A comparison of JIT and TOC buffering philosophies on system performance with unplanned machine downtime
The impact of buffering under just in time (JIT) and theory of constraints (TOC) is studied to determine whether a difference in performance exists in systems faced with unplanned machine downtime. Comparisons are based on results obtained from simulation of a five-station cell utilised in computer...
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| Veröffentlicht in: | International journal of production research 2008-04, Vol.46 (7), p.1869-1885 |
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| container_end_page | 1885 |
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| container_issue | 7 |
| container_start_page | 1869 |
| container_title | International journal of production research |
| container_volume | 46 |
| creator | Watson, K. J. Patti, A. |
| description | The impact of buffering under just in time (JIT) and theory of constraints (TOC) is studied to determine whether a difference in performance exists in systems faced with unplanned machine downtime. Comparisons are based on results obtained from simulation of a five-station cell utilised in computer substrate manufacturing. Analysis of the simulation output suggests that the TOC technique, drum-buffer-rope (DBR), achieves higher levels of performance as measured by total output and lead time while reducing inventory requirements relative to the tested JIT technique, Kanban. Improved system performance stems from the strategic placement of buffers in DBR, which maximises protection of the constraint from variation rather than attempting to protect each individual station. Further, analysis suggests that DBR systems are more robust than JIT systems in that they are able to maintain higher levels of system performance across a range of inventory levels. |
| doi_str_mv | 10.1080/00207540600972943 |
| format | Article |
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Improved system performance stems from the strategic placement of buffers in DBR, which maximises protection of the constraint from variation rather than attempting to protect each individual station. Further, analysis suggests that DBR systems are more robust than JIT systems in that they are able to maintain higher levels of system performance across a range of inventory levels.</description><subject>Applied sciences</subject><subject>Comparative analysis</subject><subject>Exact sciences and technology</subject><subject>Inventory control, production control. Distribution</subject><subject>Inventory management</subject><subject>Just in time</subject><subject>Operational research and scientific management</subject><subject>Operational research. 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J.</au><au>Patti, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A comparison of JIT and TOC buffering philosophies on system performance with unplanned machine downtime</atitle><jtitle>International journal of production research</jtitle><date>2008-04-01</date><risdate>2008</risdate><volume>46</volume><issue>7</issue><spage>1869</spage><epage>1885</epage><pages>1869-1885</pages><issn>0020-7543</issn><eissn>1366-588X</eissn><coden>IJPRB8</coden><abstract>The impact of buffering under just in time (JIT) and theory of constraints (TOC) is studied to determine whether a difference in performance exists in systems faced with unplanned machine downtime. Comparisons are based on results obtained from simulation of a five-station cell utilised in computer substrate manufacturing. 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| ispartof | International journal of production research, 2008-04, Vol.46 (7), p.1869-1885 |
| issn | 0020-7543 1366-588X |
| language | eng |
| recordid | cdi_pascalfrancis_primary_20144990 |
| source | Business Source Complete; Taylor & Francis:Master (3349 titles) |
| subjects | Applied sciences Comparative analysis Exact sciences and technology Inventory control, production control. Distribution Inventory management Just in time Operational research and scientific management Operational research. Management science Simulation Studies Theory of constraints |
| title | A comparison of JIT and TOC buffering philosophies on system performance with unplanned machine downtime |
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