Human factor engineering in supply chain automation

Blockchain technology will bring a disruption in plenty of industries and businesses. Recently it proved the robustness, immutability, auditability, in many crucial practical applications. The blockchain structure offers traceability of actions, alterations, alerts, which is an important property of a system needed for development of sustainable technologies. A crucial part of the blockchain technology regarding the optimization of the processes is the smart contract. It is a self-executable computer code, open and transparent, encoding the terms of a regular contract. It is able to automate the processes, thus decreasing the human-factor mistakes or counterfeits. In this paper, we are presenting the feasibility of the blockchain technology in the certification processes, with an application developed for university diploma certification. The example is easily transferable in other areas and business models such as logistics, supply chain management, or other segments where certification is essential.

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Reinforcing the significance of human factor in achieving quality performance in data-driven supply chain management

The TQM Journal ◽

10.1108/tqm-12-2020-0303 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sanjana Mondal ◽

Kaushik Samaddar

Keyword(s):

Supply Chain ◽

Organizational Performance ◽

Industry 4.0 ◽

Management Practices ◽

Human Factor ◽

Research Work ◽

Data Driven ◽

Theory Approach ◽

Quality Performance ◽

Content Type

PurposeThe paper aims to explore the various dimensions of human factor relevant for integrating data-driven supply chain quality management practices (DDSCQMPs) with organizational performance. Keeping the transition phase from “Industry 4.0” to “Industry 5.0” in mind, the paper reinforces the role of the human factor and critically discusses the issues and challenges in the present organizational setup.Design/methodology/approachFollowing the grounded theory approach, the study arranged in-depth interviews and focus group sessions with industry experts from various service-oriented firms in India. Dimensions of human factor identified from there were grouped together through a morphological analysis (MA), and interlinkages between them were explored through a cross-consistency matrix.FindingsThis research work identified 20 critical dimensions of human factor and have grouped them under five important categories, namely, cohesive force, motivating force, regulating force, supporting force and functional force that drive quality performance in the supply chain domain.Originality/valueIn line with the requirements of the present “Industry 4.0” and the forthcoming “Industry 5.0”, where the need to collaborate human factor with smart system gets priority, the paper made a novel attempt in presenting the critical human factors and categorizing them under important driving forces. The research also contributed in linking DDSCQMPs with organizational performance. The proposed framework can guide the future researchers in expanding the theoretical constructs through initiating further cross-cultural studies across industries.

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Human Factor Engineering in Oil and Gas Construction Works – A Case Study to Mitigate Safety Risk

Lecture Notes in Civil Engineering - ICCOEE2020 ◽

10.1007/978-981-33-6311-3_68 ◽

2021 ◽

pp. 590-601

Author(s):

Mat Saaud Nor Arinee ◽

Othman Idris ◽

Ir Baharuddin A. Rahim

Keyword(s):

Human Factor ◽

Oil And Gas ◽

Safety Risk ◽

Human Factor Engineering ◽

Construction Works

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Human Factors in Interface Design

Human Factors in Information Systems ◽

10.4018/978-1-931777-10-0.ch004 ◽

2011 ◽

pp. 45-54 ◽

Cited By ~ 1

Author(s):

Qiyang Chen ◽

Vinai Sharma

Keyword(s):

Human Factors ◽

Mental Models ◽

Interface Design ◽

Human Factor ◽

System Analysis ◽

User Performance ◽

System Analysis And Design ◽

Human Factor Engineering ◽

Analysis And Design

This paper discusses the issues of human factors that affect interface design. It addresses the challenges that system analysts may face. It presents the strategies of incorporating human factor engineering into the process of system analysis and design. The user performance and their mental models are also discussed.

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Ergonomic Design Considerations for Ultrasound Real-Time Scanners

Journal of Diagnostic Medical Sonography ◽

10.1177/875647938500100603 ◽

1985 ◽

Vol 1 (6) ◽

pp. 251-254

Author(s):

Thomas H. Shawker ◽

Mary Ann Russell

Keyword(s):

Real Time ◽

Human Factor ◽

Study Quality ◽

Ergonomic Design ◽

Human Factor Engineering ◽

Design Considerations

The existing design of ultrasound real-time scanners is not satisfactory from the standpoint of operator comfort or efficient use. As currently configured, these units are cumbersome and fatiguing to use and require unnecessarily complex and time-consuming movements on the part of the operator. Redesigning ultrasound scanners so that they conform to accepted principles of ergonomics or human-factor engineering should make it possible to achieve increased efficiency and improved study quality.

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Study on a Methodology of Human Factor Engineering Operating Experience Review for Nuclear Power Plant

18th International Conference on Nuclear Engineering: Volume 1 ◽

10.1115/icone18-29587 ◽

2010 ◽

Author(s):

Danying Gu ◽

Shuhui Zhang ◽

Zhonghe Ning

Keyword(s):

Nuclear Power ◽

Power Plants ◽

Human Factor ◽

Operating Experience ◽

Sources Of Information ◽

Nuclear Facilities ◽

Human Factor Engineering ◽

Design Procedures ◽

Function Allocation ◽

Review Criterion

The reviewing of operating experience at nuclear power plants (NPP) is not only critically important to safe and reliable operations, but also useful to guide the design of new plants which are similar to the current one under review. How to identify and analyze the safety-related operating experience and then implement a more extensive review is a vital and challengeable issue. In this paper, a methodology of human factor engineering (HFE) operating experience review (OER) is proposed for NPP. The need for the application of HFE in the life cycle activities of NPP and other nuclear facilities has been demonstrated by plant operating histories and regulatory and industry reviews. As a very important element of HFE, the OER is performed from the beginning of the design process. The main purpose of performing an OER is to verify that the applicant has identified and analyzed HFE-related safety problems and issues in previous designs that are similar to the current one. In this way, negative features associated with predecessor designs may be avoided in the current NPP design while retaining positive features. The research of OER concentrates on the aspect of review criterion, scope and implementation procedure of the HFE-related operating experience. As the NRC requirement, the scope of operating experience can be divided into six types in accordance with sources of information. The implementation procedures of USA and China are introduced, respectively. The resolution of HFE OER issues involve function allocation, changes in automation, HSI equipment design, procedures, training, and so forth. The OER conclusions can contribute to other HFE activities and improve the safety, reliability and usability of the HSI design in NPP.

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Assessing the cognitive complexity of cyber range environments

The Journal of Defense Modeling and Simulation Applications Methodology Technology ◽

10.1177/1548512918820654 ◽

2019 ◽

Vol 17 (1) ◽

pp. 39-46

Author(s):

Antonio Roque ◽

Douglas Stetson ◽

Daniel J Hannon

Keyword(s):

Cognitive Complexity ◽

Task Difficulty ◽

Human Factor ◽

Assessment Method ◽

Operating Environment ◽

Conceptual Foundation ◽

Human Factor Engineering ◽

Operating Environments ◽

Key Concepts ◽

Cyber Range

We present a conceptual foundation and empirical framework for modeling cognitive complexity in cyber range event operating environments. Definitions of key concepts, such as cognitive complexity, task difficulty, and Blue Team cognitive workload, are informed by the literature of human factor engineering. This is followed by an approach to assessing cognitive complexity as experienced by a Blue Team in a given cyber range event operating environment, and a validation of that assessment method.

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