Improvement of Value Stream Mapping by Integrating a Monte Carlo Simulation: A Conceptual Model

• Autorzy: Alaa Salahuddin Araibi , Mohamad Shaiful Ashrul Ishak , Muhanad Hatem Shadhar
• Języki publikacji: EN

Abstrakty

EN

Value stream mapping (VSM) is a well-known lean analytical tool in identifying wastes, value, value stream, and flow of materials and information. However, process variability is a waste that traditional VSM cannot define or measure since it is considered as a static tool. For that, a new model named Variable Value Stream Mapping (V-VSM) was developed in this study to integrate VSM with risk management (RM) using Monte Carlo simulation. This model is capable of generating performance statistics to define, analyze, and show the impact of variability within VSM. The platform of this integration is under Deming's Plan-Do-Check-Act (PDCA) cycle to systematically implement and conduct V-VSM model. The model has been developed and designed through literature investigation and reports that lead in defining the main four concepts named as; Continuous Improvement, Data Variability, Decision-Making, and Data Estimation. These concepts can be considered as connecting points between VSM, RM and PDCA. (original abstract)

Słowa kluczowe

EN

Lean production; Value Stream Mapping (VSM); Risk management; Monte Carlo simulation

PL

Odchudzanie produkcji; Mapowanie Strumienia Wartości (VSM); Zarządzanie ryzykiem; Symulacja Monte Carlo

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2023
• Tom: 14
• Numer: nr 1
• Strony: 72--86

Twórcy

autor

Alaa Salahuddin Araibi

• Dijlah University College, Iraq

autor

Mohamad Shaiful Ashrul Ishak

• Universiti Malaysia Perlis, Malaysia

autor

Muhanad Hatem Shadhar

• Dijlah University College, Iraq

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Identyfikatory

DOI

10.24425/mper.2023.145367