scholarly journals Application of Systems Simulation for Predicting and Optimising Energy Requirements for HDF Production

2015 ◽  
Vol 2015 ◽  
pp. 1-16
Author(s):  
Cristina Maria Luminea ◽  
John Donovan ◽  
David Tormey

Even though simulation has been used so far in manufacturing facilities for modelling supply chain management, production management, and business processes, its applications in managing the energy consumption within manufacturing companies represent a new and innovative research domain. This prompted the research undertaken for the work present in this paper. The main focus of this research is to analyse production management in a manufacturing facility and correlate it with the energy consumption. The research initially concentrates on different simulation methodologies and their application in the current manufacturing domain. Literature relating to the correlation of energy consumption with production management has also been reviewed. This review identified very few previous instances where simulation tools were used to predict the energy consumption in a manufacturing facility. This research brings a novel approach to investigating the adaptability of industrial simulation processes and tools for modelling the energy consumption with respect to a variable production output. The end result of this investigation consists of a better understanding of the production system and the energy losses that were captured by the simulation model.

2014 ◽  
Vol 474 ◽  
pp. 73-78
Author(s):  
Jan Vavruška ◽  
František Manlig ◽  
František Koblasa

The main focus when improving business processes is on the analysis of material flow. Thorough analysis of the information flow and associated information systems is still undervalued. Working with inaccurate and/or obsolete data leads to incorrect outputs that negatively affect the entire control process. Analysis of the state of material has to go hand in hand with the information analysis. A mini audit of the information flow and information system can be carried out, which follows the classic principles of VSM (Value stream mapping), in order to make an initial analysis of the information flow and information system. Information about the current state of the process together with a measure how well it is represented by the model in the information system can be obtained thanks to this mini-audit. This article focuses on this mini-audit and briefly describes the auditing process. The details of how to create VSM maps is discussed with the main focus on an information flow where the key elements are the inputs and the outputs of the job orders for planning and production management. Attention is also focused on the form of delays in discrete-event recording in the production process which appear in the information system.


2021 ◽  
Vol 14 (1) ◽  
pp. 40-47
Author(s):  
Tatуana Ivanovna LOMACHENKO ◽  

Nowadays, there is no consensus that digitalization is a threat to business security or an opportunity to comprehensively manage the entire chain of business processes in real time, taking into account incoming data from all assets. However, political and economic instability, demand volatility, and competition are all a set of global challenges that digital transformation has responded to. In industry, the competitive advantage has become not the ownership of the enterprise, the firm, but access to digital technology, on which the efficiency of work with specific resources depends. The processes of forming individual business segments related to production management based on modern digital technology have already been launched and most companies are focused on this direction. The article reveals the features of the evolutionary stage of digital economy development, presents the relationship of this process with the formation of the conceptual framework from the theoretical foundations, substantiated in the 1990s by foreign and domestic scientists to modern approaches in the interpretation of digital economy definitions. The article proposes the structural dynamics of the digital economy in today's realities, revealing internal problems, opportunities for economic growth, maturity and readiness of the state to new ways of doing business in the digital economy and digital transformation, to form the country's national strategy. In addition, the conditions under which digital transformation opens up new opportunities for the business environment, the public sector and society as a whole are presented. Changes in business strategy, organizational forms, business process capabilities, new approaches in working with clients, competitive advantages, increase in profit sources are analyzed. As a result, the efficiency of the whole system increases, which allows to reach a fundamentally new level of production efficiency in a short time.


2017 ◽  
Vol 871 ◽  
pp. 77-86
Author(s):  
Stefanie Kabelitz ◽  
Sergii Kolomiichuk

The supply of electricity is growing increasingly dependent on the weather as the share of renewable energies increases. Different measures can nevertheless maintain grid reliability and quality. These include the use of storage technologies, upgrades of the grid and options for responsiveness to supply and demand. This paper focuses on demand side management and the use of flexibility in production processes. First, the framework of Germany’s energy policy is presented and direct and indirect incentives for businesses to seek as well as to provide flexibility capabilities are highlighted. Converting this framework into a mixed integer program leads to multi-objective optimization. The challenge inherent to this method is realistically mapping the different objectives that affect business practices directly and indirectly in a variety of laws. An example is introduced to demonstrate the complexity of the model and examine the energy flexibility. Second, manufacturing companies’ energy efficiency is assessed under the frequently occurring conditions of heavily aggregated energy consumption data and of information with insufficient depth of detail to perform certain analyses, formulate actions or optimize processes. The findings obtained from the energy assessment and energy consumption projections are used to model the production system’s energy efficiency and thus facilitate optimization. Methods of data mining and machine learning are employed to project energy consumption. Aggregated energy consumption data and different production and environmental parameters are used to assess indirectly measured consumers and link projections of energy consumption with the production schedule.


2013 ◽  
Vol 385-386 ◽  
pp. 1823-1826
Author(s):  
De Quan Wang ◽  
Jia Lin Li ◽  
Jin Hua Ding ◽  
Teng Gao ◽  
Tian Ji

In order to meet the development of economic globalization, a gearbox manufacturers need to optimize the production management through using digital factory technology to improve their market competitiveness. According a transmission production line industry characteristics and business processes, the digital factory information systems integrate ERP, MES and ANDON system making the real-time information flow. The system has been actually run in the company, passed technical appraisal and meet the design requirements.


2018 ◽  
Vol 18 (2) ◽  
Author(s):  
Orlando Roque Da Silva ◽  
Delvio Venanzi ◽  
Haroldo Lhou Haegawa ◽  
Diogo Faustino

This paper explores how the choices and implementation of lean production practices are influenced by performance goals prioritized by firms in the context of operations strategy. We analyzed a set of fifty-six companies in the auto parts industry in Campinas and Jundiai region, divided into four strategic groups. These groups of firms that adopt similar strategic orientations were used to investigate the relationship between implementation of lean manufacturing practices and choice of performance objectives. The results suggest that consideration of strategic groups can improve the understanding of how performance objectives can define lean manufacturing practices adopted by manufacturing companies.


Polymers ◽  
2021 ◽  
Vol 13 (23) ◽  
pp. 4190
Author(s):  
Simona Popa ◽  
Andra Tamas ◽  
Vasile Simulescu ◽  
Dorin Jurcau ◽  
Sorina Boran ◽  
...  

Fatty acids esters have a wide application as bioplasticizers and biolubricants in different industries, obtained mainly in classic batch reactors, through an equilibrium complex reaction, that involves high temperatures, long reaction times, vigorously stirring, and much energy consumption. To overcome these shortcomings, we synthesized a series of fatty acid esters (soybean oil fatty acids being the acid components with various hydroxyl compounds) through novel low energy consumption technologies using a bubble column reactor, a microwave field reactor and for comparison meaning, a classic batch reactor. The obtained bioesters physicochemical properties were similar to one another, a good concordance among their rheological properties was obtained, but the energetic consumption is lower when using the bubble column or the microwave reactors instead of the classical batch reactor.


2018 ◽  
Vol 7 (1) ◽  
pp. 102-112 ◽  
Author(s):  
Imam Mukhlash ◽  
Widya Nilam Rumana ◽  
Dieky Adzkiya ◽  
Riyanarto Sarno

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.


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