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Principles for the design and operation of engineer-to-order supply chains in the construction sector

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journal contribution
posted on 2015-06-16, 15:16 authored by Jonathan Gosling, Denis R. Towill, Mohamed M. Naim, Andrew Dainty
By integrating the approaches of Forrester and Burbidge [Forrester, J. W. 1961. Industrial Dynamics. Pegasus Communications; Burbidge, J. L. 1961. "The "New Approach" to Production." Production Engineer 40: 769-784], a set of five design principles have emerged which provide a foundation for sound supply chain design. The 'FORRIDGE' principles have since been shown to be a powerful guide for effective design of make-to-stock supply chains. However, some have questioned the applicability of generic supply chain thinking, arguing for a tailored approach. Hence, the goal here is to investigate how these principles should be adapted for engineer-to-order (ETO) industries, such as construction, capital goods and shipbuilding. The empirical elements draw on an extensive study of 12 suppliers and two large contractors in the construction industry. Supply chain tactics are identified for this range of companies, which are matched with real world problems, and linked with the FORRIDGE principles. This results in an additional 'Design for X' principle being proposed. The contributions made are the adaptation of established principles for the ETO sector, and the framework behind these principles.



  • Architecture, Building and Civil Engineering

Published in

Production Planning and Control


GOSLING, J. ... et al, 2014. Principles for the design and operation of engineer-to-order supply chains in the construction sector. Production Planning and Control, 26 (3), pp. 203-218.


© Taylor and Francis


  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date



This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 26 February 2014, available online: http://wwww.tandfonline.com/10.1080/09537287.2014.880816






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