scholarly journals An Advanced Decision Support Platform in Energy Management to Increase Energy Efficiency for Small and Medium Enterprises

Author(s):  
Gheorghe Grigoraș ◽  
Bogdan-Constantin Neagu

The paper presents a new vision on the energy consumption management in the case of the Small and Medium Enterprises (SMEs), integrated into an advanced decision support platform, with technical and economic benefits on increasing the energy efficiency, which contains modules for database management, profiling, forecasting, and production scheduling. Inside each module, Artificial Intelligence and Data Mining techniques were proposed to remove the uncertainties regarding the dynamic of technological flows. Thus, the data management module includes the Data Mining techniques, that extract the technical details on the energy consumption needed in the development of production scheduling strategies, the profiling module uses an original approach based on clustering techniques to determine the typical energy consumption profiles required in the optimal planning of the activities, the forecasting module contains a new approach based on an expert system to forecast the total energy consumption of the SMEs, and production scheduling module integrates a heuristic optimization method to obtain the optimal solutions in flattening the energy consumption profile. The testing was done for a small enterprise from Romania, belonging to the domain of trade and repair of vehicles. The obtained results highlighted the advantages of the proposed decision support platform on the decrease in the intensity of energy consumption per unit of product, reduction of the purchase costs, and modification of the impact whom the energy bills have on the operational costs.

2020 ◽  
Vol 10 (10) ◽  
pp. 3505
Author(s):  
Gheorghe Grigoraș ◽  
Bogdan-Constantin Neagu

The paper presents a new vision on the energy consumption management in the case of the small and medium enterprises (SMEs), integrated into an advanced decision support platform, with technical and economic benefits on increasing the energy efficiency, with four modules for database management, profiling, forecasting, and production scheduling. Inside each module, artificial intelligence and data mining techniques were proposed to remove the uncertainties regarding the dynamic of technological flows. Thus, the data management module includes the data mining techniques, that extract the technical details on the energy consumption needed in the development of production scheduling strategies, the profiling module uses an original approach based on clustering techniques to determine the typical energy consumption profiles required in the optimal planning of the activities, the forecasting module contains a new approach based on an expert system to forecast the total energy consumption of the SMEs, and production scheduling module integrates a heuristic optimization method to obtain the optimal solutions in flattening the energy consumption profile. The testing was done for a small enterprise from Romania, belonging to the domain of trade and repair of vehicles. The obtained results highlighted the advantages of the proposed decision support platform on the decrease in the intensity of energy consumption per unit of product, reduction of the purchase costs, and modification of the impact for which energy bills have on the operational costs.


2018 ◽  
Vol 28 (1) ◽  
pp. 105-110
Author(s):  
Snezana Bardarova ◽  
Marija Magdincheva-Shopova ◽  
Monika Markovska ◽  
Bozhidar Milenkovski

Current developments in the global and national economics point to a number of problems faced by real entities in the real sector, and as a special area of interest for the scientific public there is a need to provide conditions for the smooth running of the reproduction processes in the enterprise and the realization the positive results of the operation. Enterprises are drivers of inclusive economic growth in the Republic of Macedonia and in creating productive and sustainable jobs.The new conception of the small enterprise as a carrier and engine of economic development is quite persuasive with its economic logic and reaffirms the small enterprise as a significant economic sector. The activities within the small enterprises are aimed at intensifying the results of the work by achieving a balance between objective possibilities and good working principles. The monitoring of the small enterprise, through the prism of its influence on economic growth and development, rejects the traditional view for small enterprises as security guards.The SME sector is a driver of inclusive economic growth in Macedonia and the creation of sustainable jobs increasing productivity. It also does not agree with the notion that small enterprises are economically inefficient organisms.With the third technological revolution in the countries with a developed market economy, the domination of the so-called. small economy, that is, the sector of small and medium enterprises. Today, small enterprises have a growing number of supporters who believe that small enterprises are carriers of innovation and entrepreneurship and are able to react quickly to changes in the environment. For years, the Republic of Macedonia has faced a high rate (29%, June 2013) of general unemployment, which remains a key challenge for stabilizing the economic and social development of the country. The subject of research in this paper is focused on conducting analysis of the active enterprises in the Republic of Macedonia by size, by sector and by number of employees, as well as analysis of the activity of the population and employment by sectors and by type of ownership of the enterprise in the period from 2013-2017.


2020 ◽  
Vol 10 (10) ◽  
pp. 3589 ◽  
Author(s):  
Mahsa Nazeriye ◽  
Abdorrahman Haeri ◽  
Francisco Martínez-Álvarez

Human living could become very difficult due to a lack of energy. The household sector plays a significant role in energy consumption. Trying to optimize and achieve efficient energy consumption can lead to large-scale energy savings. The aim of this paper is to identify the equipment and property affecting energy efficiency and consumption in residential homes. For this purpose, a hybrid data-mining approach based on K-means algorithms and decision trees is presented. To analyze the approach, data is modeled once using the approach and then without it. A data set of residential homes of England and Wales is arranged in low, medium and high consumption clusters. The C5.0 algorithm is run on each cluster to extract factors affecting energy efficiency. The comparison of the modeling results, and also their accuracy, prove that the approach employed has the ability to extract the findings with greater accuracy and detail than in other cases. The installation of boilers, using cavity walls, and installing insulation could improve energy efficiency. Old homes and the usage of economy 7 electricity have an unfavorable effect on energy efficiency, but the approach shows that each cluster behaved differently in these factors related to energy efficiency and has unique results.


Author(s):  
Fabrice Saffre ◽  
Louise Krug

In this chapter, we use a scenario-based approach to present the real opportunities for carbon abatement arising from the use of cloud services, but also to identify the dangerous misconceptions that could undermine their energy and carbon saving potential. In particular, we emphasise the key and often forgotten fact that improving energy efficiency does not necessarily amount to curbing Green House Gases (GHG) emissions. Making a clear distinction between reduced energy consumption and a lighter carbon footprint is of particular importance in the context of cloud services because of their global nature and the huge differences in the carbon intensity of electricity generation between countries. We also present evidence that not all businesses or services are equal with respect to the carbon abatement potential of a cloud-based alternative, with “low-tech” small and medium enterprises often offering the best prospects.


Author(s):  
Svetlana L. Sazanova

Entrepreneurship plays an important role in the modern global economy; the share of products of small and medium enterprises in the gross product and exports not only of the developed but also of developing countries is growing. Innovation processes cover all sectors of the economy, and more and more people are involved in entrepreneurial activity, which contributes to the penetration of entrepreneurial thinking and business values in all areas of the socioeconomic life of society. The Institute of Entrepreneurship plays an increasingly prominent role in the institutional environment of socio-economic systems. This actualizes the problem of studying the relationship of the institution of entrepreneurship with the institutions of law, culture, management. This requires a methodology that allows you to explore the impact on the institute of entrepreneurship not only economic, but also non-economic factors. The methodology of the “old” institutionalism possesses such a tool, it is structural modeling (pattern modeling), which allows to explore the diversity of interrelationships of the institution of entrepreneurship with other components of the institutional and economic environment. The article explored the features of the development of the institution of entrepreneurship in Russia, established the relationship between the institution of entrepreneurship, values, motives and incentives for entrepreneurial activity, built a structural model of the institution of entrepreneurship based on the methodology of the old institutionalism (pattern modeling). The structural model of the institution of entrepreneurship reveals the relationship between the institution of entrepreneurship, the values of entrepreneurial activity, its motives and incentives; as well as the relationship between the institution of entrepreneurship with the institutions of governance, cultural and religious institutions, legal institutions and society.


SinkrOn ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 151
Author(s):  
Rinaldi Setiawan ◽  
Arini Arini ◽  
Luh Kesuma Wardhani

The number of micro, small and medium enterprises (MSMEs) in the field of screen printing and convection that use websites in marketing is one of them CV. Ini Sablon. but in the production process there are obstacles in working on orders that come to be done first in accordance with predetermined criteria, namely deadlines, number of orders, design, profit, and availability of goods. The use of Decision Support System (DSS) aims to provide recommendations to owners of screen printing companies. This study uses the SMART method to weight the criteria and the TOPSIS method for product selection. This system is built using the PHP programming language and MySQL database. The results of the study were a screen printing production priority website with the best final value of 0.62 and the worst final value of 0.35 with the level of accuracy between manual and system calculations reaching 100%. In this study the criteria cannot be updated, it is expected that further research criteria can be updated and use a combination of methods that have not been done.


Author(s):  
Mwinyihija M.

Africa’s renaissance is inevitable and rapidly emerging as a reality in tandem with the continent’s continued exploration of its natural resources in a more sustained way than previously done. Currently, the clarion call is to value add, avoid plundering and involve its population through the SME’s to adapt modern methods of entrepreneurship. During the study, critical aspects that are envisaged to trigger the growth and development of Africa, included the entry of major countries of the continent into the global emerging markets such as MINT (Mexico, Indonesia, Nigeria and Turkey) and BRICS (Brazil, Russia, India, China and South Africa). For the leather sector, certain socioeconomic indicators such as the youthful participation in the value chain, ownership status, literacy levels and acquired experiences are all contributing to a vibrant sector. It was observed that these indicators if well aligned with individual member states of African Union Commission and structured than productivity and competitiveness of leather products will be attained. As such, ease of either foreign direct investment, local recapitalization and development of the SME’s could become feasible. Indeed, with the emergence of over 300 million youth at middle level income level is construed to start building on the impact of the continents purchasing power. Therefore, Africa needs to respond by address on development of ICT, develop affordable financial support to provide stimulus packages to SME’s (Small and Medium Enterprises) to transform, improve on inter and intra trade to optimize on unexplored synergies and enhance mobility of persons with in Africa as preamble to Africa’s renaissance.


2020 ◽  
Vol 9 (2) ◽  
pp. 298
Author(s):  
Muhamad Marwan

The aim of this study is to determine the impact of networking on SME’s ability to access government financial support through legal channels in Asia Pacific. This study is quantitative in nature in which the data has been gathered from 281 employees and managers working in SMEs through survey questionnaire. The SEM technique was utilised for the purpose of analysing and testing the mediation effect. The study found that there is a partial mediation of government financial support through legal channels among the relationship between networking with officers and access to finance. This study is restricted to the SMEs operating in the region of Asia Pacific.


2020 ◽  
Vol 9 (3) ◽  
pp. 26-41
Author(s):  
Colin Agabalinda ◽  
Alain Vilard Ndi Isoh

The study investigated the direct effects of financial literacy (knowledge, skills, and attitudes) on financial preparedness for retirement and the moderating effect of age among the small and medium enterprises in Uganda. Primary data was collected from a sample of n = 380 selected from the SME workforce. Descriptive analysis was run on SPSS, while validity and reliability of the measurement items yielded satisfactory composite reliability scores and average variance explained (AVE) scores for all items. Structural equation modelling (SEM) was used to test the hypotheses and multi-group analysis conducted to test for the moderating effect of age on the relationship between financial literacy and retirement preparedness. The results revealed that knowledge and skills were significant predictors of retirement preparedness. However, ‘attitude' was not a significant predictor, and age had no moderating effect on the relationship between the study variables. These findings present practical implications for policymakers and financial educators in a developing country context.


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