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    A Multilayer Taxonomy of Cost Estimation Techniques, Looking at the Whole Product Lifecycle

    Source: Journal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 003::page 30801
    Author:
    Altavilla, Stefania
    ,
    Montagna, Francesca
    ,
    Cantamessa, Marco
    DOI: 10.1115/1.4037763
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Product cost estimation (PCE) still draws the attention of researchers and practitioners, even though it has been extensively discussed in the literature for more than 20 years. This is due to its central impact on the company's performance. Nowadays, the adoption of cost estimation methods seems to be limited, despite the multitude of examples and applications available. A possible reason is the multitude of approaches and techniques proposed in the literature, which, instead of representing a guide for enabling possible implementations, actually create confusion and ambiguity on their appropriateness for a particular application. Hence, this paper aims to provide a systematic review of the recent literature in the field of PCE, and intensively investigates the aspects that can enable a more conscious decision on the type of technique to be adopted. This results in the identification of five different perspectives, which can be taken simultaneously into account. By combining the different viewpoints, a new multilayer framework is derived, with a specific focus on the whole product life cycle. The proposed framework can be used as a decision-making tool by both researchers and practitioners. In fact, the former group can benefit from the new structure, as a way to identify new areas of possible research opportunities. The latter group is provided an operative guide for the application in industrial contexts.
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      A Multilayer Taxonomy of Cost Estimation Techniques, Looking at the Whole Product Lifecycle

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    contributor authorAltavilla, Stefania
    contributor authorMontagna, Francesca
    contributor authorCantamessa, Marco
    date accessioned2019-02-28T11:01:54Z
    date available2019-02-28T11:01:54Z
    date copyright12/21/2017 12:00:00 AM
    date issued2018
    identifier issn1087-1357
    identifier othermanu_140_03_030801.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4251908
    description abstractProduct cost estimation (PCE) still draws the attention of researchers and practitioners, even though it has been extensively discussed in the literature for more than 20 years. This is due to its central impact on the company's performance. Nowadays, the adoption of cost estimation methods seems to be limited, despite the multitude of examples and applications available. A possible reason is the multitude of approaches and techniques proposed in the literature, which, instead of representing a guide for enabling possible implementations, actually create confusion and ambiguity on their appropriateness for a particular application. Hence, this paper aims to provide a systematic review of the recent literature in the field of PCE, and intensively investigates the aspects that can enable a more conscious decision on the type of technique to be adopted. This results in the identification of five different perspectives, which can be taken simultaneously into account. By combining the different viewpoints, a new multilayer framework is derived, with a specific focus on the whole product life cycle. The proposed framework can be used as a decision-making tool by both researchers and practitioners. In fact, the former group can benefit from the new structure, as a way to identify new areas of possible research opportunities. The latter group is provided an operative guide for the application in industrial contexts.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Multilayer Taxonomy of Cost Estimation Techniques, Looking at the Whole Product Lifecycle
    typeJournal Paper
    journal volume140
    journal issue3
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.4037763
    journal fristpage30801
    journal lastpage030801-19
    treeJournal of Manufacturing Science and Engineering:;2018:;volume( 140 ):;issue: 003
    contenttypeFulltext
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