Skip to content
Surf Wiki
Save to docs
general/quality-management

From Surf Wiki (app.surf) — the open knowledge base

CIFMS


Continuous Improvement and Focused Monitoring System is a process management and quality management concept, which offers companies "quick wins" benefits, which enable them to produce high quality products with shorter lead-time.

A CIFMS is not a general software application that can be readily used for any given manufacturing company, it is a uniquely designed system specifically tailored to a given company guided by a method. Therefore the most crucial process in developing and implementing an efficient CIFMS is selecting a design method which brings forth a multi-criteria decision analysis (MCDM) problem with varied degrees of interdependencies among the decision components.

A key principle of an effective Continuous Improvement and Focused Monitoring System is input and feedback from a diverse group of stakeholders.

References

References

  1. Hassan, Kikuo, Haleh, Nezu. (2005). "A model for selecting a CIFMS design method". Emerald Group Publishing Limited.
  2. Waldner, Jean-Baptiste. (September 1992). "Principles of Computer-Integrated Manufacturing". John Wiley & Sons.
  3. NB : the MCDM problem can be formulated so as to minimize the distance between a facility and a given set of points. The efficient points of this problem are candidates for optimal solutions to many location problems.
Wikipedia Source

This article was imported from Wikipedia and is available under the Creative Commons Attribution-ShareAlike 4.0 License. Content has been adapted to SurfDoc format. Original contributors can be found on the article history page.

Want to explore this topic further?

Ask Mako anything about CIFMS — get instant answers, deeper analysis, and related topics.

Research with Mako

Free with your Surf account

Content sourced from Wikipedia, available under CC BY-SA 4.0.

This content may have been generated or modified by AI. CloudSurf Software LLC is not responsible for the accuracy, completeness, or reliability of AI-generated content. Always verify important information from primary sources.

Report