Cycle time calculation of shuttle-lift-crane automated storage and retrieval system

References

• Azzi, A., Battini, D., Faccio, M., Persona, A. and Sgarbossa, F. (2011) Innovative travel time model for dual-shuttle automated storage/retrieval systems. Computers and Industrial Engineering, 61(3), 600–607.
   Web of Science ®Google Scholar
• Bertolini, M., Neroni, M. and Romagnoli, G. (2018) A new heuristic algorithm to improve the design of a vertical storage system, in Proceedings of the Summer School Francesco Turco, pp. 22–27.
   Google Scholar
• Billingsley, P. (1979) Probability and Measure, John Wiley and Sons, Inc., New York.
   Google Scholar
• Borovinšek, M., Ekren, B.Y., Burinskiene, A. and Lerher, T. (2017) Multi-objective optimization model of shuttle-based storage and retrieval system. Transport, 32(2), 120–137.
   Web of Science ®Google Scholar
• Bozer, Y. and White, J.A. (1984) Travel-time models for automated storage/retrieval systems. IIE Transactions, 16(4), 329–338.
   Web of Science ®Google Scholar
• Bozer, Y. and White, J.A. (1990) Design and performance models for end-of-aisle order picking systems. Management Science, 36(7), 852–866.
   Web of Science ®Google Scholar
• Cai, J., Liu, X., Xiao, Z. and Liu, J. (2009) Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems, 46(2), 512–521.
   Web of Science ®Google Scholar
• D’Antonio, G. and Chiabert, P. (2019) Analytical models for cycle time and throughput evaluation of multi-shuttle deep-lane AVS/RS. International Journal of Advanced Manufacturing Technology, 104(5-8), 1919–1936.
   Web of Science ®Google Scholar
• Eder, M. (2019) An analytical approach for a performance calculation of shuttle-based storage and retrieval systems. Production and Manufacturing Research, 7(1), 255–270.
   Web of Science ®Google Scholar
• Eder, M. and Kartnig, G. (2016) Throughput analysis of S/R shuttle systems and ideal geometry for high performance. FME Transactions, 44(2), 174–179.
   Web of Science ®Google Scholar
• Eder, M. and Kartnig, G. (2018) Calculation method to determine the throughput and the energy consumption of S/R shuttle systems. FME Transactions, 46(3), 424–428.
   Web of Science ®Google Scholar
• Ekren, B.Y., Akpunar, A., Sari, Z. and Lerher, T. (2018) A tool for time, variance and energy related performance estimations in a shuttle-based storage and retrieval system. Applied Mathematical Modelling, 63, 109–127.
   Web of Science ®Google Scholar
• Ekren, B.Y. and Heragu, S.S. (2012) Performance comparison of two material handling systems: AVS/RS and CBAS/RS. International Journal of Production Research, 50(15), 4061–4074.
   Web of Science ®Google Scholar
• Ekren, B.Y., Heragu, S.S., Krishnamurthy, A. and Malmborg, C.J. (2014) Matrix-geometric solution for semi-open queuing network model of autonomous vehicle storage and retrieval system. Computers and Industrial Engineering, 68(1), 78–86.
   Web of Science ®Google Scholar
• Epp, M., Wiedemann, S. and Furmans, K. (2017) A discrete-time queueing network approach to performance evaluation of autonomous vehicle storage and retrieval systems. International Journal of Production Research, 55(4), 960–978.
   Web of Science ®Google Scholar
• Fawcett, S.E. and Cooper, M.B. (1998) Logistic performance measurement and customer success. Industrial Marketing Management, 27(4), 341–357.
   Web of Science ®Google Scholar
• Foley, R.D., Hackman, S.T. and Park, B.C. (2004) Back-of-the-envelope miniload throughput bounds and approximations. IIE Transactions, 36(3), 279–285.
   Web of Science ®Google Scholar
• Garcia de Jalon, J. and Bayo, E. (1994) Kinematic and Dynamic Simulation of Multibody Systems: The Real Time Challenge, Springer-Verlag, Berlin, Germany.
   Google Scholar
• Gunasekaran, A., Patel, C. and McGaughey, R.E. (2004) A framework for supply chain performance measurement. International Journal of Production Economics, 87(3), 333–347.
   Web of Science ®Google Scholar
• Guttman, I., Wilks, S.S. and Hunter, J.S. (1971) Introductory Engineering Statistics, second edition. John Wiley, New York, NY.
   Google Scholar
• Janilionis, V. and Bazaras, Z. (2013a) The design and investigation of two storage/retrieval mechanisms of the cylindrical automated storage and retrieval system. Transport, 28(4), 352–360.
   Web of Science ®Google Scholar
• Janilionis, V. and Bazaras, Z. (2013b) Performance comparison of cylindrical AS/RS with single and multi-load handling devices. Transport Problems, 8(4), 93–102.
   Google Scholar
• Kosanic, N.Z., Milojevic, G.Z. and Zrnic, N.D. (2018) A survey of literature on shuttle-based storage and retrieval systems. FME Transactions, 46(3), 400–409.
   Web of Science ®Google Scholar
• Lerher, T. (2016a) Travel time model for double-deep shuttle-based storage and retrieval systems. International Journal of Production Research, 54(9), 2519–2540.
   Web of Science ®Google Scholar
• Lerher, T. (2016b) Multi-tier shuttle-based storage and retrieval systems. FME Transactions, 44(3), 285–290.
   Web of Science ®Google Scholar
• Lerher, T. (2018) Aisle changing shuttle carriers in autonomous vehicle storage and retrieval systems. International Journal of Production Research, 56(11), 3859–3879.
   Web of Science ®Google Scholar
• Lerher, T., Borovinsek, M., Ficko, M. and Palcic, I. (2017) Parametric study of throughput performance in SBS/RS based on simulation. International Journal of Simulation Modelling, 16(1), 96–107.
   Web of Science ®Google Scholar
• Lerher, T., Ekren, B.Y., Dukic, G. and Rosi, B. (2015) Travel time model for shuttle-based storage and retrieval systems. International Journal of Advanced Manufacturing Technology, 78(9-12), 1705–1725.
   Web of Science ®Google Scholar
• Lerher, T., Ekren, B.Y., Sari, Z. and Rosi, B. (2016) Method for evaluating the throughput performance of shuttle-based storage and retrieval systems. Tehnicki Vjesnik, 23(3), 715–723.
   Web of Science ®Google Scholar
• Lerher, T., Sraml, M., Potrc, I. and Tollazzi, T. (2010) Travel time models for double-deep automated storage and retrieval systems. International Journal of Production Research, 48(11), 3151–3172.
   Web of Science ®Google Scholar
• Metahri, D. and Hachemi, K. (2018) Retrieval–travel-time model for free-fall-flow-rack automated storage and retrieval system. Journal of Industrial Engineering International, 14(4), 807–820.
   Google Scholar
• Rajković, M., Zrnić, D.Đ., Kosanić, N., Borovninšek, M. and Lerher, T. (2019) A multi-objective optimization model for minimizing investment expenses, cycle times and CO2 footprint of an automated storage and retrieval systems. Transport, 34(2), 275–286.
   Web of Science ®Google Scholar
• Ramtin, F. and Pazour, J.A. (2014) Analytical models for an automated storage and retrieval system with multiple in-the-aisle pick positions. IIE Transactions, 46(9), 968–986.
   Web of Science ®Google Scholar
• Roodbergen, K.J. and Vis, I. (2009) A survey of literature on automated storage and retrieval systems. European Journal of Operational Research, 194(2), 343–362.
   Web of Science ®Google Scholar
• Sgarbossa, F., Calzavara, M. and Persona, A. (2019) Throughput models for a dual-bay VLM order picking system under different configurations. Industrial Management and Data Systems, 119(6), 1268–1288.
   Web of Science ®Google Scholar
• Shi, Z. and Li, L. (2017) Travel time analysis of the single and dual command of AS/RS, in Proceedings of the 29th Chinese Control and Decision Conference, pp. 3407–3413.
   Google Scholar
• Xu, X., Gong, Y., Shen, G. and Zou, B. (2018) Travel-time model of dual-command cycles in a 3D compact AS/RS with lower mid-point I/O dwell point policy. International Journal of Production Research, 56(4), 1620–1641.
   Web of Science ®Google Scholar
• Xu, X., Shen, G., Yu, Y. and Huang, W. (2015) Travel time analysis for the double-deep dual-shuttle AS/RS. International Journal of Production Research, 53(3), 757–773.
   Web of Science ®Google Scholar
• Xu, X., Zou, B., Shen, G. and Gong, Y. (2016) Travel-time models and fill-grade factor analysis for double-deep multi-aisle AS/RSs. International Journal of Production Research, 54(14), 4126–4144.
   Web of Science ®Google Scholar
• Yu, Y. and de Koster, M.B.M. (2012) Sequencing heuristics for storing and retrieving unit loads in 3D compact automated warehousing systems. IIE Transactions, 44(2), 69–87.
   Web of Science ®Google Scholar