NDLI: Performance value analysis for the justification of lean manufacturing systems

Content Provider	IEEE Xplore Digital Library
Author	Gurumurthy, A. Kodali, R.
Copyright Year	2007
Description	Author affiliation: Birla Inst. of Technol. & Sci., Rajasthan (Gurumurthy, A.; Kodali, R.)
Abstract	Lean manufacturing systems (LMS) have attracted the attention of industries all over the world. But how do managers make a decision of implementing a 'management based and people oriented philosophy and practice' like LMS or a technically sophisticated system like computer integrated manufacturing systems (CIMS)? Such a question remains unanswered till date. Managers willing to adopt such systems should convince the top management with necessary justification, as it involves huge investment and creates a longstanding impact on various resources. But such justification problems are quite complex. Traditional techniques cannot be applied, as they do not account for intangible factors and benefits offered, which necessitate the use of multi-attribute decision making (MADM) models. Hence in this paper, an attempt has been made to demonstrate the application of a MADM model, namely, the performance value analysis (PVA) to analyze the alternatives based on performance measures. A detailed algorithm of the PVA model is demonstrated using a hypothetical case situation, which showed that LMS is the best, as it results in overall improvement in the performance of the organization.
Starting Page	377
Ending Page	381
File Size	330698
Page Count	5
File Format	PDF
ISBN	9781424415281
DOI	10.1109/IEEM.2007.4419215
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-02
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Lean production Computer aided manufacturing Lean manufacturing Computer integrated manufacturing multi-attribute decision making performance value analysis Least squares approximation Computer numerical control Distributed computing Performance analysis justification Total quality management Flexible manufacturing systems Materials requirements planning
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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