Product development cost estimation through ontological models – a literature review

Voltolini, Rafael; Vasconcelos, Kaio; Borsato, Milton; Peruzzini, Margherita

doi:10.1080/23270012.2019.1598899

Cited by 7 publications

(4 citation statements)

References 50 publications

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“…Other authors also apply semantic technology to manufacturing cost estimation (Voltolini et al, 2019;Mandolini et al, 2020). However, they lack a consistent use of references, here provided by reference system elements in the model of PGE.…”

Section: Research Gap and Questionmentioning

confidence: 99%

“…As the usage of reference system elements depends on personal networks and experience (Hellweg and Behrendt, 2021) a semantic technology supported method was proposed by the authors (Hellweg et al, 2023). Mandolini et al (2020) and Voltolini et al (2019) also apply semantic technology to the manufacturing cost estimation domain by identifying and using references.…”

Section: Manufacturing Cost Estimationmentioning

confidence: 99%

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Method for Reference-Based Manufacturing Cost Estimation – Evaluation Study Using a Prototype

Hellweg,

Cacaj,

Haneke

et al. 2023

Proc. Des. Soc.

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Within product development, manufacturing cost estimation provides a sound basis for design and management decisions. This secures companies profitability, but the effort is high and deep knowledge at the interface of design, manufacturing and costs is needed. These issues can be eased with automation enabled by semantic technologies. Therefore, the authors developed a method for reference-based manufacturing cost estimation and created a prototype. This research evaluates the method and the prototype. Observation, interview and questionnaire were conducted with ten experienced cost engineers at a large German manufacturing company.Based on its results, the study shows the methods contribution to lower estimation effort, while the impact on transparency and the knowledge base was only partly verified. The method steps show different automation potential, so an incremental automation should be considered. Even though semantic technologies show high potential for identifying reference system elements in this study, the limiting factor for automation in manufacturing cost estimation remains the low availability of product and manufacturing information and missing knowledge of its connection within product development.

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Section: Research Gap and Questionmentioning

confidence: 99%

Section: Manufacturing Cost Estimationmentioning

confidence: 99%

Method for Reference-Based Manufacturing Cost Estimation – Evaluation Study Using a Prototype

Hellweg,

Cacaj,

Haneke

et al. 2023

Proc. Des. Soc.

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“…Further, Andrade-Valbuena and Merigo (2018) conducted a bibliometric literature review to analyze journals, research papers and NPD scholars, as well as identify different sub-areas. Also (Borgianni et al, 2018), investigated the selection of design strategies during the product planning stage and discovered that agile and lean strategies appear to be more appropriate, whereas (Voltolini et al, 2019), expanded the use of ontologies for cost estimation. Heimicke et al (2020) discussed the characteristics, benefits and success stories of hybrid PD whereas Marzi et al (2020) Agile new product development…”

Section: Existing Literature Review Of Articles On Anpdmentioning

confidence: 99%

“…Also (Borgianni et al. , 2018), investigated the selection of design strategies during the product planning stage and discovered that agile and lean strategies appear to be more appropriate, whereas (Voltolini et al. , 2019), expanded the use of ontologies for cost estimation.…”

Section: Background Of Anpdmentioning

confidence: 99%

Recent trends in agile new product development: a systematic review and agenda for future research

Palsodkar¹,

Yadav²,

Nagare³

2022

BIJ

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PurposeThe market's intense competition, the unpredictability of customer demands and technological advancements are compelling organizations to adopt new approaches, such as agile new product development (ANPD), which enables the introduction of new products to the market in a short span. The existing ANPD literature review articles are lacking in portraying recent developments, potential fields of adoption and the significance of ANPD in organizational development. The primary goal of this article is to investigate emerging aspects, current trends and conduct a meta-analysis using a systematic review of 177 ANPD articles published in peer-reviewed journals between 1998 and 2020.Design/methodology/approachThe articles were categorized based on their year of publication, publishers, journals, authors, countries, universities, most cited articles, etc. The authors attempted to identify top journals, authors, most cited articles, enablers, barriers, performance metrics, etc. in the ANPD domain through the presented study.FindingsThe major themes of research articles, gaps and future trends are identified to assist academicians and ANPD practitioners. This study will benefit ANPD professionals by providing them with information on available literature and current ANPD trends.Originality/valueThrough meta-analysis, this study is one of the unique attempt to categorize ANPD articles to identify research gaps and highlight future research trends. A distinguishing feature of the presented study is the identification of active journals, publishers and authors, as well as enablers, barriers and performance metrics.

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Environmental performance evaluation in ports: a literature review and future research guidelines

Rodrigues,

Ensslin

2023

Marit Econ Logist

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Product development cost estimation through ontological models – a literature review

Cited by 7 publications

References 50 publications

Method for Reference-Based Manufacturing Cost Estimation – Evaluation Study Using a Prototype

Method for Reference-Based Manufacturing Cost Estimation – Evaluation Study Using a Prototype

Recent trends in agile new product development: a systematic review and agenda for future research

Environmental performance evaluation in ports: a literature review and future research guidelines

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