.1969-1981</ispartof><rights>2006 Institution of Mechanical Engineers</rights><rights>2007 INIST-CNRS</rights><rights>Copyright Professional Engineering Publishing Ltd Dec 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-e480e41773331d4a07d9d3cc8e241079a21a03d1952440351e7c9ae453881b1d3</citedby><cites>FETCH-LOGICAL-c363t-e480e41773331d4a07d9d3cc8e241079a21a03d1952440351e7c9ae453881b1d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1243/09544054JEM539$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1243/09544054JEM539$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,780,784,21819,27924,27925,43621,43622</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=18426826$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Chatha, K A</creatorcontrib><creatorcontrib>Weston, R H</creatorcontrib><title>Combined discrete event simulation and systems thinking-based framework for management decision support</title><title>Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture</title><description>Abstract
A number of modelling approaches, such as enterprise modelling, simulation modelling, and causal loop diagramming, have been used independently for designing systems of different kinds, such as machine systems, social systems, and production systems. Enterprise modelling has its roots in control system design. Simulation modelling has generally been used in re-engineering and optimizing production and service processes, whereas causal loop diagramming (systems thinking) has generally been used for systems designing in management and social sciences. This paper describes the combined use of these three modelling approaches which carry complementary concepts that can be used together for supporting management decisions in designing and changing complex manufacturing enterprises. A decision support framework is presented that is instrumented with combined use of these three modelling approaches and has been tested in production management-related decision making.</description><subject>Applied sciences</subject><subject>Computer science; control theory; systems</subject><subject>Control system synthesis</subject><subject>Control theory. Systems</subject><subject>Decision making models</subject><subject>Exact sciences and technology</subject><subject>Firm modelling</subject><subject>Inventory control, production control. Distribution</subject><subject>Management decisions</subject><subject>Mechanical engineering. Machine design</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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Systems</topic><topic>Decision making models</topic><topic>Exact sciences and technology</topic><topic>Firm modelling</topic><topic>Inventory control, production control. Distribution</topic><topic>Management decisions</topic><topic>Mechanical engineering. Machine design</topic><topic>Operational research and scientific management</topic><topic>Operational research. Management science</topic><topic>Process planning</topic><topic>Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chatha, K A</creatorcontrib><creatorcontrib>Weston, R H</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</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><collection>ProQuest Central Basic</collection><jtitle>Proceedings of the Institution of Mechanical Engineers. 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A number of modelling approaches, such as enterprise modelling, simulation modelling, and causal loop diagramming, have been used independently for designing systems of different kinds, such as machine systems, social systems, and production systems. Enterprise modelling has its roots in control system design. Simulation modelling has generally been used in re-engineering and optimizing production and service processes, whereas causal loop diagramming (systems thinking) has generally been used for systems designing in management and social sciences. This paper describes the combined use of these three modelling approaches which carry complementary concepts that can be used together for supporting management decisions in designing and changing complex manufacturing enterprises. A decision support framework is presented that is instrumented with combined use of these three modelling approaches and has been tested in production management-related decision making.</abstract><cop>London, England</cop><pub>SAGE Publications</pub><doi>10.1243/09544054JEM539</doi><tpages>13</tpages></addata></record> |
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| identifier | ISSN: 0954-4054 |
| ispartof | Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture, 2006-12, Vol.220 (12), p.1969-1981 |
| issn | 0954-4054 2041-2975 |
| language | eng |
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| source | SAGE Complete A-Z List |
| subjects | Applied sciences Computer science control theory systems Control system synthesis Control theory. Systems Decision making models Exact sciences and technology Firm modelling Inventory control, production control. Distribution Management decisions Mechanical engineering. Machine design Operational research and scientific management Operational research. Management science Process planning Simulation |
| title | Combined discrete event simulation and systems thinking-based framework for management decision support |
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