How to cite this paper
Miguel, F., Frutos, M., Tohmé, F & Rossit, D. (2019). A memetic algorithm for the integral OBP/OPP problem in a logistics distribution center.Uncertain Supply Chain Management, 7(2), 203-214.
Refrences
Arora, R., Haleem, A., & Farooquie, J. (2017). Impact of critical success factors on successful technology implementation in Consumer Packaged Goods (CPG) supply chain. Management Science Letters, 7(5), 213-224.
Biswas, T., & Das, M. (2018). Selection of hybrid vehicle for green environment using multi-attributive border approximation area comparison method. Management Science Letters, 8(2), 121-130.
Chen, M. C., & Wu, H. P. (2005). An association-based clustering approach to order batching considering customer demand patterns. Omega, 33(4), 333-343.
De Koster, M. B., Van Der Poort, E. S., & Wolters, M. (1999). Efficient order batching methods in warehouses. International Journal of Production Research, 7(37), 1479 - 1504.
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.
Henn, S., Koch, S., & Wäscher, G. (2012). Order batching in order picking warehouses: a survey of solution approaches. In Warehousing in the global supply chain (pp. 105-137). Springer, London.
Henn, S., & Wäscher, G. (2012). Tabu search heuristics for the order batching problem in manual order picking systems. European Journal of Operational Research, 222(3), 484-494.
Henn, S., Koch, S., Doerner, K., Strauss, C., & Wäscher, G. (2010). Metaheuristics for the order batching problem in manual order picking systems. Business Research, 3(1), 82 - 105.
Ho, Y. C., & Tseng, Y. Y. (2006). A study on order-batching methods of order-picking in a distribution centre with two cross-aisles. International Journal of Production Research, 44(17), 3391 - 3471.
Holland, J. H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor, MI: University of Michigan Press.
Hwang, H., & Kim, D. (2005). Order-batching heuristics based on cluster analysis in a low-level picker-to-part warehousing system. European Journal of Operational Research, 43(17), 3657–3670.
Janaki, D., Izadbakhsh, H., & Hatefi, S. (2018). The evaluation of supply chain performance in the Oil Products Distribution Company, using information technology indicators and fuzzy TOPSIS technique. Management Science Letters, 8(8), 835-848.
Lam, C. H., Choy, K. L., Ho, G. T., & Lee, C. K. (2014). An order-picking operations system for managing the batching activities in a warehouse. International Journal of Systems Science, 45(6), 1283-1295.
Menéndez, B., Pardo, E. G., Alonso-Ayuso, A., Molina, E. & Duartea A. (2017). Variable neighborhood search strategies for the order batching problem. Computers and Operations Research, 78(1), 500-512.
Öncan, T. (2015). MILP formulations and an iterated local search algorithm with tabu thresholding for the order batching problem. Journal of Operational Research, 243(1), 142-155.
Petersen, C. G. (1997). An evaluation of order picking routeing policies. International Journal of Operations & Production Management, 17(11), 1098-1111.
Rana, K. (1991). Order-picking in narrow-aisle warehouse. International Journal of Physical Distribution and Logistics Management, 20(2), 9-15.
Theys, C., Bräysy, O., Dullaert, W., & Raa, B. (2010). Using a TSP heuristic for routing order pickers in warehouses. European Journal of Operational Research, 200(3), 755-763.
Tsai, C. Y., Liou, J. J., & Huang, T. M. (2008). Using a multiple-GA method to solve the batch picking problem: considering travel distance and order due time. International Journal of Production Research, 46(22), 6533-6555.
Wetzel, A. (1983). Evaluation of the effectiveness of genetic algorithms in combinatorial optimization. Pittsburgh, Philadelphia, USA: University of Pittsburgh.
Zulj, I., Kramer, S., & Schneider, M. (2018). A hybrid of adaptive large neighborhood search and tabu search for the order-batching problem. European Journal of Operational Research, 264(2), 653-664.
Biswas, T., & Das, M. (2018). Selection of hybrid vehicle for green environment using multi-attributive border approximation area comparison method. Management Science Letters, 8(2), 121-130.
Chen, M. C., & Wu, H. P. (2005). An association-based clustering approach to order batching considering customer demand patterns. Omega, 33(4), 333-343.
De Koster, M. B., Van Der Poort, E. S., & Wolters, M. (1999). Efficient order batching methods in warehouses. International Journal of Production Research, 7(37), 1479 - 1504.
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.
Henn, S., Koch, S., & Wäscher, G. (2012). Order batching in order picking warehouses: a survey of solution approaches. In Warehousing in the global supply chain (pp. 105-137). Springer, London.
Henn, S., & Wäscher, G. (2012). Tabu search heuristics for the order batching problem in manual order picking systems. European Journal of Operational Research, 222(3), 484-494.
Henn, S., Koch, S., Doerner, K., Strauss, C., & Wäscher, G. (2010). Metaheuristics for the order batching problem in manual order picking systems. Business Research, 3(1), 82 - 105.
Ho, Y. C., & Tseng, Y. Y. (2006). A study on order-batching methods of order-picking in a distribution centre with two cross-aisles. International Journal of Production Research, 44(17), 3391 - 3471.
Holland, J. H. (1975). Adaptation in Natural and Artificial Systems. Ann Arbor, MI: University of Michigan Press.
Hwang, H., & Kim, D. (2005). Order-batching heuristics based on cluster analysis in a low-level picker-to-part warehousing system. European Journal of Operational Research, 43(17), 3657–3670.
Janaki, D., Izadbakhsh, H., & Hatefi, S. (2018). The evaluation of supply chain performance in the Oil Products Distribution Company, using information technology indicators and fuzzy TOPSIS technique. Management Science Letters, 8(8), 835-848.
Lam, C. H., Choy, K. L., Ho, G. T., & Lee, C. K. (2014). An order-picking operations system for managing the batching activities in a warehouse. International Journal of Systems Science, 45(6), 1283-1295.
Menéndez, B., Pardo, E. G., Alonso-Ayuso, A., Molina, E. & Duartea A. (2017). Variable neighborhood search strategies for the order batching problem. Computers and Operations Research, 78(1), 500-512.
Öncan, T. (2015). MILP formulations and an iterated local search algorithm with tabu thresholding for the order batching problem. Journal of Operational Research, 243(1), 142-155.
Petersen, C. G. (1997). An evaluation of order picking routeing policies. International Journal of Operations & Production Management, 17(11), 1098-1111.
Rana, K. (1991). Order-picking in narrow-aisle warehouse. International Journal of Physical Distribution and Logistics Management, 20(2), 9-15.
Theys, C., Bräysy, O., Dullaert, W., & Raa, B. (2010). Using a TSP heuristic for routing order pickers in warehouses. European Journal of Operational Research, 200(3), 755-763.
Tsai, C. Y., Liou, J. J., & Huang, T. M. (2008). Using a multiple-GA method to solve the batch picking problem: considering travel distance and order due time. International Journal of Production Research, 46(22), 6533-6555.
Wetzel, A. (1983). Evaluation of the effectiveness of genetic algorithms in combinatorial optimization. Pittsburgh, Philadelphia, USA: University of Pittsburgh.
Zulj, I., Kramer, S., & Schneider, M. (2018). A hybrid of adaptive large neighborhood search and tabu search for the order-batching problem. European Journal of Operational Research, 264(2), 653-664.