Arthur Larocca, Milton Borsato, Pablo Kubo and Carla Estorilio
Although organizations have more data than ever at their disposal, actually deriving meaningful insights and actions from them is easier said than done. In this concern, the main…
Abstract
Purpose
Although organizations have more data than ever at their disposal, actually deriving meaningful insights and actions from them is easier said than done. In this concern, the main objective of this study is to identify trends and research opportunities regarding data management within new product development (NPD) and collaborative engineering.
Design/methodology/approach
Bibliometric and systemic analyses have been carried out using the methodological procedure ProKnow-C, which provides a structured framework for the literature review. A bibliographic portfolio (BP) was consolidated with 33 papers that represent the state of art in the subject.
Findings
Most recent researches within the BP indicate new trends and paradigm shifts in this area of research, tackling subjects such as the internet of things, cloud computing, big data analytics and digital twin. Research gaps include the lack of data automation and the absence of a common architecture for systems integration. However, from a general perspective of the BP, the management of experimental data is suggested as a research opportunity for future works. Although many studies have tackled data and collaboration based on computer-aided technologies environments, no study examined the management of the measured data collected during the verification and validation stages of a product.
Originality/value
This work provides a fresh and relevant source of authors, journals and studies for researchers and practitioners interested in the domain of data management applied to NPD and collaborative engineering.
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Keywords
Carla Estorilio and Richard K. Posso
Use of failure mode and effect analysis (FMEA) is a requirement of ISO/TS 16949. However, research has shown that there are inconsistencies in the way the technique is applied in…
Abstract
Purpose
Use of failure mode and effect analysis (FMEA) is a requirement of ISO/TS 16949. However, research has shown that there are inconsistencies in the way the technique is applied in automotive suppliers. The aim of this study is to identify these irregularities and to propose a strategy to minimize them.
Design/methodology/approach
Questionnaires were applied in seven of the main suppliers to a European automotive company, and ten FMEAs from each company were analyzed.
Findings
The study identifies irregularities in the development of process FMEAs and highlights seven factors that contribute to these inconsistencies. Based on these data, a strategy including a partially preconfigured FMEA form is suggested. When tested with three of the suppliers, the strategy was found to result in a significant improvement.
Originality/value
The study describes an application strategy for automotive companies to correct problems associated with the use of FMEAs. The strategy includes a partly parameterized spreadsheet for a cold stamping process that allows companies to implement their process FMEA in a collaborative supply chain environment.
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Keywords
Clever G. Esturilho and Carla Estorilio
The purpose of this paper is to describe a method to help companies identify the resources needed to provide manufacturing flexibility and meet the demands of their potential…
Abstract
Purpose
The purpose of this paper is to describe a method to help companies identify the resources needed to provide manufacturing flexibility and meet the demands of their potential consumers while complying with company strategy.
Design/methodology/approach
The literature related to flexibility is reviewed and a classification based on the following four levels is proposed: abilities, dimensions, elements and resources that provide flexibility. Based on this taxonomy and using the principles of quality function deployment, a method is proposed that shows the correlation between these four levels, starting with customer demand and company strategy. To show its applicability, the method was used in a manufacturing process in an automobile manufacturing company that produces nine models of vehicles.
Findings
The findings of the study include a taxonomy geared towards manufacturing flexibility and a method that enables the resources that provide flexibility in an industrial production line to be identified in order of importance. After being tested in an automobile manufacturing company, the method was found to be an effective aid to the deployment of flexibility and to help highlight the main resources that needed to be introduced in the manufacturing process in order to ensure the flexibility required by the market in keeping with the company brand.
Originality/value
The proposed method is based on the structure described by Olhagen and West. However, a taxonomy involving the deployment of other levels of flexibility identified by Kara and Kayis is added, making the method more complete as well as ensuring that it addresses strategic company issues.