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EXPORT DATE: 3 May 2024

@CONFERENCE{Abdel-Jaber2022,
author={Abdel-Jaber, Omar  and Itani, Anas  and Al-Hussein, Mohamed  },
editor={ },
title={Hybrid Lean Decision-Making Framework Integrating Value Stream Mapping and Simulation: A Manufacturing Case Study}, 
journal={Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)}, 
booktitle={Proc. 30th Annual Conference of the International Group for Lean Construction (IGLC)}, 
year={2022},
pages={153-163},
url={http://www.iglc.net/papers/details/1953},
doi={10.24928/2022/0118},
affiliation={ MSc. Student, Hole School of Construction Engineering, University of Alberta, Edmonton, Canada,  abdeljab@ualberta.ca, orcid.org/0000-0001-8856-3374 ;  PhD. Student, Hole School of Construction Engineering, University of Alberta, Edmonton, Canada,  aitani@ualberta.ca, orcid.org/0000-0001-5516-8829 ; Professor, Hole School of Construction Engineering, University of Alberta, Edmonton, Canada,  malhussein@ualberta.ca, orcid.org/0000-0002-1774-9718  },
abstract={Lean value stream mapping has been applied extensively in manufacturing settings to benefit the industrial sector by boosting productivity, improving product quality, and decreasing capital costs, in turn leading to customer satisfaction and manufacturer profitability. Notwithstanding the benefits, lean value stream mapping can be enhanced to dynamically reflect the statistical productivity and economic improvements to enhance the process efficiency of production lines. Findings reported in the literature points to the benefits of integrating simulation-based tools with traditional lean value stream mapping in a hybrid framework to validate the feasibility of a given improvement. The main criteria are to reduce lean waste, increase productivity, and dynamically optimize manufacturing trade-offs for push–pull and just-in-time production systems by enhancing the efficacy of lean value stream mapping using a simulation-based approach. In this context, the proposed framework leverages value stream mapping to visualize the production system's current state. It then integrates the discrete-event simulation model in order to assess the various lean improvement scenarios proposed that to transform the system to its future state. The framework is implemented in a window manufacturing production stream to test and validate its feasibility in a mass customization environment. The case study results demonstrate the value of the framework in assisting decisionsmakers to evaluate different scenarios and visualize their impact for better transform },
author_keywords={Lean value stream mapping, simulation-based, push–pull, just-in-time, mass  customization },
address={Edmonton, Canada },
issn={2309-0979 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}