Fuzzy flexibility analysis in automated manufacturing systems

Cengiz Kahraman; Ethem Tolga; Ziya Ulukan

Fuzzy flexibility analysis in automated manufacturing systems

Cengiz Kahraman^*
, Ethem Tolga
, Ziya Ulukan

^*Corresponding author for this work

Department of Industrial Engineering

Istanbul Technical University

Research output: Contribution to conference › Paper › peer-review

9 Citations (Scopus)

Abstract

A systematic procedure for quantifying flexibility in monetary terms is proposed and financial models with decision criteria based on present worth, equivalent uniform annual worth, and other discounting technique are used. Many parameters are defined while quantifying flexibility value and are assumed to be accurate numerical estimates. It must be considered, however, that some changes in these numerical estimates may occur. Thus, these parameters can be defined as triangular parameters. Because of this, the fuzzy present worth formulas of the flexibility elements are obtained. Using these formulas, more reliable results can be achieved.

Original language	English
Pages	299-307
Number of pages	9
Publication status	Published - 1995
Event	Proceedings of the 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. Part 3 (of 3) - Paris, Fr Duration: 10 Oct 1995 → 13 Oct 1995

Conference

Conference	Proceedings of the 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. Part 3 (of 3)
City	Paris, Fr
Period	10/10/95 → 13/10/95

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Cite this

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title = "Fuzzy flexibility analysis in automated manufacturing systems",

abstract = "A systematic procedure for quantifying flexibility in monetary terms is proposed and financial models with decision criteria based on present worth, equivalent uniform annual worth, and other discounting technique are used. Many parameters are defined while quantifying flexibility value and are assumed to be accurate numerical estimates. It must be considered, however, that some changes in these numerical estimates may occur. Thus, these parameters can be defined as triangular parameters. Because of this, the fuzzy present worth formulas of the flexibility elements are obtained. Using these formulas, more reliable results can be achieved.",

author = "Cengiz Kahraman and Ethem Tolga and Ziya Ulukan",

year = "1995",

language = "English",

pages = "299--307",

note = "Proceedings of the 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. Part 3 (of 3) ; Conference date: 10-10-1995 Through 13-10-1995",

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TY - CONF

T1 - Fuzzy flexibility analysis in automated manufacturing systems

AU - Kahraman, Cengiz

AU - Tolga, Ethem

AU - Ulukan, Ziya

PY - 1995

Y1 - 1995

N2 - A systematic procedure for quantifying flexibility in monetary terms is proposed and financial models with decision criteria based on present worth, equivalent uniform annual worth, and other discounting technique are used. Many parameters are defined while quantifying flexibility value and are assumed to be accurate numerical estimates. It must be considered, however, that some changes in these numerical estimates may occur. Thus, these parameters can be defined as triangular parameters. Because of this, the fuzzy present worth formulas of the flexibility elements are obtained. Using these formulas, more reliable results can be achieved.

AB - A systematic procedure for quantifying flexibility in monetary terms is proposed and financial models with decision criteria based on present worth, equivalent uniform annual worth, and other discounting technique are used. Many parameters are defined while quantifying flexibility value and are assumed to be accurate numerical estimates. It must be considered, however, that some changes in these numerical estimates may occur. Thus, these parameters can be defined as triangular parameters. Because of this, the fuzzy present worth formulas of the flexibility elements are obtained. Using these formulas, more reliable results can be achieved.

UR - https://www.scopus.com/pages/publications/0029528632

M3 - Paper

AN - SCOPUS:0029528632

SP - 299

EP - 307

T2 - Proceedings of the 1995 INRIA/IEEE Symposium on Emerging Technologies and Factory Automation. Part 3 (of 3)

Y2 - 10 October 1995 through 13 October 1995

ER -

Fuzzy flexibility analysis in automated manufacturing systems

Abstract

Conference

UN SDGs

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