Over the last decade, total primary energy consumption has increased from 479 × 1015 BTU in 2010 to 528 2020. To address this ever-increasing demand, as well prevent environmental pollution, clean energies are presented a potential solution. In regard, evaluating and selecting most appropriate solution for specific area is of particular importance. Therefore, study, comparative analysis Jiangsu province China was performed by describing implementing five prominent multi-criteria...

In this paper, the energy supply of a zero-energy building with 220 square meters is considered using optimized nanocomposite solar panels respect to maximum efficiency. An hybrid machine learning method plays key role in presenting panel modeling over 0.99% accuracy. Predicting properties nanomaterial cell four different seasons performed by efficient support vector machines (SVM), and k-nearest neighbors (KNN) algorithms. addition, KNN algorithm Particle Swarm Optimization (PSO) improve...

In response to the requirement address global climate crisis in urban areas caused by logistics sector, an increasing number of governments around world have begun aggressive strategic actions encourage manufacturers and consumers adopt electric vehicle (EV) technology. One most beneficial aspects driving EV is that it reduces pollution while also reducing use fossil fuels, as well improving public health local air quality. Nevertheless, level adoption differs significantly across markets...

Efficient route management is critical for optimizing maintenance activities in real estate management. This study delves into the intricate task of allocating duties among building surveyors, a pivotal concern property firms. The primary goal planning to enhance operational efficiency by minimizing travel time. To achieve this, explores three distinct algorithms: Saving, Nearest Neighbor, and an Evolutionary Algorithm (EA) customized with Dual Response Surface Optimization (DRSO)....

Globalization and multinational commerce have increased the dynamism complexity of supply networks, thereby increasing their susceptibility to disruptions along interconnected chains. This study aims tackle significant concern supplier selection in Thai agri-food industry as a response aforementioned challenges. A novel evaluation system, PROMETHEE II, is suggested; it combines Fuzzy Analytical Hierarchy Process (FAHP) with inferential statistical techniques. investigation commences...

The education faculty aims to assess departmental effectiveness by analyzing the relationship between service levels, output variables, and input variables. This objective is coupled with formulation of development strategies tailored enhance efficiency while accommodating individual professionals’ unique requirements aspirations. Furthermore, beyond annual University Evaluation System, members conduct thorough evaluations identify discrepancies in reports detailing levels components...

Response surface methods via the first or second order models are important in manufacturing processes. This study, however, proposes different structured mechanisms of vertical transportation systems VTS embedded on a shuffled frog leaping-based approach. There three scenarios, motion reaching normal operating velocity, and both not transitional motion. These variants were performed to simultaneously inspect multiple responses affected by machining parameters multi-pass turning The...

This research paper presents an all-encompassing methodology for multi-criteria decision-making in the apparel sector, with particular objective of aiding determination most appropriate location within CLMV subregion. The is conducted three crucial stages. process began administration a survey to proprietors garment businesses both Thailand and countries. resulted compilation exhaustive list site-selection criteria sub-criteria. Based on findings subject matter-expert interviews, Cambodia...

Nowadays, the engineering problem systems are large and complicated. An effective finite sequence of instructions for solving these problems can be categorised into optimisation meta‐heuristic algorithms. Though best decision variable levels from some sets available alternatives cannot done, meta‐heuristics is an alternative experience‐based techniques that rapidly help in solving, learning discovery hope obtaining a more efficient or robust procedure. All provide auxiliary procedures terms...

Competition affects increases in production and economic growth.Good planning has direct effects on system modifications.The company the case study was an Installation Elevator Company currently encountering problems area of aggregate sales prediction, causing to be unable deliver products schedule with customer satisfaction.This had objective compare prediction methods companies order analyze determine lowest cost by using data from 12 months retrospect most appropriate method.This used 6...