Manufacturing system optimization using computer-based control kanban loops

Authors

  • Chukwuedozie N Ezema 1Department of Electronic & Computer Engineering, Nnamdi Azikiwe University Awka, Nigeria
  • Nnenna Harmony Nwobodo-Nzeribe Department of Computer Engineering, Coordinator Biomedical Engineering Technology Enugu St, Nigeria
  • Joy Nnenna Eneh Department of Electronic Engineering, University of Nigeria, Nsukka
  • Uche C Ogbuefi Department of Electrical Engineering, University of Nigeria, Nigeria
  • Muncho Josephine Mbunwe Department of Electrical Engineering, University of Nigeria Nsukka, Nigeria
  • Boniface Onyemaechi Anyaka Department of Electrical Engineering, University of Nigeria, Nsukka, Nigeria
  • John Ndubisi Ngene Department of Computer Science, Enugu State University of Science and Technology, Nigeria

DOI:

https://doi.org/10.3329/bjsir.v57i4.61400

Keywords:

Code generation; Kanban rule; Arena interface; System performance; JIT system model

Abstract

The study assessed manufacturing system optimization using computer-based control kanban loops. The study assessed JIT's effect on average throughput-time, demand fill rate, net operating income for a certain product mix complexity and manufacturing overhead level. ARENA/SIMAN and WITNESS simulation tools were used to study implementation. The Drug Process Plant's JIT system reduced end buffer inventory, shortened customer lead time, and improved visual control. The mean response of the simulated new physical system in terms of NOI was 85.54 but gave a mean response of 85.30 when implemented on the shop floor. The mean response of the simulated new physical system in terms of cycle time was 617 but gave a mean response of 634 when implemented on the shop floor. Simulated new physical system in terms of DFR gave a mean response of 93.11 when implemented on the shop floor. Overwhelmingly, the new JIT system outperformed the old physical system.

Bangladesh J. Sci. Ind. Res. 57(4), 221-228, 2022

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Published

2022-12-25

How to Cite

Ezema, C. N., Nwobodo-Nzeribe , N. H. ., Eneh , J. N. ., Ogbuefi , U. C., Mbunwe, M. J. . ., Anyaka , B. O., & Ngene , J. N. . (2022). Manufacturing system optimization using computer-based control kanban loops. Bangladesh Journal of Scientific and Industrial Research, 57(4), 221–228. https://doi.org/10.3329/bjsir.v57i4.61400

Issue

Vol. 57 No. 4 (2022)

Section

Articles

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