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Article
Publication date: 6 January 2023

Lisa Higgins, Anthony Marshall, Kirsten Crysel and Jacob Dencik

Because of its effectiveness, process mining is rapidly becoming ubiquitous. A recent IBM Institute for Business Value (IBV) survey found that 65 percent of organizations report…

Abstract

Purpose

Because of its effectiveness, process mining is rapidly becoming ubiquitous. A recent IBM Institute for Business Value (IBV) survey found that 65 percent of organizations report actively using process mining to improve processes. And in partnership with software-as-a-service (SaaS) providers to add even greater insight into their processes, 69 percent compare their organization’s data with other SaaS customers. And as many as 77 percent of supply chain executives say they are at least at the implementation stage of process and task mining.

Design/methodology/approach

The IBM Institute for Business Value and APQC, in cooperation with Oxford Economics, surveyed 2,000 C-level executives in first half of 2022 from 13 countries in all major geographies and across 22 industries. The IBV and APQC implemented an in-depth analysis of how organizations use benchmarking and process mining tools, the benefits they gain from use of these tools and how they anticipate using them in the future.

Findings

Big data and digital technologies also creates new possibilities for measuring performance and revealing process improvement opportunities through process mining ? a relatively new discipline that applies data science to discover, validate and improve workflows in real time.

Practical/implications

By utilizing data from IT systems to create a process model and then examining the end-to-end process, process mining enables root causes of variations from norms to be identified using specialized algorithms, and these insights enable management to see if processes are functioning as intended and identify new opportunities to optimize them.

Originality/value

More recently, the scope of process mining initiatives has widened to encompass more sophisticated mission-critical functions, notably human capital, cybersecurity and sales. Organizations that embrace process mining outperform others across key business measures, including profitability, innovation, agility, customer satisfaction and technological sophistication. 10;

Details

Strategy & Leadership, vol. 51 no. 2
Type: Research Article
ISSN: 1087-8572

Article
Publication date: 20 February 2024

Xiaobo Shi, Yan Liu, Kunkun Ma, Zixin Gu, Yaning Qiao, Guodong Ni, Chibuzor Ojum, Alex Opoku and Yong Liu

The purpose is to identify and evaluate the safety risk factors in the coal mine construction process.

Abstract

Purpose

The purpose is to identify and evaluate the safety risk factors in the coal mine construction process.

Design/methodology/approach

The text mining technique was applied in the stage of safety risk factor identification. The association rules method was used to obtain associations with safety risk factors. Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretative Structural Modeling (ISM) were utilized to evaluate safety risk factors.

Findings

The results show that 18 safety risk factors are divided into 6 levels. There are 12 risk transmission paths in total. Meanwhile, unsafe behavior and equipment malfunction failure are the direct causes of accidents, and inadequate management system is the basic factor that determines the safety risk status.

Research limitations/implications

Due to the limitation of the computational matrix workload, this article only categorizes numerous lexical items into 18 factors. Then, the workshop relied on a limited number of experts; thus, the findings may be potentially biased. Next, the accident report lacks a universal standard for compilation, and the use of text mining technique may be further optimized. Finally, since the data are all from China, subsequent cross-country studies should be considered.

Social implications

The results can help China coal mine project managers to have a clear understanding of safety risks, efficiently carry out risk hazard identification work and take timely measures to cut off the path of transmission with risks identified in this study. This helps reduce the economic losses of coal mining enterprises, thus improving the safety standards of the entire coal mining industry and the national standards for coal mine safety policy formulation.

Originality/value

Coal mine construction projects are characterized by complexity and difficulties in construction. Current research on the identification and assessment of safety risk factors in coal mine construction is insufficient. This study combines objective and systematic research approaches. The findings contribute to the safety risk management of China coal mine construction projects by providing a basis for the development of safety measures.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 1 March 1985

VINCENT ROFFE

It is recognised by valuers that the effects of coal mining on land in Great Britain can have a significant impact oon the value of a particular site when it is being considered…

Abstract

It is recognised by valuers that the effects of coal mining on land in Great Britain can have a significant impact oon the value of a particular site when it is being considered for potential surface development purposes. In this respect a great many buildings are erected successfully each year within mining areas after the effects of mining have been taken into account. If, however, the adverse effects of mining are not recognised and during the site development stage a problem suddenly appears, it is obvious that this may lead to considerable increases in cost and/or delay to the proposed development for which the land was originally purchased. Obviously with sufficient prior appreciation and investigation of the mining position such situations could be avoided. It is with this in mind that the following paper aims to indicate in broad outline, but in such detail relevant to the valuer, some of the major influences of coal mining which require to be recognised and equated in monetary terms when assessing potential site values for development purposes in mining areas.

Details

Journal of Valuation, vol. 3 no. 3
Type: Research Article
ISSN: 0263-7480

Article
Publication date: 1 March 1988

Y.S. Yu, C.G. Ong and P. Mottahed

Computer simulation is playing an increasingly important role in evaluating the short and long term structural stability of underground mine openings, and in ground control…

Abstract

Computer simulation is playing an increasingly important role in evaluating the short and long term structural stability of underground mine openings, and in ground control studies related to mine design and layout. Such simulations are increasingly being used in the design of underground salt and potash mines. Because of the viscoelastic nature of salt rock, simulation models used in these deposits must take into consideration their time dependent properties if they are to correctly predict opening closures, ground stresses, and ground stability based on prescribed failure criteria. A number of computer codes have been developed in Canada in recent years meeting these requirements. This paper describes the use of one of these codes to predict the ground behaviour of a typical room and pillar mining section of a Western Canadian potash mine. Predicted ground behaviour, based on use of the code, was compared with actual behaviour through field measurements. The study provided good correlation between predicted and measured ground behaviour, and is an encouragement to greater use of numerical modelling in mine stability studies related to mine design.

Details

Engineering Computations, vol. 5 no. 3
Type: Research Article
ISSN: 0264-4401

Article
Publication date: 1 December 2000

Parag C. Pendharkar and James A. Rodger

client/server(C/S) systems have revolutionized the systems development approach. Among the drivers of the C/S systems is the lower price/performance ratio compared to the…

1075

Abstract

client/server(C/S) systems have revolutionized the systems development approach. Among the drivers of the C/S systems is the lower price/performance ratio compared to the mainframe‐based transaction processing systems. Data mining is a process of identifying patterns in corporate transactional and operational databases (also called data warehouses). As most Fortune 500 companies are moving quickly towards the client server systems, it is increasingly becoming important that a data mining approaches should be adapted for C/S systems. In the current paper, we describe different data mining approaches that are used in the C/S systems.

Details

Journal of Systems and Information Technology, vol. 4 no. 2
Type: Research Article
ISSN: 1328-7265

Keywords

Article
Publication date: 1 March 1967

Whereas in pursuance of Part I of Schedule 2 to the Mines and Quarries Act 1954 the Minister of Power has published notice of his intention to make the following regulations and…

Abstract

Whereas in pursuance of Part I of Schedule 2 to the Mines and Quarries Act 1954 the Minister of Power has published notice of his intention to make the following regulations and has not received any objection to the draft thereof in respect to which he is required to refer the draft regulations for inquiry and report:

Details

Managerial Law, vol. 1 no. 6
Type: Research Article
ISSN: 0309-0558

Article
Publication date: 7 August 2017

Xinwang Li, Li Li, Huayong Lv and Tianqiang Guan

This paper aims to develop a computer simulation processing method to simulate the mining operation of self-advancing semi-continuous mining technology and optimize the shift step…

Abstract

Purpose

This paper aims to develop a computer simulation processing method to simulate the mining operation of self-advancing semi-continuous mining technology and optimize the shift step of belt conveyor by using simulation modeling framework based on intelligent objects (SIMIO). The method would effectively solve the challenge of field testing such large-scale equipment.

Design/methodology/approach

The four operational modes of self-advancing semi-continuous mining technology at single bench had been illustrated. The operational system of this technology was analyzed and broken down to single units. By analyzing the time constitution of one operation cycle, the theoretical optimization model of shift step can be established and the optimization criteria is the time utilization ratio being maximum. Once the simulation flow was determined, a three-dimensional (3D) computer simulation model of this mining technology was developed by adapting the SIMIO simulating software to the theoretical model. The models were run to investigate the outputs from different operational modes using geological and mining data from East open-pit mine.

Findings

The result of these simulations showed that the four-mining-width one-shift (FMWOS) is at maximum production capacity during all operation modes. If transfer equipment is necessary, then this mode can adapt, but system will become more complex. There are minor differences between two-mining-width one-shift and three-mining-width one-shift. If transfer equipment is not necessary, then the two-mining-width one-shift can adapt during actual production.

Originality/value

The simulation results show that the proposed method can achieve the optimal shift step of a belt conveyor and effectively reduce the time loss caused by the coordination of multiple pieces of equipment while simultaneously improving operational efficiency.

Details

World Journal of Engineering, vol. 14 no. 4
Type: Research Article
ISSN: 1708-5284

Keywords

Expert briefing
Publication date: 13 May 2015

The impact of organised crime on the mining sector.

Article
Publication date: 10 October 2007

M.W.A. Asad

This paper sets out to propose a new cut‐off optimization algorithm for effective decision making at the open pit mine planning stage.

1696

Abstract

Purpose

This paper sets out to propose a new cut‐off optimization algorithm for effective decision making at the open pit mine planning stage.

Design/methodology/approach

The determination of optimum cut‐off grade to maximize the net present value of an open pit mining operation is influenced by the economic parameters including metal price and operating costs, the capacities of mine, mill, and refining stages, and grade distribution of the mineral deposit. The market plays a vital role in changing the economic parameters; therefore, they may escalate during mine life. The effect of these changes could be enormous on optimum cut‐off grade policy. The main motive is to introduce economic parameters escalation into the established theory of optimum cut‐off grades and study the impact of these changes on overall economics of the operation. Therefore, a cut‐off grade optimization algorithm is developed, which considers dynamic metal price and cost escalation during mine life.

Findings

A copper deposit case study shows that, keeping the metal price escalation at a minimum, the impact of mining and milling costs escalation is relatively higher than refining and administrative costs. Hence, a high‐escalation rate in mining and milling costs may change an economic operation into an uneconomic scenario.

Research limitations/implications

Management of stockpiles as a policy may be introduced in the algorithm for improvement in economy through maximum utilization of mineral resources.

Originality/value

The algorithm due to its flexibility allows analysis of various options in the least possible time, which makes it valuable to mine planners in decision making for major mining investments.

Details

Engineering Computations, vol. 24 no. 7
Type: Research Article
ISSN: 0264-4401

Keywords

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