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1.
A novel autonomous vehicle-based storage and retrieval system with movable lifts
Banu Y. Ekren, Tone Lerher, Boris Jerman, 2023, published scientific conference contribution

Abstract: This paper presents a novel autonomous vehiclebased storage and retrieval system with movable lifts (AVS/RS/ML) as an alternative automated warehousing technology to tier-captive shuttle-based storage and retrieval systems (SBS/RS). The proposed system aims to provide a costeffective, highly efficient, and adaptable solution for warehouse operations utilizing automated guided vehicles (AGVs) capable of travelling both inside and outside the warehouse. We simulate and analyse the system's performance based on its initial investment cost, throughput capacity, and average utilization of AGVs and movable lifts (MLs) under different warehouse designs.
Keywords: automated warehousing, AVS/RS, movable lifts with AGVs, storage and retrieval sequences, performance analyses
Published in DKUM: 19.02.2024; Views: 21; Downloads: 0
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2.
Multi-criteria measurement of ai support to project management
Vesna Čančer, Polona Tominc, Maja Rožman, 2023, original scientific article

Abstract: This paper aims to measure the level of artificial intelligence (AI) support to project management (PM) in selected service sector activities. The exploratory factor analysis was employed based on the extensive survey on AI in Slovenian companies and the multi-criteria measurement with an emphasis on value functions and pairwise comparisons in the analytic hierarchy process. The synthesis and performance sensitivity analysis results show that in the service sector, concerning all criteria, PM is with the level 0.276 best supported with AI in services of professional, scientific, and technical activities, which also stand out concerning the first-level goals in using AI solutions in a project with the value 0.284, and in successful project implementation using AI with the value 0.301. Although the lowest level of AI support to PM, which is 0.220, is in services of wholesale and retail trade and repair of motor vehicles and motorcycles, these services excel in adopting AI technologies in a project with a value of 0.277. Services of financial and insurance activities, with the level 0.257 second-ranked concerning all criteria, have the highest value of 0.269 concerning the first-level goal of improving the work of project leaders using AI. The paper, therefore, contributes to the comparison of AI support to PM in service sector activities. The results can help AI development policymakers determine which activities need to be supported and which should be set as an example. The presented methodological frame can serve to perform measurements and benchmarking in various research fields.
Keywords: artificial intelligence, factor analysis, multiple criteria, performance sensitivity, project management
Published in DKUM: 12.02.2024; Views: 72; Downloads: 8
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3.
Artificial-intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA environment
Maja Rožman, Dijana Oreški, Polona Tominc, 2023, original scientific article

Abstract: This paper aims to develop a multidimensional model of AI-supported employee workload reduction to increase company performance in today's VUCA environment. Multidimensional constructs of the model include several aspects of artificial intelligence related to human resource management: AI-supported organizational culture, AI-supported leadership, AI-supported appropriate training and development of employees, employees' perceived reduction of their workload by AI, employee engagement, and company's performance. The main survey involved 317 medium-sized and large Slovenian companies. Structural equation modeling was used to test the hypotheses. The results show that three multidimensional constructs (AI-supported organizational culture, AI-supported leadership, and AI-supported appropriate training and development of employees) have a statistically significant positive effect on employees' perceived reduction of their workload by AI. In addition, employees' perceived reduced workload by AI has a statistically significant positive effect on employee engagement. The results show that employee engagement has a statistically significant positive effect on company performance. The concept of engagement is based on the fact that the development and growth of the company cannot be achieved by increasing the number of employees or by adding capital; the added value comes primarily from increased productivity, which is a result of the innovative ability of employees and their work engagement, which improve the company's performance. The results will significantly contribute to creating new views in the field of artificial intelligence and adopting important decisions in creating working conditions for employees in today's rapidly changing work environment.
Keywords: artificial intelligence, leadership, employee engagement, company performance
Published in DKUM: 02.02.2024; Views: 83; Downloads: 16
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The role of performance and environmental sustainability indicators in hotel competitiveness
Zorica Đurić, Jasna Potočnik Topler, 2021, original scientific article

Abstract: Environmental protection and environmental sustainability are becoming increasingly important factors in the hotel business and their competitiveness, in a market that brings numerous benefits. Environmental sustainability is, increasingly, considered one of the most important functions of the hotel business, as well as communication and marketing, which attracts a larger number of guests. Some of the key aspects of hotel environmental sustainability are performance and environmental sustainability indicators, as well as hotel management of environmental performance in order to establish efficiency in that process. The principal question arising is how environmentally sustainable business affects hotel performance, and what are the most important indicators of the environmental hotel business. The aim of this article is to offer an insight into, and analysis of, performance and indicators of the environmental sustainability of hotels through the relevant literature. A case study from Serbia is used to point out the complexity and the significance of these indicators in the hotel business, as well as to emphasise the importance of environmental reports in the case of Serbia. The findings of our study are significant because they help hotel managers identify new opportunities for employing more sustainable processes for saving resources.
Keywords: sustainable business, tourism, performance, indicators, hotels, communication, marketing
Published in DKUM: 23.01.2024; Views: 54; Downloads: 8
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6.
Energy Efficiency Indicators of a Single Unit House
Iztok Brinovar, Gregor Srpčič, Zdravko Praunseis, Sebastijan Seme, Bojan Štumberger, Miralem Hadžiselimović, 2019, published scientific conference contribution

Abstract: This article deals with the evaluation of energy efficiency indicators of an older single unit house with the use of "KI energija 2017" software, which is widely used among qualified Slovenian experts authorized to carry out the energy performance assessments and issue an energy performance certificate. The energy performance analysis before and after the implementation of proposed measures has shown significant energy saving potential in renovation of existing buildings.
Keywords: energy efficiency, energy indicators, energy performance, building renovation, CO2 emissions
Published in DKUM: 04.12.2023; Views: 243; Downloads: 8
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7.
Drivers for enhancing job performance of prison officers in Slovenia : effects of job attitudes, organizational, and work-related factors
Katrin Podgorski, Branko Lobnikar, Anže Mihelič, Kaja Prislan Mihelič, 2023, original scientific article

Abstract: Maintaining order and safety in a prison environment heavily depends on prison officers, who daily interact with prisoners and are constantly dealing with dangerous situations. Their task performance is vital for the organizational performance and the fulfillment of the prisons’ mission. For managing prison officers’ job performance efficiently, it is important to understand the associated factors; however, job performance in a prison environment remains completely unexplored in Slovenia. This article presents a study conducted among Slovenian prison officers (n = 201), which examined their task performance, its association with job attitudes, and the role of organizational and work-related factors. The study results showed that the prison officers’ task performance is associated with their job satisfaction, but not with their job involvement. Moreover, their job satisfaction is associated with perceived organizational justice, job stress, and the dangerousness of the job. Based on these findings, we demonstrated that task performance depends on several direct and indirect factors that prison management should prioritize, the key ones being stress reduction, strengthening the feeling of organizational justice, and the ability to deal with the job-related dangers successfully. This article highlights organizational and work-related factors important for improving the prison officers’ well-being at work.
Keywords: job performance, task performance, workplace psychology, prisons, rison officers
Published in DKUM: 29.11.2023; Views: 172; Downloads: 7
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8.
A conceptual model of developing an agile work environment
Katja Crnogaj, Polona Tominc, Maja Rožman, 2022, original scientific article

Abstract: This study has highlighted the need for an agile work environment to enhance companies’ performance, growth, and sustainability. In today’s rapidly changing business world, the goal of every individual and team in a company should be to deliver value to customers. The paper highlights theoretical and empirical evidence on the importance of an agile work environment and its positive effect on company performance. In addition, the paper provides insights into the important concept of developing an agile work environment and offers a conceptual model with five selected constructs, which can be leveraged to build an agile mindset in companies. Moving away from traditional leadership models, this paper highlights the significant role that agile leadership can play in enhancing effectiveness and performance, even in long-established large companies. The empirical research was based on 468 randomly selected medium and large Slovenian companies. Structural equation modelling (SEM) was used to test the model. The empirical results show that changing and adaptive agile companies are the ones that thrive more easily in an environment that is unpredictable and characterized by rapid change.
Keywords: agility, agile work environment, company performance, conceptual model
Published in DKUM: 21.09.2023; Views: 217; Downloads: 17
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9.
An optimisation model for minimising totes exchange in VLM and SBS/RS integrated system
Jakob Marolt, Goran Đukić, Fabio Sgarbossa, Tone Lerher, 2022, published scientific conference contribution

Abstract: Warehouses and distribution centres are based on integrated material handling solutions. Most of the research papers in intralogistics are only concerned with one system to analyse and optimise the addressed system's performance, such as maximum throughput performance, minimum total cost, maximum energy efficiency, etc. This paper presents a concept to justify the proposed VLM and SBS/RS integrated system and a binary integer programming (BIP) model that minimises totes exchange between the two storage systems. The results show that the minimal number of exchanges between VLM and SBS/RS was achieved in a case study with a longer order list (T = 1600) and a highly dependent SKU's Pareto relationship (20-50).
Keywords: automated warehousing, intralogistics, VLM, SBS, RS, integrated systemoptimisation, performance analysis
Published in DKUM: 02.08.2023; Views: 245; Downloads: 28
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10.
Product assembly assistance system based on pick-to-light and computer vision technology
Darko Hercog, Primož Bencak, Uroš Vincetič, Tone Lerher, 2022, original scientific article

Abstract: Product assembly is often one of the last steps in the production process. Product assembly is often carried out by workers (assemblers) rather than robots, as it is generally challenging to adapt automation to any product. When assembling complex products, it can take a long time before the assembler masters all the steps and can assemble the product independently. Training time has no added value; therefore, it should be reduced as much as possible. This paper presents a custom-developed system that enables the guided assembly of complex and diverse products using modern technologies. The system is based on pick-to-light (PTL) modules, used primarily in logistics as an additional aid in the order picking process, and Computer Vision technology. The designed system includes a personal computer (PC), several custom-developed PTL modules and a USB camera. The PC with a touchscreen visualizes the assembly process and allows the assembler to interact with the system. The developed PC application guides the operator through the assembly process by showing all the necessary assembly steps and parts. Two-step verification is used to ensure that the correct part is picked out of the bin, first by checking that the correct pushbutton on the PTL module has been pressed and second by using a camera with a Computer Vision algorithm. The paper is supported by a use case demonstrating that the proposed system reduces the assembly time of the used product. The presented solution is scalable and flexible as it can be easily adapted to show the assembly steps of another product.
Keywords: product assembly, PTL, pick-to-light, computer vision, LabVIEW, performance analysis
Published in DKUM: 31.07.2023; Views: 287; Downloads: 16
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