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Logistics 2018, 2(3), 12; https://doi.org/10.3390/logistics2030012

Scheduling Approach for the Simulation of a Sustainable Resource Supply Chain

Institute of Logistics and Material Handling Systems, Otto-von-Guericke University Magdeburg, 39106 Magdeburg, Germany
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Received: 12 June 2018 / Revised: 8 July 2018 / Accepted: 12 July 2018 / Published: 16 July 2018
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Abstract

The general goal of waste management is to conserve resources and avoid negative environmental impacts. This paper deals with the optimization of logistics processes at an underground waste storage site by means of solving scheduling issues and reducing setup times, with the help of a simulation model. Specific to underground waste storage is the fact that it is often only a side business to actual mining. With limited capacity and resources, all legal requirements must be met, while the business should still be profitable. This paper discusses the improvement of a logistical system’s performance using machine scheduling approaches with the support of a plant simulation model. The process sequence is determined by means of a priority index. Genetic algorithms are then applied to improve the priority index to further increase performance. Results of the simulation model show that the performance of the logistics system can be increased by up to 400 percent, ensuring adequate system performance for current as well as future demand without changes to the system’s capacities and resources. View Full-Text
Keywords: resource supply chain; waste disposal; mining; simulation; logistics processes; scheduling resource supply chain; waste disposal; mining; simulation; logistics processes; scheduling
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Strubelt, H.; Trojahn, S.; Lang, S.; Nahhas, A. Scheduling Approach for the Simulation of a Sustainable Resource Supply Chain. Logistics 2018, 2, 12.

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