An integrated fuzzy-based decision support system for the selection of lean tools: a case study from the steel industry

RK Singh; AK Choudhury; MK Tiwari; RS Maull

doi:10.1243/09544054JEM494

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An integrated fuzzy-based decision support system for the selection of lean tools: a case study from the steel industry

Journal article

Peer reviewed

An integrated fuzzy-based decision support system for the selection of lean tools: a case study from the steel industry

RK Singh, AK Choudhury, MK Tiwari and RS Maull

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, Vol.220(10), pp.1735-1749

01/10/2006

DOI: https://doi.org/10.1243/09544054JEM494

Abstract

Science & Technology

Technology

Engineering

Manufacturing

Engineering

Mechanical

Engineering

ENGINEERING

MANUFACTURING

ENGINEERING

MECHANICAL

lean manufacturing

fuzzy logic

steel industry

multicriterion decision making

fuzzy AHP

CONSENSUS

MODEL

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Title: An integrated fuzzy-based decision support system for the selection of lean tools: a case study from the steel industry
Creators: RK Singh
AK Choudhury
MK Tiwari
RS Maull
Publication Details: PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE, Vol.220(10), pp.1735-1749
Publisher: PROFESSIONAL ENGINEERING PUBLISHING LTD
Date published: 01/10/2006
Date submitted: 16/05/2017
Identifiers: 99516681702346
Academic Unit: University of Surrey
Language: English
Resource Type: Journal article

An integrated fuzzy-based decision support system for the selection of lean tools: a case study from the steel industry

Abstract

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