Author
Listed:
- Mariya Li
(Department of Transport Engineering and Logistics, Satbayev University, Almaty 050013, Kazakhstan)
- Antonio Maffei
(Department of Production Engineering, Royal Institute of Technology in Stockholm, 114 28 Stockholm, Sweden)
- Gulmira Mukhanova
(Department of Transport Engineering and Logistics, Satbayev University, Almaty 050013, Kazakhstan)
- Erzhan Kuldeyev
(Institute of Architecture and Civil Engineering, Satbayev University, Almaty 050013, Kazakhstan)
- Bakytzhan Amralinova
(Institute of Project Management, Satbayev University, Almaty 050013, Kazakhstan)
- Zhazira Tymbayeva
(Department of Transport Engineering and Logistics, Satbayev University, Almaty 050013, Kazakhstan)
Abstract
Kazakhstan’s mining sector, a vital pillar of the national economy, generates significant volumes of waste. This waste has been found to hold considerable residual value, presenting a substantial opportunity for resource recovery and economic benefit. To unlock this value, establishing efficient reverse logistics operations is fundamental, as it enables the recovery, recycling, and reuse of materials in a cost-effective and sustainable manner. This paper introduces a conceptual optimization framework tailored to Kazakhstan’s mining industry to explore the feasibility of reverse supply chain processes. The implementation of strategies informed by this model can improve resource utilization, reduce environmental impact, and deliver long-term economic benefits. The study also identifies potential challenges to adoption and suggests pathways for further refinement of the model to adapt to the evolving needs of Kazakhstan’s mining sector. The model provides a robust analytical foundation to support discussions on developing a holistic strategy for waste management in the sector. It offers key insights into optimizing waste handling, advancing material recovery technologies, and promoting collaboration between public and private stakeholders. By aligning these insights with the regulatory and economic landscape of Kazakhstan, the model serves as a reference point to shape a broader national framework. The outcomes of this study contribute to the achievement of Sustainable Development Goals (SDGs) 9 and 12 by promoting industrial innovation, resource efficiency, and responsible production practices within Kazakhstan’s mining sector.
Suggested Citation
Mariya Li & Antonio Maffei & Gulmira Mukhanova & Erzhan Kuldeyev & Bakytzhan Amralinova & Zhazira Tymbayeva, 2025.
"Reverse Supply Chain Optimization in Kazakhstan’s Mining Industry: Unlocking Value from Waste,"
Sustainability, MDPI, vol. 17(23), pages 1-24, November.
Handle:
RePEc:gam:jsusta:v:17:y:2025:i:23:p:10589-:d:1803302
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:23:p:10589-:d:1803302. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address
(email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.