The work compatibility improvement framework: preliminary findings of a case study for defining and measuring the human-at-work system

Although researchers traditionally examined the 'risk' characteristics of work settings in health studies, few work models, such as the 'demand-control' and 'motivation-hygiene theory', advocated the study of the positive and the negative aspects of work for the ultimate improvement of work performance. The objectives of the current study were: (a) to examine the positive and negative characteristics of work in the machining department in a small manufacturing plant in the Midwest USA, and, (b) to report the prevalence of musculoskeletal and stress outcomes. A focus group consisting of worker experts from the different job categories in the machining department confirmed the management's concerns. Accordingly, 56 male and female workers, employed in three shifts, were surveyed on the demand/energizer profiles of work characteristics and self-reported musculoskeletal/stress symptoms. On average, one-fourth to one-third of the workers reported 'high' demand, and over 50% of the workers documented 'low' energizers for certain work domains/sub-domains, such as 'physical task content'/'organizational' work domains and 'upper body postural loading'/'time organization' work sub-domains. The prevalence of workers who reported 'high' musculoskeletal/stress disorder cases, was in the range of 25-35% and was consistent with the results of 'high' demands and 'low' energizers. The results of this case study confirm the importance of adopting a comprehensive view for work improvement and sustainable growth opportunities. It is paramount to consider the negative and positive aspects of work characteristics to ensure optimum organizational performance. The Work Compatibility Improvement Framework, proposed in the reported research, is an important endeavor toward the ultimate improvement and sustainable growth of human and organizational performance.     

The work compatibility improvement framework: an assessment of the worker–work environment interaction in the manufacturing sector

The manufacturing sector in the US is challenged by high health care costs and shortage of qualified workers, which are largely attributed to the degree of fit between the worker and work environment. In this regard, a healthy worker–work environment interface is a necessary and sufficient condition for the containment of health care costs and the retaining/attraction of highly qualified knowledge workers and should be based on the principles of optimum physical, cognitive and emotional health for the workers. In prior research, the Work Compatibility Improvement Framework (WCIF) was introduced as a vehicle to address these issues and was defined as the identification, improvement and maintenance of the well-being characteristics of the workforce and its interaction with the work environment through the application of engineering, medicine, management and human sciences methodologies, technologies and best practices. This paper advances WCIF by examining its applications in manufacturing with regard to the evaluation of working conditions impacting musculoskeletal/stress outcome measures. A study was conducted in a machining department of a bag packaging manufacturer in the Midwest of the United States. The work tasks were planned and executed with regard to the following aims: (1) to compute work compatibility as a function of work demands and energisers; (2) to establish whether the prevalence of musculoskeletal/stress disorders increases with a decrease in the quality of worker–work environment interface in terms of work compatibility level and other work factors such as shift and job category. A major finding is that a ‘poor’ work environment (a function of all work domains) results in musculoskeletal/stress disorders that are 105% and 67% higher than those for a ‘good’ work environment. The evening shift exhibited the poorest compatibility followed by the night shift relative to the day shift. Application of the work compatibility approach demonstrated the detection of non-added value work. It is essential to evaluate the various domains of worker–work environment interface to uncover the root causes that tend to sub-optimise the physical/cognitive/emotional health of the workforce. The WCIF was used to uncover the non-value added effort in the work process. These findings will have major implications for developing and implementing customised design interventions with the aim to maximise the benefit and reduce the cost of employees in a manufacturing enterprise. The study findings suggest that the WCIF should be pursued as a potential strategic tool for optimising human performance in an enterprise to create healthy workplaces.     

The Work Compatibility Improvement Framework: an integrated perspective of the human-at-work system

The industrial revolution demonstrated the limitations of a pure mechanistic approach towards work design. Human work is now seen as a complex entity that involves different scientific branches and blurs the line between mental and physical activities. Job design has been a traditional concern of applied psychology, which has provided insight into the interaction between the individual and the work environment. The goal of this paper is to introduce the human-at-work system as a holistic approach to organizational design. It postulates that the well-being of workers and work outcomes are issues that need to be addressed jointly, moving beyond traditional concepts of job satisfaction and work stress. The work compatibility model (WCM) is introduced as an engineering approach that seeks to integrate previous constructs of job and organizational design. The WCM seeks a balance between energy expenditure and replenishment. The implementation of the WCM in industrial settings is described within the context of the Work Compatibility Improvement Framework. A sample review of six models (motivation-hygiene theory; job characteristics theory; person-environment fit; demand-control model; and balance theory) provides the foundation for the interaction between the individual and the work environment. A review of three workload assessment methods (position analysis questionnaire, job task analysis and NASA task load index) gives an example of the foundation for the taxonomy of work environment domains. Previous models have sought to identify a balance state for the human-at-work system. They differentiated between the objective and subjective effects of the environment and the worker. An imbalance between the person and the environment has been proven to increase health risks. The WCM works with a taxonomy of 12 work domains classified in terms of the direct (acting) or indirect (experienced) effect on the worker. In terms of measurement, two quantitative methods are proposed to measure the state of the system. The first method introduced by Abdallah et al. (2004) identifies operating zones. The second method introduced by Salem et al. (2006) identifies the distribution of the work elements on the x/y coordinate plane. While previous efforts have identified some relevant elements of the systems, they failed to provide a holistic, quantitative approach combining organizational and human factors into a common framework. It is postulated that improving the well-being of workers will simultaneously improve organizational outcomes. The WCM moves beyond previous models by providing a hierarchical structure of work domains and a combination of methods to diagnose any organizational setting. The WCM is an attempt to achieve organizational excellence in human resource management, moving beyond job design to an integrated improvement strategy. A joint approach to organizational and job design will not only result in decreased prevalence of health risks, but in enhanced organizational effectiveness as well. The implementation of the WCM, that is, the Work Compatibility Improvement Framework, provides the basis for integrating different elements of the work environment into a single reliable construct. An improvement framework is essential to ensure that the measures of the WCM result in a system that is adaptive and self-regulated.     

The work compatibility improvement framework: an assessment of the worker-work environment interaction in the manufacturing sector

The manufacturing sector in the US is challenged by high health care costs and shortage of qualified workers, which are largely attributed to the degree of fit between the worker and work environment. In this regard, a healthy worker-work environment interface is a necessary and sufficient condition for the containment of health care costs and the retaining/attraction of highly qualified knowledge workers and should be based on the principles of optimum physical, cognitive and emotional health for the workers. In prior research, the Work Compatibility Improvement Framework (WCIF) was introduced as a vehicle to address these issues and was defined as the identification, improvement and maintenance of the well-being characteristics of the workforce and its interaction with the work environment through the application of engineering, medicine, management and human sciences methodologies, technologies and best practices. This paper advances WCIF by examining its applications in manufacturing with regard to the evaluation of working conditions impacting musculoskeletal/stress outcome measures. A study was conducted in a machining department of a bag packaging manufacturer in the Midwest of the United States. The work tasks were planned and executed with regard to the following aims: (1) to compute work compatibility as a function of work demands and energisers; (2) to establish whether the prevalence of musculoskeletal/stress disorders increases with a decrease in the quality of worker-work environment interface in terms of work compatibility level and other work factors such as shift and job category. A major finding is that a 'poor' work environment (a function of all work domains) results in musculoskeletal/stress disorders that are 105% and 67% higher than those for a 'good' work environment. The evening shift exhibited the poorest compatibility followed by the night shift relative to the day shift. Application of the work compatibility approach demonstrated the detection of non-added value work. It is essential to evaluate the various domains of worker-work environment interface to uncover the root causes that tend to sub-optimise the physical/cognitive/emotional health of the workforce. The WCIF was used to uncover the non-value added effort in the work process. These findings will have major implications for developing and implementing customised design interventions with the aim to maximise the benefit and reduce the cost of employees in a manufacturing enterprise. The study findings suggest that the WCIF should be pursued as a potential strategic tool for optimising human performance in an enterprise to create healthy workplaces.     

Criteria for the reintegration in the workforce of workers with musculoskeletal disorders of the upper limbs,based on preliminary practical experience

This paper presents a preliminary study on the return to the workforce of employees with WMSDs of the upper limbs, and their reallocation to jobs with ‘low exposure’. The study, which is still underway, involves a large engineering firm and includes some 100 workers affected by WMSDs. The trial involved: providing a definition of the criteria for characterizing ‘accommodating’ jobs (i.e. frequency of action < 20 actions/min; virtual absence of other risk factors such as force, awkward posture, inadequate pauses, etc.); effectively identifying jobs meeting such criteria (or jobs which, with minimal modifications, could be made suitable); classifying WMSD workers according to the type and severity of the disorder; matching WMSD workers with the jobs best suited to them; specific training for the workers and their supervisors; carrying out a follow-up of the return of WMSD workers to the workforce in organizational terms (i.e. the need for further modifications to equipment or procedures) and clinical terms (i.e. symptom patterns, acceptability of the condition). The preliminary results, 6–12 months after the start of the trial, are extremely encouraging, and show that when workers return to the workforce in jobs that fully meet defined criteria, a significant prevalence of ‘improvements’ are reported among the workers involved. The investigation will need to be extended but it already shows quite convincingly that it is possible for workers with what can be described as a ‘reduced working capacity’ to remain ‘productive’ (albeit in jobs featuring a lower exposure potential than the acceptable threshold for ‘healthy’ workers).     

Selection of negative samples and two-stage combination of multiple features for action detection in thousands of videos

In this paper, a system is presented that can detect 48 human actions in realistic videos, ranging from simple actions such as ‘walk’ to complex actions such as ‘exchange’. We propose a method that gives a major contribution in performance. The reason for this major improvement is related to a different approach on three themes: sample selection, two-stage classification, and the combination of multiple features. First, we show that the sampling can be improved by smart selection of the negatives. Second, we show that exploiting all 48 actions’ posteriors by two-stage classification greatly improves its detection. Third, we show how low-level motion and high-level object features should be combined. These three yield a performance improvement of a factor 2.37 for human action detection in the visint.org test set of 1,294 realistic videos. In addition, we demonstrate that selective sampling and the two-stage setup improve on standard bag-of-feature methods on the UT-interaction dataset, and our method outperforms state-of-the-art for the IXMAS dataset.     

Psychophysical Demands and Perceived Workload—An Ergonomics Standpoint for Lean Production in Assembly Cells

The adoption of a lean production model means a systematic implementation of various management methods and practices. Such a model presents the human element as a key factor in continuous improvement efforts, influencing workers’ job content and the quality of work. However, there are few evidences regarding research on quantitative assessment of the work demand, either psychological or physical, in a lean production environment. Therefore, this study aims to analyze from an ergonomics perspective the psychophysical demand and workers’ perceived workload within assembly cells undergoing a lean production implementation. The proposed method integrates complementary concepts of widely known techniques, enabling the consolidation of several assessment criteria into one particular index for both psychological and physical demands. Such a diagnostic method is illustrated in a case study from the automotive parts manufacturing sector, whose application is performed in three critical assembly cells selected by senior management. Our findings show systemic gaps between work demand and employees’ profile, indicating improvement opportunities in order to provide a better work environment.     

Dynamic simulation of action at operations level

The attempt of using lumped or agent-based simulation models to support operations management in production systems puts action modelling to the fore. To fill the gap of classical decision-support systems ignoring human agents’ practices, a modelling framework of action at operations level is proposed. This framework aims at answering two questions: How to represent action? How to represent the management of action? Every action (i.e., what is actually done by an agent) is represented by a binary function of time governed by events detected upon processes of various kinds: artefacts (clocks or schedules), external processes occurring in the environment, other actions. In turn, every action exerts its effect on target processes. This modelling framework allows one to simulate the interpretation of ongoing actions by using temporal or propositional logics and operations management behaviors through plan specification and execution, action composition, and resource allocation to concurrent actions. It enables complex activity systems to be represented and management options to be tested by simulation. These capacities are illustrated on the example of a farming system. The main benefits and issues raised by this dynamical system approach close to the ‘situated’ (vs. ‘planned’) action paradigm are discussed in the light of related works in Artificial intelligence. Future directions of research are drawn, namely that of how to scale up this lower-level representation of action to the higher-level representation of agents endowed with skills relevant at the level of the individual (e.g., anticipation).     

The Implementation of Best Practices: Process and Performance Effects

Much has been written about best practices and world class manufacturing in recent years. Various practices and improvement programmes have been suggested as best practices, assuming that their adoption would to lead to higher performance. The implementation process of these practices is, however, often neglected in the literature and, hence, relatively poorly understood. The purpose of this article is to provide insight into that process and how different implementation approaches influence performance. An analysis of the implementation of a range of manufacturing action programmes in two companies showed that a broad and incremental implementation approach initially leads to reduced performance followed by a gradual improvement as larger parts of the programmes are institutionalized. A ‘big bang’ implementation approach does not seem to lead to deterioration in performance.     

Cross-training in a cellular manufacturing environment

This study addresses the need for cross-training in a cellular manufacturing environment. It is demonstrated that an effective cross-training situation results if workers and machines are connected, directly or indirectly, by task assignment decisions. The connections between workers and machines (i.e. the qualifications of workers) form ‘chains’ that can be used to reallocate work from heavily loaded workers to less loaded workers. This provides the possibility of a balanced workload situation among workers, something that is desirable from a social as well as an economic viewpoint. Based on this insight, we have developed an integer programming (IP) model that can be used to select workers to be cross-trained for particular machines. The model may help in trade-offs between training costs and the workload balance among workers in a manufacturing cell. The workload balance indicates the usefulness of labor flexibility in a particular situation. A numerical example is presented to illustrate various elements and features of the model. It also provides further insight into the role of ‘chaining’ workers and machines. The industrial applicability of the model and directions for future research are also indicated.     

A methodology for systemic‐structural analysis and design of manual‐based manufacturing operations

The main objective of this study was to develop a method for systemic‐structural analysis and design of manufacturing assembly operations based on the activity theory. The “activity” was defined as behavior distinctively specific to workers, associated with mobilizations and realization of conscious manufacturing goals. The fundamental units of analysis of activity are actions that are both motor and mental. Activity is considered as a complicated structure of actions that are logically ordered in space and time. Each action is comprised of different operations. The building blocks of motor actions are motions. The building blocks of cognitive actions are mental operations. Activity integrates not merely cognitive and behavioral components, but the energy components as well. The proposed methodology is illustrated using an example of two manufacturing assembly operations. © 2001 John Wiley and Sons, Inc.     

Recognition of human actions using CNN-GWO: a novel modeling of CNN for enhancement of classification performance

Recognizing human actions from unconstrained videos turns to be a major challenging task in computer visualization approaches due to decreased accuracy in the feature classification performance. Therefore to improve the classification performance it is essential to minimize the ‘classification’ errors. Here, in this work, we propose a hybrid CNN-GWO approach for the recognition of human actions from the unconstrained videos. The weight initializations for the proposed deep Convolutional Neural Network (CNN) classifiers highly depend on the generated solutions of GWO (Grey Wolf Optimization) algorithm, which in turn minimizes the ‘classification’ errors. The action bank and local spatio-temporal features are generated for a video and fed into the ‘CNN’ classifiers. The ‘CNN’ classifiers are trained by a gradient descent algorithm to detect a ‘local minimum’ during the fitness computation of GWO ‘search agents’. The GWO algorithms ‘global search’ capability as well as the gradient descent algorithms ‘local search’ capabilities are subjected for the identification of a solution which is nearer to the global optimum. Finally, the classification performance can be further enhanced by fusing the classifiers evidences produced by the GWO algorithm. The proposed classification frameworks efficiency for the recognition of human actions is evaluated with the help of four achievable action recognition datasets namely HMDB51, UCF50, Olympic Sports and Virat Release 2.0. The experimental validation of our proposed approach shows better achievable results on the recognition of human actions with 99.9% recognition accuracy.     

Psychological evaluation and design of work tasks: two examples

Abstract

Practical experience with flexible production automation has provoked rising demands for human oriented job design. Prospective evaluation of work tasks based on status-quo analyses with the psychological instrument VERA, developed for the assessment of the available scope of action in fulfilling the task, has led to design proposals concerning technical and organizational aspects as well as questions of training and retraining. Procedure and results are shown by presenting two case studies dealing with a small flexible manufacturing system and a planned ‘production island’.     

Cross-industry standard test method developments: from manufacturing to wearable robots

Manufacturing robotics is moving towards human-robot collaboration with light duty robots being used side by side with workers. Similarly, exoskeletons that are both passive (spring and counterbalance forces) and active (motor forces) are worn by humans and used to move body parts. Exoskeletons are also called ‘wearable robots’ when they are actively controlled using a computer and integrated sensing. Safety standards now allow, through risk assessment, both manufacturing and wearable robots to be used. However, performance standards for both systems are still lacking. Ongoing research to develop standard test methods to assess the performance of manufacturing robots and emergency response robots can inspire similar test methods for exoskeletons. This paper describes recent research on performance standards for manufacturing robots as well as search and rescue robots. It also discusses how the performance of wearable robots could benefit from using the same test methods.     

The impact of interface-induced handling requirements on action generation in technical system control

Abstract

In analysing action generation in technical system control we differentiate between a purely cognitive stage of pre-actional decision-making and an action-related cognitive-physical stage of action planning and plan execution. This study investigates the impact of interface-induced handling requirements on the action-related processes in the domain of artificial respiration in intensive care. Thirty-two novice and experienced intensive care nurses had to solve three realistic control tasks on two types of respiration unit equipped either with an ‘analogue’ or with a ‘digital’ user interface. The quality of the novices’ plan execution and—unexpectedly— action planning, too, decreased when working on the ‘digital’ interface. Interface-induced handling requirements obviously have an important influence on the usability of technical systems not only on a purely cognitive level, but also on the action-related level.     

Designing in between Local Government and the Public – Using Institutional Analysis in Interventions on Civic Infrastructures

Adapting and changing the systems and technologies involved in civic engagement with local government is among the key challenges of collaborative technologies for political participation. In such contexts, both existing sets of technologies and ingrained, often formalised practices, the ‘rules of the game’, constrain any opportunity for intervention. Additionally, ‘civic’ and expert groups with conflicting agendas and divergent demands on public choices assert their influence in these transformation programmes. The article argues that established methods in collaborative systems design have thus far overlooked the role of recurring actions involved in public participation as well as the formal rules and ingrained practices that construct them. Yet, such patterns present a valuable resource for design interventions. Thus, based on an institutional approach, the article outlines a methodology for requirement gathering by mapping the relations of actors, software and their use along identifiable action situations. The method called for a dialogue between socio-technical-spatial contexts of public service and specific actions taking place within it. Drawing on a case of organising civic engagement in urban planning, the article discusses how to find and trace existing practices across social settings, information technologies and material contexts where engagements take place. The approach underscores the existing institutional contexts in inspiring, opening and constraining the opportunities to support ‘civics’.     

Retracted: The manufacturing enterprise diagnostic instrument: A tool for assessment of enterprise system manufacturers

Small‐ to medium‐size manufacturers constitute the bulk of the U.S. manufacturing sector and are in a dire need of a tool that will help them face the challenges of globalization and increasing costs of manufacturing in the United States. The objectives were to develop and validate a diagnostic tool for manufacturing firms to evaluate their enterprise system performance to eliminate trial‐and‐error decisions and allow quick and informed actions. A pilot version was developed and tested in a small manufacturer. A revised version was then developed and further tested in another firm. Testing of the tool's pilot version provided invaluable feedback for developing the main tool. When tested in a small manufacturing firm, the results demonstrated management's misalignment and identified the root causes hindering performance. The tool demonstrated a quick and effective way to evaluate the manufacturing system's performance and to develop an aligned improvement action plan to guide the managerial team in devising a winning business strategy. © 2007 Wiley Periodicals, Inc. Hum Factors Man 17: 521–574, 2007.     

Occupational health services for shift and night workers

It is important for an occupational health service to plan health supervision and measures for shift and night workers considering the biorhythmic and psychosocial desynchronisation, as well as the frequent prevalence of combined effects of adverse environmental and working conditions. The measures taken should be preventive to reduce the expected health risks rather than being rehabilitative. Both a medical surveillance and a counselling service are recommended before and during engagement in shift and night work. Sleep, digestive, metabolic and cardiovascular troubles should be noted and followed up. Medical counselling is especially necessary in the first months of shift and night work exposure and then after long-term exposure. The postulate for timed surveillance and intervention is supported by data of our epidemiologic investigations. The importance of the single health measures is underlined by direct reference to the relevant literature. Recommendations that should be applied in all countries and enterprises are in accordance with the ILO Night Work Convention 1990a and include: (1) appropriate occupational health services provided for night and shift workers, including counselling; (2) first aid facilities during all shift hours; (3) the option of transfer to day work when certified unfit for night work for reasons of health; and (4) measures for women on night shifts, in particular special maternity protection (transfer to day work, social security benefits or an extension of maternity leave). Examples of occupational health services already installed in some states for shift and night workers, and information on future developments are given. Up to now the medical service has been implemented mostly on the basis of collective agreements rather than on the basis of legal provisions. The Austrian Night Shift/Heavy Work Law Regulations of 1981, revised 1993, are cited: workers exposed to night shifts under defined single or combined additional heavy workloads are entitled to a special health assessment, additional rest pauses, additional free time and early retirement depending on years of exposure.     

An ergonomics action research demonstration: integrating human factors into assembly design processes

In action research (AR), the researcher participates ‘in’ the actions in an organisation, while simultaneously reflecting ‘on’ the actions to promote learning for both the organisation and the researchers. This paper demonstrates a longitudinal AR collaboration with an electronics manufacturing firm where the goal was to improve the organisation's ability to integrate human factors (HF) proactively into their design processes. During the three-year collaboration, all meetings, workshops, interviews and reflections were digitally recorded and qualitatively analysed to inform new ‘actions’. By the end of the collaboration, HF tools with targets and sign-off by the HF specialist were integrated into several stages of the design process, and engineers were held accountable for meeting the HF targets. We conclude that the AR approach combined with targeting multiple initiatives at different stages of the design process helped the organisation find ways to integrate HF into their processes in a sustainable way.

Practitioner Summary: Researchers acted as a catalyst to help integrate HF into the engineering design process in a sustainable way. This paper demonstrates how an AR approach can help achieve HF integration, the benefits of using a reflective stance and one method for reporting an AR study.     

Software process improvement at Hughes Aircraft

In 1987 and 1990, the Software Engineering Institute conducted process assessments of the Software Engineering Division (SED) of Hughes Aircraft in Fullerton, CA. The first assessment found the SED to be a level two organization, based on the SEI's process-maturity scale of one to five, where one is worst and five is best. The first assessment identified the strengths and weaknesses of the SED, and the SEI made recommendations for process improvement. Hughes then established and implemented an action plan in accordance with these recommendations. The second assessment found the SEP to be a strong level three organization. The authors outline the assessment method used, the findings and recommendations from the initial assessment, the actions taken by Hughes, the lessons learned, and the business and product consequences