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Article

Guidelines to ensure the quality of product manufacturing information

ORCID Icon, , &
Pages 108-121 | Received 01 Jul 2019, Accepted 30 Oct 2020, Published online: 23 Dec 2020
 

ABSTRACT

This research aims to develop a solution in the form of a set of guidelines, which allow designers to ensure the quality of the information in the PDP (Product Development Process), provided through PMI (Product Manufacturing Information) annotations. The methodological framework called DSR (Design Science Research) was adopted in the development of this solution. An eight-step flowchart in the solution development phase was developed. The results were seven guidelines and a tool to assist man–machine interaction. For the evaluation criteria as efficiency, generally, ease of use and operation were used. The objective of this work is to develop a set of configurations that allow the designers to guarantee the IQ (Information Quality) provided by the PMI in the PDP. Thus, the use of the proposed set of guidelines has the potential to prevent design deficiencies and manufacturing inefficiencies, contributing to increased productivity, throughout PDP, cost reduction, and improved quality in the final product.

Additional information

Notes on contributors

Roberto Shigueru Sato

Roberto Shigueru Sato holds an MSc in Mechanical Engineering from UTFPR and is currently senior researcher at UTFPR, with the Intelligent and Sustainable Manufacturing Laboratory. His research activities include a set of configurations that allow designers to guarantee the Information Quality provided by PMI in the New Product Development Processes.

Jaqueline Sebastiany Iaksch

Jaqueline Sebastiany Iaksch is a PhD student in the area of Intelligent Manufacturing, with the Postgraduate Program in Mechanical Engineering at UTFPR. Her research activities include innovation in digital manufacturing and production systems.

Kaio Vasconcelos de Oliveira

Kaio Vasconcelos de Oliveira is a PhD student in the area of Sustainable Manufacturing, with the Postgraduate Program in Mechanical Engineering at UTFPR. His research activities include innovation in product-service systems.

Milton Borsato

Milton Borsato holds a PhD in Production Engineering from the Federal University of Santa Catarina (2003) in Brazil and a PhD in Advanced Productions Systems Engineering from Muroran Kogyo Daigaku (2016) in Japan. Currently, Milton Borsato is a full professor at UTFPR, heading the Intelligent and Sustainable Manufacturing Laboratory.

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