OPTIMIZATION OF COMPLEX OPERATIONS IN THE SUPPLY CHAIN THROUGH THE IMPLEMENTATION OF ADVANCED PLANNING SYSTEM

Contemporary variability of the environment and market dynamics force enterprises to optimize operations in the supply chain. Advanced IT systems such as the Advanced Planning System are a powerful tool that supports many areas in supply chain management. An efficient supply chain is a key element in gaining a competitive advantage in the market. Therefore, the foundation of the material and information flow regulation in manufacturing enterprises is the efficient exchange of information with both the internal and external environment of the organization. The article presents the optimization process of complex operations taking place in the supply chain by implementing the Advanced Planning System in the examined enterprise. It also enumerates significant benefits resulting from the implementation

Prognostic value of the 6-gene OncoMasTR test in hormone receptor–positive HER2-negative early-stage breast cancer: Comparative analysis with standard clinicopathological factors

Aim: The aim of the study was to assess the prognostic performance of a 6-gene molecular score (OncoMasTR Molecular Score [OMm]) and a composite risk score (OncoMasTR Risk Score [OM]) and to conduct a within-patient comparison against four routinely used molecular and clinicopathological risk assessment tools: Oncotype DX Recurrence Score, Ki67, Nottingham Prognostic Index and Clinical Risk Category, based on the modified Adjuvant! Online definition and three risk factors: patient age, tumour size and grade. Methods: Biospecimens and clinicopathological information for 404 Irish women also previously enrolled in the Trial Assigning Individualized Options for Treatment [Rx] were provided by 11 participating hospitals, as the primary objective of an independent translational study. Gene expression measured via RT-qPCR was used to calculate OMm and OM. The prognostic value for distant recurrence-free survival (DRFS) and invasive disease-free survival (IDFS) was assessed using Cox proportional hazards models and Kaplan-Meier analysis. All statistical tests were two-sided ones. Results: OMm and OM (both with likelihood ratio statistic [LRS] P Discussion: Both OncoMasTR scores were significantly prognostic for DRFS and IDFS and provided additional prognostic information to the molecular and clinicopathological risk factors/tools assessed. OM was also the most accurate risk classification tool for identifying DR. A concise 6-gene signature with superior risk stratification was shown to increase prognosis reliability, which may help clinicians optimise treatment decisions. Trial registration: ClinicalTrials.gov NCT02050750 NCT00310180.</p

Doskonalenie procesu produkcji I logistyki w badanym przedsiębiorstwie

Manufacturing and logistics process in conditions of the contemporary market must be multidimensional and multicriterial. Activities associated with production and logistics are closely related. Improvement of the manufacturing process and logistics areas in enterprises has a great importance and can bring a lot of benefits. Each optimization of the manufacturing and logistics proces should be analyzed, adapted to needs of the given enterprise and successively implemented. The article describes proposals to improve the manufacturing and Logistics process in researched enterprise, through identification of functional problems. In addition, indicates important possible benefits, resulting from the use of tools, systems and techniques to optimize production and logistics areas in the organization.W warunkach współczesnego rynku proces produkcji i logistyki musi mieć charakter wielowymiarowy i wielokryterialny. Działania związane z produkcją i logistyką są ze sobą ściśle powiązane. Doskonalenie procesu produkcji i obszarów logistyki w przedsiębiorstwach ma ogromne znaczenie i może przynieść wiele korzyści. Każda optymalizacja procesu produkcji i logistyki powinna być przeanalizowana, dostosowana do potrzeb danego przedsiębiorstwa i sukcesywnie wdrażana. Niniejszy artykuł przedstawia propozycje doskonalenia procesu produkcji i logistyki w badanym przedsiębiorstwie, poprzez identyfikację problemów funkcjonalnych. Ponadto wskazuje istotne możliwe do uzyskania korzyści, wynikające z zastosowania narzędzi, systemów i technik optymalizujących obszary produkcji i logistyki w organizacji

Optimization of Complex Operations in the Supply Chain Through the Implementation of Advanced Planning System

Contemporary variability of the environment and market dynamics force enterprises to optimize operations in the supply chain. Advanced IT systems such as the Advanced Planning System are a powerful tool that supports many areas in supply chain management. An efficient supply chain is a key element in gaining a competitive advantage in the market. Therefore, the foundation of the material and information flow regulation in manufacturing enterprises is the efficient exchange of information with both the internal and external environment of the organization. The article presents the optimization process of complex operations taking place in the supply chain by implementing the Advanced Planning System in the examined enterprise. It also enumerates significant benefits resulting from the implementation

Logistics chain management in the grain storage systems

W każdym procesie działalności gospodarczej przedsiębiorstw występują procesy technologiczne, a magazyn i związane z nim czynności są nieodłącznym atrybutem procesu logistycznego. Zarządzanie łańcuchem logistycznym to wielowymiarowe działania obejmujące procesy informacyjno-decyzyjne oraz procesy wykorzystujące wiedzę właściwych instrumentów kierowania i kontroli na poziomie strategicznym i operacyjnym. Odpowiednie podejście do analizy zarządzania logistycznego w rozwiązywaniu problemów obejmujących gospodarkę magazynową w przedsiębiorstwach wymaga rozpoznania wagi problemów i określenia przyczyn ich powstania. Przedmiotem analizy i oceny w opracowaniu są systemy magazynowania zbóż jako kluczowe ogniwa logistycznych łańcuchów dostaw w przemyśle zbożowym. Nowoczesne, wydajne, jak również zrównoważone łańcuchy logistyczne mają ogromne znaczenie gospodarcze w magazynowaniu przemysłowym. W artykule przedstawiono nowe zrównoważone rozwiązania dotyczące procesu planowania oraz kontroli działań, mających na celu magazynowanie zbóż. Opisane innowacyjne rozwiązanie przyczynia się przede wszystkim do zapewnienia ciągłości funkcjonowania magazynu w sytuacjach awaryjnych oraz pozwala minimalizować kolejki przy skupie zbóż. Ponadto rozwiązanie to wskazuje na niską energochłonność, niskie koszty eksploatacyjne, wysoką wydajność, proekologiczność oraz odporność na awarie. Celem opracowania jest analiza i ocena procesu planowania oraz kontroli działań mających na celu magazynowanie zbóż i opłacalny ekonomicznie przepływ zbóż. Autorki dokonały analizy bieżącej sytuacji w przemyśle zbożowym oraz zaproponowały nową możliwość suszenia zbóż w postaci autorskiej metody alternatywnej, pozwalającej na usprawnienie logistyki przy skupach zbóż oraz zapewniającej ciągłość funkcjonowania magazynu w sytuacjach awaryjnych.In every business process of enterprises, there are technological processes, and the warehouse and related activities are an inherent attribute of the logistics process. Logistics chain management is a multidimensional activity involving information and decision-making processes and processes using the knowledge of appropriate instruments of direction and control at the strategic and operational levels. Appropriate approach to the analysis of logistics management in solving problems involving storage management in enterprises requires recognition of the importance of problems and identification of their causes. The subject of analysis and evaluation in this study are grain storage systems as key links of logistic supply chains in the grain industry. Modern, efficient as well as sustainable logistics chains are of great economic importance in industrial storage. The paper presents a new sustainable solution for the planning process and control of grain storage activities. The described innovative solution contributes primarily to the continuity of warehouse operation in emergency situations and minimizes queues at the purchase of cereals. Moreover, this solution indicates low energy consumption, low operating costs, high efficiency, pro-environmental character and resistance to failures. The aim of this paper is to analyze and evaluate the process of planning and controlling activities for grain storage and economically viable grain flow. The authors analyzed the current situation in the grain industry and proposed organizational improvements in the form of the author's alternative method, which minimizes the queues at grain purchases and ensures continuity of storage operation in emergency situations

Digital Stereotypes in HMI&mdash;The Influence of Feature Quantity Distribution in Deep Learning Models Training

This paper proposes a concept of Digital Stereotypes, observed during research on quantitative overrepresentation of one class over others, and its impact on the results of the training of Deep Learning models. The real-life observed data classes are rarely of the same size, and the intuition of presenting multiple examples of one class and then showing a few counterexamples may be very misleading in multimodal classification. Deep Learning models, when taught with overrepresentation, may produce incorrect inferring results, similar to stereotypes. The generic idea of stereotypes seems to be helpful for categorisation from the training point of view, but it has a negative influence on the inferring result. Authors evaluate a large dataset in various scenarios: overrepresentation of one or two classes, underrepresentation of some classes, and same-size (trimmed) classes. The presented research can be applied to any multiclassification applications, but it may be especially important in AI, where the classification, uncertainty and building new knowledge overlap. This paper presents specific &rsquo;decreases in accuracy&rsquo; observed within multiclassification of unleveled datasets. The &rsquo;decreases in accuracy&rsquo;, named by the authors &rsquo;stereotypes&rsquo;, can also bring an inspiring insight into other fields and applications, not only multimodal sentiment analysis

Sustainable Agro-Biomass Market for Urban Heating Using Centralized District Heating System

The importance of biomass for energy production is included in the government program “Energy Policy of Poland until 2040”. Biomass is one of the most stable renewable energy sources (RES), and its resources are the largest of all alternative energy sources. The paper presents and discusses the most important conditions that are related to the possible usage of the biomass that is obtained from agriculture for heating purposes. The aim of the study is to assess the energy potential of a selected agro-biomass and to indicate its effective use for the production of district heat. The research uses: in-depth statistical data analysis (data were obtained from the Central Statistical Office and the Agency for Restructuring and Modernization of Agriculture), inference methods, short- and long-term forecasting, the minimum spanning tree (MST) algorithm, and methods of single- and multi-criteria optimization for the selection of the most advantageous variant. The research covers three different scenarios: optimistic, moderate, and pessimistic. The results of the study present: technical and energy potential of biomass, taking into account its type, energy properties, and places of its collection; optimum location of intermediate storage and processing sites; and the optimum storage frequency of its transport to energy companies

Influence of telematics solutions on improving the functioning of enterprises

Rozwiązania telematyczne umożliwiają poprawę wyników finansowych i znacznie zwiększają efektywność firm transportowych. Korzyści te wynikają z wielu czynników, takich jak poprawa bezpieczeństwa jazdy, monitorowanie trasy przejazdu i/lub redukcja kosztów paliwa. Dzięki różnorodności urządzeń telematycznych firmy mogą wybierać spośród szerokiej gamy rozwiązań dostosowanych do ich potrzeb. Niestety w wielu firmach transportowych poziom wiedzy na temat telematyki jest bardzo niski, co z kolei może przekładać się na wyniki finansowe. Celem artykułu jest analiza wpływu rozwiązań telematycznych na poprawę wyników finansowych przedsiębiorstw oraz zweryfikowanie poziomu wiedzy pracowników firm transportowych o narzędziach telematycznych i zaproponowanie możliwych działań, które firmy transportowe powinny podjąć w celu zapewnienia właściwego funkcjonowania systemu transportowego. Do weryfikacji celu wykorzystano następujące narzędzia badawcze: porównania, uogólnienia i ankietę przeprowadzoną wśród pracowników firm transportowych. Ponadto przeprowadzono bezpośrednie wywiady z kierownictwem firm transportowych.Telematics solutions allow to improve financial results and significantly increase the efficiency of transport companies. These benefits come from many factors, such as improving driving safety, monitoring the driver's route or reducing fuel costs. Thanks to the variety of telematics devices, companies can choose from a wide range of solutions tailored to their needs. Unfortunately, in many transport companies the knowledge of telematics is very low, which in turn translates into unfavourable financial results. The aim of the article is to show the impact of telematics solutions on the improvement of financial results of enterprises. In addition, it is to verify the knowledge of transport company employees about telematics tools and propose specific actions that transport companies should take to ensure proper functioning of the transport system. To verify the objective, the following research tools were used: comparisons, generalizations and a survey conducted among the employees of transport companies. In addition, direct interviews were conducted with the transport company management

Implementation of a Hybrid Intelligence System Enabling the Effectiveness Assessment of Interaction Channels Use in HMI

The article presents a novel idea of Interaction Quality Sensor (IQS), introduced in the complete solution of Hybrid INTelligence (HINT) architecture for intelligent control systems. The proposed system is designed to use and prioritize multiple information channels (speech, images, videos) in order to optimize the information flow efficiency of interaction in HMI systems. The proposed architecture is implemented and validated in a real-world application of training unskilled workers—new employees (with lower competencies and/or a language barrier). With the help of the HINT system, the man–machine communication information channels are deliberately chosen based on IQS readouts to enable an untrained, inexperienced, foreign employee candidate to become a good worker, while not requiring the presence of either an interpreter or an expert during training. The proposed implementation is in line with the labor market trend, which displays significant fluctuations. The HINT system is designed to activate human resources and support organizations/enterprises in the effective assimilation of employees to the tasks performed on the production assembly line. The market need of solving this noticeable problem was caused by a large migration of employees within (and between) enterprises. The research results presented in the work show significant benefits of the methods used, while supporting multilingualism and optimizing the preselection of information channels

A Panel of CA19-9, Ca125, and Ca15-3 as the Enhanced Test for the Differential Diagnosis of the Pancreatic Lesion

Background. Proper diagnosis of pancreatic lesion etiology is a challenging clinical dilemma. Studies suggest that surgery for suspected pancreatic ductal adenocarcinoma (PDAC) reveals a benign lesion in 5% to 13% of cases. The aim of our study was to assess whether routinely used biomarkers such as CA19-9, Ca125, Ca15-3, and CEA, when combined, can potentially yield an accurate test predicting pancreatic lesion etiology. Methods. We retrospectively analyzed data of 326 patients who underwent a diagnostic process due to pancreatic lesions of unknown etiology. Results. We found statistically significant differences in mean levels of all biomarkers. In logistic regression model, we applied levels CA19-9, Ca125, and Ca15-3 as variables. Two validation methods were used, namely, random data split into training and validation groups and bootstrapping. Afterward, we built ROC curve using the model that we had created, reaching AUC = 0,801. With an optimal cut-off point, it achieved specificity of 81,2% and sensitivity of 63,10%. Our proposed model has superior diagnostic accuracy to both CA19-9 (p = 0,0194) and CA125 (p = 0,0026). Conclusion. We propose a test that is superior to CA19-9 in a differential diagnosis of pancreatic lesion etiology. Although our test fails to reach exceptionally high accuracy, its feasibility and cost-effectiveness make it clinically useful