Article ID: | iaor19942173 |
Country: | United Kingdom |
Volume: | 1 |
Issue: | 1 |
Start Page Number: | 95 |
End Page Number: | 106 |
Publication Date: | Jan 1994 |
Journal: | International Transactions in Operational Research |
Authors: | Wiendahl H-P., Ludwig E., Ullmann W. |
Keywords: | artificial intelligence: decision support, computers: information |
Traditional performance measurement in job shop production disregards the new challenges concerning logistics-oriented customer demands. Additionally, the manufacturing of innovative products requires lean and efficient production structures and stable production processes. But the way to lean production often suffers from the lack of objective performance criteria at shop floor level. New approaches are introduced for the logistics evaluation of production: monitoring and diagnostic methods support the analysis of production flows and order structures, allowing for a quantified turn to account of hidden potentials. By means of a dependency model combined with AI techniques, deviations are detected and even appropriate actions can be proposed. On this basis, company-wide accepted information systems with illustrative graphics help to keep on-track wth consistent and realistic defined goals.