Search results

This study aims to find work concepts and mesoergonomic stages that are not well known and are not widely used in solving problems related to ergonomics using macro and micro ergonomics.

The study used a questionnaire distributed to several ergonomists who were able to provide opinions on meso ergonomics, especially in determining what aspects affected meso ergonomics so that the meso stages could be determined.

The results of data collection show that aspects that affect meso ergonomics are closely related to macro and micro ergonomics, aspects that are found to have similarities between the three because meso ergonomics is between them.

Determine the stages of meso ergonomics and clarify the limits of meso ergonomics using a questionnaire distributed to several respondents who understand ergonomics.

This paper can be applied to organizations that have a tiered organizational structure so that departments in the organization are divided into several parts to be observed and related to each other in carrying out organizational functions.

Provides convenience for researchers in observing organizations with the presence of mesoergonomics which is a bridge between macro and micro ergonomics.

The stages of meso ergonomics are arranged based on aspects and meso ergonomics variables that have been obtained from previous studies which now have added some considerations in the preparation of mesoergonomic stages such as the macroergonomic analysis design on macro ergonomics.

The set of 2,509 documents related to the human-centric aspect of manufacturing were retrieved from Scopus database and systmatically analyzed. Using an unsupervised machine learning approach based on Latent Dirichlet Allocation we were able to identify latent topics related to human-centric aspect of Industry 5.0.

This study aims to create a scientific map of the human-centric aspect of manufacturing and thus provide a systematic framework for further research development of Industry 5.0.

In this study a 140 unique research topics were identified, 19 of which had sufficient research impact and research interest so that we could mark them as the most significant. In addition to the most significant topics, this study contains a detailed analysis of their development and points out their connections.

Industry 5.0 has three pillars – human-centric, sustainable, and resilient. The sustainable and resilient aspect of manufacturing has been the subject of many studies in the past. The human-centric aspect of such a systematic description and deep analysis of latent topics is currently just passing through.

Achieving reliable instrument reprocessing requires finding the right balance among cost, productivity, and safety. However, there have been few attempts to comprehensively examine sterile processing department (SPD) work systems. We considered an SPD as an example of a socio-technical system – where people, tools, technologies, the work environment, and the organization mutually interact – and applied work systems analysis (WSA) to provide a framework for future intervention and improvement.

The study was conducted at two SPD facilities at a 700-bed academic medical center servicing 56 onsite clinics, 31 operating rooms (ORs), and nine ambulatory centers. Process maps, task analyses, abstraction hierarchies, and variance matrices were developed through direct observations of reprocessing work and staff interviews and iteratively refined based on feedback from an expert group composed of eight staff from SPD, infection control, performance improvement, quality and safety, and perioperative services. Performance sampling conducted focused on specific challenges observed, interruptions during case cart preparation, and analysis of tray defect data from administrative databases.

Across five main sterilization tasks (prepare load, perform double-checks, run sterilizers, place trays in cooling, and test the biological indicator), variance analysis identified 16 failures created by 21 performance shaping factors (PSFs), leading to nine different outcome variations. Case cart preparation involved three main tasks: storing trays, picking cases, and prioritizing trays. Variance analysis for case cart preparation identified 11 different failures, 16 different PSFs, and seven different outcomes. Approximately 1% of cases had a tray with a sterilization or case cart preparation defect and 13.5 interruptions per hour were noted during case cart preparation.

While highly dependent upon the individual skills of the sterile processing technicians, making the sterilization process less complex and more visible, managing interruptions during case cart preparation, improving communication with the OR, and improving workspace and technology design could enhance performance in instrument reprocessing.

To investigate safety at truck drivers' work outside the cab with a special focus on work environment and equipment maintenance to prevent occupational accidents.

Two statistical databases on Finnish occupational accidents for truck drivers are analysed. Firstly, the national accident statistics database is examined to understand the broad context, and secondly a database on fatal accidents is analysed to better understand the root causes of the accidents and their relationship to human factors in maintenance. Based on the root cause analysis, four accident scenarios are created, and risk management measures are prioritized by occupational safety and health specialists (n = 7).

The study shows that there are a variety of accidents in truck drivers' work. Most of the accidents occur outside the cab while performing tasks other than driving. Further, in-depth analysis of the fatal accidents increases understanding of the possibilities of different risk management and maintenance actions in preventing such accidents.

Databases contain different limitations concerning the data.

Truck drivers' work environments are wide in nature. Efficient safety management requires broad participation from different stakeholders. In addition to safe work activities, work environment and equipment maintenance is highlighted as a key component for safe and fluent delivery transportation.

Road transportation forms a backbone of modern society. Accidents affect the efficiency of transportation and cause manifold costs reaching all the way to the societal level.

This study adds an important dimension of delivery transportation to a current scientific discussion on human factors and maintenance.

This paper sets out to present a reappraisal on advanced planning and scheduling (APS) systems in industrial settings and propose an effective approach for APS implementation.

A case study approach is adopted, and a research framework comprising human‐, technological‐, and organizational‐dimensions is developed to analyze the evidence database which includes business flows, system design documents, archival records, post‐system assessment, participant‐observation and semi‐structured interviews.

The findings indicate that real‐world production planning problems are ill‐defined, complex and dynamic. A post‐implementation evaluation reveals major pitfalls in the technology‐dominant approach, whose negative ramifications are usually overlooked. Besides, these APS implementation pitfalls are found to be attributable to the real‐world context, human factors and organizational aspects.

Despite advances in information technology (IT) and computer modeling techniques, humans still play critical roles in the production‐planning processes – especially in a complex and dynamic manufacturing environment where incomplete, ambiguous, inconsistent and untimely data make automatic planning unrealistic. A rational human‐computer collaboration scheme under an effective organizational structure would be in a better position to take advantage of the IT.

This paper presents a humans‐technology‐organization‐framework of real planning systems, which is employed to analyze a case of APS implementation. Practical insights are extracted as a result of this field research, and a realist approach is proposed to cope with the problems and pitfalls of APS implementation in industrial settings.

This paper aims to present a model that maps the relationship between factors and process stages of the knowledge transfer (KT) between new product development (NPD) teams.

The model was constructed through a quantitative evaluation with scholars and practitioners of the NPD field. To evaluate the model and its usefulness, a practical application was carried out in two large Brazilian companies.

A relationship model between 16 main influence factors and 11 stages of the KT process was obtained. It could be seen through the practical applications that the model helps companies to identify and prioritize improvement opportunities in the KT between NPD teams.

Prior studies had been concerned with the analysis of KT factors, but considering KT as an isolated act. So, this work has advanced in the deployment of the KT stages and the relationship of those with different influence factors.

This paper brings an important practical contribution, once several academic works have been concerned with to demonstrate relationships among factors, but few have shown how these results could help to solve practical issues observed in companies.

Results presented in this paper enable the extension of comprehension about the KT phenomena in the NPD process. Furthermore, this paper shows how the proposed model can be used as a decision tool to guide a diagnosis and detect improvement opportunities in KT between NPD teams.

The relationship between robots and spirituality in the workplace is an interesting and evolving area of research that could provide important insights into the role of technology in promoting human well-being and personal growth. Robots are becoming increasingly common in the workplace and their functions in the business world are increasing. The use of robots in the workplace can affect people's spiritual values. Spiritual values such as being successful in their work, providing a sense of purpose and satisfaction, and feeling valued and important are important. The use of robots in the workplace may cause some people to take over many of the tasks that their jobs once did. In this case, employees may feel that their work no longer makes sense and may experience a loss of motivation. The fact that robots don't need the skills and experience of humans can make people feel inadequate in their jobs. However, the use of robots in the workplace can also support people's spiritual values. When robots work with humans, they have responsibilities such as interacting with them, showing empathy, respecting coworkers, and treating humans appropriately. This is important for people's mental and emotional health in the workplace. This approach will help people in the workplace work successfully and happily with robots. The use of robots in the workplace raises moral and ethical questions. In this section, research on the production of artificial intelligence-equipped robots and other intelligent technological machines and their use in organizations is evaluated within the framework of spirituality.

This chapter asserts that, notwithstanding the forces of globalization, the gap between Industrially Advanced Country (IAC) “haves” and Industrially Developing Country (IDC) “have nots” is increasing. Poverty, deprivation, over-population, illiteracy, and sub-optimal working conditions attend this scenario. This widening chasm, among other things, feeds discontent which, justified or not, exacerbates tensions. To the extent that this view is valid, the challenge for ergonomics is to contribute to a narrowing of the gap by recognizing that the vast majority of the biomass of humanity is engaged in basic IDC, not advanced technical IAC issues. Their needs are best met by culture-compatible, participatory, small-scale, unsophisticated, low-cost improvements that can be easily assimilated. Strategies for assisting in redressing the imbalance between IDCs and IACs are discussed.

Only recently has physical space design become more widely recognized as playing a critical role in delivery of care, with an emerging body of literature on the application of human factors approaches to design and evaluation. This chapter describes the use of human factors approaches to develop and conduct an evaluation of a proposed Neonatal Intensive Care Unit redesign in a Midwestern children’s hospital. Methods included observations and knowledge elicitation from stakeholders to characterize their goals, challenges, and needs. This characterization is integral to informing the design of user-centered solutions, including physical space design. We also describe an approach to evaluating the proposed design that yielded actionable recommendations specific to hospital-driven design goals.

Constraints on human-machine systems’ performance are generally treated as due to anatomy, physiology, and cognitive or behavioral limits. It is assumed that research findings can be universally applied to the design of such systems. It is now clear that social and cultural constraints are equally important, even in simple work systems. Context and culture are at least as important as limits of cognitive ability, and in many situations social and cultural factors are the dominant constraints on performance. This is particularly true in the cross-cultural transfer of advanced technological systems. A particularly clear example is given by population stereotypes of stimulus-response relations.