[
Ardjmand, E., Sanei Bajgiran, O., & Youssef, E. (2019). Using list-based simulated annealing and genetic algorithm for order batching and picker routing in put wall-based picking systems. Applied Soft Computing Journal, 75, 106-119.
]Search in Google Scholar
[
Černý, V. (1985). Thermodynamical approach to the traveling salesperson problem: An efficient simulation algorithm. Journal of Optimization Theory and Applications, 45(1), 41-51.
]Search in Google Scholar
[
Chen, T. L., Cheng, C. Y., Chen, Y. Y., & Chan, L. K. (2015). An efficient hybrid algorithm for integrated order batching, sequencing, and routing problems. International Journal of Production Economics, 159, 158-167.
]Search in Google Scholar
[
Cheng, C. Y., Chen, Y. Y., Chen, T. L., & Yoo, J. J. W. (2015). Using a hybrid approach based on the particle swarm optimization and ant colony optimization to solve a joint order batching and picker routing problem. International Journal of Production Economics, 170, 805-814.
]Search in Google Scholar
[
Cortés, P., Gómez-Montoya, R. A., Muñuzuri, J., & Correa-Espinal, A. (2017). A tabu search approach to solving the picking routing problem for large- and mediumsize distribution centers considering the availability of inventory and K heterogeneous material handling equipment. Applied Soft Computing Journal, 53, 61-73.
]Search in Google Scholar
[
De Koster, R., Le-Duc, T., & Roodbergen, K. J. (2007). Design and control of warehouse order picking: A literature review. European Journal of Operational Research, 182(2), 481-501.
]Search in Google Scholar
[
Diefenbach, H., & Glock, C. H. (2019). Ergonomic and economic optimization of layout and item assignment of a U-shaped order picking zone. Computers and Industrial Engineering, 138, 106094.
]Search in Google Scholar
[
Dijkstra, A. S., & Roodbergen, K. J. (2017). Exact route-length formulas and a storage location assignment heuristic for picker-to-parts warehouses. Transportation Research Part E: Logistics and Transportation Review, 102, 38-59.
]Search in Google Scholar
[
Fayyaz, Z., Mohammadian, N., Salimi, F., Fatima, A., Tabar, M. R. R., & Avanaki, M. R. N. (2018). Simulated annealing optimization in wavefront shaping controlled transmission. Applied Optics, 57(21), 6233-6239.
]Search in Google Scholar
[
Forbus, J. J., & Berleant, D. (2022). Discrete-Event Simulation in Healthcare Settings: A Review. Modelling, 3, 417-433.
]Search in Google Scholar
[
Grosse, E. H., Glock, C. H., & Neumann, W. P. (2017). Human factors in order picking: A content analysis of the literature. International Journal of Production Research, 55(5), 1260-1276.
]Search in Google Scholar
[
Hsieh, L. F., & Tsai, L. (2006). The optimum design of a warehouse system on order picking efficiency. The International Journal of Advanced Manufacturing Technology, 28, 626-637.
]Search in Google Scholar
[
Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671-680.
]Search in Google Scholar
[
Krajewski, L. J., & Ritzman, L. P. (2001). Operations Management: strategy and analysis (6th ed.). New Jersey: Prentice Hall.
]Search in Google Scholar
[
Kulak, O., Sahin, Y., & Taner, M. E. (2012). Joint order batching and picker routing in single and multiple-cross-aisle warehouses using cluster-based tabu search algorithms. Flexible Services and Manufacturing Journal, 24(1), 52-80.
]Search in Google Scholar
[
Law, A. M. (2007). Simulation Modeling and Analysis (4th ed.). McGraw-Hill.
]Search in Google Scholar
[
Law, A. M., & Kelton, W. D. (2000). Simulation Modelling & Analysis (3rd ed.). New York: McGraw-Hill Books.
]Search in Google Scholar
[
Li, J., Huang, R., & Dai, J. B. (2017). Joint optimization of order batching and picker routing in the online retailer’s warehouse in China. International Journal of Production Research, 55(2), 447-461.
]Search in Google Scholar
[
Lu, W., McFarlane, D., Giannikas, V., & Zhang, Q. (2016). An algorithm for dynamic order picking in warehouse operations. European Journal of Operational Research, 248(1), 107-122.
]Search in Google Scholar
[
Masae, M. (2020). Developing efficient order picker routing policies in manual picker-to-parts order picking systems. Darmstadt, Germany: Darmstadt Technical University.
]Search in Google Scholar
[
Masaiek, M., Glock, C. H., & Grosse, E. H. (2019). Order picker routing in warehouses: A systematic literature review. International Journal of Production Economics, 224, 107564.
]Search in Google Scholar
[
Matusiak, M., de Koster, R., Kroon, L., & Saarinen, J. (2014). A fast-simulated annealing method for batching precedence-constrained customer orders in a warehouse. European Journal of Operational Research, 236(3), 968-977.
]Search in Google Scholar
[
McLean, C., & Leong, S. (2001). The expanding role of simulation in future manufacturing. Proceedings of the 2001 Winter Simulation Conference, 1478-1486.
]Search in Google Scholar
[
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953). Equation of state calculations by fast computing machines. The Journal of Chemical Physics, 21(6), 1087-1092.
]Search in Google Scholar
[
Pegden, C. D., Shannon, R. E., & Sadowsky, R. (1990). Introduction to simulation using SIMAN. McGraw-Hill.
]Search in Google Scholar
[
Pinedo, M. L. (2018). Scheduling: Theory, algorithms, and systems (5th ed.). Springer Cham.
]Search in Google Scholar
[
Quader, S., & Castillo-Villar, K. K. (2018). Design of an enhanced multi-aisle order-picking system considering storage assignments and routing heuristics. Robotics and Computer-Integrated Manufacturing, 50, 13-29.
]Search in Google Scholar
[
Richards, G. (2018). Warehouse Management: A Complete Guide to Improving Efficiency and Minimizing Costs in the Modern Warehouse (3rd ed.). Kogan Page.
]Search in Google Scholar
[
Sancakli, E., Dumlupınar, I., Akçın, A. O., Çınar, E., Geylani, I., & Düzgit, Z. (2022). Design of a routing algorithm for efficient order picking in a non-traditional rectangular warehouse layout. In N. M. Durakbasa & M. G. Gençyılmaz (Eds.), Digitizing Production Systems (pp. 73-83). Springer.
]Search in Google Scholar
[
Shannon, R. E. (1998). Introduction to the art and science of simulation. Winter Simulation Conference Proceedings, 7-14.
]Search in Google Scholar
[
Sibalija, T. V. (2018). Application of simulated annealing in process optimization: A review. In Simulated Annealing: Introduction, Applications and Theory (pp. 1–48). Nova Science Publishers.
]Search in Google Scholar
[
Van Gils, T., Ramaekers, K., Caris, A., & De Koster, R. B. (2018). Designing efficient order picking systems by combining planning problems: State-of-theart classification and review. European Journal of Operational Research, 267(1), 1-15.
]Search in Google Scholar
Profilo Orcid