A non-linear multi-criteria model for strategic FMS selection decisions

Markku Kuula, Antonie Stam, Jukka Ranta

Research output: Contribution to journalArticleScientificpeer-review

Abstract

The strategic decision of selecting an optimal flexible manufacturing system (FMS) configuration is a complicated question which involves evaluating trade‐offs between a number of different, potentially conflicting criteria such as annual production volume, flexibility, production and investment costs and average throughput of the system. Recently, several structured multicriteria approaches have been proposed to aid management in the FMS selection process. While acknowledging the non‐linear nature of a number of the relationships in the model, notably between batch size and the number of batches produced of each part, these studies used linear simplifications to illustrate the decision dynamics of the problem. These linear models were shown to offer useful analytical tools in the FMS pre‐design process. Owing to the non‐linearities of the true relationships, however, the trade‐offs between the criteria could not fully be explored within the linear framework.

This paper builds on the two‐phase decision support framework proposed by Stam and Kuula (1991) and uses a modified non‐linear multi‐criteria formulation to solve the problem. The software used in the illustration can easily be implemented, is user‐interactive and menu‐driven. The methodology is applied to real data from a Finnish metal product company and the results are compared with those obtained in previous studies.
Original languageEnglish
Pages (from-to)165-184
Number of pages20
JournalJournal of Multi-Criteria Decision Analysis
Volume1
Issue number3
DOIs
Publication statusPublished - 1992
MoE publication typeA1 Journal article-refereed

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Multi-criteria
Flexible manufacturing systems
Trade-offs
Strategic decisions
Selection process
Software
Batch size
Throughput
Batch
Metals
Methodology
Decision support
Nonlinearity
Costs
Volume flexibility

Cite this

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title = "A non-linear multi-criteria model for strategic FMS selection decisions",
abstract = "The strategic decision of selecting an optimal flexible manufacturing system (FMS) configuration is a complicated question which involves evaluating trade‐offs between a number of different, potentially conflicting criteria such as annual production volume, flexibility, production and investment costs and average throughput of the system. Recently, several structured multicriteria approaches have been proposed to aid management in the FMS selection process. While acknowledging the non‐linear nature of a number of the relationships in the model, notably between batch size and the number of batches produced of each part, these studies used linear simplifications to illustrate the decision dynamics of the problem. These linear models were shown to offer useful analytical tools in the FMS pre‐design process. Owing to the non‐linearities of the true relationships, however, the trade‐offs between the criteria could not fully be explored within the linear framework.This paper builds on the two‐phase decision support framework proposed by Stam and Kuula (1991) and uses a modified non‐linear multi‐criteria formulation to solve the problem. The software used in the illustration can easily be implemented, is user‐interactive and menu‐driven. The methodology is applied to real data from a Finnish metal product company and the results are compared with those obtained in previous studies.",
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A non-linear multi-criteria model for strategic FMS selection decisions. / Kuula, Markku; Stam, Antonie; Ranta, Jukka.

In: Journal of Multi-Criteria Decision Analysis, Vol. 1, No. 3, 1992, p. 165-184.

Research output: Contribution to journalArticleScientificpeer-review

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AB - The strategic decision of selecting an optimal flexible manufacturing system (FMS) configuration is a complicated question which involves evaluating trade‐offs between a number of different, potentially conflicting criteria such as annual production volume, flexibility, production and investment costs and average throughput of the system. Recently, several structured multicriteria approaches have been proposed to aid management in the FMS selection process. While acknowledging the non‐linear nature of a number of the relationships in the model, notably between batch size and the number of batches produced of each part, these studies used linear simplifications to illustrate the decision dynamics of the problem. These linear models were shown to offer useful analytical tools in the FMS pre‐design process. Owing to the non‐linearities of the true relationships, however, the trade‐offs between the criteria could not fully be explored within the linear framework.This paper builds on the two‐phase decision support framework proposed by Stam and Kuula (1991) and uses a modified non‐linear multi‐criteria formulation to solve the problem. The software used in the illustration can easily be implemented, is user‐interactive and menu‐driven. The methodology is applied to real data from a Finnish metal product company and the results are compared with those obtained in previous studies.

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