Modelling of flexible manufacturing system: a review

References

• Ahkioon, S., A. A. Bulgak, and T. Bektas. 2009. “Cellular Manufacturing Systems Design with Routing Flexibility, Machine Procurement, Production Planning and Dynamic System Reconfiguration.” International Journal of Production Research 47 (6): 1573–1600.10.1080/00207540701581809
   Web of Science ®Google Scholar
• Ali, M., and S. Wadhwa. 2010. “The Effect of Routing Flexibility on a Flexible System of Integrated Manufacturing.” International Journal of Production Research 48 (19): 5691–5709. doi:10.1080/00207540903100044.
   Web of Science ®Google Scholar
• Arshad, M., M. Milana, and M. K. Khan. 2016. “Scheduling of Three Layouts Using Four Scheduling Rules.” Proceedings- International Conference on Industrial Engineering and Operations Management, Kula Lumpur, March 8–10, 2539–2548.
   Google Scholar
• Ayag, Z., and R. G. Ozdemir. 2006. “A fuzzy AHP approach to evaluating machine tool alternatives.” International Journal of Intelligent Manufacturing 17 (2): 179–190.10.1007/s10845-005-6635-1
   Web of Science ®Google Scholar
• Barad, M. 2013. “Flexibility Development – A Personal Retrospective.” International Journal of Production Research 51 (23–24): 6803–6816. doi:10.1080/00207543.2012.756593.
   Web of Science ®Google Scholar
• Baruwa, O. T., and M. A. Piera. 2015. “Identifying FMS Repetitive Patterns for Efficient Search-Based Scheduling Algorithm: A Colored Petri Net Approach.” Journal of Manufacturing Systems 35: 120–135.10.1016/j.jmsy.2014.11.009
   Web of Science ®Google Scholar
• Basak, O., and Y. E. Albayrak. 2015. “Petri Net Based Decision System Modeling in Real-Time Scheduling and Control of Flexible Automotive Manufacturing Systems.” Computers and Industrial Engineering 86: 116–126.10.1016/j.cie.2014.09.024
   Web of Science ®Google Scholar
• Bokhorst, J. A. C., J. Slomp, and N. C. Suresh. 2002. “An Integrated Model for Part Operation Allocation and Investments in CNC Technology.” International Journal of Production Economics 75: 267–285.10.1016/S0925-5273(01)00118-9
   Web of Science ®Google Scholar
• Borenstein, D. 1998a. “A Visual Interactive Multi Criteria Decision Analysis Model for FMS Design.” International Journal of Advance Manufacturing Technology 14: 848–857.10.1007/BF01350769
   Web of Science ®Google Scholar
• Borenstein, D. 1998b. “Intelligent Decision Support System for Flexible Manufacturing System Design.” Annals of Operation Research 77: 129–156.10.1023/A:1018969126418
   Web of Science ®Google Scholar
• Bramhane, R., A. Arora, and H. Chandra. 2014. “Simulation of Flexible Manufacturing System Using Adaptive Neuro Fuzzy Hybrid Structure for Efficient Job Sequencing and Routing.” International Journal of Mechanical Engineering and Robotics Research 3 (4): 33–48.
   Google Scholar
• Browne, J., D. Dubois, K. Rathmill, S. P. Seth, and K. E. Stecke. 1984. “Classification of Flexible Manufacturing Systems.” FMS Magazine, April, 114–117.
   Google Scholar
• Buyurgan, N., and C. Saygin. 2008. “Application of the Analytical Hierarchy Process for Real Time Scheduling and Part Routing in Advanced Manufacturing Systems.” International Journal of Manufacturing Science 27: 101–110.
   Google Scholar
• Buyurgan, N., C. Saygin, and S. E. Killic. 2004. “Tool Allocation in Flexible Manufacturing System with Tool Alternatives.” Robotics and Computer Integrated Manufacturing 20: 341–349.10.1016/j.rcim.2004.01.001
   Web of Science ®Google Scholar
• Buzacott, J. A. 1982. “The Fundamental Principles of Flexibility in Manufacturing Systems.” Proceedings of the 1st International Conference on Flexible Manufacturing Systems, Brighton, 13–22.
   Google Scholar
• Buzacott, J. A., and J. G. Shanthikumar. 1980. “Models for Understanding Flexible Manufacturing Systems.” AIIE Transactions 12 (4): 339–350.10.1080/05695558008974526
   Web of Science ®Google Scholar
• Caprihan, R., and S. Wadhwa. 2005. “Scheduling of FMS with Information Delays: A Simulation Study.” International Journal of Flexible Manufacturing System 17: 39–65.10.1007/s10696-005-5993-5
   Google Scholar
• Chan, F. T. S. 2001. “The Effects of Routing Flexibility on a Flexible Manufacturing System.” International Journal of Computer Integrated Manufacturing 14 (5): 431–445.10.1080/09591120010021793
   Web of Science ®Google Scholar
• Chan, F. T. S. 2003. “Effects of Dispatching and Routeing Decisions on the Performance of a Flexible Manufacturing System.” International Journal of Advance Manufacturing Technology 21: 328–338.10.1007/s001700300038
   Web of Science ®Google Scholar
• Chan, F. T. S., B. Jiang, and N. K. H. Tang. 2000. “The Development of Intelligent Decision Support Tools to Aid the Design of Flexible Manufacturing Systems.” International Journal of Production Economics 65: 73–84.10.1016/S0925-5273(99)00091-2
   Web of Science ®Google Scholar
• Chan, F. T. S., R. Bhagwat, and S. Wadhwa. 2008. “Comparative Performance Analysis of a Flexible Manufacturing System (FMS): a Review Period Based Control.” International Journal of Production Research 46 (1): 1–24.10.1080/00207540500521188
   Web of Science ®Google Scholar
• Chandrasekharan, M. P., and R. Rajagopalan. 1986. “An Ideal Seed Non Hierarchical Clustering Algorithm for Cellular Manufacturing.” International Journal of Production Research 24: 451–463.10.1080/00207548608919741
   Web of Science ®Google Scholar
• Chatterjee, P., and S. Chakraborty. 2014. “FMS Selection Using Preference Ranking Method: A Comparative Study.” International Journal of Industrial Engineering Computations 5: 315–338.10.5267/j.ijiec.2013.10.002
   Google Scholar
• Cheng, H. C., and D. Y. K. Chan. 2011. “Simulation Optimization of Part Input Sequence in a Flexible Manufacturing System.” Proceedings of the Winter Simulation Conference, Phoenix, AZ, December 11–14, 2374–2382.
   Google Scholar
• Chung, C. H. 1999. “Planning Tool Requirements for Flexible Manufacturing Systems.” International Journal of Manufacturing System 10 (6): 713–720.
   Google Scholar
• Chung, C., and Q. Peng. 2004. “The Selection of Tools and Machines on Web Based Manufacturing Environments.” International Journal of Machine Tools and Manufacture Design Research and Application 44: 317–326.
   Web of Science ®Google Scholar
• Chung, Y. L., H. Matsuo, and R. S. Sullivan. 1989. “A Bottleneck Based Beam Search for Job Scheduling in a Flexible Manufacturing System.” International Journal of Production Research 27 (11): 1949–1961.10.1080/00207548908942666
   Web of Science ®Google Scholar
• Cimren, E., B. Catay, and D. Budak. 2007. “Development of a Machine Tool Selection System Using AHP.” International Journal of Advance Manufacturing Technology 2007 (35): 363–376.10.1007/s00170-006-0714-0
   Web of Science ®Google Scholar
• Das, K., M. F. Baki, and X. Li. 2009. “Optimization of Operation and Change over Time for Production Planning and Scheduling in a flexible Manufacturing System.” Computers and Industrial Engineering 56: 283–293.10.1016/j.cie.2008.06.001
   Web of Science ®Google Scholar
• Dosdogru, A. T., M. Gocken, and F. Geyik. 2015. “Integration of Genetic Algorithm and Monte Carlo to Analyze the Effect of Routing Flexibility.” International Journal of Advanced Manufacturing Technology 81: 1379–1389.10.1007/s00170-015-7247-3
   Web of Science ®Google Scholar
• Elsayed, E. A., and T. Y. Kao. 1990. “Machine Assignments in Production System with Manufacturing Cells.” International Journal of Production Research 28: 489–501.10.1080/00207549008942732
   Web of Science ®Google Scholar
• Erdin, M. E., and A. Atmaca. 2014. “Implementation of an Overall Design of a Flexible Manufacturing System.” 8th International Conference Inter disciplinarily in Engineering, INTER-EN, Tirgu-Mures: Procedia Technology 19: 9–10.
   Google Scholar
• Florescu, A., S. Baarabas, and F. Sarbu. 2017. “Operational Parameters Estimation for a Flexible Manufacturing System: A Case Study.” MATEC Web of Conference 112: 1–6.
   Google Scholar
• Ghosh, B. K. 1990. “Equipment Investment Decision Analysis in Cellular Manufacturing.” International Journal of Operations and Production Management 10: 5–520.10.1108/01443579010138527
   Google Scholar
• Gingu, E. I., and M. Zapciu. 2014. “Improving Layout and Workload of Manufacturing System Using Delmia Quest Simulation and Inventory Approach.” International Journal of Innovative Research in Advanced Engineering 1 (6): 52–61.
   Google Scholar
• Gogi, V. S., and K. S. Badarinarayana. 2016. “Flexible Manufacturing Systems Scheduling: A Systematic Review.” Bonfring International Journal of Industrial Engineering and Management Science 6 (3): 61–62.10.9756/BIJIEMS
   Google Scholar
• Groover, M. P. 2007. Automation, Production Systems, and Computer Integrated Manufacturing. Upper Saddle River, NJ: Third Edition Prentice Hall Press.
   Google Scholar
• Guerrero, F., S. Lozano, T. Koltai, and J. Larraneta. 1999. “Machine Loading and Part Type Selection in FMS.” International Journal of Production Research 37: 1303–1317.10.1080/002075499191265
   Web of Science ®Google Scholar
• Gupta, T., and S. P. Dutta. 1994. “Analysing Material Handling Needs in Concurrent/Simultaneous Engineering.” International Journal of Production Management 14: 68–82.10.1108/01443579410066776
   Web of Science ®Google Scholar
• Gupta, T., and H. Sceifoddini. 1990. “Production Data Based Similarity Coefficient for Machine Component Grouping Decisions in the Design of a Cellular Manufacturing System.” International Journal of Production Research 28: 1247–1269.10.1080/00207549008942791
   Web of Science ®Google Scholar
• Gyulai, D., A. Pfeiffer, and L. Monostori. 2016. “Robust Production Planning and Control for Multi-Stage Systems with Flexible Final Assembly Lines.” International Journal of Production Research 55 (13): 3657–3673. doi:10.1080/00207543.2016.1198506.
   Web of Science ®Google Scholar
• He, Y., K. E. Stecke, and M. L. Smith. 2016. “Robot and Machine Scheduling with State-Dependent Part Input Sequencing in Flexible Manufacturing Systems.” International Journal of Production Research 54 (22): 6736–6746. doi:10.1080/00207543.2016.1161252.
   Web of Science ®Google Scholar
• Heragu, S. S., and A. Kusiak. 1988. “Machine Layout Problem in FMS.” Operation Research 36: 258–268.10.1287/opre.36.2.258
   Web of Science ®Google Scholar
• Hwan, S. S., and A. W. Shogan. 1989. “Modelling and Solving an FMS Part Selection Problem.” International Journal of Production Research 27 (8): 1349–1366.10.1080/00207548908942627
   Web of Science ®Google Scholar
• Jain, V., and T. Raj. 2016. “Modeling and Analysis of FMS Performance Variables by ISM, SEM and GTMA Approach.” International Journal of Production Economics 171: 84–96.10.1016/j.ijpe.2015.10.024
   Web of Science ®Google Scholar
• Jardzioch, A. 2008. “Problems of Control of Work Piece Flow in a Flexible Manufacturing System.” International Journal of Advances in Manufacturing Science and Technology 32 (1): 476–483.
   Google Scholar
• Jayamohan, M. S., and C. Rajendran. 2004. “Development and Analysis of Cost-Based Dispatching Rules for Job Shop Scheduling.” European Journal of Operational Research 157 (2): 307–321.10.1016/S0377-2217(03)00204-2
   Web of Science ®Google Scholar
• Joseph, O. A., and R. Sridharan. 2011. “Evaluation of Routing Flexibility of a Flexible Manufacturing System Using Simulation Modelling and Analysis.” International Journal of Advance Manufacturing Technology 56: 273–289.10.1007/s00170-011-3153-5
   Web of Science ®Google Scholar
• Karsak, E. E. 2002. “Distance-Based Fuzzy MCDM Approach for Evaluating Flexible Manufacturing System Alternatives.” International Journal of Production Research 40 (13): 3176–3181.
   Web of Science ®Google Scholar
• Kashfi, M. A., and M. Javadi. 2015. “A Model for Selecting Suitable Dispatching Rule in FMS Based on Fuzzy Multi Attribute Group Decision Making.” Production Engineering Research and Development 9: 237–246.10.1007/s11740-015-0603-1
   Google Scholar
• Kumar, R. 2016. “Simulation of Manufacturing System at Different Part Mix Ratio and Routing Flexibility.” Global Journal of Enterprise Information System 8 (1): 9–914.10.18311/gjeis/2016/7284
   Google Scholar
• Kumar, M. V. S., and C. S. P. Rao. 2000. “A Hybrid Differential Evolution Approach for Simultaneous Scheduling Problems in a Flexible Manufacturing Environment.” International Journal of Applied Management and Technology 6 (3): 108–130.
   Google Scholar
• Kumar, N. S., and R. Sridharan. 2009. “Simulation Modeling and Analysis of Part and Tool Flow Control Decisions in Flexible Manufacturing System.” International Journal of Robotics and Computer Integrated Manufacturing 25: 829–838.10.1016/j.rcim.2008.12.004
   Web of Science ®Google Scholar
• Kumar, M. V. S., R. Janardhana, and C. S. P. Rao. 2011. “Simultaneous Scheduling of Machines and Vehicles in an FMS Environment with Alternative Routing.” International Journal of Advance Manufacturing Technology 53: 339–351.10.1007/s00170-010-2820-2
   Web of Science ®Google Scholar
• Kusiak, A. 1987. “The Production Equipment Requirements Problem.” International Journal of Production Research 25: 319–325.10.1080/00207548708919843
   Web of Science ®Google Scholar
• Lashkari, R. S., S. P. Dutta, and A. M. Padhye. 1987. “A New Formulation of Operation Allocation Problem in Flexible Manufacturing Systems: Mathematical Modelling and Computational Experience.” International Journal of Production Research 25: 1267–1283.10.1080/00207548708919914
   Web of Science ®Google Scholar
• Lee, D. H., and Y. D. Kim. 1999. “Scheduling Algorithms for Flexible Manufacturing Systems with Partially Grouped Machines.” Journal of Manufacturing System 18 (4): 301–309.10.1016/S0278-6125(00)86632-7
   Web of Science ®Google Scholar
• Lee, H. F., M. M. Srinivasan, and C. A. Yano. 1989. “An Algorithm for the Minimum Cost Configuration Problems in FMS.” In Proceedings of the Third ORSA/TIMS Conference on Flexible Manufacturing Systems InOperations Research Models and Applications, held at Massachusetts Institute of Technology, Cambridge, MA, August 14–16, 85–92.
   Google Scholar
• Lei, H., K. Xing, L. Han, F. Xiong, and G. Zhaoqiang. 2014. “Deadlock-Free Scheduling for Flexible Manufacturing Systems Using Petri Nets and Heuristic Search.” Computers and Industrial Engineering 72: 297–305.10.1016/j.cie.2014.04.002
   Web of Science ®Google Scholar
• Liu, P. H., V. Makis, and A. K. S. Jardine. 2001. “Scheduling of the Optimal Tool Replacement times in a Flexible Manufacturing System.” IIE Transactions 33: 487–495.
   Web of Science ®Google Scholar
• Low, C., Y. Yip, and T. H. Wu. 2006. “Modelling and Heuristics of FMS Scheduling with Multiple Objectives.” Computers and Operations Research 33: 674–694.10.1016/j.cor.2004.07.013
   Web of Science ®Google Scholar
• Mahmood, K., T. Karaulova, T. Otto, and E. Shevtshenko. 2017. “Performance Analysis of a Flexible Manufacturing System Performance”. The 50th CIRP Conference on Manufacturing Systems, Procedia CIRP-63, May 3–5, Taichung City, Taiwan, 424–429.
   Google Scholar
• Matsui, M., S. Uehara, and M. Jingsong. 2001. “Performance Evaluation of Flexible Manufacturing Systems with Finite Local Buffers: Fixed and Dynamic Routings.” International Journal of Flexible Manufacturing Systems 13: 405–424.10.1023/A:1012255231449
   Google Scholar
• Mazzola, J. B., A. B. Neebe, and C. V. R. Dunn. 1989. “Production Planning of FMS in a Material Requirement Planning (MRP) Environment.” International Journal of Flexible Manufacturing System 1: 115–142.
   Google Scholar
• Mellichamp, J. M., O. J. Kwon, and A. F. A. Wahab. 1990. “FMS Designer: An Expert System for Flexible Manufacturing System Design.” International Journal of Production and Research 28 (11): 2013–2024.10.1080/00207549008942849
   Web of Science ®Google Scholar
• Mertins, K., and B. W. Toutaoui. 1991. “State of the Art in Flexible Manufacturing System Design.” Production Planning and Control 2 (2): 155–159.10.1080/09537289108919342
   Google Scholar
• Mohamed, Z. M., M. A. Youssef, and F. Huq. 2001. “The Impact of Machine Flexibility on the Performance of Flexible Manufacturing Systems.” International Journal of Operations and Production Management 21 (5/6): 707–742.10.1108/01443570110390417
   Web of Science ®Google Scholar
• Monahan, G. E., and T. L. Smunt. 1988. “The Flexible Manufacturing Investment Decision.” Working Paper, Graduate School of Business Administration, Washington University, St. Louis.
   Google Scholar
• Potts, C. N., and J. D. Whitehead. 2001. “Workload Balancing and Loop Layout in the Design of a Flexible Manufacturing System.” European Journal of Operational Research 129: 326–336.10.1016/S0377-2217(00)00230-7
   Web of Science ®Google Scholar
• Prakash, A. K., M. K. Tiwari, R. Shankar, and A. Baveja. 2006. “Solving Machine Loading Problem of a FMS with Constraint Based Genetic Algorithm.” European Journal of Operational Research 175: 1043–1069.
   Web of Science ®Google Scholar
• Priore, P., D. D. L. Fuente, J. Paente, and J. Parrento. 2006. “A Comparison of Machine Learning Algorithm for Dynamic Scheduling of Flexible Manufacturing System.” International Journal of Engineering Application of Artificial Intelligence 19: 247–255.10.1016/j.engappai.2005.09.009
   Web of Science ®Google Scholar
• Raju, K. R., and O. V. K. Chetty. 1993. “Priority Nets for Scheduling Flexible Manufacturing Systems.” International Journal of Manufacturing System 12 (4): 326–340.10.1016/0278-6125(93)90323-L
   Web of Science ®Google Scholar
• Rao, R. V. 2008. “Evaluating Flexible Manufacturing System Using a Combined Multiple Attribute Decision Making Method.” International Journal of Production Research 46 (7): 1975–1989.
   Web of Science ®Google Scholar
• Rao, R. V., and M. Parnichkun. 2009. “Flexible Manufacturing System Selection Using a Combinatorial Mathematics Based Decision Making Method.” International Journal of Production Research 47 (24): 6981–6998.10.1080/00207540802389227
   Web of Science ®Google Scholar
• Ravichandran, R., and A. K. Chakravarty. 1986. “Decision Support in Flexible Manufacturing System Using Timed Petri Nets.” Journal of Manufacturing Systems 5 (2): 89–101.10.1016/0278-6125(86)90003-8
   Web of Science ®Google Scholar
• Reddy, B. S. P., and C. S. P. Rao. 2006. “A Hybrid Multi Objective GA for Simultaneous Scheduling of Machines and AGV in FMS.” International Journal of Advance Manufacturing Technology 31: 602–613.10.1007/s00170-005-0223-6
   Web of Science ®Google Scholar
• Roh, H. D., and Y. D. Kim. 1997. “Due-Date Based Loading and Scheduling Methods for a Flexible Manufacturing System with an Automatic Tool Transporter.” International Journal of Production Research 35 (11): 2989–3004.10.1080/002075497194255
   Web of Science ®Google Scholar
• Rybicka, J., A. Tiwari, and S. Enticott. 2016. “Testing a Flexible Manufacturing System Facility Production Capacity through Discrete Event Simulation: Automotive Case Study.” International Journal of Mechanical, Aerospace, Industrial, Mechatronics and Manufacturing Engineering 10 (4): 668–672.
   Google Scholar
• Sethi, A. K., and S. P. Sethi. 1990. “Flexibility in Manufacturing: A Survey.” International Journal of Flexible Manufacturing System, Services and Operations Management 2 (4): 289–328.
   Google Scholar
• Shah, S. A., E. L. J. Bohez, and R. Pisuchpen. 2011. “New Modeling and Performance Evaluation of Tool Sharing Control in FMS Using Colored Petri Nets.” International Journal of Assembly and Automation 31 (2): 137–152.10.1108/01445151111117728
   Web of Science ®Google Scholar
• Shang, J., and T. Sueyoshi. 1995. “A Unified Framework for the Selection of a Flexible Manufacturing System.” European Journal of Operational Research 85 (2): 297–315.10.1016/0377-2217(94)00041-A
   Web of Science ®Google Scholar
• Sheinin, R. L., and I. Tchijov. 1987. “Flexible Manufacturing Systems (FMS): State of Art and Development.” IIASA Working Paper, WP-87-01. Laxenburg: IIASA.
   Google Scholar
• Shin, K. S., J. O. Park, and Y. K. Kim. 2011. “Multi-Objective FMS Process Planning with Various Flexibilities Using a Symbiotic Evolutionary Algorithm.” Computers and Operations Research 38: 702–712.10.1016/j.cor.2010.08.007
   Web of Science ®Google Scholar
• Shirazi, B., I. Mahdavi, and M. Solimanpur. 2012. “Intelligent Decision Support System for the Adaptive Control of a Flexible Manufacturing System with Machine and Tool Flexibility.” International Journal of Production Research 50 (12): 3288–3314.
   Web of Science ®Google Scholar
• Shivhare, M., and S. Bansal. 2014. “Layout Optimization in Flexible Manufacturing System Using Particle Swarm Optimization in Matlab.” International Journal of Software Engineering and Its Application 8 (7): 55–64.
   Google Scholar
• Shukla, C. S., and F. F. Chen. 1996. “The State of the Art in Intelligent Real-Time FMS Control: A Comprehensive Survey.” Journal of Intelligent Manufacturing 7: 441–455.10.1007/BF00122834
   Web of Science ®Google Scholar
• Singholi, A. 2015. “Impact of Manufacturing Flexibility and Pallets on Buffer Delay in Flexible Manufacturing Systems.” International Journal of Engineering Management and Economics 5 (3–4): 308–330.10.1504/IJEME.2015.072546
   Google Scholar
• Singholi, A., D. Chhabra, and M. Ali. 2010. “Towards Improving the Performance of Flexible Manufacturing System: A Case Study.” Journal of Industrial Engineering and Management 3 (1): 87–115.
   Google Scholar
• Singholi, A., M. Ali, and C. Sharma. 2013. “Evaluating the Effect of Machine and Routing Flexibility on Flexible Manufacturing System Performance.” International Journal of Services and Operations Management 16 (2): 240–261.10.1504/IJSOM.2013.056144
   Google Scholar
• Slack, N. 1983. “Flexibility as a Manufacturing Objective.” International Journal of Operations Management 3 (3): 4–13.10.1108/eb054696
   Google Scholar
• Son, Y. K., and C. S. Park. 1990. “Quantifying Opportunity Costs Associated with Adding Manufacturing Flexibility.” International Journal of Production Research 28: 1183–1194.10.1080/00207549008942784
   Web of Science ®Google Scholar
• Song, H. Y., H. Hwang, and Y. D. Kim. 1995. “Heuristic Algorithm for the Tool Movement Policy in Flexible Manufacturing System.” International Journal of Manufacturing System 4 (1): 803–820.
   Google Scholar
• Stam, A., and M. Kulla. 1991. “Selecting Flexible Manufacturing System Using Multiple Criteria Analysis.” International Journal of Production and Research 29 (4): 803–820.10.1080/00207549108930103
   Web of Science ®Google Scholar
• Stecke, K. E. 1983. “Formulation and Solution of Nonlinear Integer Production Planning Problems for Flexible Manufacturing Systems.” Management Science 29 (3): 273–288.10.1287/mnsc.29.3.273
   Web of Science ®Google Scholar
• Stecke, K. E. 1986. “A Hierarchical Approach to Solve Machine Grouping and Loading Problem of FMS.” European Journal of Operation Research 24: 369–378.10.1016/0377-2217(86)90030-5
   Web of Science ®Google Scholar
• Subbaiah, K. V., M. N. Rao, and K. N. Rao. 2009. “Scheduling of AGV and Machine in FMS with Make Span Criteria Using Sheep Flock Heredity Algorithm.” International Journal of Physical Sciences 4 (2): 139–148.
   Google Scholar
• Sujono, S., and R. S. Lashkari. 2007. “A Multi-Objective Model of Operation Allocation and Material Handling System Selection in FMS Design.” International Journal of Production Economics 105: 116–133.10.1016/j.ijpe.2005.07.007
   Web of Science ®Google Scholar
• Sundarani, S. H., and M. N. Qureshi. 2017. “State of the Art Literature Review on Flexible Manufacturing System.” International Journal of Scientific Research 6 (4): 453–455.
   Google Scholar
• Suresh, N. C. 1990. “Toward an Integrated Evaluation of Flexible Automation Investment.” International Journal of Production Research 28: 1657–1672.10.1080/00207549008942822
   Web of Science ®Google Scholar
• Tabucanon, M. T., D. N. Batanov, and D. K. Verma. 1994. “Decision Support System for Multi Criteria Machine Selection for Flexible Manufacturing Systems.” Computers in Industry 25: 131–143.10.1016/0166-3615(94)90044-2
   Web of Science ®Google Scholar
• Taha, T., and S. Rostam. 2012. “A Hybrid Fuzzy AHP-PROMETHEE Decision Support System for Machine Tool Selection in Flexible Manufacturing Cell.” Journal of Intelligent Manufacturing 23: 2137–2149.10.1007/s10845-011-0560-2
   Web of Science ®Google Scholar
• Tiwari, M. K., and N. K. Vidyarthi. 2000. “Solving Machine Loading Problems in a Flexible Manufacturing System Using a Genetic Algorithm Based Heuristic Approach.” International Journal of Production and Research 38 (14): 3357–3384.10.1080/002075400418298
   Web of Science ®Google Scholar
• Toader, F. A. 2017. “Production Scheduling in Flexible Manufacturing System: A State of the Art Survey.” International Journal of Electrical Engineering, Electronics, Control and Computer Science 3 (7): 01–06.
   Google Scholar
• Viswanadham, N., Y. Narahari, and T. L. Johnson. 1990. “Deadlock Prevention and Deadlock Avoidance in FMS Using Petri Net Models.” IEEE Transactions on Robotics and Automation 6 (6): 713–723.10.1109/70.63257
   Google Scholar
• Wabalackis, R. N. 1988. “Justification of FMS with the Analytic Hierarchy Process.” Journal of Manufacturing Systems 7 (3): 175–182.10.1016/0278-6125(88)90002-7
   Web of Science ®Google Scholar
• Wahab, M. I. M., and S. J. Stoyan. 2008. “A Dynamic Approach to Measure Machine and Routing Flexibilities of Manufacturing Systems.” International Journal of Production Economics 113 (2): 895–913.10.1016/j.ijpe.2007.12.001
   Web of Science ®Google Scholar
• Yang, Y., Y. Chen, and C. Long. 2016. “Flexible Robotic Manufacturing Cell Scheduling Problem with Multiple Robots.” International Journal of Production Research 54 (22): 6768–6781. doi:10.1080/00207543.2016.1176267.
   Web of Science ®Google Scholar
• Yao, D. D., and J. A. Buzacott. 1985. “Modelling the Performance of Flexible Manufacturing Systems.” International Journal of Production Research 23 (5): 945–959.10.1080/00207548508904758
   Web of Science ®Google Scholar
• Yazgan, H. R., S. Boran, and K. Goztepe. 2010. “Selection of Dispatching Rules in FMS: ANP Model Based on BOCR with Choquet Integral.” International Journal of Advance Manufacturing Technology 49: 785–801.10.1007/s00170-009-2416-x
   Web of Science ®Google Scholar
• Yurdakul, M. 2004. “AHP as a Strategic Decision Making Tool to Justify Machine Tool Selection.” Journals of Materials Processing Technology 146 (3): 365–376.10.1016/j.jmatprotec.2003.11.026
   Web of Science ®Google Scholar
• Zhou, M. C., F. Dicesare, and D. L. Rudolph. 1992. “Design and Implementation of a Petri Net Based Supervisor for a Flexible Manufacturing System.” Automatica 28 (6): 1199–1208.10.1016/0005-1098(92)90061-J
   Web of Science ®Google Scholar