Lean Productivity in a Construction Supply Chain Rafaella Broft MSc Lean Productivity in a Construction Supply Chain Rafaella Broft MSc. | SCM Expert, Arpa | PhD Candidate, University College London

The Dutch construction industry (1) Represents 4.5% of the GNP and includes a production of 60 billion Euro ‘Conservative’ and non-innovative Cost of failure counting for 5-13% of the annual industry’s turnover A large number of SMEs and self-employed workers

The Dutch construction industry (2) After an economic crisis between 2008 and 2013, the direction changed – construction production grew with an average of 7% in 2016 Familiarity of many Dutch construction firms with Lean and SCM, and enthusiasm for the implementation of its principles

Problem statement Barriers to collaboration; highly adversarial and fragmented approached to relationships Lack of performance

Construction production (1) - Production-related characteristics (Broft & Koskela, 2018) Converging logistics to a common, fixed point Temporary and non-repetitive, one-off construction projects produced through repeated reconfiguration of project organisations Multiple and concurrent project Engineer-to-order production strategy

Construction production (2) - Production-related characteristics (Broft & Koskela, 2018) Based on two types of processes: small batch process and job process Worked on by several work stations at the same time in suboptimal conditions

Lean Supply Chain Management - The entire value stream (Broft, 2017) Lean production contributes to eliminate unnecessary complexity In Lean SCM, the entire flow from raw materials to consumer is considered as an integrated whole, where the interfaces between the different companies are thus seen as articifial

“The main contractor as production manager” Lean Supply Chain Management - The entire value stream “The main contractor as production manager”

Lean productivity in the supply chain - Experimenting as a supply chain

Thank you. Rafaella Broft MSc Thank you! Rafaella Broft MSc. | SCM Expert, Arpa | PhD Candidate, University College London