Functional limitations and requirements for the simulation model of the underground mine logistics system

2019 ◽  
Vol 7 (24) ◽  
pp. 20-24
Author(s):  
O.Yu. Kozlov ◽  
◽  
V.V. Kozlov ◽  
V.V. Agafonov ◽  
◽  
...  
Keyword(s):  
Simulation Model ◽  
Functional Limitations ◽  
Underground Mine ◽  
Logistics System

Simulation model of underground mine logistics system

2019 ◽  
Vol 7 (24) ◽  
pp. 25-29
Author(s):  
O.Yu. Kozlov ◽  
◽  
V.V. Kozlov ◽  
V.V. Agafonov ◽  
◽  
...  
Keyword(s):  
Simulation Model ◽  
Underground Mine ◽  
Logistics System

Simulated processes using the simulation system of the underground mine logistics system

2019 ◽  
Vol 7 (24) ◽  
pp. 15-19
Author(s):  
O.Yu. Kozlov ◽  
◽  
V.V. Kozlov ◽  
V.V. Agafonov ◽  
◽  
...  
Keyword(s):  
Simulation System ◽  
Underground Mine ◽  
Logistics System

scholarly journals SIMULATION MODEL OF LOGISTICS SYSTEM

2019 ◽  
pp. 553-559
Author(s):  
Svilen Stefanov ◽  
Venelin Terziev ◽  
Vanya Banabakova
Keyword(s):  
Simulation Model ◽  
Logistics System

scholarly journals Scheduling Approach for the Simulation of a Sustainable Resource Supply Chain

Logistics ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 12
Author(s):  
Henning Strubelt ◽  
Sebastian Trojahn ◽  
Sebastian Lang ◽  
Abdulrahman Nahhas
Keyword(s):  
Simulation Model ◽  
Storage Site ◽  
Limited Capacity ◽  
Logistics System ◽  
Priority Index ◽  
Waste Storage ◽  
General Goal ◽  
Underground Waste Storage ◽  
Performance Results ◽  
Plant Simulation

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.

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