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Workload contribution calculation approaches in the existing literature overestimate or underestimate indirect workload, which increases both workload fluctuation and shop floor throughput performance. This study optimizes a Corrected Aggregate Workload (CAW) approach to control the workload contribution of workstations and Work In Progress (WIP) levels, thereby improving the shop floor throughput performance.

This study adopts simulation experiment by SimPy, and experimental factors are: (1) two workload contribution methods (CAW method and considering Position Corrected Aggregate Workload [PCAW] method); (2) two release methods (LUMS COR release and immediate release); (3) eleven workload norms for LUMS COR release (from 7- to 15-time units), and infinite workload norm for immediate release; and (4) two dispatching rules (First Come First Served, FCFS and Operation Due Date, ODD). Each scenario is replicated 100 times, and for each replication data are collected for 10,000 time units, being the warm-up period set to 3,000-time units.

The results of this study confirm that the PCAW calculation method outperforms the CAW method, especially during higher workload norm levels. The PCAW method is considered the better solution in practice due to its excellent performance in terms of percentage tardiness and mean tardiness time. The efficient workload contribution approach, as discussed in this study, has the potential to offset delivery performance loss that results from throughput performance loss.

This study proposes a novel approach that considers the workstations’ position in the routing of the job and the position of jobs CAW method. The results demonstrated that it allows shop floor throughput time to be short and feasible. It controls WIP by workload contribution of workstations, resulting in a lean shop floor. Therefore, workload contribution calculation is of particular significance for high-variety Make-To-Order (MTO) companies.

This study aims to minimize the transportation-related cost in distribution while utilizing a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach. An increased cost in distribution is a major problem for many companies due to the absence of efficient planning methods to overcome operational challenges in distinct distribution networks. The problem addressed in this study is to minimize the transportation-related cost in distribution while using a heterogeneous fixed fleet to deliver distinct demand at different geographical locations with a proper workload balancing approach which has not gained the adequate attention in the literature.

This study formulated the transportation problem as a vehicle routing problem with a heterogeneous fixed fleet and workload balancing, which is a combinatorial optimization problem of the NP-hard category. The model was solved using both the simulated annealing and a genetic algorithm (GA) adopting distinct local search operators. A greedy approach has been used in generating an initial solution for both algorithms. The paired t-test has been used in selecting the best algorithm. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet compositions of the heterogeneous fleet. Results were analyzed using analysis of variance (ANOVA) and Hsu’s MCB methods to identify the best scenario.

The solutions generated by both algorithms were subjected to the t-test, and the results revealed that the GA outperformed in solution quality in planning a heterogeneous fleet for distribution with load balancing. Through a number of scenarios, the baseline conditions of the problem were further tested investigating the alternative fleet utilization with different compositions of the heterogeneous fleet. Results were analyzed using ANOVA and Hsu’s MCB method and found that removing the lowest capacities trucks enhances the average vehicle utilization with reduced travel distance.

The developed model has considered both planning of heterogeneous fleet and the requirement of work load balancing which are very common industry needs, however, have not been addressed adequately either individually or collectively in the literature. The adopted solution methodologies to solve the NP-hard distribution problem consist of metaheuristics, statistical analysis and scenario analysis are another significant contribution. The planning of distribution operations not only addresses operational-level decision, through a scenario analysis, but also strategic-level decision has also been considered.

The planning of distribution operations not only addresses operational-level decisions, but also strategic-level decisions conducting a scenario analysis.

This study aims to propose an efficient dual-robot task collaboration strategy to address the issue of low work efficiency and inability to meet the production needs of a single robot during construction operations.

A hybrid task allocation method based on integer programming and auction algorithms, with the aim of achieving a balanced workload between two robots has been proposed. In addition, while ensuring reasonable workload allocation between the two robots, an improved dual ant colony algorithm was used to solve the dual traveling salesman problem, and the global path planning of the two robots was determined, resulting in an efficient and collision-free path for the dual robots to operate. Meanwhile, an improved fast Random tree rapidly-exploring random tree algorithm is introduced as a local obstacle avoidance strategy.

The proposed method combines randomization and iteration techniques to achieve an efficient task allocation strategy for two robots, ensuring the relative optimal global path of the two robots in cooperation and solving complex local obstacle avoidance problems.

This method is applied to the scene of steel bar tying in construction work, with the workload allocation and collaborative work between two robots as evaluation indicators. The experimental results show that this method can efficiently complete the steel bar banding operation, effectively reduce the interference between the two robots and minimize the interference of obstacles in the environment.

Railways are a well-known example of complex critical infrastructure, incorporating socio-technical systems with humans such as drivers, signallers, maintainers and passengers at the core. The technological evolution including interconnectedness and new ways of interaction lead to new security and safety risks that can be realised, both in terms of human error, and malicious and non-malicious behaviour. This study aims to identify the human factors (HF) and cyber-security risks relating to the role of signallers on the railways and explores strategies for the improvement of “Digital Resilience” – for the concept of a resilient railway.

Overall, 26 interviews were conducted with 21 participants from industry and academia.

The results showed that due to increased automation, both cyber-related threats and human error can impact signallers’ day-to-day operations – directly or indirectly (e.g. workload and safety-critical communications) – which could disrupt the railway services and potentially lead to safety-related catastrophic consequences. This study identifies cyber-related problems, including external threats; engineers not considering the human element in designs when specifying security controls; lack of security awareness among the rail industry; training gaps; organisational issues; and many unknown “unknowns”.

The authors discuss socio-technical principles through a hexagonal socio-technical framework and training needs analysis to mitigate against cyber-security issues and identify the predictive training needs of the signallers. This is supported by a systematic approach which considers both, safety and security factors, rather than waiting to learn from a cyber-attack retrospectively.

This study aims to explain how negative workplace interactions are formed by the application of a performance management system (PMS).

The study draws from unique in-depth interviews with service workers who resigned from an accounting shared service centre (SSC), discussing the reasons behind the resignations. Following an abductive approach, organisational justice theory is used to analyse the service workers' perceptions of negative interactions and to link the negative interactions to the use of the PMS.

The findings suggest that negative workplace interactions are characterised by cost consciousness, inequality and competitiveness. These interactions are attributed to the use of a PMS in the centre and are related to perceptions of distributive, procedural and interactional injustice.

Managers and leaders of shared service–type organisations should not rely on PMSs as an all-encompassing solution; instead, they should acknowledge the fairness of the use of PMSs. Moreover, HR professionals should choose and train employees to apply PMSs fairly. Fairness is important in work allocation, resourcing, monitoring, giving feedback, recognising good performance, promotion and interaction between peers.

This study contributes to the literature by taking an overall perspective on PMSs to analyse and explain the unintended negative consequences of a PMS in a highly scripted and monitored work environment that is usually considered appropriate for such a system's use. Through the analysis, the study highlights pitfalls in the use of a PMS and the importance of interactional injustice not only between but also within organisational levels.

This cross-sectional study had several objectives. This paper aims to study the direct effect of teleworking on interpersonal conflict, the mediating role that interpersonal conflict can play between teleworking and psychological well-being, the moderating role emotional intelligence (EI) can play between teleworking and interpersonal conflict and whether this moderation effect can, in turn, be associated with psychological well-being (moderated mediation effect).

Path analyses using Mplus software were performed on a sample of 264 employees from 19 small- and medium-sized organizations.

While teleworking was associated with lower interpersonal conflict, it was not associated with enhanced psychological well-being. Interestingly, workload seemed to be associated with higher interpersonal conflict, while decision authority and support garnered from one’s supervisor seemed to be associated with lower interpersonal conflict. Teleworking was indirectly associated with higher psychological well-being via interpersonal conflict. Finally, EI played a moderating role between teleworking and lower interpersonal conflict. This was, in turn, associated with higher psychological well-being.

EI is an essential skill to develop in the workplace.

A deepened understanding of the role played by EI at work could help organizations to provide positive work environments, both in person and online. This is especially relevant today, with the continued increase in teleworking practices and the resulting rapidly changing interpersonal relationships.

Translanguaging is a language-related pedagogy drawing upon all resources within a learner’s linguistic repertoire, in contrast to conventional monolingual pedagogy. Most research about translanguaging concerns English-language learning in primary schools and secondary schools and overlooks psychology subject matter, higher education and countries in southeast Asia. This article reports a small-scale practitioner enquiry into translanguaging on an English-medium undergraduate research methods course for psychology students in Vietnam and into the usefulness of the Multimodalities-Entextualization Cycle as a conceptual framework for integrating translanguaging into the course.

Data were collected through semi-structured interviews with students and reflective journaling by the teacher, and the data were analysed in a hybrid deductive-inductive thematic analysis.

The first theme about teaching and translanguaging consists of the following subthemes: (a) enhanced communication, (b) increased awareness of language use, (c) supported interaction in class and (d) time and workload issues. The second theme about learning and translanguaging is subdivided into the following subthemes: (a) a new approach to learning, (b) beneficial for learning, (c) developing confidence in learning in English and (d) enjoyment of translanguaging. The conceptual framework underpinning the study was useful for designing and implementing translanguaging activities for the course.

The study is limited to one course and a small group of students in Vietnam learning English as a second language. It addresses limited research on translanguaging in psychology courses, higher education, and southeast Asia.

The study makes a valuable contribution to the teaching profession by offering practical insights into the application, benefits, and drawbacks of translanguaging for psychology and research methods subject matter.

Moreover, the findings lay the groundwork for potential influences on education policy, aligning with broader societal impacts.

The study makes a valuable contribution to the literature by delving into a relatively unexplored domain.

Enterprise social networks (ESN) that enable faster communications and knowledge sharing at work are an integral part of many workplaces. Although the affordances potency and actualization constructs identify work context as important, few studies to date have teased out how the interactions between ESN’s affordances, users’ goals and the work context drive affordances actualization.

This research is a case study of a technology multinational that made the ESN Chatter mandatory for all internal communications. We conducted a thematic analysis of 40 h of non-participatory observation, 15 in-depth interviews and eight informal conversations with employees.

There was considerable variation in how employees across different functional roles perceived affordances’ potencies, leading to differences in the nature and intensity of actualization: while sales and project managers embraced Chatter, technical support participants mostly resisted it; visibility was the central affordance for sales and human resources, but persistence was more important for project managers and association for technical support and billing. An organizational culture of accountability, urgency and efficiency interacted with Chatter’s affordances in a mutually reinforcing way, strengthening accountability and accelerating processes. Collaboration was enhanced but in a mostly coercive way. While sales participants' motivation was boosted, the mandated use of Chatter rendered tasks not inputted in Chatter invisible and created antagonism between departments.

Practitioners should not underestimate the influence of different work contexts and employees' goals when implementing an ESN. Since employees are concerned with managing their workload and how others perceive them, they may resist ESNs that they perceive as creating additional work and they may attempt to manage impressions at the expense of the work climate. Organizations looking to implement an ESN as their main communication tool would greatly benefit from establishing training programs and clear guidelines on positive communication practices across functional roles such as sales and technical support, and between peers.

Our study is one of the first to shed light on the role of the work context, i.e. functional role and organizational culture, in explaining the intensity and specificity of affordance actualization across an organization.

About 70% of all aircraft accidents are caused by human–machine interaction, thus identifying and quantifying performance shaping factors is a significant challenge in the study of human reliability. An information flow field model of human–machine interaction is put forward to help better pinpoint the factors influencing performance and to make up for the lack of a model of information flow and feedback processes in the aircraft cockpit. To enhance the efficacy of the human–machine interaction, this paper aims to examine the important coupling factors in the system using the findings of the simulation.

The performance-shaping factors were retrieved from the model, which was created to thoroughly describe the information flow. The coupling degree between the performance shaping factors was calculated, and simulation and sensitivity analysis are based on system dynamics.

The results show that the efficacy of human–computer interaction is significantly influenced by individual important factors and coupling factors. To decrease the frequency of accidents after seven hours, attention should be paid to these factors.

The novelty of this work lies in proposing a theoretical model of cockpit information flow and using system dynamics to analyse the effect of the factors in the human–machine loop on human–machine efficacy.

The broad aim of this paper is to use Noddings' theory of ethical care to analyse mentors' caring experiences. More specifically, it aims to analyse how physical education (PE) mentors provide care, how they are cared for and how this impacts their role within the context of secondary PE initial teacher training (ITT).

Semi-structured interviews were used to generate data from 17 secondary PE mentors within the same university ITT partnership in the north-west of England. Questions focused on the mentors' experiences of care and the impact this had on their wellbeing and professional practice. A process of thematic analysis was used to identify, analyse and report patterns in the data.

The participants reflected established definitions of mentoring by prioritising the aim of developing the associate teachers' (ATs) teaching rather than explicitly providing support for their wellbeing. This aim could be challenging for mentors who face personal and professional difficulties while supporting the training of an AT. Mentors frequently referred to the support of their departmental colleagues in overcoming these difficulties and the importance of developing interdependent caring relationships. Receiving care did not impede mentors from providing support for others; it heightened awareness and increased their desire to develop caring habits.

Teacher wellbeing has drawn greater attention in recent years and is increasingly prioritised in public policy. These findings highlight the value of mentor wellbeing and how caring professional relationships can mitigate the pressures associated with performativity and managing a demanding workload.