Abstract
Unpredictable dynamic issues often occur in production activities. Identifying overall operating status is important to trigger the required response, since fluctuations can have a significant effect on logistics-associated functions. However, there are substantial obstacles to getting a good overview of the entire plant operation. Consequently, only piecemeal data are gathered and it is difficult to avoid interpretation discrepancies arising from data filtering. Such a scenario may even introduce negative effects into a system. Traditionally, system dynamics approaches feed signals back to a constructed model and use the difference to drive the system to a balanced stage. For manufacturing management, by recognising the characteristics of the element flows inside a system, it is possible to deduce the process's healthiness. This paper presents a technique to identify the dynamic changes along a flow line-type production.
Original language | English |
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Pages (from-to) | 96-106 |
Number of pages | 11 |
Journal | International Journal of Technology Intelligence and Planning |
Volume | 3 |
Issue number | 1 |
DOIs | |
Publication status | Published - 18 Jun 2007 |
Keywords
- CIM
- Computer integrated manufacturing
- Decision model
- Early warning
- Identification
- Manufacturing monitoring
- Reasoning
- System dynamics
ASJC Scopus subject areas
- Management Information Systems
- Information Systems and Management
- Management of Technology and Innovation