Towards multi-project simulation of a lean production system for customized apartment buildings

Samuel Korb, Rafael Sacks

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In typical construction projects, general contractors devote significant resources to coordinate the work of multiple subcontractors. Subcontractors and general contractors interests are frequently misaligned, and they strive for local optima. In particular, subcontractors balance the demands of different projects as they search to deploy their resources most productively. The problems are exacerbated where customization, such as tailoring of apartments by clients, disrupts workflow. Separation of standard (structure, public spaces) from customized work (apartment interiors) may drastically improve the production system. Separation represents a fundamental change to industry practice. Evaluating separation requires experimentation on a multi-project scale; agent-based simulation is the only practical research method. Simulations of single project systems showed that Lean interventions improve productivity, cash flow and project duration. Recent work with agent-based simulation with two projects and eight subcontractors has shown that the standard/customized work separation provides additional advantages. Future work will extend the simulations to multiple projects.

Original languageEnglish
Title of host publicationWSC 2018 - 2018 Winter Simulation Conference
Subtitle of host publicationSimulation for a Noble Cause
Pages3897-3908
Number of pages12
ISBN (Electronic)9781538665725
DOIs
StatePublished - 2 Jul 2018
Event2018 Winter Simulation Conference, WSC 2018 - Gothenburg, Sweden
Duration: 9 Dec 201812 Dec 2018

Publication series

NameProceedings - Winter Simulation Conference
Volume2018-December

Conference

Conference2018 Winter Simulation Conference, WSC 2018
Country/TerritorySweden
CityGothenburg
Period9/12/1812/12/18

All Science Journal Classification (ASJC) codes

  • Software
  • Modelling and Simulation
  • Computer Science Applications

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