Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/310039 
Year of Publication: 
2018
Citation: 
[Journal:] Logistics [ISSN:] 2305-6290 [Volume:] 2 [Issue:] 3 [Year:] 2018 [Pages:] 1-11
Publisher: 
MDPI, Basel
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.
Subjects: 
resource supply chain
waste disposal
mining
simulation
logistics processes
scheduling
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.