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.

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.

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 A user-specific human-machine interaction strategy for a prosthetic shank adapter

2017 ◽  
Vol 3 (2) ◽  
pp. 493-496 ◽  
Author(s):  
Florian Stuhlenmiller ◽  
Jochen Schuy ◽  
Philipp Beckerle ◽  
Stephan Rinderknecht
Keyword(s):  
Individual Preference ◽  
Torsional Stiffness ◽  
Limb Amputation ◽  
Human Machine Interaction ◽  
Gait Parameters ◽  
Noticeable Reduction ◽  
The Individual ◽  
Interaction Strategy ◽  
Machine Interaction ◽  
Foot Alignment

AbstractFor people with lower limb amputation, a user-specific human-machine interaction with their prostheses is required to ensure safe and comfortable assistance. Especially during dynamic turning manoeuvres, users experience high loads at the stump, which decreases comfort and may lead to long-term tissue damage. Preliminary experiments with users wearing a configurable, passive torsional adaptor indicate increased comfort and safety achieved by adaptation of torsional stiffness and foot alignment. Moreover, the results show that the individual preference regarding both parameters depend on gait situation and individual preference. Hence, measured loads in the structure of the prosthesis and subjective feedback regarding comfort and safety during different turning motions are considered in a user-specific human-machine interaction strategy for a prosthetic shank adaptor. Therefore, the interrelations of gait parameters with optimal configuration are stored in an individual preference-setting matrix. Stiffness and foot alignment are actively adjusted to the optimal parameters by a parallel elastic actuator. Two subjects reported that they experienced appropriate variation of stiffness and foot alignment, a noticeable reduction of load at the stump and that they could turn with less effort.

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 Simulation of Human-Machine Interaction in an Automotive Manufacturing Cell Using Digital Factory (DF)

2016 ◽  
Vol 14 (2) ◽  
pp. 133-140
Author(s):  
Guilherme Canuto da Silva ◽  
Leonardo Morais de Souza ◽  
Paulo Carlos Kaminski
Keyword(s):  
Human Machine Interaction ◽  
Automotive Manufacturing ◽  
Digital Factory ◽  
Manufacturing Cell ◽  
Machine Interaction

scholarly journals Music Psychology of the Piano-Playing Hands in Historical Discourse

2021 ◽  
Vol 38 (1) ◽  
pp. 32-66
Author(s):  
Youn Kim
Keyword(s):  
Music Cognition ◽  
Piano Pedagogy ◽  
The Body ◽  
Human Machine Interaction ◽  
Historical Discourse ◽  
Music Psychology ◽  
Scientific Context ◽  
The Individual ◽  
Machine Interaction ◽  
Piano Playing

Music-making hands have drawn considerable scholarly attention, featuring prominently in recent investigations in biomechanics, paleoanthropology, and cognitive sciences. Yet already in the late nineteenth and early twentieth centuries, piano pedagogy theories were evolving not only in response to changing musical styles but also to scientific conceptualizations of the human body. Taking piano-playing hands as a platform for human/machine interaction, this article analyzes the historical discourse on piano-playing hands in relation to the contemporary scientific context and via the framework of cognitive science. In this process, these scientific and pedagogical writings, which have been previously discussed only dispersedly and marginally, emerge as more than didactic instruction. This historical discourse on music psychology of piano-playing hands points to music cognition that is extended beyond the body, situated in activity, and distributed beyond the individual.

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

scholarly journals The role of (dynamic) capabilities in the transformation of a multi-organizational setting

2021 ◽  
Author(s):  
Lauri Paavola
Keyword(s):  
Dynamic Capabilities ◽  
Organizational Context ◽  
Research Strategy ◽  
Organizational Setting ◽  
Case Research ◽  
History Of ◽  
The Individual ◽  
Strategy I

AbstractThis paper analyzes the role of dynamic capabilities in the transformation of a multi-organizational setting. I conduct an embedded multi-case study in which the cases represent critical transformational events in the history of a shopping center. The five critical transformational events, which have exerted substantial influence on the organizations operating in the context, are concerned with the construction of new premises, modernization of existing premises, and the introduction of new services. I analyze and classify related (dynamic) capabilities of individual organizations, resulting in aggregated outcomes that determine the evolution of the entity. Applying an abductive case research strategy, I then generate five distinct theoretical results on the effects and the interconnectedness of the multi-organizational context, the individual organizations, and their dynamic capabilities.

Sign in / Sign up

Export Citation Format

Share Document