Authors: V. Sathiya; M. Chinnadurai
Addresses: Department of Electronics and Communication Engineering, E.G.S. Pillay Engineering College, Nagapattinam, 611 002, Tamil Nadu, India ' Department of Computer Science and Engineering, E.G.S. Pillay Engineering College, Nagapattinam, 611 002, Tamil Nadu, India
Abstract: In 2017, CO2 emissions from logistics activities is 0.82 million tons across the world. Introduction of low exhaust emission vehicles, reduction in transportation distance, introduction of electrical vehicles, improvement in load factor, reduction in cost, fast delivery are goals of green logistics. To accomplish these goals, Autonomous mobile robots are good choice. This paper proposes a good method for improving the performance of a warehouse robot by a multi objective optimal motion planning. Wheeled mobile robot is considered. Two multi objective optimisation algorithms [elitist non-dominated sorting genetic algorithm (NSGA-II) and multi objective differential evolution (MODE)] are used. A cubic NURBS curve constructs the robot path. Four multi objective performance metrics and two methods are utilised to examine the performance of MODE and NSGA-II algorithms. The results from a numerical simulation proved that the suggested method is a good idea to improve the green warehouse operations and to do necessary automation.
Keywords: green logistics; green warehouse; autonomous mobile robot; multi objective optimal motion planning; elitist non-dominated sorting genetic algorithm; NSGA-II; multi objective differential evolution; fuzzy logic.
International Journal of Productivity and Quality Management, 2019 Vol.28 No.1, pp.68 - 89
Received: 28 Feb 2018
Accepted: 06 Jul 2018
Published online: 24 Sep 2019 *