1. Does organizational support really influence satisfaction and well-being during enforced working from home?Marcin Butlewski, Wiktoria Czernecka, Piotr Janiszewski, Joanna Bogajewska-Danek, Brigita Gajšek, Marcin Suszyński, Jinal Parikh, 2024, izvirni znanstveni članek Opis: Theoretical background: The transition to enforced working from home (EWfH) due to the COVID-19 pandemic has dramatically altered work dynamics, necessitating a reevaluation of traditional labor relations and service delivery. This shift underscores the need for comprehensive organizational support, with theoretical frameworks like the job demands-resources (JD-R) model and work-life boundary management theory highlighting the impact of remote work on employee well-being, productivity, and job satisfaction. These frameworks suggest that well-being is influenced by the balance between job demands and resources, and how individuals manage work-life boundaries, laying the groundwork for exploring how organizational support can address EWfH challenges. Purpose of the article: This article aims to delve into organizational support during EWfH and its impact on employee well-being. It focuses on identifying critical support aspects and their influence on subjective well-being, providing insights into effective remote work practices and guiding organizations in supporting their workforce post-pandemic. Research methods: Employing a mixed-methods approach, the study surveyed 429 Polish employees across different sectors, complemented by qualitative interviews for deeper insight. This methodology enabled the collection of comprehensive data on employer support perceptions and their impact on remote working well-being, analyzed through statistical and thematic analysis methods. Main findings: Key findings underscore the importance of effective communication, resource access, well-being support, and career growth opportunities as crucial organizational support aspects for remote employees. A significant correlation was found between organizational support levels and enhanced employee well-being, with higher support linked to reduced stress, improved work-life balance, and increased job satisfaction. The study also emphasizes the need for personalized support strategies, accounting for individual differences and home working environments, to foster a positive remote working experience and ensure long-term productivity and well-being. The main application of your paper, which examines the impact of company policies on employee well-being during EWfH, could be the development of a comprehensive guide or toolkit for organizations to better support their remote workforce. This application would be particularly relevant to HR departments, managers and organizational leaders.
Ključne besede: well-being, organizational support, ergonomics
Objavljeno v DKUM: 27.03.2025; Ogledov: 0; Prenosov: 1
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2. Use of the methodology of network thinking for a fatigue criteria investigation based on the example of mining companiesMarcin Butlewski, Grzegorz Dahlke, Milena Drzewiecka-Dahlke, Krzysztof Hankiewicz, Adam Górny, Brigita Gajšek, 2020, izvirni znanstveni članek Opis: In the paper the factors of workers fatigue were tested by applying network thinking methodology supported by statistical analysis to determine the nature of individual factors for the fatigue management system development. Analysis of the distribution of factors along the intensity map allowed their classification into individual interaction categories, describing directions for miner fatigue management. Active factors were discovered which are: Elevated temperature, Noise and vibration, Oxygen-poor air and mining gases, High humidity, Poor work organization. Critical factors for fatigue management were: Poor technical condition of equipment and Long and time-consuming approach to headings.
Ključne besede: fatigue factors, fatigue management, mine, miners, network thinking, safety
Objavljeno v DKUM: 15.01.2025; Ogledov: 0; Prenosov: 6
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3. Vključevanje orodij umetne inteligence v celovite informacijske rešitve: primer napovedovanja prodaje in zalogGarvin Gajšek, 2024, magistrsko delo Opis: Izziv dela predstavlja integracijo celovitih informacijskih rešitev s tehnologijami umetne inteligence za napovedovanje prodaje in upravljanje zalog v podjetjih, s posebnim poudarkom na platformi Microsoft Dynamics 365 Business Central. V sodobnem poslovnem okolju predstavlja napovedovanje prodaje in zalog enega izmed ključnih elementov za ohranjanje konkurenčne prednosti podjetij. Zaradi naraščajočega pomena teh dejavnikov se vse pogosteje poslužujemo orodij umetne inteligence in strojnega učenja, ki omogočajo bolj natančne in pravočasne napovedi ter optimizacijo zalog. Ena izmed glavnih prednosti strojnega učenja je sposobnost obravnave kompleksnih podatkovnih nizov, ki vključujejo več dejavnikov ali značilk. S tem lahko izboljšamo model in natančnost napovedi, saj lahko algoritmi strojnega učenja učinkoviteje izkoristijo informacije, ki jih vsebujejo podatki. Ta pristop nam daje pomembno prednost nad konkurenco in nam omogoča, da ostajamo korak pred njo v dinamičnem poslovnem okolju. Seveda pa je ključnega pomena pravilna izbira dejavnikov, ustrezna obdelava podatkov ter izbira ustrezne metode strojnega učenja, da lahko dosežemo najboljše rezultate pri napovedovanju. Velik izziv na področju na tem področju je zato vprašanje, katere podatke in zgodovino podatkov umetna inteligenca uporablja in potrebuje za izvajanje kvalitetnih napovedi.
V magistrskem delu predstavimo osnovne paradigme strojnega učenja (angl. machine learning, v nadaljevanju ML), ki so uporabljene v našem eksperimentu napovedovanja prodaje iz zalog. Opisani so elementi poteka dela ML, okvir regresijsko temelječih metod ML in ocenjevalne matrike ML. Pomemben del naloge je posvečen analizi in opisu programske kode jezika R, s katero poglobimo razumevanje delovanja modela strojnega učenja v okolju Azure Machine Learning (v nadaljevanju AML) Studio. Model strojnega učenja v AML Studio je nato objavljen kot spletna storitev, do katere dostopamo preko REST (prenos predstavitvenega stanja, angl. REpresentational State Transfer, v nadaljevanju REST) API (aplikacijski programski vmesnik, angl. Application Programming Interface, v nadaljevanju API) protokola.
V nadaljevanju je opisan razvoj razširitve Business Centrala, ki predstavlja jedro izvedbe napovedovanja in integracije vtičnika strojenega učenja. Razširitev služi kot neposredni komunikator med uporabnikom in modelom strojnega učenja. Končnemu uporabniku Business centrala omogoča izvajanje funkcij učenja, ocenjevanja in napovedovanja.
Magistrsko delo zaključimo z interpretacijo kvantitativnih rezultatov napovedi. Kvantitativna primerjava rezultatov različnih modelov strojenega učenja nam pokaže, da eksperiment strojnega učenja sicer izpolnjuje osnovne pogoje in procese napovedovanja, a se sooča z določenimi pomanjkljivostmi.
Ključne besede: umetna inteligenca, strojno učenje, celovite informacijske rešitve, napovedovanje prodaje in zalog, nadzorovano učenje.
Objavljeno v DKUM: 07.01.2025; Ogledov: 0; Prenosov: 37
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4. Closed-loop supply chain and impacts on sustainability, comprehending logistics sustainability capacity building : dialogues, paradoxes and innovationLobna Tag el Sheikh, 2024, doktorska disertacija Opis: This thesis focuses on creating a framework for evaluating the influence of closed-loop on supply chain performance in the case of petrochemical industry in the Egyptian context, with a focus to test the influence of sustainability on the supply chain performance, to investigate the function of sustainability as a mediator between reverse logistics and supply chain performance, and evaluate the impact of closed-loop supply chains (environmental legislation, customer awareness and economic motivations) on sustainable development. The gathering of primary data helped the current study's goals get accomplished. Surveys are used to gather data to estimate how reverse logistics impacts the effectiveness of the supply chain. The employees of supply chain companies in Egypt received the surveys from the researcher. The study's findings indicate a strong link between sustainability and reverse logistics. Additionally, there is a marginally significant correlation between supply chain performance and sustainability. The outcomes also showed that the closed-loop supply chain has little influence on supply chain efficiency and sustainability. Furthermore, there is a marginally significant association between supply chain effectiveness and reverse logistics. The results also revealed that sustainability has a function in supply chain performance and reverse logistics.
Ključne besede: closed loop-supply chain, reverse logistics, supply chain performance, sustainability, logistics, capacity building
Objavljeno v DKUM: 16.10.2024; Ogledov: 0; Prenosov: 9
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5. Analysing picking errors in vision picking systemsEla Vidovič, Brigita Gajšek, 2020, izvirni znanstveni članek Opis: Vision picking empowers users with access to real-time digital order information, while freeing them from handheld radio frequency devices. The smart glasses, as an example of vision picking enabler, provide visual and voice cues to guide order pickers. The glasses mostly also have installed navigation features that can sense the order picker's position in the warehouse. This paper explores picking errors in vision systems with literature review and experimental work in laboratory environment. The results show the effectiveness of applying vision picking systems for the purposes of active error prevention, when they are compared to established methods, such as paper-picking and using cart mounted displays. A serious competitor to vision picking systems are pick-to-light systems. The strong advantage of vision picking system is that most of the errors are detected early in the process and not at the customer's site. The cost of fixing the error is thus minimal. Most errors consequently directly influence order picker's productivity in negative sense. Nonetheless, the distinctive feature of the system is extremely efficient error detection.
Ključne besede: order picking, storage operations, warehousing, smart glasses, error prevention, inventory management, intralogistics
Objavljeno v DKUM: 22.08.2024; Ogledov: 83; Prenosov: 4
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6. Traffic density-related black carbon distribution : impact of wind in a basin townBorut Jereb, Brigita Gajšek, Gregor Šipek, Špela Kovše, Matevž Obrecht, 2021, izvirni znanstveni članek Opis: Black carbon is one of the riskiest particle matter pollutants that is harmful to human health. Although it has been increasingly investigated, factors that depend on black carbon distribution and concentration are still insufficiently researched. Variables, such as traffic density, wind speeds, and ground levels can lead to substantial variations of black carbon concentrations and potential exposure, which is even riskier for people living in less-airy sites. Therefore, this paper "fills the gaps" by studying black carbon distribution variations, concentrations, and oscillations, with special emphasis on traffic density and road segments, at multiple locations, in a small city located in a basin, with frequent temperature inversions and infrequent low wind speeds. As wind speed has a significant impact on black carbon concentration trends, it is critical to present how low wind speeds influence black carbon dispersion in a basin city, and how black carbon is dependent on traffic density. Our results revealed that when the wind reached speeds of 1 ms-1 , black carbon concentrations actually increased. In lengthy wind periods, when wind speeds reached 2 or 3 ms-1 , black carbon concentrations decreased during rush hour and in the time of severe winter biomass burning. By observing the results, it could be concluded that black carbon persists longer in higher altitudes than near ground level. Black carbon concentration oscillations were also seen as more pronounced on main roads with higher traffic density. The more the traffic decreases and becomes steady, the more black carbon concentrations oscillate.
Ključne besede: black carbon, black carbon concentration, traffic pollution, air pollution, wind, traffic density, logistics, basin city
Objavljeno v DKUM: 20.08.2024; Ogledov: 44; Prenosov: 8
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7. Towards productive and ergonomic order picking : multi-objective modeling approachBrigita Gajšek, Simona Šinko, Tomaž Kramberger, Marcin Butlewski, Eren Özceylan, Goran Đukić, 2021, izvirni znanstveni članek Opis: The logistics sector should strive for sustainability alongside productivity by protecting its order pickers' health and welfare. Existing storage assignment models are mainly based on the criterion of order picking time and, to a lesser extent, the human factor. In the paper, a solution to a storage assignment problem using a multi-objective model based on binary integer linear programing is presented by developing a solution that considers order picking time, energy expenditure and health risk. The Ovako Working Posture Assessment System (OWAS) method was used for health risk assessment. The downside of solely health risk-optimization is that the average order picking time increases by approximately 33 % compared to solely time-optimization. Contrary to this, the developed multi-objective function emphasizing time has proven to be promising in finding a compromise between the optimal order picking time and eliminating work situations with a very-high risk for injuries. Its use increases the time by only 3.8 % compared to solely time-optimization while significantly reducing health risk.
Ključne besede: productivity, energy expenditure, order picking, order picking system, health risk, OWAS, multi-objective modeling, planning, logistics, ergonomics
Objavljeno v DKUM: 13.08.2024; Ogledov: 109; Prenosov: 10
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8. Single-tray VLM vs dual-tray VLM : quantitative throughput comparisonGoran Đukić, Tihomir Opetuk, Brigita Gajšek, Tone Lerher, 2021, izvirni znanstveni članek Opis: In this paper quantitative comparison of resulting throughputs for single-tray and dual-tray VLM devices is presented. Comparison is based on mathematical models for throughput approximating dual command times of VLM's crane, for selected parameters of VLM device (height and crane's velocity) and selected picking times per delivered tray. Analysis showed that throughput increase achieved by using dual-tray VLM's depends mostly on the average picking time relative to the expected dual command time of the VLM's crane. Highest improvements are possible for picking time equal to expected dual command time and amounts over 80%, however for extremely low or high picking times improvements are significantly reduced.
Ključne besede: order-picking, throughput model, vertical lift module systems, quantitative analysis, intralogistics, dual-tray VLM, single-tray VLM
Objavljeno v DKUM: 12.08.2024; Ogledov: 48; Prenosov: 9
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9. Uporaba umetne inteligence v procesu upravljanja projektov : diplomsko deloRobert Mohorko, 2024, diplomsko delo Opis: Upravljanje projektov omogoča načrtovanje, izvedbo, nadzor in zaključevanje projektov znotraj časovnih, proračunskih in kakovostnih omejitev. Izvaja se v različnih sektorjih, vključno z gradbeništvom, informacijskimi tehnologijami, zdravstvom, izobraževanjem, finančnimi storitvami in drugimi. Digitalna tehnologija, kot so specializirana programska oprema, orodja za sodelovanje v realnem času in umetna inteligenca, igra ključno vlogo pri izboljšanju učinkovitosti in preglednosti upravljanja projektov ter spodbuja boljše sodelovanje. Diplomsko delo se osredotoča na raziskovanje vloge umetne inteligence pri upravljanju projektov ter ocenjuje priložnosti in izzive njene uporabe. V teoretičnem delu so predstavljene osnove upravljanja projektov in umetne inteligence, medtem ko se v empiričnem delu osredotočamo na pregled literature in trendov s področja uporabe umetne inteligence pri projektnem upravljanju. Ugotavljamo, da uporaba umetne inteligence pri projektnem upravljanju izboljšuje hitrost odločanja, omogoča hitrejše in učinkovitejše napovedovanje tveganj in prilagajanje načrta projekta v realnem času.
Ključne besede: umetna inteligenca, proces, upravljanje, projekt
Objavljeno v DKUM: 05.07.2024; Ogledov: 144; Prenosov: 62
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10. Vpliv dolžine nohtov na kazalnike opravljanja aktivnosti pri pripravi in pakiranju pošiljke : magistrsko deloLara Sladič, 2024, magistrsko delo Opis: Namen magistrskega dela je bil ugotoviti, ali dolžina nohtov vpliva na kazalnike opravljanja aktivnosti priprave in pakiranja pošiljk. V raziskavi je sodelovalo 15 udeleženk. Udeleženke so med izvajanjem aktivnosti nosile očala za sledenje pogledu, s pomočjo katerih smo posneli celoten potek eksperimenta. Videoposnetki so nam služili za pridobitev časov izvajanja posameznih aktivnosti. Udeleženke smo razdelili v dve skupini: skupina 1 – udeleženke s kratkimi nohti (od 0 mm do 3 mm, merjeno od blazinice prsta) in skupina 2 – udeleženke z dolgimi nohti (4 mm ali več). Po opravljenem eksperimentu je vsaka udeleženka izpolnila dva vprašalnika. Namen prvega je bil zbrati njihove demografske podatke, namen drugega (NASA TLX) pa določiti indeks obremenitve med izvajanjem aktivnosti. V rezultatih in diskusiji smo primerjali čase za izvedbo posameznih aktivnosti in indekse obremenitev med obema skupinama. Korelacija med obema spremenljivkama je pokazala, da obstaja pozitivna (linearna) povezanost med časom izvajanja aktivnosti in občuteno obremenitvijo. Na podlagi statistične analize vzorca smo ugotovili, da so v sklopu eksperimenta udeleženke s kratkimi nohti porabile manj časa za izvedbo aktivnosti in izrazile nižjo stopnjo obremenjenosti kot udeleženke z dolgimi nohti. Zaradi bistvene omejitve raziskav – majhnega vzorca ugotovitev naloge ne moremo posplošiti na celotno populacijo.
Ključne besede: obremenitev pri izvedbi aktivnosti, dolžina nohtov, kazalniki opravljanja aktivnosti, logistične aktivnosti, študija časa
Objavljeno v DKUM: 05.07.2024; Ogledov: 136; Prenosov: 47
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