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Monitoring and Diagnosis Systems: New Components of Production Planning and Control — Methodologies, Applications and Experience
Author(s) -
Wiendahl HansPeter,
Ludwig Eberhard,
Ullmann Werner
Publication year - 1994
Publication title -
international transactions in operational research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.032
H-Index - 52
eISSN - 1475-3995
pISSN - 0969-6016
DOI - 10.1111/1475-3995.d01-11
Subject(s) - computer science , production (economics) , production planning , job shop , lean manufacturing , dependency (uml) , control (management) , risk analysis (engineering) , process management , manufacturing engineering , industrial engineering , business , artificial intelligence , flow shop scheduling , engineering , economics , macroeconomics , dynamic priority scheduling , schedule , operating system
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. We introduce new approaches 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 with consistent and realistic defined goals.