Supply Management Research Articles

Systematic approach to analyzing the impact of monetary processes in the economy on GDP

The object of the study is monetary processes and the real sector of the economy. The purpose of the study is to analyze the impact of monetary processes in the economy on GDP based on a systematic approach. The task of analyzing the relationship between the main indicators of monetary processes and GDP on the basis of a wide sample of countries was solved. The results are obtained: – for the variables included in the cluster analysis, the money supply analyzed: (1st cluster “stable financial environment” – 0, 2nd cluster “high access to credit” – 147.7, 3rd cluster “limited access to credit” – 72.2, 4th cluster “high interest rates” – 30.4 % of GDP); – 72 countries are divided into 4 clusters, with 13 countries in the first cluster, 15 in the second, 21 in the third, and 23 in the fourth. This allows to determine the nature and place of the economy in the world and to make monetary policy decisions; – there is a positive correlation between GDP and money supply (r=0.317); there is a weak positive relationship between GDP and the credit information depth index (r=0.203); there is a moderate positive relationship between GDP and domestic lending (r=0.39). Money supply management and domestic credit should be prioritized in monetary management of the economy. The obtained results are explained by the assumption of linear dependence between the indicators of monetary processes and the real sector of the economy. This assumption was confirmed on the example of different countries, which indicates its universality. The peculiarities of the results obtained are the application of a combination of cluster and correlation and regression methods of analysis using actual World Bank data

A MODEL OF REGIONAL ENERGY SUPPLY SYSTEMS BASED ON SPECIALIZED QUEUEING SYSTEMS

This paper reviews the works of foreign scholars on the topic of regional power supply, based on data from the VINITI abstract journal for the years [2022] - [2024]. The review concludes that management systems for regional power supply are insufficiently explored, and within the context of the smart city paradigm, such studies have not been conducted. This highlights both the relevance and the scientific and practical novelty of the research. A power supply management system based on advanced queueing systems is proposed, which corresponds to the architecture of the modeled object (the power supply system of the city of Petropavlovsk).

Environmental management of the water supply of Cidade Universitária Prof. José da Silveira Netto (UFPA) and implementation model for granting water use

This study was carried out in the Prof. José da Silveira Netto University City, on the campus of the Federal University of Pará (UFPA), on the evaluation of the environmental management of water supply and the normative status of models for granting the right to use water resources in the administrative body, the State Secretariat for the Environment and Sustainable Development (SEMAS/PA). The aim of the study is to propose necessary procedures for implementing a project to support good environmental management of urban sanitation systems, based on SEMAS/PA Normative Instruction no. 3 of March 26, 2014. The methodology was developed through documentary/bibliographical research and visits to the competent bodies (SEMAS/PA, CPRM and FEMAC) and technical visits to the sectors of the university city. The studies show that the process of environmental management of water resources and the model for granting water rights need to be improved from the outset. The water resource use on the campus of the Federal University of Pará should meet this requirement and comply with the applicable regulations and any technical conditions proposed by the competent environmental protection agency.

Water Supply Management Through an Innovative Dashboard Solution

The increased public awareness and stronger restrictions have led to a rising recognition of the significance of advanced technology, especially Geographic Information Systems (GIS), in the management of water resources. The use of GIS in water management is highlighted in this work, with particular attention paid to pollution control, hydrologic modelling, and analytical water supply systems. Furthermore, by combining six conditioning factors and applying vulnerability analysis and logistic regression, it offers a novel approach to leak detection in water distribution networks (WDNs). In order to support preventive maintenance and resource allocation, the model predicts vulnerable locations properly. It is also suggested to use machine learning algorithms to optimise turbine maintenance schedules as part of a predictive maintenance framework for hydroelectric power facilities. High accuracy rates are attained by the framework, which finds important variables for maintenance prediction. These methods provide useful instruments for effective management of water resources overall.

Oxygen-to-ammonium-nitrogen ratio as an indicator for oxygen supply management in microoxic bioanodic ammonium oxidation

Microbial electrolysis cells (MECs) have been proven effective for oxidizing ammonium (NH4+), where the anode acts as an electron acceptor, reducing the energy input by substituting oxygen (O2). However, O2 has been proved to be essential for achieving high removal rates MECs. Thus, precise control of oxygen supply is crucial for optimizing treatment performance and minimizing energy consumption. Unlike previous studies focusing on dissolved oxygen (DO) levels, this study introduces the O2/NH4+-N ratio as a novel control parameter for balancing oxidation rates and the selectivity of NH4+ oxidation towards dinitrogen gas (N2) under limited oxygen condition. Our results demonstrated that the O2/NH4+-N ratio is a more relevant oxygen supply indicator compared to DO level. Oxygen served as a more favorable electron acceptor than the electrode, increasing NH4+ oxidation rates but also resulting in more oxidized products such as nitrate (NO3−). Additionally, nitrous oxide (N2O) and N2 production were higher with the electrode as the electron acceptor compared to oxygen alone. An O2/NH4+-N ratio of 0.5 was found to be optimal, achieving a balance between product selectivity for N2 (51.4 % ± 4.5 %) and oxidation rates (344.6 ± 14.7 mg-N/L*d), with the columbic efficiency of 30.7 % ± 2.0 %. Microbial community analysis revealed that nitrifiers and denitrifiers were the primary bacteria involved, with oxygen promoting the growth of nitrite-oxidizing bacteria, thus facilitating complete NH4+ oxidation to NO3−. Our study provides new insights and guidelines on the appropriate oxygen dosage, offering strategies into optimizing operational conditions for NH4+ removal using MECs.

A systematic approach to the supply of non-metallic construction materials on river transportation

n the presented study, the process of extraction and supply of non-metallic building materials on river transport is described from a systematic point of view. In the course of the study, functional and organizational models of a generalized river transport enterprise were developed for the system of extraction and supply of non-metallic building materials, as well as several organizational models of the following functional subsystems included in it: pre-production, extraction and production of non-metallic building materials, supply management, planning, logistics. Special attention is paid to the study of the pre-production stage of the logistic process of extraction and production of these materials. A systematic approach has made it possible to show that currently the weakest link in the supply of non-metallic building materials by river transport is the backward technical base of production and transshipment of non-metallic building materials. This is due to the fact that the modernization of mining equipment is hampered, on the one hand, by the practical absence of its production by domestic enterprises, and, on the other hand, by sanctions restrictions on foreign supplies. This affects the cost and quality of non-metallic construction materials supplied; environmental processes accompanying the extraction process. Additionally, the weak development of digital technologies in interaction with customers has an impact on supply management in general, and the lack of a scientifically based inventory management system in the process of year-round production and supply affects the level of service and cost of supplies.

Leveraging digital data spaces in purchasing and supply management: Paving the way to the circular economy exemplified by Catena-X

The transition to a circular economy (CE) is increasing the complexity of data processing for purchasing and supply management (PSM), necessitating the adoption of digital technologies. In particular, digital data spaces (DDSs) have gained prominence for facilitating data sharing and collection and allowing secure data exchange. This study explores the information processing capabilities critical for PSM when using DDSs. Using a single case study research design, the study focuses on the DDS Catena-X. Through 20 semi-structured interviews with experts from 12 participating companies, the research explores organizational information processing theory as a theoretical foundation. The results show that DDSs support PSM within the CE by connecting the various actors and through extensive data exchange along the value chain. In addition, the findings identify two critical sets of information capabilities necessary for the effective use of DDSs in PSM: inter-organizational process capabilities and inter-organizational IT-based capabilities. This study contributes to theoretical knowledge within the supply chain management domain by 1) exploring how DDSs benefit the informational capabilities of PSM in CE, 2) investigating the inter-organizational capabilities PSM needs to fully leverage DDSs while 3) introducing the OIPT to the field of circular PSM utilizing DDSs.

A physical-based semi-distributed continuous hydrological modelling for Brahmani River Basin, Eastern India

ABSTRACT This paper describes a case study of continuous hydrologic modeling in the Brahmani River basin in India using the Hydrologic Engineering Center—Hydrologic Modeling System (HEC–HMS). The soil moisture algorithm (SMA) was employed as loss method for continuous simulations in the thirteen sub-basins. The sensitivity analysis showed that soil storage, tension storage and soil percolation are most sensitive parameters. The model performance was assessed for calibration period of 15 years (1990–2004) and validation period of 12 years (2005–2016), using statistical and visual evaluation techniques. During the calibration period, the observed and simulated values showed a good fit, with R2 ranging from 0.67 to 0.74, NSE from 0.66 to 0.72, and PBIAS from −8.5 to −9.5%. Similar performances are obtained during the validation period, with R2 ranging from 0.62 to 0.70, NSE from 0.60 to 0.68, and PBIAS from −2.5 to 21.4%. The results of the SMA procedure employed in the HEC-HMS model give valuable information for flood control and water supply management in the Brahmani Basin and similar other regions in Eastern India.

Procurement practices and value for money in State Corporations in Kenya.

Public procurement related expenditure is approximately fifty to seventy percent of the national budget of developing countries and accounts for almost a third of the gross domestic product. Cognizant of the significant funds committed in public procurement, the quest for value for money is critical. This study sought to determine the effect of procurement practices on value for money in State Corporations in Kenya. Specifically, the study investigated the effect of procurement planning, supplier sourcing, supplies management and E-procurement on value for money. Data collected from 87 State Corporations in Kenya was used in this study. The results of the study indicated that procurement planning, supplier sourcing, supplies management and e-procurement positively and significantly affect the value for money in state corporations in Kenya. The study concluded that proper procurement practices positively and significantly affect the value for money in state corporations in Kenya. The findings of this study contributes to literature by providing an empirical examination on the impact of procurement practices and value for money from a developing country perspective.

Management of a hybrid renewable energy storage system

The development of smart grids, made possible by advancements in computer technology, represents a transformative solution for electricity grids. These systems offer significant improvements in terms of security, reliability, and energy efficiency, while also promoting a low-carbon economy. Smart grids enable more efficient management of electricity supply and demand, as well as optimization of energy storage. However, despite these advantages, challenges persist, particularly in the areas of cybersecurity, and the reliability and speed of information processing. To address these challenges, we propose an innovative algorithm designed for energy management within electricity grids. This algorithm, specifically tailored for grids comprising hybrid storage systems, photovoltaic energy sources, and variable loads, aims primarily to balance supply and demand. This comprehensive approach not only ensures a continuous power supply but also reduces vulnerabilities associated with reliance on a single energy source. To evaluate the effectiveness of this algorithm, we conducted a series of rigorous simulation experiments using the MATLAB platform. These simulations meticulously tested the system's performance, providing substantial experimental evidence of its durability and viability in real-world scenarios. In summary, smart grids offer promising opportunities to enhance the security of electricity grids, maintain supply-demand balance, and promote sustainable energy storage practices. Despite persistent challenges in cybersecurity and information processing, our proposed algorithm represents a significant advancement in addressing these issues and strengthening the capabilities of smart grids.

Evaluating the Event Industry for a Web-Based Event Supplier Management System

Managing a diverse range of suppliers can often become a logistical challenge in the dynamic world of event planning. The multitude of event suppliers frequently leads to miscommunication, delays, and exceeding budgets. Motivated by the necessity for a more efficient solution, the study intends to propose a web-based event supplier management system to revolutionize the process of organizing events. The research approach integrates advanced technology with intuitive interfaces to simplify supplier coordination. With the proposed system, event suppliers can efficiently handle contracts, monitor deliveries, and communicate seamlessly with clients in real time. By combining automated notifications and centralized data storage, the system method ensures that all stakeholders remain informed and aligned throughout the event planning process. The analysis of the needs of the proposed system has yielded significant results from various event suppliers in Surigao City. Based on surveys of 10 event industry professionals and suppliers, it is evident that the limited availability of venues, schedules, and suppliers poses a significant challenge in managing event bookings, with 60% of professionals agreeing. Coordination with other suppliers and communication issues with clients are not significant difficulties for 80% of respondents, and 60% of suppliers are neutral about managing changes or cancellations, though 30% find it difficult. Additionally, 100% of event planners believe collaboration and communication among suppliers are crucial, 90% emphasize the importance of an accessible booking system, and 60% agree that real-time synchronization would enhance efficiency, particularly with a user-friendly interface tailored to local needs in Surigao City. Event suppliers have reported notable reductions in administrative overhead, fewer instances of miscommunication, and improved overall event coordination. Suppliers can allocate resources more effectively through our platform, leading to smoother events and increased client satisfaction. The results of the study will be the basis in proposing web-based event supplier management system in order to address the challenges of suppliers in the event industry

A statistical study for the impact of REMS and nuclear energy on carbon dioxide emissions reductions in G20 countries

Renewable and nuclear energy are seen as clean and eco-friendly substitutes for energy derived from fossil fuels. Which of the two is better, though, is still up for debate. In order to meet their combined global energy objectives and perhaps become carbon neutral or even carbon negative in the near future, a shift to additional renewable energy sources and nuclear energy will be necessary. One such method of improving energy usage through the implementation of a renewable energy management system (REMS) that will help attain a continuous and reliable source of energy, allowing for the proactive and effective management of renewable assets and dependable supply. This article investigates attitudes and opinions about nuclear and renewable energy production technologies by analyzing the dependence of carbon dioxide (CO2) emissions on non-renewable energy sources, renewable energy sources, and nuclear energy in the group of twenty (G20) countries, over the period from 2000 to 2021. This study employs advanced panel data econometric techniques in the presence of outliers in the G20 dataset, utilizing a robust random coefficient regression (RRCR) model via the M-estimation approach to study the impacts of non-renewable, renewable, and nuclear energy use with respect to CO2 emission mitigation in G20 countries. The overall conclusions of the econometric analysis confirm renewable and nuclear energy's importance in reducing CO2 emissions. We can conclude that the robust M-estimate approach is the best estimation technique for the G20 dataset, as compared to the classical estimation methods in the presence of outliers. The results show that for every percentage point of energy consumption that falls into the category of non-renewable energy, CO2 emissions will increase by 2.5737% for all G20 countries. Also, A 1% rise in renewable energy consumption reduces CO2 emissions by 1.0566% for all G20 countries. Similarly, a 1% increase in nuclear energy consumption will reduce CO2 emissions by 5.5703% for all G20 countries. Therefore, we can conclude that energy derived from renewable sources and nuclear energy greatly cuts CO2 emissions in all G20 countries. Total energy consumption, on the other hand, increases CO2 emissions in the long run. According to these findings, it is pivotal for the G20 countries to increase nuclear energy use and employ REMS to reduce the majority of G20 country's reliance on fossil fuels in order to minimize CO2 emissions. These findings are vital for understanding the relationship between these variables and the implementation of new or revised policies and initiatives supporting carbon neutrality at the G20 countries and national levels.

Effects Of Lean Manufacturing Practices On Operational Performance

Lean manufacturing is a concept of process improvement in production management which focuses on waste elimination. This paper explores relationships between lean manufacturing practices and operational performance. Using data collected from 55 manufacturing companies in Tasikmalaya city. Lean manufacturing were measured by five dimensions: production flow management, customer focus, process management, workforce management, and supplier management. Operational performance comprises four dimensions: cost, quality, lead-time, and flexibility. The findings are that all dimensions of lean manufacturing are significantly related to on operational performance. Production flow management has a higher level of significance in large enterprises compared with SMEs, whereas for customer focus there is a higher level of significance in SMEs compared with large enterprises. Process management, supplier management and workforce management have much lower level of significance for both SMEs and large enterprises.

Impact of Monetary Policy on Exchange Rate Stability in Nigeria

This study investigates the impact of interest rates, money supply, and Central Bank reserves on exchange rate stability in Nigeria. Utilizing quarterly economic data from 1980 to 2023, sourced from the Central Bank of Nigeria (CBN) Statistical Bulletin, the research employs a longitudinal survey design to assess the relationships between these monetary variables and exchange rate volatility. The findings indicate that interest rates, money supply, and Central Bank reserves significantly influence exchange rate fluctuations, with Central Bank reserves having the most substantial impact. Specifically, interest rates exhibit a moderate effect on exchange rate volatility (t = 3.513, p = .001, Beta = .342), while money supply also significantly affects exchange rate volatility (t = 2.713, p = .010, Beta = .305). Central Bank reserves, however, have the most pronounced impact (t = 4.141, p = .000, Beta = .467). These results highlight the critical role of monetary policy in maintaining exchange rate stability. The significant positive relationship between interest rates and exchange rate volatility suggests that monetary authorities should carefully consider the ramifications of interest rate adjustments. Similarly, the influence of money supply underscores the need for meticulous management to prevent destabilization. Robust Central Bank reserves emerge as a crucial buffer against exchange rate fluctuations, emphasizing the importance of effective reserve management policies. The findings provide actionable insights for policymakers aiming to enhance exchange rate stability through strategic interest rate policies, careful money supply management, and maintaining adequate Central Bank reserves.

CaRDS - the statewide California Residential water Demand and Supply open dataset

As water scarcity becomes the new norm in the Western United States, states such as California have increased their efforts to improve water resilience. Achieving water security under climate change, population growth, and urbanization requires an integrated multi-sectoral approach, where adaptation strategies combine supply and demand management interventions. Yet, most studies consider supply-side and demand-side management strategies separately. Water conservation efforts are mainly driven by policy requirements and publicly available data to assess the effectiveness of demand- and supply-side management policies is often hard to find and unstructured. Here we present CaRDS - the statewide California Residential water Demand and Supply open dataset. CaRDS encompasses nine years (2013-2021) of monthly water supply and demand time series for 404 water suppliers in California, USA, compiled from different open-access data sources. Access to detailed temporal and spatial water supply operations and demands at the state-level can be useful to researchers and practitioners to realize applications such as evaluating the effectiveness of water conservation policies and discovering regional differences in water resilience measures.

Sustainable dynamic planning and policy implementation for water, energy and food resources

The current investigation focuses on analyzing dynamic approaches to sustainable water resource management policies, considering the interconnectedness of water, food and energy resources. This analysis takes into consideration changes in demand resulting from population growth and economic development over a twenty-year timeframe, employing a systems dynamics methodology. Initially, the model was developed and simulated using data from the case province as a macro-scale representation of the water-food-energy resource framework, while also factoring in the continuation of current conditions. Through sensitivity analysis utilizing the Monte Carlo model, the study addresses the formulation of sustainable water resource policies across four main categories: water demand management, water supply management, food resource management, and energy resource demand management. Additionally, it explores the integration of policies within an optimal framework. The simulation of proposed solutions revealed that a combination of water demand management and food resource management yielded the most promising outcome. Specifically, the recommended solution entails enhancing water irrigation efficiency by 17 % through the expansion of pressurized irrigation network coverage, adjusting cropping patterns by 12 %, reducing agricultural product losses by 7 % via improved food supply management, minimizing food demand by 7 % due to reduced food consumption losses, and achieving an annual 8 % increase in crop performance. These selected policies form the foundation for sustainable water resource management strategies.

Thermal management and fin characteristic optimization of an electronic power supply utilizing Taguchi and ANOVA methods

In the rapidly advancing field of electronic power supplies, managing thermal performance is critical. This study focuses on optimizing fin geometries to enhance the thermal management of an amplifier used in car multimedia systems, utilizing Taguchi and ANOVA methods for both thermal and volumetric efficiencies. Analyses were conducted on the impact of five distinct fin parameters—fin gap, fin thickness, separated plate thickness, fin base thickness, and fin height—on the system’s thermal behavior and the fin volume. Computational Fluid Dynamics (CFD) analyses were performed for 24 different configurations. These analyses showed significant potential for improvement in the original design, with optimizations leading to an 8.31% reduction in the amplifier temperature and a 51.91% reduction in the fin volume. The study identifies fin height as the most effective parameter on the amplifier temperature, with an effect rate of 57.26%, while fin base thickness showed the most significant effect on the fin volume, with an effect rate of 66.98%. These findings not only provide a basis for more efficient design but also offer predictive insights through formulated regression equations, thus reducing the dependency on extensive experimental setups.

ChatGPT in supply chains: exploring potential applications, benefits and challenges

PurposeWhile ChatGPT is gaining popularity, its potential role in supply chains (SCs) remains unexplored. This study explores the potential applications, benefits and challenges of using ChatGPT as a tool in SCs.Design/methodology/approachThe data were gathered through an online survey involving 116 respondents from the academic and industrial sectors who have knowledge of ChatGPT and SC management. These participants were affiliated with the Decision Science Institute (DSI) in the USA and contributed to the published DSI conference proceedings from 2019 to 2022. The survey is structured in three main sections: (1) general information (5 background questions), (2) ChatGPT's potential applications and benefits in SCs (15 pre-determined questions) and (3) potential challenges with using ChatGPT in SCs (5 pre-determined questions). The collected data underwent analysis using IBM SPSS Statistics software.FindingsChatGPT can potentially benefit SC operations in 15 areas. Eight potential benefits received more support than the rest, including enhanced process efficiency, cost reduction, providing sustainability reports, better demand forecasting, improved data analysis, streamlined supplier communication, streamlined customer communication, supported promotional activities and enhanced customer satisfaction, but all were supported. Also, the study identified some challenges and hurdles currently impacting the use of ChatGPT in the SC, including that ChatGPT cannot replace experts, it is not an immediate game changer, its uses may lack accuracy, and ChatGPT may take time to reach maturity.Originality/valueThe study is the first to offer empirically grounded evidence of ChatGPT's potential in SCs. The research enhances academic literature by deepening our comprehension of the potential applications of ChatGPT within SCs. Therefore, the study makes an invaluable contribution to the extant literature on ChatGPT in SCs. It can benefit manufacturers, suppliers, logistics providers and other types of businesses through more efficient procurement practices, supplier management, operations and inventory management, logistics practices and customer relationships. Future research may explore how and why ChatGPT is used in SCs.

Tortuosity Engineering of Water Channels to Customized Water Supply for Enhancing Hydrogel Solar Evaporation.

Hydrogel as a solar evaporator shows great potential in freshwater production. However, hydrogels often lead to an imbalance between solar energy input and water supply management due to their excessively high saturated water content. Thus, achieving a stable water-energy-balance in hydrogel evaporators remains challenging. Here, by tortuosity engineering designed water transport channels, a seamless high-tortuosity/low-tortuosity/high-tortuosity structured hydrogel (SHLH structure hydrogel) evaporator is developed, which enables the hydrogel with customized water transport rate, leading to the controlled water supply at the evaporator interface. An excellent equilibrium between the photothermal conversion and water supply is established, and the maximum utilization of solar energy is realized, thereby achieving an excellent evaporation rate of 3.64kg m-2h-1 under one solar illumination. This tortuosity engineering controlled SHLH structured evaporator provides a novel strategy to attain water-energy-balance and expands new approaches for constructing hydrogel-based evaporators with tailored water transportation capacity.

Supply chain management (SCM) framework for small and medium manufacturing enterprises (SMEs) in Ghana

Efficient supply chain management is essential for small and medium-sized enterprises (SMEs) in Ghana to guarantee a dependable flow of products and services, sustain competitiveness, and promote growth and job creation. The objective of this study is to analyse the current supply chain models utilised by manufacturing small and medium-sized enterprises (SMEs) in Ghana. Additionally, it intends to propose a prototype model that will aid manufacturing SMEs in achieving sustainability, growth, and future expansion in Ghana and other regions. The Conceptual framework was developed by examining variables identified in the existing literature on supplier management practices in small and medium-sized enterprises (SMEs), as well as inventory management approaches that are relevant to SMEs. A structured questionnaire was employed to collect data from the main source. This study employs a mixed method approach, which includes the participation of 363 respondents. Interviews and surveys were carried out with small and medium-sized enterprise (SME) owners and managers. The data was analysed using the SPSS (v 27.0) computer application, which involved both inferential and descriptive statistical analysis. The findings revealed essential components of the prototype, such as the implementation of supply management (SM), proficient information management (IM), streamlined distribution strategies, and strong marketing and sales strategies, in addition to customer relationship management (CRM) and effective post-sales services. Implementing these supply chain management (SCM) principles effectively can guarantee the sustainability, growth, employment generation, and overall performance of small and medium-sized enterprises (SMEs) in Ghana.