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In this study, we evaluate the transition from Industry 4.0 (I4.0) to Industry 5.0 (I5.0) using a multicriteria approach that integrates the Analytic Hierarchy Process (AHP) and Fuzzy Inference Systems (FISs). Key criteria identified through a comprehensive literature review include sustainability, human factors, resilience and organizational management, which are critical for the successful implementation of I5.0. AHP is utilized to rank these criteria and assign relative weights, reflecting their importance in the overall evaluation. FIS is employed to manage the inherent uncertainty and imprecision in decision-making within the context of I5.0. The results provide a holistic view of how companies navigate this transition, highlighting their strengths and weaknesses. This study offers valuable insights into the challenges and opportunities associated with adopting I5.0, emphasizing the utility of combining multicriteria approaches for strategic decision-making in dynamic industrial environments. These findings aim to support organizations in making informed decisions, fostering a more innovative, sustainable and human-centric industry. The combination of these methodologies provides a robust foundation for future research and practical applications in advancing I5.0.

Several companies use amount of deliveries as a metric for performance evaluation of developers. However, the productivity of a developer and his importance for the company is not only related to the amount of produced lines of code. There are a variety of factors that can contribute to the relevance of developers for their teams. This paper aims at mapping some of these factors, measuring those that are more important for companies and propose an evaluation model of developer importance that considers more than just deliveries. We have found that some factors are more important than others and that there are minor differences for different companies. We have also developed a high accuracy classifier that can indicate the importance of the developer based on a set of attributes.

The software engineering and human factors communities are seeking ways to integrate their methodologies. This paper outlines an amplified, software engineering methodology that extends beyond requirements gathering to encompass human factors analyses. The methodology employs an object model that is uniform throughout the software project. It involves a procedure that seamlessly transforms a task action grammar model, from HCI theory, directly into a specification model based on user/machine dialog and, thence, into a software design model. The model's object-oriented structure makes it feasible to trace the effects of the user's needs throughout the amplified project life cycle to the final code. A case study documents evidence concerning how effectively the procedure supports the software engineering process. An examination of the extent of metamorphosis the model undergoes in the case study indicates that the transition through the amplified life history is well controlled; in particular, the transition from the software specification to the design model is more controlled than that under traditional methodologies.

This paper through a systematic view considers the subject of Airplane — Flight crew system, as an intricate system of Man and Machine. And we study its Reliability on Flight Safety with an emphasis on Human factor. Aiming at the above goals.

As we define the constituents of the system from a Socio-Technical perspective, introduce main factors involved in brining about Human errors in such a system. Finally we discuss the methods and procedures for the reduction of these errors which leads eventually to the promotion of Human reliability and consequently the Flight Safety.

Optimizing order-picking systems (OPSs) while considering human factors and integrating key decisions is a major challenge for warehouse managers. This study presents a two-stage framework based on multi-attribute decision-making (MADM) and multi-objective decision-making (MODM) models to integrate decisions on picker selection, order batching, batch assignment, picker routing, and scheduling. In the first stage, the human factors affecting picker selection are considered as the problem’s criteria and the available pickers are treated as alternatives. The fuzzy entropy method and fuzzy COmplex PRoportional ASsessment (COPRAS) are used to weight the factors and rank the pickers, respectively. In the second stage, a three-objective mathematical model is formulated to minimize makespan and the operating costs of picking while maximizing the total scores of the selected pickers. The improved augmented epsilon constraint method (AUGMECON2) and the non-dominated sorting genetic algorithm II (NSGA-II) are applied to solve the proposed model. The performance of the two methods is tested on well-known benchmark instances and a real-world case study. The NSGA-II algorithm can generate optimal results using only about 6.58% of the CPU time required by AUGMECON2 to solve the problem. Our computational experiments show that increasing the number of pickers from 2 to 8 and doubling their capacity reduces the makespan by 2.61% and 2.74%, respectively.

Many organisations are confronted with challenges in getting employees to effectively participate in information and knowledge sharing (IKS). Further, IKS is embedded in multifaceted social contexts, which are influenced by several different social and cognitive factors. This study is in support of the hypothesis that perceived trustworthiness is widely implicated as a mediating factor between those social–cognitive factors and IKS. Previous work, however, uncovered only a handful of such mediating effects. It is argued here that the paucity may have been due to limitations of the statistical methods. This study employs PROCESS, a more powerful current method for mediation analysis in an attempt to uncover previously hidden relationships. Analyses were performed on data collected from 275 knowledge workers (legal professionals and paralegals) engaged in shared legal project work, at one of Canada’s largest multijurisdictional law firms. Social–cognitive factors that were considered were shared language, shared vision, tie strength, age/gender/educational homophily and relationship length. IKS outcomes were willingness to share, willingness to use and perceived receipt of useful information/knowledge. Consistent with the hypothesis, the more powerful method revealed a large number of significant mediating effects of perceived trustworthiness. Out of possible 112 simple mediation models, 62 were significant, 44 of which had been previously undiscovered. The results highlight the importance of trust as well as the power of current methods for mediation analysis and serve as a strong argument for their use. The paper concludes with implications for research and practice.

When fly-by-wire controls first appeared, much research focused on how to evaluate control laws and bare airframes for airworthiness given the reliance on electronic augmentation. Similarly, handling qualities and methods of evaluation for novel flying vehicles have been discussed whenever novel designs are developed. In the last 20 years, with the proliferation of unmanned aircraft systems (UAS), much research has focused on transferring existing methods of performance evaluation and airworthiness assessment to accommodate the unique feature of many UAS. However, the changes in sensory information and pilot experience levels require examining the aircraft and pilots together in a holistic manner. In this work, the authors present the results of a broad study focused on evaluation of both pilot skill and aircraft performance in a holistic way.

In this study, the skill of the remote pilot is considered as well as the effectiveness of the electronic flight control system because the evaluation is conducted on the system at-large as opposed to considering each piece individually. An evaluation approach using mission-task-elements (MTEs), like that used within Aeronautical Design Standard-33 Handling Qualities Requirements for Military Rotorcraft (ADS-33), is developed and presented for UAS. In the study, new UAS pilots were evaluated before, during, and after an intensive training program using qualitative measures (like Cooper–Harper rating) and quantitative measurements (like elapsed time) of their performance while flying the prescribed MTEs. The techniques described can provide insight into pilot performance, airframe airworthiness, and effectiveness of stability systems in an efficient test program and the results are inherently easy to understand in the context of MTEs.

Bimanual coordination plays a vital role in many haptic and robotic system operations. However, theories in bimanual human motor control are rarely integrated into the control system for human-in-the-loop robots, potentially limiting the usability and collaborative potential between the human and robot, particularly for complex tasks such as robotic surgery. To inform future integration, we investigate unknown manual performance relationships regarding the scaling (the size of one hand’s motions compared to the other) and sequence (the order in which the hands move) of complex bimanual path following tasks. For scaling variations, either the left or right hand desired trajectory amplitude was increased. For sequence, the task was split so that the hands moved sequentially or simultaneously. The experiment is performed by 11 inexperienced, able bodied subjects (all right-handed) in a virtual environment while using haptic devices. Results show significant ($p<0.05$) decreased manual performance for one hand when the opposite hand is scaled, thus suggesting an increase in the scale of one hand will decrease the performance of the contralateral. Results also show a significant decrease in performance for the left hand when moving simultaneous with the right, but the right hand does not show such a decrease in performance. This might suggest that only the nondominant hand suffers from simultaneous motion conditions. These results may lead to unique opportunities to integrate theories related to human motor control into the control system for haptic and robotic systems used in complex bimanual upper-limb tasks.

Landslides represent one of the most destructive natural hazards and a major threat in most hillside development. Over the years, there are little or no concerns on the importance of human factors to be considered as one of the major causes of landslide. Human Reliability Analysis (HRA) which in turn has been applied for quite sometimes in other industry sector to assess the human factors contributing to a risk and identifying proper mitigation measures to reduce the risk can be proposed to adopt into the geotechnical risk assessment. The needs to focus on the aspect of human factors in geotechnical engineering is inevitably due to the facts that human interaction interrelated at all stages from planning to design, and construction to maintenance stages. This paper will review the current state of landslide, human factors and its influence in Malaysia, introduction of HRA and discusses on the second generation HRA method known as CREAM.