scholarly journals Human Machine Interaction (HMI) in Offshore Drilling - oil rig workers’ opinion about their interaction with machines

2021 ◽  
Vol 11 (3) ◽  
pp. 181-191
Author(s):  
AH Siddique ◽  
T Shamsi ◽  
M Hasan
Keyword(s):  
Human Factor ◽  
Offshore Drilling ◽  
Human Machine Interaction ◽  
Study Approach ◽  
Drilling Operations ◽  
Oil Rig ◽  
Jack Up ◽  
Structured Approach ◽  
Machine Interaction

Introduction: There are huge numbers of drilling platforms in the world and once the worker on those platforms meet with an accident, the situation could be very serious. The consequence of this could be environmental, economic and in some cases fatal. Middle East, being one of the oil rich regions hence some of the largest operator works here. Companies here own various types of jack up rigs ranging from old generation rigs to the latest cyber-rig. This paper addresses what oil rig workers have to say about their interaction with machines, and how Human Machine Interaction (HMI) in Offshore Drilling can be improved with design. Method: A case study approach was undertaken The analysis in this paper draws on the interviews conducted with two different employees involved in operating the drilling operations conducted in the driller’s cabin of newly designed offshore rigs. A semi-structured approach was adopted, using themes identified through analysis of the preceding. The interviews were transcribed by the research team. Each interview was analyzed thematically with existing system and reported discrepancy Results: The study on Human Machine Interaction (HMI) and Human Factor regarding this has been conducted in the latest generation cyber rigs. There are many aspects of HMI and ergonomics but in this study a special concentration has been given to deal with the ergonomic standpoint and evaluates the drillers console controls.  Conclusions: When comparison is done with the existing machinery, few modifications can be thought of for better human machine interaction. A better human machine interaction system will ensure a more productive environment for the oil-rig workers.

scholarly journals Method engineering to increase labor productivity and eliminate downtime

2020 ◽  
Vol 13 (2) ◽  
pp. 321
Author(s):  
Mildrend Montoya-Reyes ◽  
Alvaro González-Angeles ◽  
Ismael Mendoza-Muñoz ◽  
Margarita Gil-Samaniego-Ramos ◽  
Juan Ling-López
Keyword(s):  
Human Factor ◽  
Dead Time ◽  
Research Strategy ◽  
Method Engineering ◽  
Human Machine Interaction ◽  
Manufacturing Cell ◽  
Future Harm ◽  
The Individual ◽  
Machine Interaction

Purpose: The purpose of this work is to present a method based on the application of method engineering, in order to eliminate downtime and improve the manufacturing cell.Design/methodology/approach: The research strategy employed was a case study applied to a manufacturing company to explore the causes of excessive dead time and low productivity. The methodology used was divided in five steps. The first corresponds to the analysis of the lathe and grinding process; the second is the elaboration of the man-machine diagram to identify dead times; the third is the application of the improvement proposal; the fourth is the redistribution of the cell to optimize the process; the fifth is to conclude from the results obtained.Findings: With the proposed method, the downtime was reduced by 41% and only 50% of the available labor is required, therefore, it is concluded that the method can be used to redesign manufacturing cells.Research limitations/implications: This research was limited to analyzing and improving human-machine interaction, since work is not just the machine, or the individual alone, or the individual manipulating the machine, therefore, no other tools were used to improve the time of machines operation.Practical implications: Designing a manufacturing cell that allows the operator to do his job with less fatigue and not adapt the operator to the job, as commonly happens.Social implications: Companies must show a greater interest in occupational health by including human capital in their optimization plans to avoid future harm to workers.Originality/value: The key contribution of this paper focused on developing a novel and practical methodology to design or re-design manufacturing cells to improve productivity considering the human factor, inspired by the main concepts of method engineering.

Digital twin-driven complexity management in intelligent manufacturing

Digital Twin ◽  
2021 ◽  
Vol 1 ◽  
pp. 9
Author(s):  
Yuchen Wang ◽  
Xingzhi Wang ◽  
Fei Tao ◽  
Ang Liu
Keyword(s):  
Intelligent Manufacturing ◽  
Production Lines ◽  
Human Machine Interaction ◽  
Digital Twin ◽  
Complexity Management ◽  
Manufacturing Complexity ◽  
Design Production ◽  
Data Collections ◽  
Machine Interaction

Complexity management is one of the most crucial and challenging issues in manufacturing. As an emerging technology, digital twin provides an innovative approach to manage complexity in a more autonomous, analytical and comprehensive manner. This paper proposes an innovative framework of digital twin-driven complexity management in intelligent manufacturing. The framework will cover three sources of manufacturing complexity, including product design, production lines and supply chains. Digital twin provides three services to manage complexity: (1) real-time monitors and data collections; (2) identifications, diagnoses and predictions of manufacturing complexity; (3) fortification of human-machine interaction. A case study of airplane manufacturing is presented to illustrate the proposed framework.

scholarly journals Transdisciplinary Assessment Matrix to Design Human-Machine Interaction

2020 ◽  
Author(s):  
Fabio Grandi ◽  
Margherita Peruzzini ◽  
Roberto Raffaeli ◽  
Marcello Pellicciari
Keyword(s):  
User Experience ◽  
Interaction Analysis ◽  
Mental Workload ◽  
Physiological Data ◽  
Human Machine Interaction ◽  
Simulated Environments ◽  
Assessment Matrix ◽  
Physical Comfort ◽  
Machine Interaction

Successful interaction with complex systems is based on the system ability to satisfy the user needs during interaction tasks, mainly related to performances, physical comfort, usability, accessibility, visibility, and mental workload. However, the “real” user experience (UX) is hidden and usually difficult to detect. The paper proposes a Transdisciplinary Assessment Matrix (TAS) based on collection of physiological, postural and visibility data during interaction analysis, and calculation of a consolidated User eXperience Index (UXI). Physiological data are based on heart rate parameters and eye pupil dilation parameters; postural data consists of analysis of main anthropometrical parameters; and interaction data from the system CAN-bus. Such a method can be adopted to assess interaction on field, during real task execution, or within simulated environments. It has been applied to a simulated case study focusing on agricultural machinery control systems, involving users with a different level of expertise. Results showed that TAS is able to validly objectify UX and can be used for industrial cases.

scholarly journals Maintenance Impact on Geothermal Drilling Operations. A Case Study Approach

2021 ◽  
Vol 11 (02) ◽  
pp. 183-201
Author(s):  
Stanley M. Mburu ◽  
James M. Wakiru ◽  
Peter N. Muchiri ◽  
Liliane Pintelon
Keyword(s):  
Case Study Approach ◽  
Study Approach ◽  
Drilling Operations ◽  
Geothermal Drilling

scholarly journals Green Pedagogy: Using Confrontation and Provocation to Promote Sustainability Skills

2021 ◽  
Author(s):  
Anne Fox ◽  
Christine Wogowitsch
Keyword(s):  
Home Economics ◽  
Evidence Based ◽  
Pedagogical Approach ◽  
Pedagogical Strategies ◽  
Academic Field ◽  
Study Approach ◽  
New Ideas ◽  
Concept Change ◽  
Structured Approach

The chapter describes the features of Green Pedagogy, originally developed in Austria in German where it is still being actively researched. Green Pedagogy offers a structured approach to lesson planning to achieve embedded sustainability competencies within a specific vocational or academic field. The Green Pedagogy approach achieves sustainability competency through a controlled appeal to the emotions and the explicit uncovering of learner values to take on new ideas and new perspectives in a more sustainable direction. The approach is compatible with many recommended Education for Sustainable Development (ESD) pedagogies such as project-based teaching and the case study approach. The approach also implements several more general evidence-based pedagogical strategies such as concept change. The key feature of Green Pedagogy is that the process ends with locally based action whose wider implications are explored. We relate some of the challenges involved in translating a pedagogical approach from one language to another as the ProfESus Erasmus project aimed to disseminate Green Pedagogy to a global cohort of teachers of home economics in English. Reactions of participating teachers in the piloting of the training are explored and some practical solutions offered.

A Metrics Framework for Product Development in Software Startups

2019 ◽  
Vol 27 (03) ◽  
pp. 283-307
Author(s):  
Narendranath Shanbhag ◽  
Eric Pardede
Keyword(s):  
Product Development ◽  
Business Models ◽  
Case Study Approach ◽  
Problem Space ◽  
Study Approach ◽  
Software Products ◽  
Business Cases ◽  
Successful Business ◽  
Structured Approach

Business cases and customer problem spaces are evolving quicker than ever before and more startups are moving to adopt the lean startup methodology to match this speed of changing customer needs. This phenomenon, however, comes with its own set of opportunities and challenges for startups to build great products, while catering to customer pain points. To this end, there is a need for a metrics framework which can help startups succeed in creating good software solutions and building successful business models around these solutions. Metrics can help measure the effectiveness of the product in relation to the customer problem and help drive key decisions in both the product and business aspects of the startup. This paper reviews current frameworks on metrics for software products, studies the appropriateness in the context of software startups and proposes a metrics framework to help provide good software experiences, while subsequently building good business models around these experiences. The framework is designed to cover aspects of both the product and business space, ranging from considerations of the problem space identification to the evolution of the solution. The proposed framework is validated using a case study approach of a successful startup. The framework aims to help startups in their journey to success by providing an end to end, structured approach to metric identification.

Human-machine interaction: A case study on fake news detection using a backtracking based on a cognitive system

2019 ◽  
Vol 55 ◽  
pp. 77-81 ◽  
Author(s):  
Hoon Ko ◽  
Jong Youl Hong ◽  
Sangheon Kim ◽  
Libor Mesicek ◽  
In Seop Na
Keyword(s):  
Cognitive System ◽  
Fake News ◽  
Human Machine Interaction ◽  
Machine Interaction

Caregivers' Perceptions of Speech-Language Pathologist Talk About Child Language and Literacy Disorders

2020 ◽  
Vol 29 (4) ◽  
pp. 2049-2067
Author(s):  
Karmen L. Porter ◽  
Janna B. Oetting ◽  
Loretta Pecchioni
Keyword(s):  
Language And Literacy ◽  
Collective Case Study ◽  
Study Approach ◽  
School Aged Children ◽  
Speech Language Pathologist ◽  
Therapy Goals ◽  
Semistructured Interviews ◽  
Types Of Information

Purpose This study examined caregiver perceptions of their child's language and literacy disorder as influenced by communications with their speech-language pathologist. Method The participants were 12 caregivers of 10 school-aged children with language and literacy disorders. Employing qualitative methods, a collective case study approach was utilized in which the caregiver(s) of each child represented one case. The data came from semistructured interviews, codes emerged directly from the caregivers' responses during the interviews, and multiple coding passes using ATLAS.ti software were made until themes were evident. These themes were then further validated by conducting clinical file reviews and follow-up interviews with the caregivers. Results Caregivers' comments focused on the types of information received or not received, as well as the clarity of the information. This included information regarding their child's diagnosis, the long-term consequences of their child's disorder, and the connection between language and reading. Although caregivers were adept at describing their child's difficulties and therapy goals/objectives, their comments indicated that they struggled to understand their child's disorder in a way that was meaningful to them and their child. Conclusions The findings showed the value caregivers place on receiving clear and timely diagnostic information, as well as the complexity associated with caregivers' understanding of language and literacy disorders. The findings are discussed in terms of changes that could be made in clinical practice to better support children with language and literacy disorders and their families.

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