This study aims to identify and prioritize the strategies for overcoming digital supply chain (DSC) implementation barriers. Twenty-five DSC barriers and seventeen DSC strategies are formulated through an extensive literature review and expert discussion. An integrated Modified Stepwise Weight...

We propose a constant proportional-Caputo (CPC) operator for modeling childhood disease epidemics by treating positivity, boundedness, well-posedness, and biological viability and checking the reproductive and strength numbers for the biological system. For local and global stability analysis,...

In this work, considering the inevitable effects of environmental perturbation on disease transmission, we investigate a stochastic epidemic model with Crowley-Martin incidence rate and Holling type III treatment. Deterministic model and stochastic model are two parts in model calibration. To...

Numerous expansions of fuzzy sets have been proposed to manage uncertain information in real-world problems. Unlike fuzzy sets and intuitionistic fuzzy sets, picture fuzzy sets independently consider membership, non-membership, and indeterminacy. They have been extensively employed to delineate...

This study presents a generalized approach for implementing the Triadic control policy in queueing modeling of a redundant machining system with multiple servers. The machining system further integrates a policy for servers that allows for multiple working vacations. The fluctuation of active...

This study presents an inventory system where items have an initial linear deterioration rate that transitions to a non-linear pattern, addressing a critical aspect of contemporary supply chain management. Our research introduces a dual warehouse inventory model comprising a rented facility and...

Continuous formulations of new distributions defined on the unit interval have gained attention because of their relevance in modeling proportion data. We innovate in this research direction by combining logarithmic, cosine, and power functions to create a log-cosine-power cumulative...

The Industrial Internet of Things (IIoT) and Digital Twins (DTs) are changing how digital models and physical products interact. IIoT connects to intelligence in the physical world, and DTs virtually represent their physical counterparts. As a result, DTs will be invaluable for testing and...

Gearbox failures can lead to substantial damage, significant financial losses due to maintenance downtimes, and, in some instances, fatalities. This study introduces an intelligent gear fault diagnosis system employing a convolutional neural network (CNN), utilizing vibration and thermal...

This study proposes a model to assess data-driven decision-making (DDDM) readiness in organizations. We present the results from investigating the DDDM readiness of a Swedish organization in the food industry. We designed and developed a questionnaire to collect data about the organization's...