One of the main concerns of all industries such as mine industries is to increase their profit and keep their customers through improving quality level of their products; but increasing the quality of products usually releases air pollutants. Nowadays the management of air pollutant emissions with harmful environmental and health effects is one of the most pressing problems. In this paper, auth...

Applying data mining technology to find out hidden knowledge, relationship and trend from a huge amount of data information accumulated in the supply chain will help enterprises use the acquired knowledge to improve decision quality of supply chain management. Based on the discussion of data mining function and the problems in supply chain management, this paper analyzed the application of data...

Background: High concentrations of various heavy metals of mine tailings can easily contaminate the environment. Such materials need monitoring and remediation to prevent them from polluting the environment and food chain. Materials & Methods: The concentrations of certain metals were evaluated in the soil samples at Sorkheh and Mazraeh copper mining areas in northwestern Iran, using three r...

Today's business climate requires supply chains to be proactive rather than reactive, which demands a new approach that incorporates data mining predictive analytics. This paper introduces a predictive supply chain performance management model which combines process modelling, performance measurement, data mining models, and web portal technologies into a unique model. It presents the supply ch...

Metal extraction and smelting cause considerable impacts on the environment. Consumption-based impact accounting highlights the responsibility of metal-consuming industries for the impacts and may drive a system-wide improvement in the structure of related supply chains. To drive the improvements, policies at national level coordinated for respective product types across the nations is needed. ...

Process mining algorithms aim at the automatic extraction of business process models from logs. Most of these algorithms perform well on single-system event traces that explicitly refer to a process instance or case. However, in many operational environments such case identifiers are not directly recorded for events. In supply chain processes there are even further challenges, since different i...

Purpose: The aim of this article is to identify processes and recognise determinants in the copper mining industry supply chain creation activity taking into account influence CoVID-19 pandemic. Design/Approach: research was conducted using qualitative methods. As part procedure, process analysis carried out method mapping (on example mining). To analyse evaluate examined were presented form gr...