Automation in the Mining Industry: Review of Technology, Systems, Human Factors, and Political Risk

Rogers, W. Pratt; Kahraman, Muhammet Mustafa; Drews, Frank A.; Powell, Kody M.; Haight, Joel M.; Wang, Yaxue; Baxla, Kritika; Sobalkar, Mohit

doi:10.1007/s42461-019-0094-2

Cited by 37 publications

(21 citation statements)

References 107 publications

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“…However, the design complexity in smart systems can occur in both directions, where in one direction the human must be able to effectively cooperate with other existing physical system components and simultaneously exchange data with system informatics for hybrid decision making (Fernandez-Carames & Fraga-Lamas, 2018 ; Schulze et al, 2005 ; Zheng et al, 2018 ). The reverse direction is that the design of such smart systems must be capable of sensing and responding to the trust levels of humans they interact with in order to result in more productive relationships between the human and other smart components (Chang et al, 2017 ; Rogers et al, 2019 ; Seitz et al, 2021 ; Song et al, 2016 ; Van Acker et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

“…Numerous contributions have been written on Industry 4.0 areas; however, the majority of them focus on the technical aspects in which human factors are commonly underestimated (Bhamare et al, 2020 ; Grandi et al, 2020 ; Pacaux-Lemoine et al, 2017 ; Peruzzini et al, 2019 ; Theuer et al, 2013 ). There is an increasing concern about how human factors are barely considered in design for products and/or services and poorly addressed in manufacturing, causing complex problems with often unknown consequences across different industrial contexts: nuclear accidents (Wu et al, 2016 ), market failures in new product development (García-Magro & Soriano-Pinar, 2019 ), robotic-surgery-related adversities (Varshney & Alemzadeh, 2017 ), technological accidents during machine manipulation (Pacaux-Lemoine et al, 2017 ), and interaction issues among humans and smart systems (Jung et al, 2017 ; Rogers et al, 2019 ; Streitz, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

“…This is manifest in the substantial body of literature providing signposts of theoretical frameworks and models, implementation methodologies, and case studies in cross-disciplinary contexts. The scope of the research is extensive: customer-centric business models associated with customer involvement in design (Adrodegari & Saccani, 2020 ; Grieger & Ludwig, 2019 ; Saha et al, 2020 ; Santos et al, 2018 ); smart design engineering in which the users and emotional interactions are empowered (Benabdellah et al, 2019 ; Pereira Pessôa & Jauregui Becker, 2020 ); technology design in which users are centred (Chen & Duh, 2019 ; Rogers et al, 2019 ); interaction designs among operators and smart manufacturing components (Klumpp et al, 2019 ; Rossi & Di Nicolantonio, 2020 ); human-centred designs for product development (Chen et al, 2016 ; Wu et al, 2013 ); data processing by which humans remain the first design consideration of a data-driven approach (Crabtree & Mortier, 2015 ; Victorelli et al, 2020b ); sustainability in social-technical manufacturing contexts, including social robotic interactions with humans (Bednar & Welch, 2020 ; Leng & Jiang, 2017 ; Richert et al, 2018 ; Streitz, 2019 ).…”

Section: Introductionmentioning

confidence: 99%

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Human-centred design in industry 4.0: case study review and opportunities for future research

2021

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The transition to industry 4.0 has impacted factories, but it also affects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring influencing factors, and proving the effectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the field; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Human-centred design in industry 4.0: case study review and opportunities for future research

2021

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“…There is a visible lack of review articles in the area of risks associated with mining machinery. The analyses carried out allowed us to identify only two reviews of literature devoted to machinery, while taking into account the human factor issues [23,24]. The remaining four review articles were classified as general as they did not concern any of the groups distinguished above and were more general in nature [25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment Methods in Mining Industry—A Systematic Review

Tubis

Werbińska-Wojciechowska

Wroblewski

2020

Applied Sciences

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Recently, there has been a growing interest in the mining industry in issues related to risk assessment and management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies have indicated that risk in mining should be analyzed not only in the human factor aspect, but also in strategic (environmental impact) and operational ones. However, there is a lack of research on systematic literature reviews and surveys of studies that would focus on these identified risk aspects simultaneously. Therefore, the purpose of this article is to develop a literature review in the area of analysis, assessment and risk management in the mining sector, published in the last decade and based on the concept of a human engineering system. Following this, a systematic search was performed with the use of Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria were: (a) not older than 10 years, (b) article written in English, (c) publication type (scientific article, book, book chapter), (d) published in chosen electronic collections (Springer, Taylor and Francis, Elsevier, Science Direct, JSTOR). This resulted in the selection of the 94 most relevant papers in the area. First, the general bibliometric analysis was conducted. Later, the selected papers in this review were categorized into four groups and the critical review was developed. One of the main advantages of this study is that the results are obtained from different scientific sources/databases thanks to using a multi-search tool. Moreover, the authors identified the main research gaps in the area of the implementation of risk management in the mining industry.

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“…This is critical in cars as the tasks the machine performs are usually at speed, which means that unexpected changes can lead to a clumsy handover. One review paper [13] discussed task allocation in the mining industry, highlighting the importance of human operators due to their judgement. Although this paper was aimed towards mining, meaning trenching isn't considered, 3rd UK-RAS Conference for PhD Students & Early Career Researchers, Hosted virtually by University of Lincoln, April 2020 https://doi.org/10.31256/Ew3Zn4Z there are several transferable concepts that can be applied to construction.…”

Section: Existing Literaturementioning

confidence: 99%

Task Delegation and Architecture for Autonomous Excavators

Rankin¹,

Justham²,

Goh³

et al. 2020

UK-RAS Conference for PhD and Early Career Researchers Proceedings

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The construction industry is required to deliver safe, productive machines. One method being considered by heavy equipment manufacturers is autonomy. Implementing autonomy to heavy machines is unique, due to the highly skilled nature of a machine's operation meaning that different levels of autonomy may be more suitable for different tasks. Therefore, effective collaboration strategies between human operators and machines are needed. This paper proposes a machine architecture that considers the task delegation between the operator and machine.

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Automation in the Mining Industry: Review of Technology, Systems, Human Factors, and Political Risk

Cited by 37 publications

References 107 publications

Human-centred design in industry 4.0: case study review and opportunities for future research

Human-centred design in industry 4.0: case study review and opportunities for future research

Risk Assessment Methods in Mining Industry—A Systematic Review

Task Delegation and Architecture for Autonomous Excavators

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