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

    Fingerprint

    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

    @article{8f590a3e87ae4fd2828939487d2828d6,
    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.",
    author = "Markku Kuula and Antonie Stam and Jukka Ranta",
    note = "Project code: S{\"A}H 25142",
    year = "1992",
    doi = "10.1002/mcda.4020010306",
    language = "English",
    volume = "1",
    pages = "165--184",
    journal = "Journal of Multi-Criteria Decision Analysis",
    issn = "1057-9214",
    publisher = "Wiley",
    number = "3",

    }

    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

    TY - JOUR

    T1 - A non-linear multi-criteria model for strategic FMS selection decisions

    AU - Kuula, Markku

    AU - Stam, Antonie

    AU - Ranta, Jukka

    N1 - Project code: SÄH 25142

    PY - 1992

    Y1 - 1992

    N2 - 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.

    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.

    U2 - 10.1002/mcda.4020010306

    DO - 10.1002/mcda.4020010306

    M3 - Article

    VL - 1

    SP - 165

    EP - 184

    JO - Journal of Multi-Criteria Decision Analysis

    JF - Journal of Multi-Criteria Decision Analysis

    SN - 1057-9214

    IS - 3

    ER -