Agent Optimization for “Open Platform for Innovation in Logistics“ (OPIL)

Abstract This manuscript presents the development of an innovative module intended for integration into the Open Platform for Innovation in Logistics (OPIL) library, which plays a pivotal role in the European Union Horizon 2020 initiative, codenamed “Grow your manufacturing business“ (commonly referred to as Better Factory). The primary aim of this module is to perform efficient computations to determine the optimal number of agents required for material transportation within logistics operations. This task holds considerable importance, particularly during the nascent stages of logistics automation or subsequent phases of expansion. The recently developed module has been designed as an autonomous Docker image. To demonstrate the effectiveness of the proposed approach, this manuscript provides two examples. The first example showcases the module’s application in logistics. The second example demonstrates the module’s broader scope by applying it to an inspection task. These examples serve to underscore the versatility and practicality of the newly created module in addressing diverse challenges within logistics and beyond.