The production systems green development: Waste logistics and data-driven waste management

Increasing the environmental friendliness of production systems is largely dependent on the effective organization of waste logistics within a single enterprise or a system of interconnected market participants. The purpose of this article is to develop and test a methodology for evaluating a data-based waste logistics model, followed by solutions to reduce the level of waste in production. The methodology is based on the principle of balance between the generation and beneficial use of waste. The information base is data from mandatory state reporting, which determines the applicability of the methodology at the level of enterprises and management departments. The methodology is presented step by step, indicating data processing algorithms, their convolution into waste turnover efficiency coefficients, classification of coefficient values and subsequent interpretation, typology of waste logistics models with access to targeted solutions to improve the environmental sustainability of production. The practical implementation results of the proposed approach are presented using the production example of chemical products. Plastics production in primary forms has been determined, characterized by the interorganizational use of waste and the return of waste to the production cycle. Production of finished plastic products, characterized by a priority for the sale of waste to other enterprises. The proposed methodology can be used by enterprises to diagnose existing models for organizing waste circulation and design their own economically feasible model of waste processing and disposal.

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Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-10-31
DOI
https://doi.org/10.24294/jipd.v8i12.9031
Citations
1
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.29
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article

The production systems green development: Waste logistics and data-driven waste management

Irina Ershova, Т. А. Малышева, Alexey I. Shinkevich
1 citations
Journal of Infrastructure Policy and Development
Municipal Solid Waste Management
0.29
article

The production systems green development: Waste logistics and data-driven waste management

Irina Ershova, Т. А. Малышева, Alexey I. Shinkevich
article en
1 citations

Abstract

Increasing the environmental friendliness of production systems is largely dependent on the effective organization of waste logistics within a single enterprise or a system of interconnected market participants. The purpose of this article is to develop and test a methodology for evaluating a data-based waste logistics model, followed by solutions to reduce the level of waste in production. The methodology is based on the principle of balance between the generation and beneficial use of waste. The information base is data from mandatory state reporting, which determines the applicability of the methodology at the level of enterprises and management departments. The methodology is presented step by step, indicating data processing algorithms, their convolution into waste turnover efficiency coefficients, classification of coefficient values and subsequent interpretation, typology of waste logistics models with access to targeted solutions to improve the environmental sustainability of production. The practical implementation results of the proposed approach are presented using the production example of chemical products. Plastics production in primary forms has been determined, characterized by the interorganizational use of waste and the return of waste to the production cycle. Production of finished plastic products, characterized by a priority for the sale of waste to other enterprises. The proposed methodology can be used by enterprises to diagnose existing models for organizing waste circulation and design their own economically feasible model of waste processing and disposal.

Journal of Infrastructure Policy and DevelopmentVol. 8(12)
Kazan State Technological University (RU), Southwest Minnesota State University (US)
Responsible consumption and production
Openalex Percentile: Top 37%
Municipal Solid Waste Management
0.29
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The production systems green development: Waste logistics and data-driven waste management — Irina Ershova, Т. А. Малышева, et al. · Journal of Infrastructure Policy and Development (2024) | TGRS Research Map | TGRS