1. Geographical information system modeling for planning internal transportation in a manufacturing plant’s outdoor areaKlemen Prah, Brigita Gajšek, 2024, izvirni znanstveni članek Opis: A geographical information system (GIS) is an advanced tool for collecting, managing, and analyzing spatially-referenced data. The contribution of GIS use to process performance indicators can be improved by combining it with multi-criteria decision analysis (MCDA). Combining a GIS and MCDA is, in the scientific literature, rarely discussed for planning an internal transportation system in a manufacturing plant’s outdoor area. The purpose of this article is to clarify what mangers can expect from using a combined approach when deciding on a transport fleet and the operational routing of vehicles. Beside the simulation of MCDA, the computer software ArcGIS Pro 3.0.2 with the Network Analyst extension was used for modelling the transportation system in the form of a case study. The article demonstrates the feasibility and effectiveness of GIS and MCDA use and reveals the extent of the challenge of how decision makers could make the most of ArcGIS functionality. The final solution for an internal transportation system in a manufacturing plant’s outdoor area includes such a vehicle fleet and the set time windows of orders for transport services, so that there are no violations of time windows and the work is completed within the work shift while minimizing costs, time, and distance. Decision makers can use the program without advanced knowledge of optimization approaches, following a procedure that does not differ much from that of learning to use other business software tools. On the contrary, the listed disadvantages can be summarized as the rigidity of setting detailed boundary conditions for a specific simulation scenario.
Ključne besede: geographical information system, internal outdoor area transport, decision support system, vehicle fleet, planning
Objavljeno v DKUM: 18.07.2025; Ogledov: 0; Prenosov: 6
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2. Pig weight estimation according to RGB image analysisAndras Kárpinszky, Gergely Dobsinszki, 2023, izvirni znanstveni članek Opis: In pig farming, knowing the exact weight of each animal is critical for the owner. Such information can help determine the amount and type of feed that needs to be fed to a specific fattening pig. Weighing pigs has always been problematic, because it is highly time consuming, and herding the pigs on the scale is extremely cumbersome. Moreover, it causes stress to the animals. The aim of our study was to build an RGB-based system that could estimate the daily weight of pigs and individual animal weight. The study was set up in a 100-day rotation in a commercial pig farm where we monitored 32 pigs. We developed a system to identify the features of the pigs, more particularly the head, shoulder, belly, and rump part. Three different models
were tested, and their main differences were linked to image processing and training data. Using these models, we received higher than 97% accuracy between the predicted and the manually recorded weight of the animals. This system allows owners to manage and monitor their pigs using our web interface, allowing them to make crucial decisions during the farming process.
Ključne besede: image processing, pig size, decision support system, precision livestock farming
Objavljeno v DKUM: 25.04.2025; Ogledov: 0; Prenosov: 2
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3. A statistical model for shutdowns due to air quality control for a copper production decision support systemKhalid Aboura, 2015, izvirni znanstveni članek Opis: Background: In the mid-1990s, a decision support system for copper production was developed for one of the largest mining companies in Australia. The research was conducted by scientists from the largest Australian research center and involved the use of simulation to analyze options to increase production of a copper production facility.
Objectives: We describe a statistical model for shutdowns due to air quality control and some of the data analysis conducted during the simulation project. We point to the fact that the simulation was a sophisticated exercise that consisted of many modules and the statistical model for shutdowns was essential for valid simulation runs.
Method: The statistical model made use of a full year of data on daily downtimes and used a combination of techniques to generate replications of the data.
Results: The study was conducted with a high level of cooperation between the scientists and the mining company. This contributed to the development of accurate estimates for input into a support system with an EXCEL based interface.
Conclusion: The environmental conditions affected greatly the operations of the production facility. A good statistical model was essential for the successful simulation and the high budget expansion decision that ensued.
Ključne besede: decision support system, simulation, statistical modelling
Objavljeno v DKUM: 28.11.2017; Ogledov: 1317; Prenosov: 361
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4. Decision making under conditions of uncertainty in agriculture : a case study of oil cropsKarmen Pažek, Črtomir Rozman, 2009, pregledni znanstveni članek Opis: In decision under uncertainty individual decision makers (farmers) have to choose one of a set number of alternatives with complete information about their outcomes but in the absence of any information or data about the probabilities of the various state of nature. This paper examines a decision making under uncertainty in agriculture. The classical approaches of Wald’s, Hurwicz’s, Maximax, Savage’s and Laplace’s are discussed and compared in case study of oil pumpkin production and selling of pumpkin oil. The computational complexity and usefulness of the criterion are further presented. The article is concluded with aggregate the results of all observed criteria and business alternatives in the conditions of uncertainty, where the business alternative 1 is suggested.
Ključne besede: uncertainty, Wald’s, Hurwicz’s, Maximax, Savage’s and Laplace’s criterion, decision support system, agriculture, oil crops
Objavljeno v DKUM: 20.07.2017; Ogledov: 1261; Prenosov: 152
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5. Application of analytical hierarchy process in agricultureKarmen Pažek, Črtomir Rozman, 2005, izvirni znanstveni članek Opis: Hierarchical decision models are a general decision support methodology aimed at the classification or evaluation of options that accur in desion-making processes. Decision models are typically developed through the decomposition of complex decision problems into smaller and less comple subproblems. This paper presents an approach to the development and implementation of multicriteria decision model based on Analytical Hierarchy Process - AHP (Expert Choice, EC). Likewise, the AHP is used as a potential multicriteria decision making method for application in agriculture. In order to show the implementation of explained MCDA methods in real situation in agriculture, theapplication of AHP on a sample model farm is presented in the second part of the article.
Ključne besede: multicriteria decision analysis, MCDA, analytical hierarchy process, AHP, decision support system, DSS, agriculture
Objavljeno v DKUM: 20.07.2017; Ogledov: 1759; Prenosov: 223
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6. Simulation approach to warehouse cost minimization in stochastic environmentDavorin Kofjač, Miroljub Kljajić, 2006, izvirni znanstveni članek Opis: Background/Purpose: The objective of inventory management is to balance conflicting goals like keeping stock levels down to have cash available for other purposes and having high stock levels for the continuity of the production. Simulation approach is used to minimize total warehousing cost while no stock-outs occur and warehouse capacity is not exceeded. A case study of replenishment process optimization is presented on several representative materials of an automotive company using two replenishment algorithms: fix review period and full capacity ordering. The presented simulation results indicate considerable cost reduction without violating the mentioned constraints. The fuzzy logic evaluator, a decision support system used for simulation results assessment, is presented and discussed.
Ključne besede: inventory control, simulation, optimization, stochastic models, fuzzy sets, decision support system
Objavljeno v DKUM: 10.07.2015; Ogledov: 1646; Prenosov: 46
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7. How to create nursing care plan in collaboration with computerPeter Benedik, Uroš Rajkovič, Olga Šušteršič, Uroš Jože Kralj, 2012, objavljeni povzetek znanstvenega prispevka na konferenci Ključne besede: zdravstvena nega, načrt zdravstvene nege, podpora odločanju, priporočilni sistem, nursing, nursing care plan, decision support, recommendation system
Objavljeno v DKUM: 10.07.2015; Ogledov: 1556; Prenosov: 92
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