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The purpose of this paper is to explore the possibility of effectively enforcing the Anti‐money Laundering and Counter Terrorism Financing (AMLCTF) Act compliance on prepaid card small and medium enterprises (SMEs). Currently, certain types of prepaid cards providers are exempt from compliance. This paper looks at this situation bearing in mind the necessity of keeping regulation manageable for SMEs.

The paper adopts the case study approach facilitated by an online search of different prepaid card vendors. Using this as a basis, a feasibility analysis of the AMLCTF Act is conducted for prepaid card SMEs.

It is found that not all regulation compliance requirements are applicable to SMEs. Regulation enforcement without considering the capabilities of the regulated entities will only increase avoidance. It is also found that the AMLCTF Act does not effectively address the issue of prepaid cards' vulnerability to money laundering and terrorism financing (ML/TF) illustrated by exclusion of prepaid cards that cannot be used to withdraw money from the compliance. Given that there are records of such cards been exploited for illegal trading, Australian Transactions Reports Analysis Centre appears not to be up to date with the ongoing trend in ML/TF around the world.

Limitations of case study research methodology apply. Also, the prepaid card vendor information is based on an online search of their web sites and did not involve in‐person interactions to gather the information.

This is the first paper in anti‐money laundering literature that has considered SMEs and attempted to look into the AMLCTF Act compliance requirements' applicability for them. It is believed that the case study can facilitate further research related to regulation enforcement issues for SMEs.

Reliability plays an important role in the execution of the maintenance improvement and the understanding of its concepts is essential to predict the type of maintenance according to the equipment state. Thereby, a computational tool was developed and programming with VBA in Excel® for reliability and failure analysis in a mining context. The paper aims to discuss these issues.

The developed approach use the modeling of stochastic processes, such as the renewal process, the non-homogeneous Poisson process and less conventional method as the Bayesian approach, by considering Jeffreys non-informative prior. The resolution gives the best associated model, the parameters estimation, the mean time between failure and the reliability estimate. This approach is validated with the reliability analysis of inter-failure times from underground rock bolters subsystems, over a two-year period.

Results show that Weibull and lognormal probability distribution fit to the most subsystems inter-failure times. The study revealed that the bolting head, the rock drill, the screen handler, the electric/electronic system, the hydraulic system, the drilling feeder and the structural consume the most repair frequency. The hydraulic and electric/electronic subsystems represent the lowest reliability after 50 operation hours.

For the first time, this case study defines practical failures and reliability information for rock bolter subsystems based on real operation data. This paper is useful to the comparative evaluation of rock bolter by detecting the weakest elements and understanding failure patterns in the individual observation subsystems on the overall machine performance.

This study aims to comprehensively identify and categorize key indicators for halal-sustainable supply chain management (HSSCM) tailored to small- and medium-sized enterprises (SMEs) in the food sector, emphasizing economic, environmental and social sustainability.

This paper uses integrated approaches such as decision-making trial and evaluation laboratory, interpretative structural model and MICMAC to investigate the interconnectedness between the economic, environmental, social and halal-specific criteria in the food sector for SMEs.

This study highlights 16 crucial indicators for HSSCM in SMEs within the food industry, organized into economic, environmental, social and halal-specific categories. The total relationship matrix shows important interdependencies between indicators, like operational costs and logistics, underscoring the necessity for a comprehensive management approach. Additionally, the cause-effect diagram and structural self-interaction matrix (SSIM) illustrate the hierarchical relationships among these indicators, aiding in strategic planning and decision-making.

This study integrates a broader range of indicators and reveals complex dependencies critical for managing halal supply chains effectively. This study also offers a robust framework for integrating halal practices and sustainability, supporting SMEs in adopting ethical, environmentally conscious business strategies.