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International Journal of Human Factors in Manufacturing is a peer-reviewed journal published by Wiley, covering Product Development and Customization, Ergonomics and Human Factors, Quality and Supply Management.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." International Journal of Human Factors in Manufacturing 12 (3): 45–58.
Formats any DOI in International Journal of Human Factors in Manufacturing style. No sign-up. |
| Publishes research in | Product Development and Customization Ergonomics and Human Factors Quality and Supply Management Occupational Health and Safety Research Human-Automation Interaction and Safety |
| ISSN | 1045-2699 |
| h-index | 22 |
| i10-index | 56 |
| Total citations | 1,815 |
| Top institutions publishing here | Chalmers University of Technology |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Configurations comprise assemblies of technological and nontechnological components, including human factors, built up to meet local contingencies. Examples are drawn from robotics, production systems, CAPM, and IT applications. A possible metric is outlined. Unlike generic systems , configurations do not evidence particular dynamics of development. They may represent an early stage of an overall…
Abstract From the turn of the century to today there has been a revolution in the technology in use at the workplace. Coupled with this has been a major change in the way in which work is organized and managed. The integration of technology and how work is designed, organized, and managed have not always…
Abstract Traditional learning curve models disregard the impact of break periods between consecutive repetitions. Since such breaks generate forgetting, when they do occur, actual performance is inferior to performance forecasted by a typical learning curve model. This study has two major objectives: (1) to test two hypotheses regarding learning and forgetting in the automated factory,…
Abstract Advanced manufacturing systems integrate human workers with computers, automation, and robots. However, they do not often include a class of robotic device called a teleoperator. Teleoperators are human‐robot systems that combine powerful human perceptual and problem‐solving capabilities with the hardiness of machines. Therefore, they are more capable of interacting with dynamic environments than autonomous…
Abstract With the demand for zero‐defect products and the requirement of shorter lead‐time production, designs of inspection systems have changed from using sampling inspection and human inspectors to 100% inspection and automated inspection systems. Unfortunately, automated inspection systems usually cannot meet the required performance without some human intervention. The objectives of this research are to…
