Accelerating digital and intelligent transformation is a crucial measure for oil and gas enterprises to advance industrial transformation and upgrading and foster new productive forces. Sinopec’s upstream sector in China has thoroughly implemented the “Digital and Intelligent Sinopec” initiative, focusing on supporting corporate reform and management. By closely aligning with the development trends of digital and intelligent technologies and the demands of exploration and production operations, the digital and intelligent transformation has been steadily advanced. A group-level Exploration and Development Data Center (EPDC) has been established, aggregating 17.2 PB of various types of exploration and development data, which has enabled centralized data management and shared applications. An Internet of Things network covering oil and gas production sites has been nearly completed, with digital coverage rates for oil, gas, and water wells, and station facilities reaching 94.90% and 92.30%, respectively. This has fundamentally transformed the traditional manual management model of stationing personnel at wells and stations, effectively supporting the reform of production operation modes and labor organization under digital and intelligent conditions. The construction and deepened application of unified systems have been advanced coordinately, continuously improving the digital coverage across all exploration and development business operations. Sinopec has also actively promoted the construction of artificial intelligence (AI) scenarios and their pilot applications, achieving notable results in scenarios such as intelligent seismic processing and interpretation, intelligent rock thin-section identification and analysis, intelligent reservoir numerical simulation, intelligent drilling, intelligent fracturing, and intelligent well condition diagnosis. Looking ahead to the “15th Five-Year Plan”, Sinopec’s upstream sector in China aims to build intelligent oil and gas fields, accelerate the integration of data flow, business flow, value flow, and supervision flow (“four flows in one”), and promote the construction and application of high-value AI scenarios across the entire business chain. These efforts will support the deeper and more substantive integration of digitalization and intellectualization, enhancing the operational efficiency, economic benefits, and management capability of oil and gas exploration, development, and production.
Petroleum refining. Petroleum products, Gas industry
Vavrová Katarína, Šarlina Igor, Kostiuk Yaroslava
et al.
Background: Smart technologies serve as a bridge between strategic business goals and sustainable development, creating a synergy among the economic, environmental, and social dimensions of business and circular urbanism. Purpose: The objective of this paper is to analyse the impact of implementing smart technologies on the economic benefits for an urban centre in a Central European Union state. Studydesign/methodology/approach: The research employs an econometric model to predict financial savings (30%, 40%, and 55%) resulting from the implementation of smart technologies in waste management within a selected urban centre. Findings/conclusions: The predictions confirmed the existence of a positive and growing trend in financial savings across all analysed areas, highlighting the economic benefits of smart technology adoption. Limitations/future research: The limitations of the research consist of inconsistencies in the implementation of smart technologies in waste management across different municipalities within the analysed country. Future research could expand the research sample to multiple urban centres and countries after the introduction of legislation that incentivises the uniform adoption of current smart technologies and the publication of up-to-date implementation data. This would facilitate the development of sustainable strategic plans and decisions that are tailored to both national level and local needs of individual urban centres, offering effective and long-term solutions for sustainable urban development.
Production management. Operations management, Personnel management. Employment management
This study investigates the role of academic advising and mentorship in shaping students’ entrepreneurial career choices, emphasizing their psychological and developmental impacts. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework, a systematic literature review was conducted across Scopus, Web of Science, and Google Scholar to identify relevant peer-reviewed articles, institutional reports, and publications from 2010 to 2025. Thematic analysis revealed that academic advising, when applied holistically, extends beyond course selection and graduation planning to include personal development, networking, and exposure to entrepreneurial ecosystems. Mentorship complements this role by providing real-world insights, professional networks, and role models that build entrepreneurial self-efficacy and resilience. Findings show that self-efficacy is a central determinant of entrepreneurial intention, with advisors and mentors jointly fostering confidence, motivation, and readiness to pursue self-employment. Case evidence indicates that institutions integrating structured mentorship programs within advising achieve higher student engagement and entrepreneurial uptake. Despite these benefits, challenges persist, including inadequate advisor training, limited institutional resources, and underutilization of mentorship opportunities. The study contributes to the literature by demonstrating how the advising–mentorship nexus can serve as an innovative mechanism for embedding entrepreneurship within higher education, particularly by leveraging hybrid delivery models and targeted outreach for underrepresented groups. Policy and practice implications include the need for professional training of advisors, investment in institutional support systems, and the use of digital platforms to expand mentorship access. Strengthening the synergy between academic advising and mentorship can foster an inclusive entrepreneurial ecosystem in higher education, equipping students with the confidence, networks, and skills necessary for sustainable entrepreneurial careers.
Business, Production management. Operations management
Thaise Regina Matos de Morais, Aloísio de Castro Gomes Júnior, Lasara Fabricia Rodrigues
O tempo de resposta de um Sistema Médico de Emergência (SME) é uma métrica preponderante de eficiência, visto que prestar atendimento rápido as vítimas de urgência, determina a minimização de sequelas permanentes ao mesmo tempo que maximiza a taxa de sobrevida do paciente. Neste artigo, propomos um modelo de simulação via otimização, desenvolvido em linguagem Python, capaz de avaliar o desempenho de SME’s. Aplicamos ao método proposto, os dados reais de um SME brasileiro e verificamos, a partir dos resultados obtidos, que configurações estratégicas resultariam na redução de aproximadamente 10% no tempo de resposta médio. Além disso, foi verificada a importância de se considerar outras variáveis de forma conjunta ao número de habitantes, na determinação do número de ambulâncias necessário para se atender as demandas de emergência no serviço pré-hospitalar.
Production management. Operations management, Production capacity. Manufacturing capacity
The article aims to show that reliable IT support was crucial for the survival and sustainability of organisations during the COVID-19 pandemic. The article considers the negative effect of the crisis caused by the COVID-19 pandemic on the organisational sustainability of an organisation (i.e., organisational performance through employee job performance). It explores the role of IT reliability in mitigating such a negative effect. To verify the hypotheses, the empirical studies were performed during the COVID-19 crisis with 1160 organisations operating in Poland, Italy and the USA. The data were analysed using multiple linear regression models with mediators and moderators. The results confirmed that due to the ability to limit the severity of a crisis-induced negative effect on employee job performance (influencing organisational performance), IT reliability could be considered a mitigator for the negative effect of the COVID-19 crisis on the sustainability of organisations. The results indicate that IT reliability should be fostered among organisations operating during the COVID-19 pandemic to maintain sustainability.
B. Parsafar, M. Ahmadi, Gh.R. Jahed Khaniki
et al.
BACKGROUND AND OBJECTIVES: Receiving nutrients from fruits and vegetables are essential for public health. However, a large amount of waste is produced during producing, supplying, and consuming these fruits and vegetables. Water, fertilizers and pesticides used for the production of agricultural products can affect the soil and their cultivation environment and finally lead to environmental pollution. Therefore, this study aimed to investigate the amount of fruit and vegetable waste caused by corruption and evaluate its economic loss and health damage.METHODS: The data were collected using the observation technique aided by observation tools and weighing tests to physically analyze and determine the quantity and quality of waste from Tehran’s fruit and vegetable distribution centers. In each center, the waste obtained from fruits and vegetables was stored in special waste tanks at the end of the day, and the waste was transported to outside the center by special waste disposal vehicles. The economic loss of unusable fruits and vegetables was calculated according to the weight of their waste in the fields of agricultural product supply. The data were analyzed using statistical software SPSS, ANOVA statistical test, and Excel software.FINDINGS: The results revealed that the amounts of fruit and vegetable wastes were 12 percent and 24 percent, respectively, accounting for a total loss of 54,891,539 USD. The highest quantity of fruit waste (15 percent) was observed in summer, and the economic loss due to fruit waste was higher in this season. Also, the amounts of vegetable waste in summer and spring were equal to 28 percent and 24 percent, respectively, indicating the higher economic loss due to vegetable in these seasons.CONCLUSION: The results showed that the economic loss due to vegetable waste was greater than the economic loss due to fruit waste. The amount of vegetable waste was 24 percent, representing a high economic loss. The generation and disposal of these wastes caused a great economic loss and health problems due to their unpleasant odor, release of leachate into the environment, and landfill pollution. Therefore, it was recommended to follow appropriate production principles and supply operations. Moreover, a comprehensive waste disposal management, as a practical measure, should be used to prevent and control these problems. The use of modern technology in harvesting, transporting and supplying fruits and vegetables could reduce their lesion, and subsequently reduce the economic loss.
In this article, we describe representative contributions in several major application areas of data analytics in operations management to summarize the recent development, discuss the common themes, identify the current trends, and speculate the future directions. Certainly, many important contributions have been made in various application areas that are either directly or indirectly related to data analytics, and there are important theoretical developments made by scholars in our field. It is not our intention to provide a complete survey for data‐analytics work in our field. Instead, we focus only on the aspect of data integration in operational decision‐making by describing the most popular applications of data analytics.
Over the last several decades, the amount of international migration has increased dramatically, resulting in enormous cash flows to labour-exporting nations. The importance of remittances in sustaining families in poor nations has been well acknowledged by many researchers but at the same time a well-functioning banking system has been deemed important to increase migrant transfers by lowering prices and improving service availability. Therefore, this study attempts to analyse the role of financial sector development in enhancing the effect of remittances in spurring economic growth. This study uses time series data for the period of 198-2020 to delve into the nexus. Using ARDL approach, this study finds the complementary role of remittances and financial sector in both long run and short run.
Business, Production management. Operations management
Most studies on the effects of tillage operations documented the effects of tillage on losses through surface runoff. On flat areas, the subsurface runoff is the dominating pathway for water, soil and nutrients. This study presents results from a five-year plot study on a flat area measuring surface and subsurface runoff losses. The treatments compared were (A) autumn ploughing with oats, (B) autumn ploughing with winter wheat and (C) spring ploughing with spring barley (n = 3). The results showed that subsurface runoff was the main source for soil (67%), total phosphorus (76%), dissolved reactive phosphorus (75%) and total nitrogen (89%) losses. Through the subsurface pathway, the lowest soil losses occurred from the spring ploughed plots. Losses of total phosphorus through subsurface runoff were also lower from spring ploughing compared to autumn ploughing. Total nitrogen losses were higher from autumn ploughing compared to other treatments. Losses of total nitrogen were more influenced by autumn ploughing than by a nitrogen surplus in production. Single extreme weather events, like the summer drought in 2018 and high precipitation in October 2014 were crucial to the annual soil and nutrient losses. Considering extreme weather events in agricultural management is a necessary prerequisite for successful mitigation of soil and nutrient losses in the future.
Maurice K. Murungi, Dishon M. Muloi, Patrick Muinde
et al.
The Nairobi pork food system is a growing livestock sub-sector which serves as a source of food and livelihood to its inhabitants. The study aimed to map Nairobi's pork value chains, assess their governance, operational challenges and their impacts on food safety risks and management practices. Qualitative data were collected in seven focus group discussions and 10 key informants' interviews on animal movements and product flows, stakeholders' interactions, perceptions on system governance and challenges, and on their potential impact on food safety management. Quantitative data were obtained to show the importance of flows, business operations and market share. Thematic analysis was conducted to identify themes that provide understanding on the governance, challenges and food safety practices in each profile. The predominant chains identified were [1] The “large integrated company” profile which accounted for 83.6% of pork marketed through abattoirs, and was based on a well-structured supply system, with owned farms (representing 50% of their supply), contract farms and semi-contract farms and [2] Local independent abattoirs, accounting for 16.4%, are privately owned small-scale production, supplied mainly (70%) by small farmers from the immediate neighboring areas. The main challenges associated with governance themes included; (i) Inadequate/lack of enforcement of existing regulation (ii) Negative effect of devolution system of governance (iii) Pig traders' dominance (iii) Lack of association at all system nodes, and (iv) Male dominance across the pig system. The main challenges reported included; (i) Lack of capital to upscale (ii) Poor infrastructure (iii) Pig shortage (iv) Excessive regulation (v) Lack of training (vi) Diseases (v) Lack of knowledge (vi) Unfair competition. Food safety themes were associated with (i) Inadequate slaughter facilities forcing traders/farmers to undertake home slaughter (ii) Lack of knowledge on disease management (iii) Lack of training on hygienic practices in the slaughterhouse and (iv) Lack/insufficient capital to purchase equipment's to ensure proper hygiene e.g., boilers. The study provides insights into the structure of the pork system supplying Nairobi, the governance issues important to the stakeholders, challenges and food safety issues. The framework obtained can be used by policy makers and researchers to investigate and develop pork industry and for food safety and disease control programmes.
G. C. López-Torres, J. Garza‐Reyes, Gonzalo Maldonado-Guzmán
et al.
Abstract The purpose of this paper is to examine the effect of Knowledge Management (KM) as a platform to enable sustainability in firms’ operations and to provide recommendations for managers to integrate sustainable operations into their business strategies. The urgency to create and implement sustainable operations is also argued. The conceptual framework is based on the hypothesis that KM contributes to the achievement of more suitable operations. To test this hypothesis, a model of structural equations was developed with data collected from 345 SMEs. Empirical evidence supported the hypothesis, indicating that KM represents an important alternative to implementing sustainability. The results suggest that managers need to implent KM, as they will enable a better understanding and awareness regarding the global dangerous impacts from unsustainable operations mainly focused on sales and cost reduction. For this reason, this research provides evidence that KM offers an alternative impulse on the quest for more sustainable operations.
Rozmus Magdalena, Dobrzaniecki Piotr, Siegmund Michał
et al.
Dynamic development of 3D printing technology contributes to its wide applicability. FDM (Fused Deposition Method) is the most known and popular 3D printing method due to its availability and affordability. It is also usable in design of technical objects – to verify design concepts with use of 3D printed prototypes. The prototypes are produced at lower cost and shorter time comparing to other manufacturing methods and might be used for a number of purposes depending on designed object’s features they reflect. In the article, usability of 3D printing method FDM for designing of technical objects is verified based on sample functional prototypes. Methodology applied to develop these prototypes and their stand tests are covered. General conclusion is that 3D printed prototypes manufactured with FDM method proved to be useful for verifying new concepts within design processes carried out in KOMAG.
Abstract Irrigation supports agricultural production, but widespread use of irrigation can perturb the regional and global water cycle. The one‐way coupled irrigation scheme used in some land surface models and Earth system models assumes that surface water demand is always met and ignores the surface water constraints, leading to overestimation of surface water usage, underestimation of groundwater pumping, and unrealistic simulation of their seasonal variability. To better represent the irrigation processes, a two‐way coupled irrigation scheme is developed within the Energy Exascale Earth System Model (E3SM). The new irrigation scheme simulates irrigation water demand and applies irrigation water in E3SM Land Model (ELM), which is coupled to a river routing model and a water management model (MOSART‐WM) that simulate streamflow, reservoir operations, and irrigation water supply. With two‐way coupling, surface water irrigation is constrained by the available runoff, streamflow, and reservoir storage. Simulations were performed for 1979–2008 at 0.5° spatial resolution to estimate irrigation surface water and groundwater use and their seasonality in global and large river basin scales. Compared to one‐way coupling, the two‐way coupling scheme (1) estimates less surface water withdrawal and less return flow due to the surface water constraint; (2) better represents groundwater recharge and groundwater level decline at global scale; and (3) is able to capture the seasonal dynamics of irrigation water allocations which reflect the local water conditions. The new development is an important step to more realistically account for the interactions between human water use and the terrestrial water cycle in an Earth system model.
Internal logistics is a key element of a production process as it specifies product quality, timeliness and value of orders. The purpose of the research was to determine the amount of non-compliance in the selected production process caused by internal logistics operations. The analysis covers both the quantity and type of non-compliance as well as the cost of non-compliance. One of the basic quality management tools was used in the research - Parteo-Lorenz analysis. An attempt was made to identify potential causes of non-compliance. The significant impact of non-compliance arising in internal logistics operations in production costs was pointed out.
Machine design and drawing, Engineering machinery, tools, and implements
Dzhus Andriy, Rachkevych Ruslan, Andrusyak Andriy
et al.
The development of oil fields at a late stage is characterized by a number of complications that determine the features of the operation of downhole equipment in pumping units. The use of electric-centered pumps in wells with intervals of increased curvature intensity requires a preliminary analysis of the possibility of lowering and operating the equipment at design depths. The aim of research is development of a new approach to evaluation the stress-strain state of pumping equipment, taking into account the features of the inclinometry of the intervals of its location. The analysis of the results of previous studies of the influence of the well profile on the operation of pumping equipment and recommendations for ensuring its performance is carried out. Given the possibility of operating equipment with limited levels of deformation, a mechanism is proposed for evaluation its stress-strain state using software products based on the finite element method. The reliability of the results is confirmed by comparison with those obtained in the course of analytical studies performed according to a previously tested methodology. Application of the proposed approach will allow to assess the level of deformation of individual elements of the equipment installations, taking into account their design features and the results of inclinometry.