Abstract
Flexible manufacturing system (FMS) is one of the solutions that enables any manufacturing system to withstand changing requirements of the market. An FMS consists of different automated workstations, material handling devices, and storage systems, all of which work under computer control. In the present work, analysis and modeling of a real problem has been considered for performance improvement. Modeling is done for analyzing the performance of an existing model, to propose a new layout for the system. Effect of factors like part mix, layout type, and batching condition, on the system performance in terms of productivity, system utilization rate, and cycle time is analyzed. The work includes simulation study along with Taguchi’s experimental design framework for studying how different factors with varying levels affect system performance. ProModel software is used for simulating existing and proposed models of the manufacturing firm. Further, analysis of variance (ANOVA) is employed for finding the most important factor that affects system performance. Proposed methodology helps in determining best factor-level combination for each performance parameter. The results show that the system performs well with the implementation of loop layout having many numbers of batches. Towards the end, the scope of further is highlighted.
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References
Arshad M, Milana M, Khan MK (2016) Scheduling of three layouts using four scheduling rules. Proceedings-International Conference on Industrial Engineering and Operations Management, Kula Lumpur, Malaysia, March 8–10: 2539–2548
Dosdogru AT, Gocken M, Geyik F (2015) Integration of genetic algorithm and Monte Carlo to analyze the effect of routing flexibility. Int J Adv Manuf Technol 81:1379–1389
Florescu A, Baarabas S, Sarbu F (2017) Operational parameters estimation for a flexible manufacturing system: a case study. MATEC Web of conference 112: 01–06
Gyulai D, Pfeiffer A, Monostori L (2016) Robust production planning and control for multi-stage systems with flexible final assembly lines. Int J Prod Res 55(13):3657–3673
He Y, Stecke KE, Smith ML (2016) Robot and machine scheduling with state-dependent part input sequencing in flexible manufacturing systems. Int J Prod Res 54(22):6736–6746
Yadav A, Jayswal SC (2018) Modelling of flexible manufacturing system: a review. Int J Prod Res 56(7):2464–2487
Yang T, Peters BA, Tu M (2005) Layout design for flexible manufacturing system considering single-loop directional flow patterns. Eur J Oper Res 164:440–455
Groover MP (2007) Automation, production systems, and computer integrated manufacturing, 3rd edn. Prentice Hall Press Upper Saddle River, NJ
Browne J, Dubois D, Rathmill K, Seth SP, Stecke KE (1984) Classification of flexible manufacturing systems. FMS Mag 2:114–117
Sethi AK, Sethi SP (1990) Flexibility in manufacturing: a survey. Int J Flex Manuf Syst Serv Oper Manag 2(4): 289–328
Chan FTS (2001) The effects of routing flexibility on a flexible manufacturing system. Int J Comput Integr Manuf 14(5):431–445
Joseph A, Sridharan R (2011) Evaluation of routing flexibility of a flexible manufacturing system using simulation modelling and analysis. Int J Adv Manuf Technol 56:273–289
Francas D, Lohndorf N, Minner S (2011) Machine and labor flexibility in manufacturing network. Int J Prod Econ 131:165–174
Verma A, Mishra N, Singh RK (2011) Effect of machine flexibility on the performance of FMS subjected to frequent breakdowns. Int J Serv Oper Informatics 6(1–2):45–70
Singholi A, Ali M, Sharma C (2013) Evaluating the effect of machine and routing flexibility on flexible manufacturing system performance. Int J Serv Oper Manag 16(2):240–261
Singholi A (2015) Impact of manufacturing flexibility and pallets on buffer delay in flexible manufacturing systems. Int J Eng Manag Econ 5(3):308–330
Potts CN, Whitehead JD (2001) Workload balancing and loop layout in the design of a flexible manufacturing system. Eur J Oper Res 129:326–336
Srinivas C, Ramji K, Satyanarayana B, Ravela N (2013) Simulation based layout design of large sized multi-row flexible manufacturing system. J Eng Arch 1(1):34–44
Gingu EI, Zapciu M (2014) Improving layout and workload of manufacturing system using Delmia Quest simulation and inventory approach. Int J Innov Res Adv Eng 1(6):52–61
Shivhare M, Bansal S (2014) Layout optimization in flexible manufacturing system using particle swarm optimization in Matlab. Int J Soft Eng App 8(7):55–64
Lashkari RS, Dutta SP, Padhye AM (1987) A new formulation of operation allocation problem in flexible manufacturing systems: mathematical modelling and computational experience. Int J Prod Res 25:1267–1283
Tiwari MK, Vidyarthi NK (2000) Solving machine loading problems in a flexible manufacturing system using a genetic algorithm based heuristic approach. Int J Prod Res 38(14):3357–3384
Suresh NC (1990) Toward an integrated evaluation of flexible automation investment. Int J Prod Res 28:1657–1672
Yao DD, Buzacott JA (1985) Modelling the performance of flexible manufacturing systems. Int J Prod Res 23(5):945–959
Matsui M, Uehara S, Jingsong M (2001) Performance evaluation of flexible manufacturing systems with finite local buffers: fixed and dynamic routings. Int J Flex Manuf Syst 13:405–424
Chan FTS (2003) Effects of dispatching and routeing decisions on the performance of a flexible manufacturing system. Int J Adv Manuf Technol 21:328–338
Binghai Z, Lifeng X, Yongshang C (2004) A heuristic algorithm to batching and loading problems in a flexible manufacturing system. Int J Adv Manuf Technol 23:903–908
Caprihan R, Wadhwa S (2005) Scheduling of FMS with information delays: a simulation study. Int J Flex Manuf Syst 17:39–65
Chan FTS, Bhagwat R, Wadhwa S (2008) Comparative performance analysis of a flexible manufacturing system (FMS): a review-period-based control. Int J Prod Res 46(1):1–24
Wahab MIM, Stoyan SJ (2008) A dynamic approach to measure machine and routing flexibilities of manufacturing systems. Int J Prod Econ 113(2):895–913
Ahkioon S, Bulgak AA, Bektas T (2009) Cellular manufacturing systems design with routing flexibility, machine procurement, production planning and dynamic system reconfiguration. Int J Prod Res 47(6):1573–1600
Kumar RMS, Asokan P, Kumanan S (2008) Design of loop layout in flexible manufacturing system using non-traditional optimization technique. Int J Adv Manuf Technol 38:594–599
Kumar MVS, Janardhana R, Rao CSP (2011) Simultaneous scheduling of machines and vehicles in an FMS environment with alternative routing. Int J Adv Manuf Technol 53:339–3511
Ali M, Wadhwa S (2010) The effect of routing flexibility on a flexible system of integrated manufacturing. Int J Prod Res 48(19):5691–5709
Barad M (2013) Flexibility development - a personal retrospective. Int J Prod Res 51(23–24):6803–6816
Jain V, Raj T (2016) Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach. Int J Prod Econ 171:84–96
Kumar R (2016) Simulation of manufacturing system at different part mix ratio and routing flexibility. Gl J Ent Info Sys 8(1):09–14
Rybicka J, Tiwari A, Enticott S (2016) Testing a flexible manufacturing system facility production capacity through discrete event simulation: automotive case study. Int J Mech Aero Ind Mechatronice Manuf Eng 10(4):668–672
Mahmood K, Karaulova T, Otto T, Shevtshenko E (2017) Performance analysis of a flexible manufacturing system performance. The 50th CIRP conference on manufacturing systems, Procedia CIRP-63: 424–429
Phadke SM (1989) Quality engineering using robust design. Prentice Hall, Englewood Cliffs
Solberg JJ (1981) Capacity planning with stochastic workflow model. AIIE Trans 13(2):116–122
Mejabi O (1988) Modeling in flexible manufacturing system design. Ph.D Dissertation, Lehigh University, Bethlehem, Pennsylvania
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The authors acknowledge the anonymous referee of this paper for his or her valuable suggestions, which have helped to improve the quality of this paper.
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Yadav, A., Jayswal, S.C. Evaluation of batching and layout on the performance of flexible manufacturing system. Int J Adv Manuf Technol 101, 1435–1449 (2019). https://doi.org/10.1007/s00170-018-2999-1
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DOI: https://doi.org/10.1007/s00170-018-2999-1