This paper presents a thematic synthesis of panel discussions held during Malaysia Maritime Week 2025, a national platform convened to address the evolving challenges in maritime transformation. Using a thematic analysis approach, the study discovered four interdependent themes namely People, Technology, Policy and Regulation, and Collaboration and Ecosystem, each explored through multiple subthemes that reflect both empirical insights and normative direction. The findings reveal a sector in transition, digitalization, decarbonization, and workforce realignment, while striving to embed psychological safety, inclusive training, equitable compliance, and regional cooperation are at the heart of maritime governance. This paper contributes to the evidence base for policy reform, strategic innovation, and shared talent development, offering a roadmap for maritime stakeholders to co-author a resilient and sustainable future.
Information technology disruption has spread to the global shipping industry, including its application in ports. The purpose of this study is to measure the readiness of port management organizations in Indonesia to face this disruption, as seen from the aspects of individual employees and financial aspects influenced by the level of IT use. The study was conducted using a quantitative approach involving 65 port managers through a survey, followed by model measurement using Partial Least Squares-Structural Equation Modeling (PLS-SEM) and critical interval measurement. The results of the study indicate that individual readiness and financial readiness have an effect on organizational readiness in facing IT disruption, with strong intervention from the level of IT use within the organization. In addition to measuring the effects on organizational readiness, this study categorizes the level of readiness of each variable of individual readiness, financial readiness, and organizational readiness. The findings of this study indicate that although the organizational readiness of the Port is categorized as good, it is still at the lower threshold. Therefore, it is necessary to improve readiness in several indicators and variables that still have sufficient values, namely the employee competency readiness variable and organizational financial readiness.
The rapid transformation of the maritime industry, driven by technological advancements, digitalisation, and evolving regulatory frameworks, has created an urgent need to modernise maritime Technical and Vocational Education and Training (TVET). This review examines the current landscape, innovations, and challenges in maritime TVET by analysing a broad range of recent academic and institutional literature. The study identifies key areas of focus, including curriculum relevance, simulation-based and digital learning, competency-based education, and strong industry-academic collaboration. It highlights the importance of integrating emerging technologies such as e-learning, virtual reality, and smart glass to meet industry standards and prepare graduates for dynamic maritime careers. Additionally, it emphasises the necessity of expanding access to TVET pathways, upgrading instructor competencies, and aligning national policy with practical workforce demands. The findings underscore that a flexible, responsive, and industry-aligned TVET system, supported by sustainable funding, global collaboration, and policy reform, is essential for developing a future-ready maritime workforce capable of supporting sustainable growth.
The research focuses on the process and criteria utilised by cruise executives for ship deployment and itinerary development. A Summative Content analysis approach is applied on 63 interviews of 89 cruise executives between 2005 and 2018 sourced from commercial press. The results of the analysis indicate that cruise lines focus on yield maximisation through a stepwise process that starts with the evaluation of cruise demand for an area, followed by an analysis of the region(s) and is completed with the selection of the home port(s) and ports of calls. The process is continuously revised based on actual demand, yield results and guest feedback. Moreover, the research provides an organisation of the parameters identified as important decision drivers.
The paper focuses on the problem of change in construction technology in the refurbishment of historic buildings, as well as the additional works not provided in the specifications. The result of the study is a summary of the main disruptions and their consequences in the form of delays and cost increases in the project. The case study analysis highlights the need to develop appropriate procedures responding to disruptions.
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W artykule omówiono zmianę technologii wykonania robót budowlanych podczas remontów obiektów zabytkowych, a także prace dodatkowe nieprzewidziane w przedmiarach. Rezultatem opracowania jest zestawienie głównych zakłóceń oraz ich konsekwencji w postaci opóźnień oraz zwiększenia kosztów planowanych w projekcie. Przeprowadzona analiza zwraca uwagę na konieczność wypracowania odpowiednich procedur postępowania w przypadku wystąpienia zakłóceń.
Due to the rapid development of civilization, more and more people use private cars to quickly reach their destination, which is mainly work or school. For this reason, the phenomenon of transport congestion often occurs on the roads. Road congestion has several negative effects on economic productivity, environmental quality, and safety, including deterioration of safety conditions, higher fuel consumption, increased air pollution, and an increase in the cost of goods and services. In order to minimize the effects of transport congestion in cities, a number of actions are taken. One of such action, which was taken in the Górnośląska-Zagłębiowska Metropolis, was the increase of the Paid Parking Zone in Katowice (Poland). The aim of the article is to determine the most advantageous way of commuting to the workplace in Katowice from one of the cities of the Górnośląska-Zagłębiowska Metropolis after the extension of the area of operation of the Paid Parking Zone in Katowice. The AHP multi-criteria decision suport method was used for this purpose. The best variant of the choice of means of transport for commuting to the workplace in the functioning of the Paid Parking Zone in Katowice was assessed in terms of the following factors: travel time, travel cost, availability, and number of transfers. Five travel variants were analyzed, of which the most advantageous was the variant using a passenger car and an electric scooter.
Purpose: The aim of the article is to review the level of advancement of linked open data (LOD) concept in public institutions, based on the example of Lower Silesia (Poland) organizations. Moreover, this paper considers the level of advancement of Lower Silesia institutions on the famous Tim Berners Lee’s scale and compares the obtained results. Design/methodology/approach: case study of important public institutions of Lower Silesia region, and the assessment of LOD concept advancement, based on 5-star Tim Berners Lee’s scale an short expert interviews. Findings: We can observe considerable interest and willingness to create a network of linked open data, which is visible in the growth of the number of data sets and the ever-expanding structure of the LOD cloud. Implementation of LOD in public institutions can be really helpful in management and decision-making processes. Public entities in Lower Silesia (Poland) should continue to develop their network to reach the highest level of advancement of LOD concept, especially in the context of integration with other data sets. Research limitations/implications: The limitation of the research was the fact that not all public institutions are still familiar with the concept of linked open data, or do not use it to its full extent. Practical implications: In the context of public institutions, LOD can play a key role in improving transparency, efficiency, and data-driven decision-making. Users can freely access information that is crucial to them and use it for interesting social or commercial projects, as well as individual ones. Social implications: The practical implementation of LOD is also related to its social impact, everything depends on the type of data that is made available to users. Very often, they are related to administration, public transport, budget management of smaller and larger communities or health care, what can really contribute to improving the quality of life. Originality/value: For the first time, the level of advancement of the linked open data concept in Polish public institutions was evaluated, which may improve the results in institutions already using this idea but also encourage them to develop the network of linked data resources. Keywords:
Purpose: The purpose of this paper is to comprehensively assess the level of skills acquired by school leavers, particularly in the areas of decision making, making decisions under conditions of uncertainty and risk, taking responsibility for one’s decisions, making choices, setting goals, striving to achieve them and solving problems. The paper presents the results of a survey that have allowed us to determine the extent to which the pupils have acquired these skills during their education, according to the teachers who assess their development in these areas at different stages of their education. Design/methodology/approach: In order to achieve this purpose, a quantitative method was used, based on a survey of 1472 primary and post-primary school teachers employed by educational institutions, including primary schools, vocational schools, high schools and technical secondary schools, located in one of 16 regions of Poland - the Kuyavia-Pomerania Province. Findings: The findings of the conducted research indicate that the level of decision-making, goal-setting and goal-achieving as well as problem-solving skills among school leavers is most often assessed by teachers as average, which is dominant in all types of schools. Detailed analysis shows that better results in development of these skills are observed in high schools and vocational schools rather than among primary school and technical secondary school pupils. Extreme scores, both very high and very low, were rare in all types of schools. Research limitations/implications: The survey was conducted among teachers from schools in the Kuyavia-Pomerania Province, making the results obtained representative for this region of Poland. At the same time, these results cannot be generalized to pupils from other provinces. Therefore, any conclusions apply exclusively to the surveyed group and region and their usage in a wider context may be limited. Practical implications: The results of this study can provide valuable insights into the level of decision-making skills of school leavers in the Kuyavia and Pomerania region, which can help to adapt teaching methods to their developmental needs in this area. Originality/value: This study can make an important contribution to the discussion on developing decision-making skills in the educational process of pupils at various stages of their education.
This work focuses on life cycle cost (LCC) analysis in the German natural gas infrastructure and recommends strategies to mitigate the uncertainties and risks involved using Monte Carlo simulation (MCS). It deals with the impact of input data and predicting the future development of input data on the results of the LCC analysis and discusses MCS for risk mitigation. Seven case studies for investments in Germany’s natural gas infrastructure are analyzed. In addition to the executed case studies, a case study from a scientific journal is included. The case studies were conducted between 2005 and 2015. Evaluation with real historical input data shows that the results of an LCC analysis depend on the reliability of input data and predictions on their development. The retrospective view shows that the best options are not always identified. Therefore, the results need to be validated using risk-mitigation methods, such as MCS. The executed case studies reflect the opinions of experts. This work shows how risk is mitigated through MCS while focusing on LCC analysis in the German natural gas infrastructure; however, the proposed risk mitigation with MCS can be adopted for other investment projects comprising capital expenditure (CAPEX) and operational expenditure (OPEX), for example, in construction, machines and other fields.
The integration of Artificial Intelligence (AI) is rapidly changing how leadership and decision-making work in organizations today. AI's emergence has created a need to rethink traditional ways of leading. Leaders now face the challenge of incorporating AI tools into their decision-making, which affects corporate strategies and how well they operate. However, while this combination of leadership and AI calls for adaptive strategies, it also raises worries about possible decision-making mistakes. To handle these challenges well, organizations should develop a strong understanding of how leadership styles affect decision-making when faced with the pressures of AI. To understand this relationship, our study considered key aspects like organizational climate and emotional intelligence, which are vital for long-term change.
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Integracja sztucznej inteligencji (AI) szybko zmienia sposób sprawowania przywództwa i podejmowania decyzji w dzisiejszych organizacjach. Pojawienie się AI spowodowało konieczność ponownego przemyślenia tradycyjnych sposobów kierowania. Liderzy stoją obecnie przed wyzwaniem włączenia narzędzi AI do procesu podejmowania decyzji, co ma wpływ na strategie korporacyjne i skuteczność działania. Jednak połączenie przywództwa i AI wymaga strategii adaptacyjnych, a jednocześnie budzi obawy dotyczące możliwych błędów w podejmowaniu decyzji. Aby dobrze sprostać tym wyzwaniom, organizacje powinny dogłębnie zrozumieć, w jaki sposób style przywództwa wpływają na procesy decyzyjne w obliczu presji wywieranej przez AI. Aby zrozumieć tę zależność, w naszym badaniu uwzględniliśmy kluczowe aspekty, takie jak klimat organizacyjny i inteligencja emocjonalna, które mają kluczowe znaczenie dla długoterminowych zmian.
Artificial Intelligence (AI) has recently gained significant traction in the oil and gas manufac turing sector. This study focuses specifically on the oil and gas manufacturing sector. As a key technology, AI has the potential to revolutionize smart manufacturing and the fourth industrial revolution (Industry 4.0). Product Lifecycle Management (PLM) is integral in managing engineering, business, and operational processes for products throughout their lifecycle. By leveraging AI, companies can enhance decision-making processes that align with economic and environmental considerations. This study investigates AI’s role in the design phase of PLM within the oil and gas sector. The objective is to evaluate AI’s benefits in design optimization and its influence on decision-making. A Delphi-based survey was conducted among 62 experts from multinational oil and gas firms. The findings indicate that AI significantly improves design efficiency, visualization, and prototyping. However, the study highlights integration challenges, data security concerns, and limitations in current industrial communication proto cols. Further research should explore AI’s role in the remaining PLM phases and its integration with existing IT infrastructures. Future research should extend to the remaining phases of PLM not covered in this study and address limitations such as integration with existing IT systems and improvements in industrial communication protocols.
The purpose of this work is to present a concept of a methodology in the area of Attribute Agreement Analysis. The study was conducted using the process control of decorative paper (laminate) for furniture applications. The specificity of decorative paper quality control inspired the authors to propose a modification of the classical cross-tabulation method with the Cohen's Kappa coefficient, enabling the consideration of a multi-variant reference standard (mvREF). The results show that the proposed approach can solve the problem of the necessity of using the multi-variant reference standard (mvREF). To illustrate the proposed approach, a numerical example is used. The results demonstrate that the proposed approach is useful for Attribute Agreement Analysis.
When formulating multi-criteria optimisation tasks, there are two important problems to consider. The first is the selection of a number of sub-criteria such that their importance, number, and order correspond to the modelled decision-making situation, while the second is the choice of the solution method to ensure its optimality with respect to individual sub-criteria. Therefore, the solution boils down to the search for a certain compromise that takes into account the influence of individual sub-criteria on the obtained result. For these reasons, the article presents conditions for selecting the number of sub-criteria, yielding conditions of completeness, consistency, and nonredundancy that the adopted vector criterion must satisfy, as well as conditions for selecting a compromise solution to ensure the utility of all sub-criteria and a lower limit of the maximum value of the individual loss. Using the formulated conditions, a vector quality criterion was selected and a compromise solution was chosen for the task of controlling a ship in a collision situation. The method proposed in the paper can be useful for modelling any decision situation, especially in systems where the task can be solved using the ideal-point method.
A cutting-edge construction method called fitted construction allows for several parallel lines of work to speed up construction and enhance building quality. However, achieving optimal project decisions for global construction projects demands a high level of objective decision-making. To enhance the decision-making process, this research utilizes particle swarm algorithms to optimize construction project decisions in assembled buildings. To tackle the issue of early convergence in particle swarm algorithms, three swarm enhanced particle swarm algorithms are proposed by merging the variational mechanism of the differential evolution algorithm and quantifying the decision making tasks for assembly building construction projects to be solved by the enhanced particle swarm algorithm. Regarding the research results, the upgraded particle swarm algorithm achieved a fundamental convergence in 20 iterations whilst resolving the Sphere, Rosebrock, Rastrigin, and Griewank functions. The improved particle swarm algorithm converges to an optimal solution of -19.208 within 20 iterations on the Holder function, with an optimal domain of [8.055, -9.665]. The results of the optimization study for the decision-making problem of the assembly building project demonstrate that implementing Sigmoid smoothing yields a minimum duration problem of 0.755 and a minimum duration of 45 days. The optimal cost and time required to solve the problem of economic maximisation strategy using the enhanced particle swarm method are 500,000 and 52 days, respectively. The results indicate that the improved particle swarm approach outperforms conventional algorithms in the decision-making process for assembly building projects, maintaining computational accuracy throughout.
The rapid development of digital technologies has transformed healthcare systems around the world, and telemedicine has become the primary solution to problems related to the availability and quality of medical care. This study examines the adoption of telemedicine in five Central Asian countries - Kazakhstan, Kyrgyzstan, Uzbekistan, Tajikistan, and Turkmenistan - by modeling the relationship between key medical, demographic, and technological factors and the number of telemedicine users. To identify the factors that contribute to telemedicine adoption, a dataset of epidemiological, demographic, and digital infrastructure indicators was analyzed. For the analysis, data from the National Statistical Office of the Republic of Kazakhstan (2014-2024) were used. To predict the number of telemedicine users, an artificial neural network (ANN) was used, which has a shallow network structure with four input neurons representing the main predictors and one output neuron for potential telemedicine users. The predictive model showed excellent accuracy, as evidenced by a very strong correlation between predicted and observed values (R = 0.99245). In addition, the reliability of the model is confirmed by its low error rates, with a mean squared error (MSE) of 0.007 and a root mean squared error (RMSE) of 0.0839. These findings underscore the transformative potential of telemedicine to address health challenges in Central Asia, while providing valuable insights into the epidemiological, demographic, and technological drivers that can guide targeted policy initiatives and strategic investments in digital infrastructure.
Purpose: The objective of this study is to present the contemporary response options of civilian medical rescue and healthcare systems to the effects of weapons of mass destruction weapons and civilian toxic agents with mass impact potential. The study also demonstrated the preparation and response potential of medical services with proper additional equipment, training and implementation of new systemic solutions to enable the collaboration and cooperation of military and civilian services. Introduction: The complicated international situation and increased risk of armed conflict require increasing the preparation level and response capability of medical services to the health effects of weapons of mass destruction. One aspect of preparations is increasing the response potential of medical rescue and healthcare systems in the area of rescue and treatment of CBRNE (Chemical, Biological, Radiological, Nuclear and Explosive) incident victims. Methodology: The authors described the gaps in medical rescue and healthcare systems and presented the options and methods to elevate the preparation and response level in the two fields of medicine. Conclusions: Based on the results of four-year research and conceptual works completed under the project “Strengthening CBRNE Safety and Security — Coordination and Standardisation”, as part of Norway Grants for 2014–2021, a new medical rescue and healthcare functioning model was developed based on the potential of the latest technical solutions, resources and security management systems. In their work, the authors focused on presenting the concepts of CBRNEmed specialised teams, applying new solutions on using protective suits and respiratory protection equipment, innovative methods of decontamination of contaminated patients, options of point-of-care testing and identification of hazardous agents (POCT-CBRNE), isolation and transport of contaminated and highly infective patients and new CBRNE triage methods. In the publication, they demonstrated the compatibility of the developed solutions with the tactics, equipment and command system operating in the armed forces of NATO member states. The implementation of the developed solutions will enable effective military-civilian collaboration in the elimination of the health effects of weapons of mass destruction.
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Cel: Celem publikacji jest przedstawienie współczesnych możliwości reagowania cywilnych służb ratownictwa medycznego i systemu ochrony zdrowia na skutki użycia broni masowego rażenia i cywilnych środków toksycznych o masowym potencjale oddziaływania. W publikacji wykazano możliwości tkwiące w obszarach przygotowania i reagowania służb medycznych przy odpowiednim doposażeniu, wyszkoleniu i wprowadzeniu nowych rozwiązań systemowych, pozwalających na współpracę i współdziałanie wojskowo-cywilne. Wprowadzenie: Skomplikowana sytuacja międzynarodowa i wzrost zagrożenia konfliktem zbrojnym, wymaga podniesienia poziomu przygotowania i zdolności do odpowiedzi służb medycznych na skutki zdrowotne wykorzystania broni masowego rażenia. Jednym z elementów przygotowań jest wzrost potencjału reagowania systemu ratownictwa medycznego i systemu ochrony zdrowia w obszarze ratowania i leczenia ofiar zdarzenia CBRNE (tzw. czynników chemicznych, biologicznych, radiologicznych, nuklearnych i materiałów wybuchowych). Metodologia: Autorzy opisali luki w systemie ratownictwa medycznego i systemie ochrony zdrowia oraz przedstawili możliwości i sposoby podniesienia poziomu przygotowania i reagowania obu obszarów medycyny. Wnioski: Na podstawie wyników czteroletnich badań i prac koncepcyjnych, realizowanych w zakresie zadań projektu pn. „Wzmocnienie bezpieczeństwa w zakresie CBRNE – koordynacja i standaryzacja”, w ramach Funduszy Norweskich na lata 2014–2021, wypracowano nowy model funkcjonowania ratownictwa medycznego i ochrony zdrowia w oparciu o możliwości wykorzystania najnowszych rozwiązań technicznych, systemów zarządzania zasobami i bezpieczeństwem. W swojej pracy autorzy skupili się na przedstawieniu koncepcji specjalistycznych zespołów CBRNEmed, wykorzystania nowych rozwiązań w zakresie stosowania kombinezonów ochronnych i środków ochrony dróg oddechowych, nowatorskich technik dekontaminacji skażonych pacjentów, możliwościach przyłóżkowej detekcji i identyfikacji czynników niebezpiecznych (POCT-CBRNE), izolacji i transportu skażonych i wysoce zakaźnych pacjentów, oraz nowych metodach triage’u CBRNE. W publikacji wykazali kompatybilność wypracowanych rozwiązań z taktyką, wyposażeniem i systemem dowodzenia funkcjonującym w siłach zbrojnych krajów członkowskich NATO. Wdrożenie wypracowanych rozwiązań pozwoli na podjęcie efektywnej wojskowo-cywilnej współpracy przy likwidacji skutków zdrowotnych użycia broni masowego rażenia.
Multi-objective optimization (MOO) considers several objectives to find a feasible set of solutions. Selecting a solution from Pareto frontier (PF) solutions requires further effort. This work proposes a new classification procedure that fits into the analytic hierarchy Process (AHP) to pick the best solution. The method classifies PF solutions using pairwise comparison matrices for each objective. Sectorization is the problem of splitting a region into smaller sectors based on multiple objectives. The efficacy of the proposed method is tested in such problems using our instances and real data from a Portuguese delivery company. A non-dominated sorting genetic algorithm (NSGA-II) is used to obtain PF solutions based on three objectives. The proposed method rapidly selects an appropriate solution. The method was assessed by comparing it with a method based on a weighted composite single-objective function.
The ranking of a set of objects defined by a single data set may vary due to differences in multi-criteria decision-making (MCDM) procedures. One of these procedural differences is normalization, which is an important step in data analysis and MCDM methods. In terms of demonstrating the impact of the normalization process on the results, this study aims to compare MCDM methods with a linear normalization process. This study works on eight ranking methods (WASPAS, SECA, SAW, OWA, CODAS, MARCOS, PSI, and WPM), and three weighting methods (Entropy, EW, LOPCOW) based on three reallife applications. The study primarily explains the differences in rankings by the MCDM methods. Additionally, it is also important to demonstrate the impact of different weights on the results. The study found that the MCDM rankings obtained with the same normalization process differed, and it also observed that different criterion weights had an impact on the ranking results. This study contributes to the literature as it is the first to compare MCDM methods using linear normalization processes based on real-life applications.
Zarządzanie projektami inwestycyjnymi jest złożonym procesem, wymagającym skrupulatnego planowania, monitorowania i podejmowania decyzji. Jednym z głównych czynników, które wpływają na skuteczność projektu inwestycyjnego jest ryzyko. W tym opracowaniu chciałbym zauważyć, jak ryzyko może wpływać na projekty inwestycyjne oraz jakie strategie można zastosować w celu skutecznego zarządzania ryzykiem.
The repair and restoration work implemented in inactive well stocks has led to the resolution of clustering issues based on their purpose. It has been determined that in case of clusters of accident-prone wells, the implementation of repair and restoration works and their return to the operational fund, must be carried out based on economic and technical efficiency. The corresponding analysis revealed that clusters characterizing the accident rates include issues with downhole pipes, downhole motors, tools and devices, packers, bottom hole drill pipes, cables, ropes, wires, and others types of accidents. This paper presents the accumulated results of realized RRW (repair restoration works) based on field experience for formalization and automation in developing decision-making technologies and selecting accident elimination strategy in appropriate field conditions. Various technologies have been developed for the elimination process, using appropriate equipment. Repair and restoration work for corresponding codes is proposed based on field statistical information. The economic feasibility of the obtained results and their application are classified on the basis of boundary conditions defined by developed logical stages. The logical stages are drawn up using information about field parameters, including well conditions, the location of the accident object in the well, realized technology, and appropriate technical means. As a result of the analysis of SOCAR (State Oil Company of Azerbaijan Republic) fund of accident-prone wells, 24 possible options for the implementation of RRW have been identified for the aforementioned clusters. Lists of the existing tool park, functional design parameters, and technological modes necessary for each accident cluster have been determined to implement decision-making technologies.
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Prace naprawcze i rekonstrukcyjne prowadzane w nieaktywnych odwiertach eksploatacyjnych pozwoliły rozwiązać problem grupowania odwiertów w zależności od ich przeznaczenia. Ustalono, że w przypadku klastrów odwiertów narażonych na uszkodzenia, realizacja prac naprawczych i rekonstrukcyjnych oraz ich powrót do eksploatacji musi odbywać się w oparciu o efektywność ekonomiczną i techniczną. Przeprowadzona analiza wykazała, że klastry odznaczające się wysokim wskaźnikiem awaryjności obejmują awarie rur wiertniczych, silników wgłębnych, narzędzi i urządzeń, pakerów, rur wydobywczych, kabli, lin, przewodów oraz inne rodzaje awarii. Niniejszy artykuł przedstawia zgromadzone wyniki prac naprawczych i rekonstrukcyjnych w oparciu o doświadczenia terenowe, w celu formalizacji i automatyzacji opracowywania technologii decyzyjnych i wyboru strategii eliminacji awarii w odpowiednich warunkach terenowych. Opracowano różne technologie procesu eliminacji, przy użyciu odpowiedniego sprzętu. Prace naprawcze i rekonstrukcyjne wraz z odpowiadającymi im kodami zostały zaproponowane w oparciu o dane statystyczne z terenu. Możliwość wdrożenia uzyskanych wyników z ekonomicznego punktu widzenia i ich zastosowanie są klasyfikowane na podstawie warunków brzegowych określonych przez opracowane etapy logiczne. Etapy logiczne są opracowywane z wykorzystaniem informacji o parametrach terenowych, w tym warunkach odwiertu, lokalizacji obiektu podatnego na awarie w odwiercie, wdrożonej technologii i odpowiednich środkach technicznych. W wyniku analizy zestawu odwiertów SOCAR (State Oil Company of Azerbaijan Republic) podatnych na awarie zidentyfikowano 24 możliwe opcje wdrożenia prac naprawczych i rekonstrukcyjnych dla wyżej wymienionych klastrów. W celu wdrożenia technologii decyzyjnych określono listy istniejącego parku narzędzi, funkcjonalne parametry projektowe i tryby technologiczne niezbędne dla każdego klastra awarii.
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