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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM10027

Workplace Layout Optimization: A Systematic Approach to Minimize Operator Fatigue & Material Handling Bottlenecks

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM10027

Volume:

5 |

7 |

Jul 2021

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM10027

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

VT

Vandana Tiwari

Mechanical Engineering

Govt. Polytechnic College, Sanawad

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Abstract

Worker movement and material travel are often combined into one distance indicator, although they describe different physical flows. This paper develops a dual-accounting model for a xyz small manufacturing unit with seven process areas. A synthetic route dataset compares existing and improved arrangements at a common workload of 240 units in twelve batches. Loaded material travel is evaluated independently from empty return walking and ancillary supply movement. The cumulative loaded route decreases from 114 to 50 m per batch, reducing loaded carrier travel from 1,368 to 600 m per reference shift, or 56.14%. Worker travel, including equal-distance returns and explicitly assumed ancillary walks, decreases from 3,456 to 1,440 m, or 58.33%. Part-distance falls from 27,360 to 12,000 unit-metres while the number of material transfers remains unchanged. A geometry-only comparison separates relocation benefits from point-of-use supply assumptions. Sensitivity tests examine unequal route frequencies, return policies, and additional detours. The contribution is a reproducible distinction between route length, carrier-distance, part-distance, and worker-distance. The results demonstrate conditional movement reduction without claiming measured ergonomic improvements, collision reduction, or an implemented factory redesign.

KEYWORDS

worker movement; material travel distance; workplace layout; from-to analysis; point-of-use storage; route accounting

Cite This Article

Vandana Tiwari, "Workplace Layout Optimization: A Systematic Approach to Minimize Operator Fatigue & Material Handling Bottlenecks," International Journal of Scientific Research in Engineering and Management, vol. 5, no. 7, pp. 1-7, Jul 2021. https://doi.org/10.55041/IJSREM10027

Full Article/Conclusion

The route dataset is synthetic and contains no empirical worker trajectories. Consequently, the results quantify a specified scenario rather than demonstrate effectiveness at an operating facility. The model also excludes mixed product families, rework loops, variable container fill, and unplanned retrieval. Its equal return-distance rule is transparent but may not match multi-stop transport or opportunistic task chaining. A further limitation is the absence of a dimensioned layout. The route values are not certified shortest paths through a measured floor area. Equipment clearances and access restrictions could increase travel or invalidate an assumed adjacency. This limits interpretation of the improved scenario to a design target and prevents any claim that the arrangement is ready for physical installation. Within the defined boundary, loaded carrier-distance decreases by 56.14%, from 1,368 to 600 m per reference shift. Total defined worker-distance decreases by 58.33%, from 3,456 to 1,440 m. Route geometry alone produces a 44.44% worker-distance reduction; shorter ancillary supply trips account for the additional benefit. All results retain the original 72 loaded transfers. The main conclusion is that movement evaluation requires separate accounting for material and people. A shorter product route can understate the total walking benefit when empty returns also shrink, but it cannot establish fewer handling events or safer work. A robust interpretation therefore reports both the distance change and the unchanged elements of the handling task. Data availability. The model inputs and calculation rules are reported in the methods and tables. All results can be reproduced from the disclosed dataset.

References

Anjos, M. F., & Vieira, M. V. C. (2017). Mathematical optimization approaches for facility layout problems: The state-of-the-art and future research directions. European Journal of Operational Research, 261(1), 1–16. https://doi.org/10.1016/j.ejor.2017.01.049 De Carlo, F., Arleo, M. A., Borgia, O., & Tucci, M. (2013). Layout design for a low capacity manufacturing line: A case study. International Journal of Engineering Business Management, 5, 1–10. https://doi.org/10.5772/56883 Dombrowski, U., & Ernst, S. (2013). Scenario-based simulation approach for layout planning. Procedia CIRP, 12, 354–359. https://doi.org/10.1016/j.procir.2013.09.061 Hosseini-Nasab, H., Fereidouni, S., Fatemi Ghomi, S. M. T., & Fakhrzad, M. B. (2018). Classification of facility layout problems: A review study. The International Journal of Advanced Manufacturing Technology, 94, 957–977. https://doi.org/10.1007/s00170-017-0895-8 Jayachitra, R., & Prasad, P. S. S. (2010). Design and selection of facility layout using simulation and design of experiments. Indian Journal of Science and Technology, 3(4), 437–446. https://doi.org/10.17485/ijst/2010/v3i4.20 Kikolski, M., & Ko, C.-H. (2018). Facility layout design—Review of current research directions. Engineering Management in Production and Services, 10(3), 70–79. https://doi.org/10.2478/emj-2018-0018

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Publication Date

7/27/2021

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Double-Blind Peer Review

Review Rounds: 2

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