How to cite this paper
Chawla, V., Chanda, A & Angra, S. (2019). Material handling robots fleet size optimization by a heuristic.Journal of Project Management, 4(3), 177-184.
Refrences
Arifin, R., & Egbelu, P. J. (2000). Determination of vehicle requirements in automated guided ve-hicle systems: a statistical approach. Production Planning & Control, 11(3), 258-270.
Angra, S., Chanda, A., & Chawla, V. (2018). Comparison and evaluation of job selection dis-patching rules for integrated scheduling of multi-load automatic guided vehicles serving in var-iable sized flexible manufacturing system layouts: A simulation study. Management Science Letters, 8(4), 187-200.
Brownlee, J. (2011). Clever algorithms: nature-inspired programming recipes. Jason Brownlee.
Chanda, A., Angra, S., & Chawla, V. (2018). A Modified Memetic Particle Swarm Optimization Algorithm for Sustainable Multi-objective Scheduling of Automatic Guided Vehicles in a Flex-ible Manufacturing System. International Journal of Computer Aided Manufacturing, 4(1), 33-47.
Chang, K. H., Huang, Y. H., & Yang, S. P. (2014). Vehicle fleet sizing for automated material handling systems to minimize cost subject to time constraints. IIE Transactions, 46(3), 301-312.
Chawla, V. K., Chanda, A. K., & Angra, S. (2017). Evaluation of Dispatching Rules for Integrat-ed Scheduling of MHRs in FMS. In National Conference on Recent Advances in Mechanical Engineering (NCRAME) (pp. 37-41).
Chawla, V., Chanda, A., & Angra, S. (2018a). Scheduling of multi-load MHRs in FMS by modi-fied memetic particle swarm optimization algorithm. Journal of Project Management, 3(1), 39-54.
Chawla, V., Chanda, A., & Angra, S. (2018b). Automatic guided vehicles fleet size optimization for flexible manufacturing system by grey wolf optimization algorithm. Management Science Letters, 8(2), 79-90.
Chawla, V., Chanda, A., Angra, S., & Chawla, G. (2018c). The sustainable project management: A review and future possibilities. Journal of Project Management, 3(3), 157-170.
Chawla, V.K., Chanda, A., & Angra, S. (2018d). A clonal selection algorithm for minimizing dis-tance travel & back-tracking of automatic guided vehicles in flexible manufacturing system. Journal of The Institution of Engineers (India): Series C, DOI: 10.1007/s40032-018-0447-5.
Chawla, V., Chanda, A., & Angra, S. (2018e). Sustainable multi-objective scheduling for automat-ic guided vehicle and flexible manufacturing system by a grey wolf optimization algorithm. In-ternational Journal of Data and Network Science, 2(1), 27-40.
Chawla, V. K., Chanda, A. K., Angra, S., Rani, S., (2018f). Simultaneous Dispatching and Scheduling of Multi-Load MHRs in FMS-A Simulation Study. Materials Today: Proceedings, 5(11), 25358-25367.
Chawla, V. K., Chanda, A. K., & Angra, S. (2018g). Multi-load MHRs scheduling by application of modified memetic particle swarm optimization algorithm. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(9), 436.
Chawla, V., Chanda, A., & Angra, S. (2019). The scheduling of automatic guided vehicles for the workload balancing and travel time minimi-zation in the flexible manufacturing system by the nature-inspired algorithm. Journal of Project Management, 4(1), 19-30.
Choobineh, F. F., Asef-Vaziri, A., & Huang, X. (2012). Fleet sizing of automated guided vehicles: a linear programming approach based on closed queuing networks. International Journal of Production Research, 50(12), 3222-3235.
Egbelu, P. J., & Tanchoco, J. M. A. (1986). Potentials for bi-directional guide-path for automated guided vehicle-based systems. International Journal of Production Research, 24(5), 1075-1097.
Fan, X., He, Q., & Zhang, Y. (2015). Zone design of tandem loop MHRs path with hybrid algo-rithm. IFAC-Papers on Line, 48(3), 869-874.
Ganesharajah, T., Hall, N. G., & Sriskandarajah, C. (1998). Design and operational issues in MHR- served manufacturing systems. Annals of Operations Research, 76, 109-154.
Huang, C. J., Chang, K. H., & Lin, J. T. (2012). Optimal vehicle allocation for an automated mate-rials handling system using simulation optimization. International Journal of Production Re-search, 50(20), 5734-5746.
Ji, M., & Xia, J. (2010). Analysis of vehicle requirements in a general automated guided vehicle system based transportation system. Computers & Industrial Engineering, 59(4), 544-551.
Kumar, N. S., & Sridharan, R. (2010). Simulation-based metamodels for the analysis of schedul-ing decisions in a flexible manufacturing system operating in a tool-sharing environment. The International Journal of Advanced Manufacturing Technology, 51(1-4), 341-355.
Lin, J. T., Chang, K. H., & Huang, C. J. (2010, October). Dynamic vehicle allocation in Automat-ed Material Handling System. In Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on (pp. 1523-1527). IEEE.
Mahadevan, B., & T. T. Narendran. (1990). Design of an automated guided vehicle-based material handling system for a flexible manufacturing system. The International Journal of Production Research 28(9), 1611-1622.
Mahadevan, B., & Narendran, T. T. (1994). A hybrid modeling approach to the design of an MHR-based material handling system for an FMS. The International Journal of Production Re-search, 32(9), 2015-2030.
Maxwell, W. L., & Muckstadt, J. A. (1982). Design of automatic guided vehicle systems. IIE Transactions, 14(2), 114-124.
Moghadam, B. F., Sadjadi, S. J., & Seyedhosseini, S. M. (2010). An empirical analysis on robust vehicle routing problem: a case study on drug industry. International Journal of Logistics Sys-tems and Management, 7(4), 507-518.
Moghaddam, B. F., Ruiz, R., & Sadjadi, S. J. (2012). Vehicle routing problem with uncertain de-mands: An advanced particle swarm algorithm. Computers & Industrial Engineering, 62(1), 306-317.
Singh, R., & Khan, B. (2016). Meta-hierarchical-heuristic-mathematical-model of loading prob-lems in flexible manufacturing system for development of an intelligent approach. International Journal of Industrial Engineering Computations, 7(2), 177-190.
Sinriech, D., & Tanchoco, J. M. A. (1992). Impact of empty vehicle flow on the performance of single-loop MHR systems. The International Journal of Production Research, 30(10), 2237-2252.
Srinivasan, M. M., Bozer, Y. A., & Cho, M. (1994). Trip-based material handling systems: throughput capacity analysis. IIE Transactions, 26(1), 70-89.
Tanchoco, J. M. A., Egbelu, P. J., & Taghaboni, F. (1987). Determination of the total number of vehicles in an MHR-based material transport system. Material flow, 4(1-2), 33-51.
Tiwari, M., & Harding, J. A. (2011). Evolutionary computing in advanced manufacturing (Vol. 73). John Wiley & Sons.
Tompkins, J. A., & White, J. A. (1984). Facility planning. New York: Wiley.
Van der Meer, R. (2000). Operational control of internal transport (No. TTS; T2000/5).
Vis, I. F., De Koster, R. M. B. M., Roodbergen, K. J., & Peeters, L. W. (2001). Determination of the number of automated guided vehicles required at a semi-automated container termi-nal. Journal of the Operational research Society, 52(4), 409-417.
Vivaldini, K., Rocha, L. F., Martarelli, N. J., Becker, M., & Moreira, A. P. (2016). Integrated tasks assignment and routing for the estimation of the optimal number of MHRS. The International Journal of Advanced Manufacturing Technology, 82(1-4), 719-736.
Yifei, T., Junruo, C., Meihong, L., Xianxi, L., & Yali, F. (2010, July). An estimate and simulation approach to determining the automated guided vehicle fleet size in FMS. In Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on (Vol. 9, pp. 432-435). IEEE.
Angra, S., Chanda, A., & Chawla, V. (2018). Comparison and evaluation of job selection dis-patching rules for integrated scheduling of multi-load automatic guided vehicles serving in var-iable sized flexible manufacturing system layouts: A simulation study. Management Science Letters, 8(4), 187-200.
Brownlee, J. (2011). Clever algorithms: nature-inspired programming recipes. Jason Brownlee.
Chanda, A., Angra, S., & Chawla, V. (2018). A Modified Memetic Particle Swarm Optimization Algorithm for Sustainable Multi-objective Scheduling of Automatic Guided Vehicles in a Flex-ible Manufacturing System. International Journal of Computer Aided Manufacturing, 4(1), 33-47.
Chang, K. H., Huang, Y. H., & Yang, S. P. (2014). Vehicle fleet sizing for automated material handling systems to minimize cost subject to time constraints. IIE Transactions, 46(3), 301-312.
Chawla, V. K., Chanda, A. K., & Angra, S. (2017). Evaluation of Dispatching Rules for Integrat-ed Scheduling of MHRs in FMS. In National Conference on Recent Advances in Mechanical Engineering (NCRAME) (pp. 37-41).
Chawla, V., Chanda, A., & Angra, S. (2018a). Scheduling of multi-load MHRs in FMS by modi-fied memetic particle swarm optimization algorithm. Journal of Project Management, 3(1), 39-54.
Chawla, V., Chanda, A., & Angra, S. (2018b). Automatic guided vehicles fleet size optimization for flexible manufacturing system by grey wolf optimization algorithm. Management Science Letters, 8(2), 79-90.
Chawla, V., Chanda, A., Angra, S., & Chawla, G. (2018c). The sustainable project management: A review and future possibilities. Journal of Project Management, 3(3), 157-170.
Chawla, V.K., Chanda, A., & Angra, S. (2018d). A clonal selection algorithm for minimizing dis-tance travel & back-tracking of automatic guided vehicles in flexible manufacturing system. Journal of The Institution of Engineers (India): Series C, DOI: 10.1007/s40032-018-0447-5.
Chawla, V., Chanda, A., & Angra, S. (2018e). Sustainable multi-objective scheduling for automat-ic guided vehicle and flexible manufacturing system by a grey wolf optimization algorithm. In-ternational Journal of Data and Network Science, 2(1), 27-40.
Chawla, V. K., Chanda, A. K., Angra, S., Rani, S., (2018f). Simultaneous Dispatching and Scheduling of Multi-Load MHRs in FMS-A Simulation Study. Materials Today: Proceedings, 5(11), 25358-25367.
Chawla, V. K., Chanda, A. K., & Angra, S. (2018g). Multi-load MHRs scheduling by application of modified memetic particle swarm optimization algorithm. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 40(9), 436.
Chawla, V., Chanda, A., & Angra, S. (2019). The scheduling of automatic guided vehicles for the workload balancing and travel time minimi-zation in the flexible manufacturing system by the nature-inspired algorithm. Journal of Project Management, 4(1), 19-30.
Choobineh, F. F., Asef-Vaziri, A., & Huang, X. (2012). Fleet sizing of automated guided vehicles: a linear programming approach based on closed queuing networks. International Journal of Production Research, 50(12), 3222-3235.
Egbelu, P. J., & Tanchoco, J. M. A. (1986). Potentials for bi-directional guide-path for automated guided vehicle-based systems. International Journal of Production Research, 24(5), 1075-1097.
Fan, X., He, Q., & Zhang, Y. (2015). Zone design of tandem loop MHRs path with hybrid algo-rithm. IFAC-Papers on Line, 48(3), 869-874.
Ganesharajah, T., Hall, N. G., & Sriskandarajah, C. (1998). Design and operational issues in MHR- served manufacturing systems. Annals of Operations Research, 76, 109-154.
Huang, C. J., Chang, K. H., & Lin, J. T. (2012). Optimal vehicle allocation for an automated mate-rials handling system using simulation optimization. International Journal of Production Re-search, 50(20), 5734-5746.
Ji, M., & Xia, J. (2010). Analysis of vehicle requirements in a general automated guided vehicle system based transportation system. Computers & Industrial Engineering, 59(4), 544-551.
Kumar, N. S., & Sridharan, R. (2010). Simulation-based metamodels for the analysis of schedul-ing decisions in a flexible manufacturing system operating in a tool-sharing environment. The International Journal of Advanced Manufacturing Technology, 51(1-4), 341-355.
Lin, J. T., Chang, K. H., & Huang, C. J. (2010, October). Dynamic vehicle allocation in Automat-ed Material Handling System. In Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on (pp. 1523-1527). IEEE.
Mahadevan, B., & T. T. Narendran. (1990). Design of an automated guided vehicle-based material handling system for a flexible manufacturing system. The International Journal of Production Research 28(9), 1611-1622.
Mahadevan, B., & Narendran, T. T. (1994). A hybrid modeling approach to the design of an MHR-based material handling system for an FMS. The International Journal of Production Re-search, 32(9), 2015-2030.
Maxwell, W. L., & Muckstadt, J. A. (1982). Design of automatic guided vehicle systems. IIE Transactions, 14(2), 114-124.
Moghadam, B. F., Sadjadi, S. J., & Seyedhosseini, S. M. (2010). An empirical analysis on robust vehicle routing problem: a case study on drug industry. International Journal of Logistics Sys-tems and Management, 7(4), 507-518.
Moghaddam, B. F., Ruiz, R., & Sadjadi, S. J. (2012). Vehicle routing problem with uncertain de-mands: An advanced particle swarm algorithm. Computers & Industrial Engineering, 62(1), 306-317.
Singh, R., & Khan, B. (2016). Meta-hierarchical-heuristic-mathematical-model of loading prob-lems in flexible manufacturing system for development of an intelligent approach. International Journal of Industrial Engineering Computations, 7(2), 177-190.
Sinriech, D., & Tanchoco, J. M. A. (1992). Impact of empty vehicle flow on the performance of single-loop MHR systems. The International Journal of Production Research, 30(10), 2237-2252.
Srinivasan, M. M., Bozer, Y. A., & Cho, M. (1994). Trip-based material handling systems: throughput capacity analysis. IIE Transactions, 26(1), 70-89.
Tanchoco, J. M. A., Egbelu, P. J., & Taghaboni, F. (1987). Determination of the total number of vehicles in an MHR-based material transport system. Material flow, 4(1-2), 33-51.
Tiwari, M., & Harding, J. A. (2011). Evolutionary computing in advanced manufacturing (Vol. 73). John Wiley & Sons.
Tompkins, J. A., & White, J. A. (1984). Facility planning. New York: Wiley.
Van der Meer, R. (2000). Operational control of internal transport (No. TTS; T2000/5).
Vis, I. F., De Koster, R. M. B. M., Roodbergen, K. J., & Peeters, L. W. (2001). Determination of the number of automated guided vehicles required at a semi-automated container termi-nal. Journal of the Operational research Society, 52(4), 409-417.
Vivaldini, K., Rocha, L. F., Martarelli, N. J., Becker, M., & Moreira, A. P. (2016). Integrated tasks assignment and routing for the estimation of the optimal number of MHRS. The International Journal of Advanced Manufacturing Technology, 82(1-4), 719-736.
Yifei, T., Junruo, C., Meihong, L., Xianxi, L., & Yali, F. (2010, July). An estimate and simulation approach to determining the automated guided vehicle fleet size in FMS. In Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on (Vol. 9, pp. 432-435). IEEE.