Automated Method Time Measurement System for Redesigning Dynamic Facility Layout
The dynamic facility layout problem is a really critical issue in the competitive industrial market; thus, solving this problem requires robust design and effective simulation systems. The sustainable simulation requires inputting reliable and accurate data into the system. So this paper describes an automated system integrated into the real environment to measure the duration of the material handling operations, collect the data in real-time, and determine the variances between the actual and estimated time schedule of the operations in order to update the simulation software and redesign the facility layout periodically. The automated method- time measurement system collects the real data through using Radio Frequency-Identification (RFID) and Internet of Things (IoT) technologies. Hence, attaching RFID- antenna reader and RFID tags enables the system to identify the location of the objects and gathering the time data. The real duration gathered will be manipulated by calculating the moving average duration of the material handling operations, choosing the shortest material handling path, and then updating the simulation software to redesign the facility layout accommodating with the shortest/real operation schedule. The periodic simulation in real-time is more sustainable and reliable than the simulation system relying on an analysis of historical data. The case study of this methodology is in cooperation with a workshop team for producing mechanical parts. Although there are some technical limitations, this methodology is promising, and it can be significantly useful in the redesigning of the manufacturing layout.Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 344
 V. Deshpande, N. Patil, V. Baviskar, J. Gandhi, Plant layout optimization using CRAFT and ALDEP methodology, Product. J. Natl. Product. Council 57 (1) (2016) 32–42. ISSN: 0032-9924.
 J. Li, X. Tan, J. Li, Research on dynamic facility layout problem of manufacturing unit considering human factors, Math. Probl. Eng. 2018 (2018), 6040561, 13 pages, doi.org/10.1155/2018/6040561
 Fantoni, G., Al-Zubaidi, S.Q., Coli, E. and Mazzei, D. (2020), "Automating the process of method-time-measurement", International Journal of Productivity and Performance Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJPPM-08-2019-0404
 Salam Qaddoori Dawood Al-Zubaidi, Gualtiero Fantoni, Franco Failli, Analysis of Drivers for Solving Facility Layout Problems: A Literature Review, Journal of Industrial Information Integration, March 2021 100187, https://doi.org/10.1016/j.jii.2020.100187.
 J. Balakrishnan, C. Cheng Dynamic layout algorithms: a state-of- the-art survey Int. J. Manag. Sci., 26 (4) (1998), pp. 507-521
 N. Hasan, F. Sepideh, M. Seyyed, G. Taghi, F. Mohammad Classification of facility layout problems: a review study Int. J. Adv. Manuf. Technol., 94 (2018), pp. 957-977, 10.1007/s00170-017-0895-8
 K. Mateusz, Chien-Ho Ko Facility layout design – review of current research directions Eng. Manag. Prod. Serv., 10 (3) (2018), pp. 70-79, 10.2478/emj-2018-0018.
 Patil N., Gandhi J. & Deshpande V. (2015). Techniques for solving facility layout problem: a survey AAICSET, 9, 352-360, ISBN: 9-780993-909238.
 McKendall, Alan R, Artak Hakobyan. (2010). Heuristics for the dynamic facility layout problem with unequal-area departments. European Journal of Operational Research 201(1) 171–182.
 Shahryar Rahnamayan, Hamid R. Tizhoosh, Magdy M.A. Salama, A novel population initialization method for accelerating evolutionary algorithms, Computers & Mathematics with Applications. Volume 53, Issue 10, May 2007, Pages 1605–1614
 A. Ebrahimi, R Kia, A. Komijan, Solving a mathematical model integrating unequal area facilities layout and part scheduling in a cellular manufacturing system by a genetic algorithm, SpringerPlus 4 (1) (2016) 1254, https://doi.org/10.1186/s40064-016-2773-5.
 Domingo, R., (2007) Materials flow improvement in a lean assembly line, Assembly Automation, Vol. 27, No. 2, pp.141–147, ISSN: 1741-0387
 A. Noor, K. Abu Bakar, S. Dahan, A. Adham, S. Sorooshian, Improvingproductivity by simulate facility layout: a case study in a car component manufacturer, Int. J. Ind. Manag. 2 (2016) 72–80, e-ISSN: 0127-564x.
 Cselényi, J.; Illés, B. Planning and Controlling of Material Flow Systems; textbook; Miskolci Egyetemi Kiadó: Miskolc, Hungary, 2006.
 R. Raminfar, N. Zulkifli, M. Vasili, T.S. Hong, An integrated model for production planning and cell formation in cellular manufacturing systems, J. Appl. Math. 2013 (2013), 487694 doi.org/10.1155/2013/487694.