Increase Predictability in Complex Engineering and Fabrication Projects

Knut Anders Lia1, Henning Ringerike2 & Bo Terje Kalsaas3

1M.Sc. graduate, Faculty of Engineering and Science, Department of Engineering Sciences, University of Agder, 4846 Grimstad, Norway, Mobile +47 90157441, e-mail: knutal12@student.uia.no
2M.Sc. graduate, Faculty of Engineering and Science, Department of Engineering Sciences, University of Agder, 4846 Grimstad, Norway, Mobile +47 95991232, e-mail: hennir09@student.uia.no
3M.Sc. graduate, Faculty of Engineering and Science, Department of Engineering Sciences, University of Agder, 4846 Grimstad, Norway, Mobile +47 95991232, e-mail: hennir09@student.uia.no

Abstract

This paper addresses alternative measures to add to the Last Planner System4 to increase predictability in the delivery of complex engineering and fabrication projects. Linear models have proven insufficient for planning and production control of design processes due to the iterative nature of design and engineering activities. In addition, practitioners have questioned the function of the Last Planner System in design. Thus, the purpose of the paper is to report research on the right combination of tools to increase predictability. The constructive research approach was used to analyze a case from the subsea oil and gas industry with low on-time delivery of documents and drawings. The construct divides the execution phase into a design phase and documentation and drawing phase. The design phase utilizes ideas from Scrum and the Last Planner System. Completion of documents and drawings are postponed until completion of a 3D model of the product, thus reducing the amount of negative iterations currently experienced. The documentation and drawing phase utilizes ideas from Critical Chain and the Last Planner System. It has been verified that the division of the execution phase is a significant improvement within the case enterprise, and we seek to generalize the findings.

Keywords

Design engineering, predictability, Last Planner, Scrum, Critical Chain

Files

Reference

Lia, K.A. , Ringerike, H. & Kalsaas, B.T. 2014, 'Increase Predictability in Complex Engineering and Fabrication Projects' In:, Kalsaas, B.T., Koskela, L. & Saurin, T.A., 22nd Annual Conference of the International Group for Lean Construction. Oslo, Norway, 25-27 Jun 2014. pp 437-449

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