In this paper, we present a new decision-making tool aimed at improving the efficiency of the operational planning of pick-up processes in logistic distribution centers. | A memetic algorithm for the integral OBP OPP problem in a logistics distribution center Uncertain Supply Chain Management 7 2019 203 214 Contents lists available at GrowingScience Uncertain Supply Chain Management homepage uscm A memetic algorithm for the integral OBP OPP problem in a logistics distribution center Fabio Miguela Mariano Frutosb Fernando Tohméc and Daniel A. Rossitb a Sede Alto Valle y Valle Medio Universidad Nacional de Río Negro. Villa Regina Argentina b Department of Engineering Universidad Nacional del Sur and IIESS-CONICET. Bahía Blanca Argentina c Department of Economics Universidad Nacional del Sur and INMABB-CONICET. Bahía Blanca Argentina CHRONICLE ABSTRACT Article history In this paper we present a new decision-making tool aimed at improving the efficiency of the Received September 9 2018 operational planning of pick-up processes in logistic distribution centers. It is based on a memetic Accepted October 12 2018 algorithm MA solving both the Order Batching Problem OBP and the Order Picking Problem Available online OPP . The result yields a sequence of simultaneous pick up operations of lots for different October 12 2018 Keywords clients in a storing facility satisfying a previously defined distribution plan. The objective is the Order Batching Problem minimization of the operational cost of the entire process which is directly proportional to the Order Picking Problem time spent on different activities involved. The failure to satisfy the conditions either leads to Optimization overstocking delays in delivery or creates inefficiency costs. The analysis of the results obtained Logistics with our algorithmic tool indicates that it has a good performance in comparison with other known algorithms used to solve this kind of problem. 2019 by the authors licensee Growing Science Canada 1. Introduction The optimization of processes in a distribution center is a critical factor for the operational performance of the internal
