Research on the Optimization of the Facility Layout of Efficient Cafeterias for Troops
Authors: Qing Zhang, Jiachen Nie, Yujia Wen, Guanyuan Kou, Peng Yu, Kun Xia, Qin Yang, Li Ding
Abstract:
Background: A facility layout problem (FLP) is an NP-complete (non-deterministic polynomial) problem, for which is hard to obtain an exact optimal solution. FLP has been widely studied in various limited spaces and workflows. For example, cafeterias with many types of equipment for troops cause chaotic processes when dining. Objective: This article tried to optimize the layout of a troops’ cafeteria and to improve the overall efficiency of the dining process. Methods: First, the original cafeteria layout design scheme was analyzed from an ergonomic perspective and two new design schemes were generated. Next, three facility layout models were designed, and further simulation was applied to compare the total time and density of troops between each scheme. Last, an experiment of the dining process with video observation and analysis verified the simulation results. Results: In a simulation, the dining time under the second new layout is shortened by 2.25% and 1.89% (p<0.0001, p=0.0001) compared with the other two layouts, while troops-flow density and interference both greatly reduced in the two new layouts. In the experiment, process completing time and the number of interferences reduced as well, which verified corresponding simulation results. Conclusion: Our two new layout schemes are tested to be optimal by a series of simulation and space experiments. In future research, similar approaches could be applied when taking layout-design algorithm calculation into consideration.
Keywords: Troops’ cafeteria, layout optimization, dining efficiency, AnyLogic simulation, field experiment
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[1] Ahmadi, A., Pishvaee, M. S., & Akbari Jokar, M. R. A survey on multi-floor facility layout problems. Computers & Industrial Engineering, 2017, 107: 158-170. doi: https://doi.org/10.1016/j.cie.2017.03.015
[2] S, J. D. The NP-completeness column: An ongoing guide . Academic Press, 1988, 9(3): 502-524. doi: https://doi.org/10.1016/0196-6774(85)90012-4
[3] Patil, N., Gandhi, J., & Deshpande, V. Techniques for Solving Facility Layout Problem: A Survey. 3rd Afro-Asian International Conference on Science, Engineering & Technology, 2015.
[4] Drira, A., Pierreval, H., & Hajri-Gabouj, S. Facility layout problems: A survey . Annual Reviews in Control, 2007, 31(2): 255-267. doi: https://doi.org/10.1016/j.arcontrol.2007.04.001
[5] Khariwal, S., Kumar, P., & Bhandari, M. Layout improvement of railway workshop using systematic layout planning (SLP) – A case study. Materials Today: Proceedings, 2020, ISSN 2214-7853. doi: https://doi.org/10.1016/j.matpr.2020.10.444
[6] Van Donk, D. P., & Gaalman, G. Food Safety and Hygiene: Systematic Layout Planning of Food Processes. Chemical Engineering Research and Design, 2004, 82(11): 1485-1493. doi:https://doi.org/10.1205/cerd.82.11.1485.52037
[7] Reddy Gayam, N., Shanmuganandam, K., & Vinodh, D. Layouts in production industries: A review. Materials Today: Proceedings, 2020, ISSN 2214-7853. doi:https://doi.org/10.1016/j.matpr.2020.10.191
[8] Tayal, A., Gunasekaran, A., Singh, S. P., Dubey, R., & Papadopoulos, T. Formulating and solving sustainable stochastic dynamic facility layout problem: a key to sustainable operations. Annals of Operations Research, 2017, 253(1): 621–655. doi: https://doi.org/10.1007/s10479-016-2351-9
[9] Tayal, A., Solanki, A., & Singh, S. P. Integrated frame work for identifying sustainable manufacturing layouts based on big data, machine learning, meta-heuristic and data envelopment analysis. Sustainable Cities and Society, 2020, 62: 102383. doi: https://doi.org/10.1016/j.scs.2020.102383
[10] Li, X. Optimized design of kitchen system for EMU based on crew work flow. (in Chinese). Master. Southwest Jiaotong University, 2013
[11] Starke, S. D., Baber, C., Cooke, N. J., & Howes, A. Workflows and individual differences during visually guided routine tasks in a road traffic management control room. Applied Ergonomics, 2017, 61: 79-89. doi:https://doi.org/10.1016/j.apergo.2017.01.006
[12] A., J. K., M., N. D., Ken, C., Anjali, J., T., R. S., & H., A. J. Observational study of anaesthesia workflow to evaluate physical workspace design and layout . British Journal of Anaesthesia, 2020, 126(3): 633-641. doi: https://doi.org/10.1016/j.bja.2020.08.063
[13] Jalalianhosseini, M., Freihoefer, K., Doyle, N., & Simpson, A. The Impact of Infusion Center Layout on Workflow and Satisfactions in Two Cancer Infusion Centers: A Case Study on Staff and Patients. HERD: Health Environments Research & Design Journal, 2020, 13(3): 70-83. doi: https://doi.org/10.1177/1937586719888221
[14] Walter, S. R., Raban, M. Z., Dunsmuir, W. T. M., Douglas, H. E., & Westbrook, J. I. Emergency doctors' strategies to manage competing workload demands in an interruptive environment: An observational workflow time study. Applied Ergonomics, 2017, 58: 454-460. doi:https://doi.org/10.1016/j.apergo.2016.07.020
[15] Wang, X., & Zhang, Z. F. Research on the Restaurant Space Humanized Design. Advanced Materials Research, 2013, 2249: 579-583. doi: https://doi.org/10.4028/www.scientific.net/AMR.651.579
[16] Shimmura, T., Fujii, N., & Kaihara, T. Staff Motion Reduction at a Japanese Restaurant by Kitchen Layout Redesign after Kitchen Simulation. Procedia CIRP, 2017, 62: 106-110. doi: https://doi.org/10.1016/j.procir.2016.07.007
[17] Tanizaki, T., & Shimmura, T. Modeling and Analysis Method of Restaurant Service Process. Procedia CIRP, 2017, 62: 84-89. doi: https://doi.org/10.1016/j.procir.2016.06.076
[18] Song Si-rin & Lee Hyun. Development of Point Layout Algorithm Using BIM-based Dynamo - Focusing on the Restaurant Furniture Layout Plan -. Journal of the Korean Institute of Interior Design, 2020, 29(3): 167 - 174. doi: https://doi.org/10.14774/JKIID.2020.29.3.167
[19] IBM SPSS Statistics for Windows, version 27.0, IBMCorp., Armonk, N.Y., USA.