Search results

This study tries to investigate and examine the extent of power dynamics of diverse actors in supply chains (SCs) in affecting the (un)stable connections within the logistics service providers (LSPs) triad in manufacturing firms (MFs) in Australia as a developed country.

This study adopted a qualitative research approach by conducting 28 face-to-face semi-structured interviews, which was performed over a five-month period, between May and October 2022 with the targeted respondents via several Case MFs studies focusing on the triadic SC relationships through the power dynamics of LSPs (e.g. Case 1/MF-A, Case 2/MF-B, Case 3/MF-C, Case 4/MF-D and Case 5/MF-E) in order to gather primary data from the perspectives of logistics service clients, providers and suppliers that are dealing with MFs in Australia country. Interviewees were selected based on their knowledge, professional, expertise and tasks that are related to the study context if they are from MFs and/or LSPs. The researchers performed NVivo 12 Software as a tool for analyzing the collected primary data from the targeted interviewees, thus using a purposive sampling approach. This study constitutes a cornerstone for a conceptual exploration of the field of B2B and as it expands existing fields of broadcasting and investigation that focus on B2C within the manufacturing firms' context.

The findings clearly show the importance of stable purchase volume and resource ability for a focal company in the logistics triad. This leads it to have a strong long-term relationship through monitoring its partners and curbing evolutions in different dyads.

Identifying influential factors offers complementary insights to practitioners for depicting the SC relationship dynamics using the dominant power used by logistics service providers. Such findings encourage investigating an issues in emerging countries.

The study provides an extending novel piece of work on how to establish the relational embeddedness of two dyads through the power dynamics of the dominant player represented by LSPs that can significantly affect the triadic SC relationships in manufacturing firms (MFs). Such a perspective seems not to be similar to the classical standpoint in the SCM literature, in which the LSPs as a dominant and dynamic power derived from bridging the customer-supplier sustainable dyads relationship in the MFs context.

Big 4 professional services firms increasingly lay claim to recruiting and including staff of diverse genders, cultures, ages and sexualities. Drawing on Foucauldian insights, this study explores how LGBTIQ+ staff navigated shifting technologies of client power, at the time marriage equality was legislated in Australia.

This article explores changing experiences of LGBTIQ+ staff and allies, through 56 semi-structured interviews undertaken through 2018–2019.

Technologies of client power were central to shaping workplace experiences for LGBTIQ+ staff. However, each firm was also keen to carve unique and bold responses to changing societal attitudes regarding sexuality and gender. These progressive moves did not sit comfortably with all clients, and so this article provides insight into the limitations of client privilege within professional services firms. For staff, this increasing complexity of sometimes opaque, contradictory and shifting technologies of client and firm power, enabled agency to explore a sense of self for some, but continued to exclude others.

Little attention has been directed to exploring challenges for staff of sexual and gendered diversity within professional services firms, or to exploring how staff navigate changing perceptions of client power.

The purpose of this paper is to explore the tension in brand management created through the rapid transformation of social media, mapping the maintenance of increasingly complex B2B relationship dynamics with key intermediaries.

In-depth interviews with 17 social media practitioners from leading fashion brands, agencies and platforms in the UK and Australia informed this study. Analysis used grounded theory, and results were interpreted through the lens of network and stakeholder theories.

Social media platforms have evolved into critical brand stakeholders, serving as gatekeepers in an increasingly unbalanced system between provider and marketer. The perpetuation of a hierarchical power dynamic affects the development of both practitioner and firm capabilities with negative implications and consequences for organisational control of branded social media communications. Three theoretical propositions are offered relating to the nature of platform hegemony, the notion of social media democratisation and the limiting impact of rapid change on the formation of relational ties.

This study extends the conceptualisation of communal custody of brands in social media settings to incorporate a growing number of commercial stakeholders, challenging the traditional dyadic consumer-brand relational paradigm. This study sheds new light on the impact of digital transformation on power distributions in social media communities not hitherto addressed.

To generate electricity, solar photovoltaic (PV) systems are among the best, most eco-friendly and most cost-effective solutions available. Extraction of maximum possible electricity from the solar PV system is complicated by a number of factors brought on by the ever-changing weather conditions under which it must operate. Many conventional and evolutionary algorithm-based maximum power point tracking (MPPT) techniques have the limitation of not being able to extract maximum power under partial shade and rapidly varying irradiance. Hence, the purpose of this paper is to propose a novel hybrid slime mould assisted with perturb and observe (P&O) global MPPT technique (HSMO) for the hybrid bridge link-honey comb (BL-HC) configured PV system to enhance the better maximum power during dynamic and steady state operations within less time.

In this method, a hybridization of two algorithms is proposed to track the true with faster convergence under PSCs. Initially, the slime mould optimization (SMO) algorithm is initiated for exploration of optimum duty cycles and later P&O algorithm is initiated for exploitation of global duty cycle for the DC–DC converter to operate at GMPP and for fast convergence.

The effectiveness of the proposed HSMO MPPT is compared with adaptive coefficient particle swarm optimization (ACPSO), flower pollination algorithm and SMO MPPT techniques in terms of tracked GMPP, convergence time/tracking speed and efficacy under six complex partial shading conditions. From the results, it is noticed that the proposed algorithm tracks the true GMPP under most of the shading conditions with less tracking time when compared to other MPPT techniques.

This paper proposes a novel hybrid slime mould assisted with perturb and observe (P&O) global MPPT technique (HSMO) for the hybrid BL-HC configured PV system enhance the better maximum power under partial shading conditions (PSCs). This method operated in two stages as SMO for exploration and P&O for exploitation for faster convergence and to track true GMPP under PSCs. The proposed approach largely improves the performance of the MPP tracking of the PV systems. Initially, the proposed MPPT technique is simulated in MATLAB/Simulink environment. Furthermore, an experimental setup has been designed and implemented. Simulation results obtained are validated through experimental results which prove the viability of the proposed technique for an efficient green energy solution.

The purpose of this paper is to investigate how three core elements of critical management studies (CMSs), “de-naturalisation”, “reflexivity” and “(non)-performative intent”, can help expand the current debate in the supply chain management (SCM) field.

The authors used a systematic literature review to select 103 articles published in 12 high-ranking journals in the SCM field based on the Academic Journal Guide of the Chartered Association of Business Schools.

The findings of this study suggest that SCM studies can be narrowed down into four major CMSs themes: “power”, “ethics and environmental issues”, “diversity” and “working conditions”, but even these themes are still under-discussed and undertheorized in SCM. The literature the authors reviewed is more concerned with explaining these phenomena than questioning them and proposing new agendas. This paper, therefore, will discuss how these three core elements of CMS can help transform the “hidden” issues of SCM, which it will do by illustrating it in the context of buyer–supplier relationships and lean manufacturing.

This research will encourage SCM scholars who are interested in conducting more critical studies and teaching the harmful effects of global supply chains.

This paper highlights that a combination of SCM and CMS approaches is important when we decide to adopt a more critical “constructive” view of supply chain challenges and engage practical and critical views, respectively, to generate knowledge that not only increases (corporate) performance but also highlights social needs and values.

This paper aims to clarify voltage sourced converter’s (VSC’s) influence rules on the alternating current (AC) short-circuit current and identify the key factors, so as to propose the short-circuit current suppression strategy.

This paper investigates the key factors which impact the short-circuit current supplied by the VSC based on the equivalent current source model. This study shows that the phase of the VSC equivalent current source is mainly affected by the type of fault, whereas the amplitude is mainly decided by the control mode, the amplitude limiter and the electrical distance. Based on the above influence mechanism, the dynamic limiter with short-circuit current limiting function is designed. The theoretical analysis is verified by simulations on PSCAD.

The short-circuit current feeding from VSC is closely related to the control mode and control parameters of the VSC, fault type at AC side and the electrical distance of the fault point. The proposed dynamic limiter can make VSC absorb more reactive power to suppress the short-circuit current.

The dynamic limiter proposed in this paper is limited to suppress three-phase short-circuit fault current. The future work will focus more on improving and extending the dynamic limiter to the fault current suppression application in other fault scenarios.

The research results provide a reference for the design of protection system.

The key influence factors are conducive to put forward the measures to suppress the fault current, eliminate the risk of short-circuit current exceeding the standard and reduce the difficulty of protection design.

The purpose of this paper is to investigate the performance of Passive Direct Methanol Fuel Cell (PDMFC) experimentally using various Membrane Electrode Assembly (MEA) shapes such as square, rectangle, rhombus, and circle with equal areas and equal perimeters. The variation in MEA shape/size is achieved by altering gasket openings in the dynamic regions.

In the equal areas of MEA shapes, gasket opening areas of 1963.5 (+/−0.2) mm2 are used. Whereas in the equal perimeters of shapes, gasket opening perimeters of 157.1 (+/−0.2) mm are used. In this experimentation, Nickel-201 current collectors with 45.3% of circular openings are used on both the anode and cathode sides. The experiment is carried out at a 5 molar methanol concentration to find out the highest power density of the cell.

In the equal areas, among the shapes that are chosen for investigation, the square shape opening consisting of a perimeter of 177.2 mm has developed a maximum power density of 6.344 mWcm⁻² and a maximum current density of 65.2 mAcm⁻². Similarly, in equal perimeters, the rhombus shape opening with an area of 1400 mm2 has developed a maximum power density of 7.714 mWcm⁻² and a maximum current density of 85.3 mAcm⁻².

The novelty of this research work is instead of fabricating various shapes and sizes of highly expensive MEAs, the desired shapes and sizes of the MEA are achieved by altering gasket openings over dynamic regions to find out the highest power density of the cell.

This study aims to improve the availability of regenerative braking for urban metro vehicles by introducing a sensorless operational temperature estimation method for the braking resistor (BR) onboard the vehicle, which overcomes the vulnerability of having conventional temperature sensor.

In this study, the energy model based sensorless estimation method is developed. By analyzing the structure and the convection dissipation process of the BR onboard the vehicle, the energy-based operational temperature model of the BR and its cooling domain is established. By adopting Newton's law of cooling and the law of conservation of energy, the energy and temperature dynamic of the BR can be stated. To minimize the use of all kinds of sensors (including both thermal and electrical), a novel regenerative braking power calculation method is proposed, which involves only the voltage of DC traction network and the duty cycle of the chopping circuit; both of them are available for the traction control unit (TCU) of the vehicle. By utilizing a real-time iterative calculation and updating the parameter of the energy model, the operational temperature of the BR can be obtained and monitored in a sensorless manner.

In this study, a sensorless estimation/monitoring method of the operational temperature of BR is proposed. The results show that it is possible to utilize the existing electrical sensors that is mandatory for the traction unit’s operation to estimate the operational temperature of BR, instead of adding dedicated thermal sensors. The results also validate the effectiveness of the proposal is acceptable for the engineering practical.

The proposal of this study provides novel concepts for the sensorless operational temperature monitoring of BR onboard rolling stocks. The proposed method only involves quasi-global electrical variable and the internal control signal within the TCU.

The purpose of this study is to describe the proposed alpha solar rotary mechanism (ASRM) and how it is used to accurately modify the solar array of the China Space Station (CSS) in orbit to maintain continuous tracking of the sun to provide power. It also highlights the need to evaluate the performance of the ASRM and predict potential failure modes in various extreme scenarios.

To evaluate the performance of the ASRM, a dynamic model was created and tested under normal and faulty conditions. In addition, a multidirectional stiffness test was conducted on the prototype to verify the accuracy of the ASRM's dynamic model. The high-precision ASRM model was then used to predict potential failure modes and damaged parts in various extreme scenarios.

The simulation results were in good agreement with the test results, with a maximum error of less than 8.85%. The high-precision ASRM's model was able to accurately predict potential failure modes and damaged parts in extreme scenarios, demonstrating the effectiveness of the proposed model and simulation evaluation test.

The proposed high-precision ASRM model and simulation evaluation test provide an effective way to evaluate the structural safety and optimize the design of the spacecraft. This information can be used to improve the performance and reliability of the CSS's solar array and ensure continuous power supply to the station.