Методологический подход к выбору информационно-технологической основы системы информационного взаимодействия участников послепродажного обслуживания сложных технических изделий

С. М. Ямпольский; К. С. Гоменюк; А. П. Сериков

?

Методологический подход к выбору информационно-технологической основы системы информационного взаимодействия участников послепродажного обслуживания сложных технических изделий

Логистика и управление цепями поставок. 2017. Т. 82. № 05. С. 95–102.

Yampolsky S., Gomenyuk K., Serikov A. P.

An important aspect of the quality of projects for the creation of complex technical products is the degree of reflection of the requirements put forward to the product in the project documentation. The requirements to achieve a balance between the values of quality indicators and the cost of the product have a significant effect on the configuration management of both the product itself and the components of its after-sales service, including the supply of spare parts and consumables. Taking into account the interests of the producer and the customer of the products in the part of after-sales service is the subject of a compromise that must be achieved in the process of preparing the relevant contract and be fixed in it. The effectiveness of after-sales service is determined, first of all, by the quality of decisions made by the management bodies of service companies, which depends to a considerable extent on the information support of these bodies. Taking into account the mentioned circumstances, the solution of the problem of choosing a rational variant of the informative and technological basis for increasing the effectiveness of information interaction among the after-sales service participants (taking into account the volume of the invested financial resources) acquires particular urgency. The article is devoted to the system of key performance indicators strategic map of the information interaction system. The paper describes the strategic objectives of the information interaction system, as well as the corresponding key performance indicators. An example of choosing a rational option of the informative and technological basis of the information interaction system for after-sales service participants is considered on the basis of the hierarchy analysis method, taking into account the amount of invested financial resources. The need for such a choice is dictated not so much by the relevant standards as by the needs of the business itself, which does not want to lose significant financial resources on insignificant occasions.

Research target: Computer Science

Priority areas: business informatics

Language: Russian

Full text

Keywords: система сбалансированных показателей spare parts запасные части balanced scorecard стратегическая карта after-sales service послепродажное обслуживание technical products технические изделия strategic map informative and technological basis information interaction system информационно-технологическая основа система информационного взаимодействия

Benchmarking DNA large language models on quadruplexes

Cherednichenko O., Herbert A., Poptsova M., Computational and Structural Biotechnology Journal 2025 Vol. 27 P. 992–1000

Large language models (LLMs) in genomics have successfully predicted various functional genomic elements. While their performance is typically evaluated using genomic benchmark datasets, it remains unclear which LLM is best suited for specific downstream tasks, particularly for generating whole-genome annotations. Current LLMs in genomics fall into three main categories: transformer-based models, long convolution-based models, and state-space models ...

Added: June 19, 2026

Kolmogorov–Arnold networks for genomic tasks

Poptsova M., Briefings in Bioinformatics 2025 Vol. 26 No. 2 P. 1–11

Kolmogorov–Arnold networks (KANs) emerged as a promising alternative for multilayer perceptrons (MLPs) in dense fully connected networks. Multiple attempts have been made to integrate KANs into various deep learning architectures in the domains of computer vision and natural language processing. Integrating KANs into deep learning models for genomic tasks has not been explored. Here, we ...

Added: June 19, 2026

Графовые паттерны в несогласованных декларативных моделях процессов

Анненков А. Н., Nesterov R., Моделирование и анализ информационных систем 2026 Т. 33 № 2 С. 176–205

Declarative process models are widely used in process mining to describe flexible process behavior through sets of constraints. However, models discovered automatically from event logs may contain inconsistent constraints, which can make them difficult to interpret and unusable for execution, conformance checking, or further analysis. Existing methods for consistency analysis either rely on automata-based constructions ...

Added: June 18, 2026

Advances in Information Retrieval: 48th European Conference on Information Retrieval, ECIR 2026, Delft, The Netherlands, March 29 – April 2, 2026, Proceedings, Part II. (LNCS, volume 16484)

Cham: Springer Publishing Company, 2026.

The four-volume set LNCS 16483-16486 constitutes the refereed conference proceedings of the 48th European Conference on Information Retrieval, ECIR 2026, held in Delft, The Netherlands, during March 29–April 2, 2026. The 46 full papers and 37 short papers presented together with 10 findings papers, 9 reproducibility papers, 17 resource papers, 11 workshop papers, 7 tutorial papers, ...

Added: June 18, 2026

Искусственный интеллект как роза научной деятельности: исследование Тимоти Гауэрса

Poddiakov A., Троицкий вариант. Наука 2026 № 12 С. 24–25

В научно-популярной заметке представлен обзор содержания поста филдсовского медалиста Тимоти Гауэрса о возможностях ИИ в математике и содержания комментариев под постом. Обзор сделан в основном чат-ботом DeepSeek. В заключение обсуждается возможность не только решения задач искусственным интеллектом, но и их постановки. ...

Added: June 18, 2026

Exploring New Frontiers in Vertical Federated Learning: the Role of Saddle Point Reformulation

Beznosikov A., Kormakov G., Grigorievskiy A. et al., Journal of Optimization Theory and Applications 2026 Vol. 209 Article 18

The objective of Vertical Federated Learning (VFL) is to collectively train a model using features available on different devices while sharing the same users. This paper focuses on the saddle point reformulation of the VFL problem via the classical Lagrangian function. We first demonstrate how this formulation can be solved using deterministic methods.More importantly, we explore various stochastic modifications to ...

Added: June 17, 2026

Supervised Learning in Critical Phenomena—Statistical and Systematic Accuracy

Chertenkov V. I., Shchur L., Lobachevskii Journal of Mathematics 2026 Vol. 47 No. 2 P. 720–727

Supervised machine learning is successfully applied to the study of critical phenomena and allows us to obtain a numerical estimate of the phase transition temperature and the correlation length exponent. We discuss the influence of possible systematic errors, as well as statistical errors, on the accuracy of such numerical estimates. Errors in the training and ...

Added: June 16, 2026

Enhancing Emotion Recognition in Speech Based on Self-Supervised Learning: Cross-Attention Fusion of Acoustic and Semantic Features

Deeb B., Andrey V. Savchenko, Makarov I., IEEE Access 2026 Vol. 13 P. 56283–56295

Speech Emotion Recognition has gained considerable attention in speech processing and machine learning due to its potential applications in human-computer interaction, mental health monitoring, and customer service. However, state-of-the-art models for speech emotion recognition use many parameters, which leads to computational complexity. In this paper, we introduce a novel deep-learning model to enhance the accuracy ...

Added: June 16, 2026

Automated detection of wolf howls using audio spectrogram transformers

Makarov N., Savchenko A., Zemtsova I. et al., Scientific Reports 2025 Vol. 15 Article 26641

The grey wolf (Canis lupus) is a pivotal species for ecological studies. As a key participant in ecosystem processes, it also serves as a model for investigating social structure formation and ecological adaptation. However, the species’ complex social behavior, spatial dynamics, and expansive habitats make monitoring and population assessments across large areas particularly challenging. In recent years, audio traps ...

Added: June 16, 2026

Artificial intelligence framework for multi-pathology risk assessment from retinal fundus images: deep learning approach to 15-disease screening

Vasilev R., Savchenko A., Blinov P. et al., Frontiers in Medicine 2026 Vol. 13

Automated disease screening systems face challenges when applied to multi-class medical image analysis, particularly under severe class imbalance inherent in clinical datasets. Retinal fundus imaging enables non-invasive screening for multiple ocular and systemic diseases simultaneously, yet current automated systems typically assess risk for only a single pathology or a limited disease range. We developed a ...

Added: June 16, 2026

From Data to Signs: A Foundation Model for Multilingual Sign Language Recognition

Novopoltsev M., Tulenkov A., Murtazin R. et al., IEEE Access 2025 Vol. 13 P. 188170–188181

Video-based Isolated Sign Language Recognition (ISLR) problem presents significant challenges in scaling across diverse languages due to data scarcity and the computational costs associated with training of language-specific models. In this paper, we introduce a novel training pipeline that leverages self-supervised learning on a large-scale sign language dataset. To obtain the foundation model, we utilize ...

Added: June 16, 2026

B3Emo: Quantifying Affect as a Double-Edged Sword in Strategic LLM Interactions

Stepin A., Mozikov M., Kabanov A. et al., IEEE Access 2026 Vol. 14 P. 48127–48144

The deployment of large language models (LLMs) in interactive roles such as automated negotiators, customer service agents, and strategic partners requires them to handle not only logical tasks but also the socio-emotional dimensions of interaction. In these situations, success often relies on understanding social cues, building trust, and using persuasion effectively. These skills are closely ...

Added: June 16, 2026

ESQA: Event Sequences Question Answering

Abdullaeva I., Karpukhin I., Filatov A. et al., IEEE Access 2026 Vol. 14 P. 59390–59408

Event sequences, a specialized type of tabular data annotated with timestamps, are prevalent across practical domains such as finance, retail, social networks, and healthcare. Despite the importance of event sequence modeling and analysis, there has been little effort to adapt Large Language Models (LLMs) to this domain. In this paper, we propose a novel solution ...

Added: June 16, 2026

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Association for Computational Linguistics, 2026.

Added: June 14, 2026

Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)

Strube M., Braud C., Hardmeier C. et al., Suzhou: Association for Computational Linguistics, 2025.

Added: June 11, 2026

TreeDQN: Sample-efficient off-policy reinforcement learning for combinatorial optimization

Sorokin D., Kostin A., Savchenko L. et al., Knowledge-Based Systems 2026 Vol. 348 Article 116258

A convenient approach to optimally solving combinatorial optimization tasks is the Branch-and-Bound method. Its branching heuristic can be learned to solve a large set of similar tasks. The promising results here are achieved by the recently appeared on-policy reinforcement learning method based on the tree Markov Decision Process. To overcome its main disadvantages, namely, very large training time ...

Added: June 10, 2026

Microbial diversity and production of milk spirit using traditional Buryat fermentation and distillation technologies

Namsaraev Z., Nanzatov B., Kozlova A. et al., Scientific Reports 2026 Vol. 16 No. 1 Article 17769

Distilled fermented milk beverages are rare in food technology, despite the global prevalence of plant-based spirits. Currently, the production of distilled strong alcoholic beverages from fermented milk using traditional technologies is known only among Mongolic-speaking peoples and their Siberian neighbors. This study provides the first interdisciplinary analysis of darasun, a traditional Buryat spirit made from fermented ...

Added: June 10, 2026

Artificial intelligence and digital twins for failure prediction in data center cooling systems: a comprehensive literature review (2018–2026)

Butorova A., Bobakov V., Sergeev A. et al., European Physical Journal: Special Topics 2026 P. 1–19

This paper presents a review of artificial intelligence (AI) methods for failure prediction in data center cooling systems, with a focus on the integration of digital twins (DTs), physics-informed learning, and graph-based models. Positioned within complex network science, this review addresses a limitation of conventional graph approaches—their reliance on pairwise connectivity—whereas real-world failures often arise ...

Added: June 10, 2026

Оценка моделей LLM по степени готовности решать задачи управления в области ESG

Storchevoy M., Mylnikov L., Чернышев В. В. et al., / SSRN. Серия "Working Papers". 2025.

Внимание к охране природы принимает все большую значимость для бизнеса с одной стороны в связи с ужесточением в природоохранном законодательстве, а с другой в связи с использованием ESG рейтингов при принятии решений о коммерческой деятельности компаний. Составление рейтинга LLM систем, способных оказывать консультационные услуги в области природоохраны и ESG, позволяет осуществить выбор такой системы для ...

Added: September 18, 2025

Causal Estimands for Policy Evaluation and Beyond

Sokolov B., / Series OSF "SocArXiv". 2025.

This paper reviews various estimands used in modern scientific and applied research to operationalize causal inquiries within the Rubin Causal Model framework. I first introduce the most widely utilized average treatment effects, such as ATE, ATT, and ATC. I then describe their popular extensions, including those targeting local and conditional treatment effects; causal interactions and mediation; effects ...

Added: May 6, 2025

Cultural characteristics of Digital Ecosystem Product Teams and Operational Efficiency

Ovanesova Y., Moshiashvili M. M., Типсина Н. О., / Series "Working Papers". 2021.

The purpose of this article is to analyze and evaluate the cultural characteristics of the digital ecosystem product teams leaders and operational efficiency. Using binary choice models (the main conclusions were made on the basis of logit regressions), has been found a significant negative relationship between the probability of achieving business goals by a team ...

Added: February 17, 2025

Versions of least-squares k-means algorithm for interval data

Mirkin B., Parinov A., Halynchyk M. et al., / Series WP7 "Математические методы анализа решений в экономике, бизнесе и политике". 2024.

Recently, k-means clustering has been extended to the so-called interval data. In contrast to conventional data case, the interval data feature values are intervals rather than single reals. This paper further explores the least-squares criterion for k-means clustering to tackle the issue of initialization, that is, finding a proper set of initial cluster centers at ...

Added: November 26, 2024

Fairness of Machine Learning Algorithms in Demography

Emmanuel I. C., Mitrofanova E., / Series 4064475 "ArXiv Preprint". 2022.

The paper is devoted to the study of the model fairness and process fairness of the Russian demographic dataset by making predictions of divorce of the 1st marriage, religiosity, 1st employment and completion of education. Our goal was to make classifiers more equitable by reducing their reliance on sensitive features while increasing or at least ...

Added: May 31, 2022

МЕТОДИЧЕСКИЕ УКАЗАНИЯ ДЛЯ ПОДГОТОВКИ КУРСОВОГО ПРОЕКТА «МОДЕЛИРОВАНИЕ ОРГАНИЗАЦИИ»

Zaramenskikh E., Bruskin S., Gorchakov Y. V. et al., М.: Национальный исследовательский университет "Высшая школа экономики", 2021.

Курсовой проект «Моделирование организации» является обязательным компонентом проектной и исследовательской работы, обеспечивающей подготовку бакалавров Высшей школы бизнеса НИУ ВШЭ по направлению 38.03.05 «Бизнес-информатика». Курсовой проект проводится в соответствии с утвержденными рабочими учебными планами образовательных программ бакалавриата в целях интеграции полученных ранее знаний, умений и навыков, а также приобретения прикладного, организационного и исследовательского опыта проектной деятельности. ...

Added: October 13, 2021