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Feasibility study of process flow efficiency using value stream mapping and simulation applications

Muhammad Ibadurrahman & Rosmaini Ahmad

International Journal of Productivity and Quality Management2026https://doi.org/10.1504/ijpqm.2026.151777article
AJG 1
Weight
0.50

What the paper says

This paper presents a feasibility study to optimise the efficiency of a production flow. This study applied the value stream mapping (VSM) technique and simulation approach to analyse to what extent the current company improvement effort benefits the company, then proposed an extended improvement strategy based on the LM approach. Initial results identified two main problems; bottleneck issues and an imbalance workload of operators. Simulation results revealed the previous improvement efforts carried out by the company are insignificant in reducing the bottleneck issue. Simulation results indicate the new improvement proposal be able to reduce the busy time of operators at IPP workstations from 94% to 69%, and increase the operators utilisation at OBP workstations from 44% to 95%. The new proposal also shows an increment of the final productivity to 96 boxes compared to 91 boxes based on current improvements initiated by the company.

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https://doi.org/https://doi.org/10.1504/ijpqm.2026.151777

Or copy a formatted citation

@article{muhammad2026,
  title        = {{Feasibility study of process flow efficiency using value stream mapping and simulation applications}},
  author       = {Muhammad Ibadurrahman & Rosmaini Ahmad},
  journal      = {International Journal of Productivity and Quality Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijpqm.2026.151777},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.