Systematic analysis of reference models in product development: case studies in the agricultural machinery and implementation sector

With the growth in the machinery and agricultural implements sector the importance of the area of Product Development Process (PDP) has expanded significantly in the last decades. The surge is due to increased competition among manufacturers, thus requiring high quality products with greater efficie...

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Veröffentlicht in:Independent Journal of Management & Production 2018-04, Vol.9 (2), p.395-423
Hauptverfasser: Silveira, Franco da, Machado, Filipe Molinar, Ruppenthal, Janis Elisa, Romano, Leonardo Nabaes, Rodrigues, Vinícius Picanço, Farias, Marcelo Silveira de
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Sprache:eng
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Zusammenfassung:With the growth in the machinery and agricultural implements sector the importance of the area of Product Development Process (PDP) has expanded significantly in the last decades. The surge is due to increased competition among manufacturers, thus requiring high quality products with greater efficiency in their production processes. In addition, the management of the phases that comprise the PDP is considered complex by specialized literature and manufacturing companies. Thus, the objective of the study is to present the main reference models that contextualize the PDP in order to systematically analyze its methodological classifications. In addition, the research seeks to explore the work methodologies currently applied in the PDP of the agricultural machinery and implements manufacturers located in the northwestern region of Rio Grande do Sul - Brazil. The research adopted the Systematic Literature Review (SLR) and the case study as investigation methods, classified as descriptive and comparative, of an exploratory nature. As a result, it was possible to identify a set of reference models that are usually adopted to operationalize the PDP. Research has shown that project support tools are not used by companies, while design and industrial management tools are applied. Finally, it was verified that companies have little knowledge about reference models.
ISSN:2236-269X
2236-269X
DOI:10.14807/ijmp.v9i2.754