Optimizing Workplace Layout to Reduce Material Handling Time: A Review

The study is limited by the synthetic origin of its data. Its arithmetic is reproducible, but its numerical magnitudes are not estimates for a named factory or a population of small enterprises. The route assumptions have not been checked against a physical building, and the lower waiting allowance is imposed rather than predicted. No claim is made about successful installation, worker acceptance, injury reduction, or sustained operational performance. The constant-speed model also omits acceleration, turning penalties, trolley availability, and load-dependent fatigue. A route with several constrained corners can take longer than a straighter route of equal length. The assumed return to origin may be conservative for a coordinated delivery system and inaccurate for a worker who continues directly to another assignment. These features can alter both absolute labour requirements and the ranking of alternatives. Within these boundaries, the study answers all three research questions. The improved route arrangement reduces handling labour at equal workload. Geometry alone saves 26.67 min per shift, while the combined scenario saves 41.07 min. The total benefit disappears if average waiting on the improved routes exceeds approximately 42.22 s per transfer under the other base assumptions. The central conclusion is that layout evaluation should report a time decomposition rather than infer handling savings directly from distance savings. An accessible route model can make the calculation auditable and expose the contribution of operating assumptions. In this illustrative case, unchanged loading and unloading limit the achievable percentage reduction and become the dominant residual activity after improvement. Data availability. The model inputs and calculation rules are reported in the methods and tables. All results can be reproduced from the disclosed dataset.

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 Anjos, M. F., & Vieira, M. V. C. (2021). Mathematical optimization approach for facility layout on several rows. Optimization Letters, 15, 9–23. https://doi.org/10.1007/s11590-020-01621-z 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 Pérez-Gosende, P., Mula, J., & Díaz-Madroñero, M. (2021). Facility layout planning. An extended literature review. International Journal of Production Research, 59(12), 3777–3816. https://doi.org/10.1080/00207543.2021.1897176 Pourvaziri, H., Pierreval, H., & Marian, H. (2021). Integrating facility layout design and aisle structure in manufacturing systems: Formulation and exact solution. European Journal of Operational Research, 290(2), 499–513. https://doi.org/10.1016/j.ejor.2020.08.012