Reconciling engineer-to-order uncertainty by supporting front-end decision-making

Iain Reid, David Bamford, Ismail Hossam

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents the dynamics of engineer-to-order (ETO) practice through Integration Definition for Function Modelling (IDEF) practice. The paper describes and defines how an ETO manufacturer utilised IDEF-QA in order to manage project uncertainties within the tendering process. The research is conceptualised through an empirical action research approach, involving an active role in the assessment of the ETO process. The paper revisits the use of IDEF, showcasing an assessment of output quality. It also suggests a road map for resource uncertainty within ETO, specifically when scoping the supply chain for ETO projects. The paper then presents an IDEF Quality Assessment for improving the tendering process of ETO and examines the importance of evaluating project behaviour for supporting new future projects. The principal contribution is in how a structured approach provides IDEF with a quality assessment of resources, thereby consolidating and establishing a relationship for highlighting the uncertainties experienced by ETO manufacturers within the decision-making process.
Original languageEnglish
Pages (from-to)6856-6874
Number of pages19
JournalInternational Journal of Production Research
Volume57
Issue number21
Early online date13 Dec 2018
DOIs
Publication statusPublished - 2 Nov 2019

Fingerprint

Decision making
Engineers
Uncertainty
Front-end
Supply chains
Modeling
Resources
Quality assessment
Tendering

Cite this

Reid, Iain ; Bamford, David ; Hossam, Ismail. / Reconciling engineer-to-order uncertainty by supporting front-end decision-making. In: International Journal of Production Research. 2019 ; Vol. 57, No. 21. pp. 6856-6874.
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Reconciling engineer-to-order uncertainty by supporting front-end decision-making. / Reid, Iain; Bamford, David; Hossam, Ismail.

In: International Journal of Production Research, Vol. 57, No. 21, 02.11.2019, p. 6856-6874.

Research output: Contribution to journalArticle

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