Внедрение зарплатного проекта с использованием банковских пластиковых карточек в ОАО «Белинвестбанк»

Материалы VI Междунар. межвуз. науч.-техн. конф. студентов, аспирантов и молодых ученых, Гомель, 4–5 мая 2006 г

A Large-scale Benchmark for Log Parsing

Log data is pivotal in activities like anomaly detection and failure diagnosis in the automated maintenance of software systems. Due to their unstructured format, log parsing is often required to transform them into a structured format for automated analysis. A variety of log parsers exist, making it vital to benchmark these tools to comprehend their features and performance. However, existing datasets for log parsing are limited in terms of scale and representativeness, posing challenges for studies that aim to evaluate or develop log parsers. This problem becomes more pronounced when these parsers are evaluated for production use. To address these issues, we introduce a new collection of large-scale annotated log datasets, named LogPub, which more accurately mirrors log data observed in real-world software systems. LogPub comprises 14 datasets, each averaging 3.6 million log lines. Utilizing LogPub, we re-evaluate 15 log parsers in a more rigorous and practical setting. We also propose a new evaluation metric to lessen the sensitivity of current metrics to imbalanced data distribution. Furthermore, we are the first to scrutinize the detailed performance of log parsers on logs that represent rare system events and offer comprehensive information for system troubleshooting. Parsing such logs accurately is vital yet challenging. We believe that our work could shed light on the design and evaluation of log parsers in more realistic settings, thereby facilitating their implementation in production systems

Impacts of Power Structure on Introduction of Green Store Brand

Over the past decades, the store brand has undergone a key change and achieved a remarkable improvement. Based on the industry observations, there is a wide belief that the retailers are more and more inclining to add values that cater to the consumers into their store brands. The green store brand, one kind of the burgeoning store brands, has been introduced by many retailers recently. In this paper, we investigate the conditions for retailer to introduce a green store brand and the impacts of supply chain power structure on the retailer’s product strategy. We built and solved six game models with respect to three supply chain power structures with and without the green store brand. The results show that: (i) the threshold to introduce the green store brand is lowest in RS power structure while highest in VN power structure, and the thresholds to only sell the green store brand under different power structures are the same; (ii) the green store brand may be introduced as a profitable product that has the real sale or just a threatening tool to compel the manufacturer to make a concession in wholesale price; (iii) once the green store brand is introduced, it is always detrimental to the manufacturer regardless of power structure; (iv) the green store brand can alleviate the double marginalization effect with respect to the national brand in most cases but aggravate it if the power structure is RS, and the ratio of potential margin is relatively low

Системы производства и распределения энергоносителей промышленных предприятий

Рассмотрены теоретические и практические вопросы, связанные с основами проектирования и расчетов основного оборудования систем производства и распределения энергоносителей. Изложены основные направления изучения режимов работы энергетических систем и используемого оборудования. Для студентов специальностей 1-43 01 05 «Промышленная теплоэнергетика» и 1-43 01 07 «Техническая эксплуатация энергооборудования организаций»

An NSGA-II Algorithm with Adaptive Local Search for a New Double-Row Model Solution to a Multi-Floor Hospital Facility Layout Problem

A well-designed hospital facility layout planning process will enable improvements in operational efficiency, health outcomes, and patients’ medical experience. Older hospital facility layouts are likely to be based only on their designer’s experience, extant legal regulations, and other historical constraints. In this paper, we propose a solution to a multi-floor hospital facility layout problem in a hospital in Shanghai, China, based on a double-row model in which all departments are arranged into two rows on each floor. In this model, some fixed facilities are also taken into consideration. Two objectives, namely minimizing the total movement distance of patients and maximizing the total closeness rating score, are considered. An NSGA-II (nondominated sorting genetic algorithm II) algorithm with an adaptive local search operator has been developed to search for Pareto-optimal solutions. Experimental results show that our algorithm is able to solve model requirements successfully, the local search operator performs well, and the obtained results outperform the present layout in both the objectives

A heuristic for rationing inventory in two demand classes with backlog costs and a service constraint

We study the rationing policy in an inventory system with two demand classes and different service criteria for backorders. Due to the difference of customer values, system performance sometimes has to be measured with a mixture of penalty cost and service level in managing inventory. With a continuous review (r,Q) system, we develop a critical level rationing policy in which a threshold mechanism is adopted to allocate backorders when multiple outstanding orders exist. Due to the complexity of the problem, a heuristic is developed based on the principle that both demand classes are served with respective target service levels. We also introduce bounds so that the search ranges of decision variables become restrictive. The numerical examples indicate an excellent performance of our heuristic. In addition, when ordering cost is medium or high, the threshold clearing mechanism has the same results as the optimal one. When ordering cost is small (set to zero), different clearing mechanisms should be used depending on the priorities of demand classes. Further analysis indicates that transforming the service constraint into a cost parameter and then applying the existing algorithm will not be a good approach for this problem with mixed performance criteria. It either increases the costs or violates the service constraint. This study also shows the importance of applying rationing policy when high priority class has a low demand volume, target service levels between two classes have a large gap, or replenishment lead time is long. The results of this study should enhance our understanding of how to implement rationing policies in practice