1. Integrating simulation modelling for sustainable, human-centred Industry 5.0: ESG-based evaluation in collaborative workplacesRobert Ojsteršek, Aljaž Javernik, Borut Buchmeister, 2024, izvirni znanstveni članek Opis: This research explores the role of simulation modelling in the development of human-centred, sustainable manufacturing processes in the context of Industry 5.0. We analyse collaborative workplaces where humans and collaborative robots (CR) work together, emphasizing the environmental, social, and governance (ESG) criteria. The research work focuses on how personalized CR parameters and optimized work environments contribute to improved productivity, well-being, and sustainability. Through simulations, the paper evaluates the operational efficiency of both manual assembly and human-robot collaborative (HRC) setups, providing insight into the economic, environmental, and social impacts of Industry 5.0 manufacturing systems. The results show significant improvements in sustainability, productivity, and worker well-being achieved through adaptive CR integration and ESG-driven engineering practices.
Ključne besede: human-centred manufacturing, simulation modelling, sustainability – ESG, industry 5.0, collaborative workplace, human-robot interaction, assembly process
Objavljeno v DKUM: 28.08.2025; Ogledov: 0; Prenosov: 3
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2. Selection procedure of the approximation methods for deriving priorities : a case of inconsistent pairwise comparisonsVesna Čančer, 2024, izvirni znanstveni članek Opis: Background:When pairwise comparisons are used to express preferences foralternatives or judgments on criteria's importance, several methods can be used to derive priorities in multi-criteria decision-making. In the case of inconsistency, different methods give different results. Objectives:The main goal of this paper is to present the procedure of measuring the accuracy of the selected approximation methods based on pairwise comparisons compared to the priorities obtained by the eigenvalue method. It also aims toillustrate the procedure onthe numerical example characterisedby acceptable inconsistency.Methods/Approach:The presented procedure is based on a prescriptive approach, the fixed ratio scale, reciprocal pairwise comparison matrices,and consistency ratio.Mean absolute deviation and mean absolute percentage deviation are used to measureaccuracy.Results:The first result is the theoretical statement of the priorities’ accuracy measurement procedure. The results of the numerical example characterisedbythe preferencesof strength slight to strong plus show that,on average, the most accurate approximation method is the geometric mean method. Conclusions:The research contributes to the literatureonprescriptive approaches to decision-making. The results can show potential users which approximation method to use and lecturers which of them to include in the curriculum portfolio.
Ključne besede: accuracy, analytic hierarchy process, approximation method, pairwise comparisons, priority, simulation
Objavljeno v DKUM: 09.05.2025; Ogledov: 0; Prenosov: 9
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3. Simulation-based algorithm for continuous improvement of enterprises performanceJ. Pervaz, Nemanja Sremčev, Branislav Stevanov, Leo Gusel, 2024, izvirni znanstveni članek Opis: The printing company’s process performance depends on the possibility of providing requested products and managing the existing constraints of fixed machine layouts and high setup times between different products. Process inefficiencies caused by these factors reflect on throughput, production times, and resource utilization. The changes that improve one part of the production system usually affect other parts, needing additional optimization, and it is very useful to test the feasibility of proposed solutions with simulation before implementation. This paper presents a new algorithm for continuous improvement of enterprises performance, combining the lean approach with cellular manufacturing, and simulation. The performance is observed in a way that a certain setup influences the system in its entirety, rather than on a specific part of that system. The results are presented through models developed within the production optimization phase, representing various ways in which the continuous improvement algorithm can unfold. Each of them comes with its advantages and disadvantages, all intending to create more efficient production processes that generate less production waste.
Ključne besede: printing process, lean management, product groups, manufacturing cells, simulation, continuous improvement
Objavljeno v DKUM: 10.03.2025; Ogledov: 0; Prenosov: 8
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4. Implementation of the digital sales channel in the coatings industryEva Krhač Andrašec, Marjan Senegačnik, Benjamin Urh, Tomaž Kern, 2021, izvirni znanstveni članek Opis: The development process in the coatings industry can be shortened by digital transformation, and its costs can be reduced using a technical enabler. However, formulators need up-to-date and comprehensive data on existing and potential ingredients to develop the formulation. We were curious about how to supply formulators with data. The idea was that suppliers of ingredients provide data using the “common enabling technology”. We hypothesize that direct data entry compensates suppliers because they can shorten the sales process and increase sales. We used a survey to select key sales channels in the industry. Detailed process models were designed using structured interviews. We analyzed models using structural and operational indicators. Finally, we formed a new digital sales process and verified it. The results show that the digitally formatted sales process can be shortened by up to 32%. Simultaneously, more potential customers can be accessed using the common technology. Existing sales channels would not be closed down. Nevertheless, the digital sales channel is expected to prove its worth over time and gradually increase its share. The suppliers of ingredients can thus avoid a radical process transformation and the immediate integration of additional information technology into the company information system in such an evolutionary way.
Ključne besede: digital sales channel, process analyses and improvement, digital transformation, technical enabler, coatings industry, process simulation
Objavljeno v DKUM: 06.08.2024; Ogledov: 103; Prenosov: 10
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6. The need for simulation in complex industrial systemsKhalid Aboura, Miroljub Kljajić, Ali Eskandarian, 2012, izvirni znanstveni članek Opis: We discuss the concept of simulation and its application in the resolution of problems in complex industrial systems. Most problems of serious scale, be it an inventory problem, a production and distribution problem, a management of resources or process improvement, all real world problems require a mix of generic, data algorithmic and Ad-hoc solutions making the best of available information. We describe two projects in which analytical solutions were applied or contemplated. The first case study uses linear programming in the optimal allocation of advertising resources by a major internet service provider. The second study, in a series of projects, analyses options for the expansion of the production and distribution network of mining products, as part of a sensitive strategic business review. Using the examples, we make the case for the need of simulation in complex industrial problems where analytical solutions may be attempted but where the size and complexity of the problem forces a Monte Carlo approach.
Ključne besede: simulation, linear programming, production process
Objavljeno v DKUM: 10.07.2015; Ogledov: 1232; Prenosov: 416
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7. Segmenting risks in risk managementBorut Jereb, 2009, izvirni znanstveni članek Opis: The paper describes a segmentation of risks to make each risk segment more manageable. The proposed approach is primarily intended to improve the confidentiality of risk simulations. The description of the approach is based on a logistics business process system which requires that its input is represented as a process graph. Each process is defined in terms of input and output; input comprises general input as well as risks; output comprises general output as well as impacts. The model takes into consideration internalas well as external input and output. Parameters can be used to define individual processes. Processes include functions that calculate new values of parameters and output on the bases of given input. Based on given tolerance levels for risks, impacts and process parameters, the model determines whether these levels are acceptable. The model assumes that parameters and functions are non-deterministic, i.e. parameters and functions may change in time. Although the approach is described on a very general level, each segment can be further subdivided into subsegments in order to include more characteristics of observed risks.
Ključne besede: risk, impact, segmentation, risk management, process parameters, logistics, model, simulation tools, non-deterministic
Objavljeno v DKUM: 05.06.2012; Ogledov: 2069; Prenosov: 56
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8. A Multi-criteria decision analysis framework tool for the selection of farm business models on organic mountain farmsKarmen Pažek, Črtomir Rozman, Franc Bavec, Andreja Borec, Martina Bavec, 2010, izvirni znanstveni članek Opis: Mountain regions are important producers of organic food. For them, reliable decision making regarding business planning necessitates different critical support methods. KARSIM 1.0 (DSM) is a methodology based on an integrated deterministic simulation system application for decision-making support, consisting of 74 deterministic production simulation models. DSM enables different types of cost and financial feasibility calculations for organic production and food processing. KARSIM 1.0 was used to simulate three specific business alternatives for mountain organic farms. (Alternative 1: spelt grain, fruit cider, wine and brandy, plum brandy, calves meat and sheep-soft cheese production, Alternative 2: spelt flour, pear and apple juice, plum brandy, veal and sheep's milk, Alternative 3: spelt grain, dried fruit, calves, soft and hard sheep cheese). Simulation model results were compared using two multi-objective analysis methods: the analytical hierarchical process (Expert Choice Decision Support System software) and DEX-i method. the results showed the bigest multi-objective decision evaluation for alternative 2 (Expert Choice = 0.361 and DEX-i evaluation = excellent). We can conclude that the combination of a deterministic cost simulation model and multi-criteria decision analysis present an acceptable decision support tool for mountain organic farms; however, further research is desirable.
Ključne besede: simulation modeling, KARSIM 1.0, MCDA, DEXži, analytical hierarchical process, mountain organic farms
Objavljeno v DKUM: 05.06.2012; Ogledov: 2345; Prenosov: 141
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9. A model of simulation environment for prediction and optimisation of production processesIgor Drstvenšek, Mirko Ficko, Ivo Pahole, Jože Balič, 2004, izvirni znanstveni članek Opis: Paper describes means and methods for computer based optimisation of production processes using a new approach based on technological database (TDB) with genetic algorithm incorporated into a database management system (DBMS). The TDB serves as a store of tools and machine tools from which they can be assigned to different work operations. Work operations are basic entities of orders placed into queues. The goal of the model is to find available resources from the TDB in order to empty the queue in shortest time with lowest costs. To this purpose the model consist the technological database whose DBMS includes a genetic algorithm based optimiser. It checks the orders queue and searches for appropriate combinations of tools and machine tools from the TDB, which can be combined into needed work operations. It also performs an optimisation of time and costs according to so called static parameters of tools and machine tools.
Ključne besede: production processes, simulation, process planning, technological databases, genetic algorithms
Objavljeno v DKUM: 01.06.2012; Ogledov: 1875; Prenosov: 106
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