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  5. Advanced value stream mapping: development of a conceptual model considering variability in production processes
 
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Advanced value stream mapping: development of a conceptual model considering variability in production processes

Journal
SAE International Journal of Materials and Manufacturing
ISSN
1946-3979
1946-3987
Date Issued
2023
Author(s)
Alaa Salahuddin Araibi
University of Baghdad
Mohamad Shaiful Ashrul Ishak
Universiti Malaysia Perlis
Muhanad Hatem Shadhar
Dijlah University College
DOI
10.4271/05-16-04-0025
Handle (URI)
https://hdl.handle.net/20.500.14170/14604
Abstract
Recently, lean manufacturing (LM) practices are being combined with tools and techniques that belong to other areas of knowledge such as risk management (RM). Value stream mapping (VSM) is a well-known tool in showing the value, the value stream, and the flow, which represents the three lean principles. VSM and RM, when used in tandem with one another, are more advantageous in covering VSM issues such as the variability of production processes. In this article, a conceptual model that integrates the two is shown and explained. The model helps to generate scenarios of current state map (CSM) and future state map (FSM) in a dynamic way by identifying current and potential risks. These risks might happen in the future, bringing with it negative ramifications including not reaching the main objectives within the defined time. The model has been tested in a coffee production company belonging to health and food sector. The proposed model specified the ranges of variability through the drawing of CSM and FSM. This is quite a milestone because one of the challenges of VSM is that it is a static tool, and, as such, process variability cannot be captured appropriately. This new model is expected to overcome this drawback.
Subjects
  • Lean manufacturing

  • Monte Carlo simulatio...

  • Risk management

  • Value stream mapping

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Advanced value stream mapping: Development of a conceptual Model Considering Variability in production processes (13.36 KB)
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