Efficiency Evaluation and Performance Comparison of Third-Party Logistics Providers: AHP-DEA Approach by Nontando Sibanda, Trust Tawanda, Elias Munapo

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Improving agricultural sustainability through farm mergers: an energy efficiency perspective by Amar Oukil, Ahmed Nourani, Ahmed Amin Soltani, Mohamed-Rachid Boulassel, Abdelaali Bencheikh

“…Our approach incorporates the ordered weighted averaging (OWA) operator within an inverse data envelopment analysis (IDEA) model to identify post-merger farms that meet preset efficiency targets. …”
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From Carbon Footprints to Competitive Edges: Analyzing Environmental Efficiency in Aviation by Zehra Vildan Serin, Oya Öztürk

“…Purpose: This study conducts a comprehensive analysis of environmental efficiency in the aviation industry, focusing on 19 global airline companies employing diverse business models.Methodology: Utilizing Data Envelopment Analysis for 2017 to 2022, the research quantifies efficiency levels based on input and output variables, including Fuel Consumption, Revenue Passenger Kilometers, Greenhouse Gas Emissions, and Total Income.Findings: Noteworthy findings reveal that Alaska Airlines (VRS=1), Lufthansa (VRS=1), Spirit Airlines (VRS=1), and Delta Air Lines (VRS=1) consistently operated at the environmental efficiency frontier, showcasing a proportional relationship between input and output values.Originality: The dynamic nature of the aviation industry, coupled with the economic implications of environmental initiatives, necessitates a nuanced understanding of airlines' sustainability efforts. …”
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Boosting the Development and Management of Wind Energy: Self-Organizing Map Neural Networks for Clustering Wind Power Outputs by Yanqian Li, Yanlai Zhou, Yuxuan Luo, Zhihao Ning, Chong-Yu Xu

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Exploring Applications and Practical Examples by Streamlining Material Requirements Planning (MRP) with Python by João Reis

“…<i>Methods</i>: This article offers a twofold approach: firstly, it conducts research to uncover the potential applications of the Python code in streamlining the MRP operations, and the practical examples serve as evidence of Python’s efficacy in simplifying the MRP tasks; secondly, this article introduces a conceptual framework that showcases the Python ecosystem, highlighting libraries and structures that enable efficient data manipulation, analysis, and optimization techniques. …”
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Exploring Public Sentiment Towards Agile and Digital Transformation: A Refined Methodological Approach Through Twitter Sentiment Analysis and Topic Modeling by Hidri Florenc, Çaushi Blerta Abazi, Tigno Gladiola

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Information Requirements and Legal Framework for Multimodal Transport System Coordination by Dominik Wittenberg, Anne Paschke, Andre Kukuk, Jürgen Pannek

“…<i>Result:</i> A respective system architecture for the integration of selected methods is proposed and the resulting analysis outlines the legal requirements for data usage under the Data Governance Act (DGA) and the General Data Protection Regulation (GDPR). …”
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Data-Driven Carbon Emission Dynamics Under Ship In-Port Congestion by Weiyu Liu, Bowei Xu, Junjun Li

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Voices of surgical wards nurses on barriers hindering acute post-operative pain management at Tshwane municipality, South Africa. by Nnene Melia Makou, Melitah Molatelo Rasweswe, Ramadimetja Shirley Mooa

“…An independent co-coder assisted with data analysis.<h4>Findings</h4>The barriers described by the participants include: 1) Organisational/ management related barriers; 2) Personnel related barriers, which were discussed as shortage of nurses, inadequate skill competency to manage acute post-operative pain, and interprofessional communication; and 3) Patient related barriers.…”
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Synergistic review of automation impact of big data, AI, and ML in current data transformative era [version 2; peer review: 2 approved, 1 approved with reservations] by Siddharth Swarup Rautaray, Manjusha Pandey, Swastik Rath

“…The study covers six key sectors: healthcare, banking, finance, retail, real estate, and agriculture, highlighting how these industries leverage automated systems and data analytics to enhance operations, manage risks, and improve decision-making processes. …”
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Research on anti-error operation warning of power grid dispatching based on deep bidirectional gated recurrent neural network by Jinglong He, Dunlin Zhu, Sheng Yang, Jinming Liu, Tianyun Luo, Yuan Fu

“…This paper combines the principle of hierarchical data construction, summarizes the structured data of metadata operation tickets and maintenance plans of CIM model and OMS network frame model, and constructs the data warehouse of grid dispatching error prevention; based on the natural language processing (NLP) technology, key information and knowledge entities related to grid dispatching error prevention are automatically identified and extracted from the data warehouse. …”
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An Assessment of Data from the Advanced Technology Microwave Sounder at the Met Office by Amy Doherty, Nigel Atkinson, William Bell, Andrew Smith

“…An appraisal of the Advanced Technology Microwave Sounder (ATMS) for use in numerical weather prediction (NWP) is presented, including an assessment of the data quality, the impact on Met Office global forecasts in preoperational trials, and a summary of performance over a period of 17 months operational use. …”
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Anomaly detection method for power system information based on multimodal data by Liyue Chen, XuXiang Zhou, Peng Zhou, Xin Sun, SenSen Zheng

“…With the increasing complexity of modern power systems, effective anomaly detection is essential to ensure operational security. Conventional methods often depend on single-domain data, which limits their ability to fully capture the dynamic behavior of power systems. …”
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Assessing the stability of indoor farming systems using data outlier detection by Jean Pompeo, Ziwen Yu, Chi Zhang, Songzi Wu, Ying Zhang, Celina Gomez, Melanie Correll

“…Ensuring data quality in CEA systems is essential, as it affects system stability and operational efficiency. …”
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Impact of artificial intelligence using the robotic process automation system on the efficiency of internal audit operations at Jordanian commercial banks by Abdalla Alassuli

“…In this study, 480 electronic questionnaires were distributed via Google Forms, and 390 completed forms were collected for further analysis. The study employs descriptive statistics and advanced statistical techniques, such as linear regression analysis, for data analysis. …”
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Bipolar Pythagorean Neutrosophic Aggregation Operator for Voice of the Guest: Evaluating Hotel Management Service Quality through Customer Feedback by Ying Zhong, Yanyan Yao, Xiaoting Huang

“…The study emphasizes how crucial it is for hotel operations to actively use customer feedback systems, including surveys, reviews, and sentiment analysis tools, as a real-time quality control tool. …”
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Analysis of the reasons for low mean time between failures of pumping equipment at a high-viscosity permo-carbon oil deposit by D. A. Ivanov

“…The analysis of the main causes and trends of low mean time between failure using a large array of information and data was performed. …”
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State Estimation Method for Distribution Network Based on Incomplete Measurement Data by Peng LI, Wenjing ZU, Yixin LIU, Chunzheng TIAN, Yuanzhao HAO, Huixuan LI

“…With the large-scale integration of distributed energy resources, the operational characteristics of the traditional distribution networks have undergone significant changes, leading to such problems as dispersed loads, poor real-time observability, and incomplete data, which severely impact the state monitoring and operational optimization of the distribution networks. …”
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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

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Identification and evaluation of performance indicators affecting human error, based on fuzzy logic (An operation center of Gas transmission company) by M Kiani, I Mohammad Fam, T Allahviranloo

“…To conduct this research, initially focused on the identification and selection of factors affecting the performance required for data collection, preparation and completion of a questionnaire, and finally the analysis was done using fuzzy logic. …”
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