Equivalence assessment method for the resource efficiency of equipment, technologies and production systems

Factors defining business adaptability to economic changes were identified. Creation of service clusters will provide the balance of interests for all agencies using technological machines and increase their performance. The result of the study is a solution of the optimization task aimed at determining the criteria of economic activities of a network of enterprises that service objects of amelioration with the use of various equipment. This solution enables regulating the level of materials and equipment taking into account the expected demand for repair stock and expected minimization of transportation costs for distributing stocks with estimate of the function of flow rates accounting. The system of distributing dead stocks of materials and equipment is proposed. The authors elaborated the economic-and-mathematical model for storage costs optimization when warehousing and selling unused materials and equipment. Results of testing the distribution scheme for dead stock of materials and equipment belonging to Stroytekhnika company, who is a supplier of consumables, fuel and lubricants, as well as spare parts for reclamation and road construction machinery.

Section: Methodsmentioning

confidence: 99%

Model of optimization of materials and equipment for machinery fleet when servicing objects of reclamation systems

Apatenko

Sevryugina

2020

“…To get the current time and date, the DateTime.Now property was used, which takes the current date and time of the computer. The AddDays() method was used to add dates (see Listing 1) [21,22].…”

Section: The Solution To the Problem Posedmentioning

confidence: 99%

Advanced robotic process automation for enterprise efficiency

Yoqubjonov,

Gibadullin,

Nuriev

2023

Utilizing ELegant MAnagement Robotic Process Automation (ELMA RPA) for automating technological processes within an enterprise offers several advantages. Companies can enhance operational efficiency, save time, reduce errors, and streamline their operations by utilizing this advanced automation solution. ELMA RPA is an especially effective tool for tasks involving repetitive processes, like document management and administrative work. The incorporation of ELMA RPA allows businesses to take advantage of software robots, which are programmed to perform tasks with precision and consistency. Through the use of readout modes for interface elements, process modeling, and carefully designed algorithms, ELMA RPA allows for seamless interaction between various third-party programs. This not only enhances productivity but also allows companies to remain competitive in the ever-evolving business landscape. In summary, ELMA RPA is an essential tool for businesses looking to optimize their operations and capitalize on the benefits of process automation. This article describes principles and peculiarities of business process automation development using software robots using ELMA RPA product. The following are considered: readout modes of interface elements (methods that allow recording and accurately reproducing interaction between different third-party programs using their graphical interface), process modeling, and algorithm of the robot's actions. An example of the implementation of business process robotization in a leading consulting and auditing company is considered.

“…Based on the normalization of the ratings for goalkeeper, defender, and attacker by the maximum value [25,26,27], the overall team rating is formed by the formula (11):…”

Section: The Algorithm For Calculating Player and Team Ratings Based ...mentioning

confidence: 99%

Development of the mathematical model for calculating player ratings using soft calculations

Pashin,

Minyazev,

Nuriyev

2023

This research signifies an ambitious step forward in sports analytics, aiming to formulate a novel mathematical model that assesses team sports players’ performance with higher precision. It aspires to unravel a deeper understanding of player abilities, a complex task that requires advanced computational modeling and statistical analysis. The proposed model is built upon cutting-edge soft computing techniques. These techniques – fuzzy logic, neural networks, and genetic algorithms - are expertly integrated, each contributing unique elements to enhance the model’s accuracy and dependability. Fuzzy logic, with its capacity to handle ambiguity, provides nuanced evaluations, accounting for sports’ inherent uncertainties. Neural networks offer the model a capacity to learn and evolve, refining its evaluations as it processes new data. Genetic algorithms, modeled on natural evolution, optimize the model’s decision-making process, highlighting the most successful player strategies. This innovative approach could reshape player evaluations, replacing one-dimensional, static metrics with a dynamic, multi-faceted framework. Coaches, managers, and analysts will be equipped with a robust tool for decision-making and talent sourcing, ushering in a new era of sports analytics.