Selection of a manufacturing process with multiple attributes: A case study

O. L. Chau; Celik Parkan

doi:10.1016/0923-4748(95)00011-7

Selection of a manufacturing process with multiple attributes: A case study

O. L. Chau
, Celik Parkan

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

31 Citations (Scopus)

Abstract

Decision makers in the manufacturing sector frequently face the problem of assessing alternative processes and selecting one based on a set of attributes. Process attributes with direct cost implication are not always explicitly identified and their indirect cost and benefits are generally not well quantified. This is a case study of the selection of a manufacturing process in a company that produces semiconductors. Regression analysis was used to identify the attributes with significant direct cost implication and rank the alternatives. A distance-based multiple attribute decision making method was adopted to determine the preference ranking with respect to operational benefits. Then, the two results were combined in a manner to reflect the subjective views of the decision makers involved to make the final selection. Managers and technical staff who would be affected by the choice of process understood the models used and were dedicated participants in the analysis. © 1995.

Original language	English
Pages (from-to)	219-237
Journal	Journal of Engineering and Technology Management
Volume	12
Issue number	3
DOIs	https://doi.org/10.1016/0923-4748(95)00011-7
Publication status	Published - Dec 1995
Externally published	Yes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

Multiple attribute decision making
Multiple criteria decision making

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abstract = "Decision makers in the manufacturing sector frequently face the problem of assessing alternative processes and selecting one based on a set of attributes. Process attributes with direct cost implication are not always explicitly identified and their indirect cost and benefits are generally not well quantified. This is a case study of the selection of a manufacturing process in a company that produces semiconductors. Regression analysis was used to identify the attributes with significant direct cost implication and rank the alternatives. A distance-based multiple attribute decision making method was adopted to determine the preference ranking with respect to operational benefits. Then, the two results were combined in a manner to reflect the subjective views of the decision makers involved to make the final selection. Managers and technical staff who would be affected by the choice of process understood the models used and were dedicated participants in the analysis. {\textcopyright} 1995.",

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AU - Parkan, Celik

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N2 - Decision makers in the manufacturing sector frequently face the problem of assessing alternative processes and selecting one based on a set of attributes. Process attributes with direct cost implication are not always explicitly identified and their indirect cost and benefits are generally not well quantified. This is a case study of the selection of a manufacturing process in a company that produces semiconductors. Regression analysis was used to identify the attributes with significant direct cost implication and rank the alternatives. A distance-based multiple attribute decision making method was adopted to determine the preference ranking with respect to operational benefits. Then, the two results were combined in a manner to reflect the subjective views of the decision makers involved to make the final selection. Managers and technical staff who would be affected by the choice of process understood the models used and were dedicated participants in the analysis. © 1995.

AB - Decision makers in the manufacturing sector frequently face the problem of assessing alternative processes and selecting one based on a set of attributes. Process attributes with direct cost implication are not always explicitly identified and their indirect cost and benefits are generally not well quantified. This is a case study of the selection of a manufacturing process in a company that produces semiconductors. Regression analysis was used to identify the attributes with significant direct cost implication and rank the alternatives. A distance-based multiple attribute decision making method was adopted to determine the preference ranking with respect to operational benefits. Then, the two results were combined in a manner to reflect the subjective views of the decision makers involved to make the final selection. Managers and technical staff who would be affected by the choice of process understood the models used and were dedicated participants in the analysis. © 1995.

KW - Multiple attribute decision making

KW - Multiple criteria decision making

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EP - 237

JO - Journal of Engineering and Technology Management

JF - Journal of Engineering and Technology Management

IS - 3

ER -

Selection of a manufacturing process with multiple attributes: A case study

Abstract

Bibliographical note

UN SDGs

Research Keywords

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