New Product Development Processes for IOT-Enabled Home Use Medical Devices: A Systematic Review

Background: In the new forefront of healthcare at patients’ homes, medical devices developed to use at home setting by lay users are essential. The adoption of home-use medical devices will benefit both patients and public healthcare services in terms of quality of life, enhanced outcomes, and reduced cost of care. Home use medical devices associated with Internet-Of-Things (IOT) technology assists patients in performing self-care as well as providing health information remotely to health care professionals. However, adopting technology requires understanding the nature of the medical device and medical device development (MDD). Existing studies concerning the new product development (NPD) processes or design processes were systematically reviewed to explore knowledge and expertise to provide a framework for IOT engineers or designers to adopt IOT technology to home use medical devices. Objective: This study aimed to review the published literature to explore the current studies in the field of the NPD process, design process, design methodology, and outcome of the device affecting user acceptance. Methods: A systematic review following PRISMA guidelines of the English language literature from four electronic databases and academic search engines published from 2007 to 2018 was conducted. The papers were screened and assessed following predefined inclusive and exclusive criteria. The results were analyzed according to the research questions. Results: The findings revealed state-of-the-art in the NPD process and design process (n=4), the design methodology (n=23), and the resultant outcomes of empirical or clinical research in the validation stage (n=14) of medical device development (MDD). The findings also delineated existing studies in NPD, design process, and design methodologies aimed to ensure that medical devices would be effective and safe. Human factor engineering (HFE), cognitive method, ethnographic, and other methodologies were proposed to understand users, uses and context of use. Barriers, constraints, and multidisciplinary communication were addressed. Tools, processes, and methodologies were proposed to overcome the barriers. Conclusion: As home-use medical device development (MDD) and the adoption of IOT technology is now at a crossroads. This study addresses the necessity for future academic studies related to IOT adoption to MDD, including unique risks, multidisciplinary problems, emerging from IOT technology. Finally, future studies aimed at fabricating the NPD process or design process for IOT home-use medical devices to gain user acceptance were outlined

Application of Collaborative Robots for Increasing Productivity in an Eyeglasses Lenses Manufacturer

This research focuses on a framework for making decisions when adopting collaborative robots (cobots) to collaborate with or replace human workers. Top management at a real-life case study firm that manufactures a variety of eyeglasses lenses wants to implement cobots in the sorting process since such a repetitive task has been shown to have a significant negative influence on workers' ergonomic ailments. Its current procurement decision-making process focuses solely on financial perspectives without taking into account any other significant criteria. Therefore, the purpose of this study is to investigate the elements that are crucial in deciding whether to use cobots in manufacturing lines., Multivariate statistical methods, comprising the exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), are applied to analyse the elements that are associated with the latent variables such as safety, ergonomics, productivity, quality, system, internal organisation and external organisation. In addition, alternative deployments of cobots in the case study are validated through the ARENA simulation software. More specifically, the results showed that using cobots in the workplace might boost output while lowering WIP, waiting times, the number of tasks in queue, and the workforce. In addition, cobots may reduce employee ergonomic risk and enhance workplace safety

Design and Validation of Affective Warning Pictorial on Cigarette Labels

The purpose of present study were to design and validate affective warning pictorials for cigarette label in Thailand. Brainstorming and survey techniques were used to collect the idea of possible warning pictorials. All ideas were grouped for finding candidated pictorials. Then, primary sixty warning pictorials were collected and equally classified into three affective warning pictorial groups as positive, neutral, and negative. Sixty Thai male engineering students participated in affective validation of warning pictorials using SAM rating. The International Affective Picture System (IAPS) was used to manipulate the affective state of participants to neutral affective state before the experiments. The results revealed that all affective warning pictorials were successfully evoked target affective states on participants. After refining, thirty affective warning pictorials were provided as positive, neutral, and negative affective warning pictorials for using on cigarette labels. Implications on the affective warning pictorials design and validation