A memetic algorithm for the integral OBP/OPP problem in a logistics distribution center

MIGUEL, FABIO; FRUTOS, MARIANO; TOHMÉ, FERNANDO; ROSSIT, DANIEL A.

Uncertain Supply Chain Management

GrowingScience

Año: 2019 vol. 7 p. 203 - 214

2291-6822

In this paper, we present a new decision-making tool aimed at improving the efficiency of theoperational planning of pick-up processes in logistic distribution centers. It is based on a memeticalgorithm (MA) solving both the Order Batching Problem (OBP) and the Order Picking Problem(OPP). The result yields a sequence of simultaneous pick up operations of lots for differentclients in a storing facility, satisfying a previously defined distribution plan. The objective is theminimization of the operational cost of the entire process, which is directly proportional to thetime spent on different activities involved. The failure to satisfy the conditions, either leads tooverstocking, delays in delivery or creates inefficiency costs. The analysis of the results obtainedwith our algorithmic tool indicates that it has a good performance in comparison with otherknown algorithms used to solve this kind of problem.