Powiadomienia systemowe
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
- Sesja wygasła!
Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Obsługa techniczna samochodów ciężarowych: międzynarodowe badanie kierowców ciężarówek
Języki publikacji
Abstrakty
Since the implementation of modern approaches in operation maintenance, drivers are expected to be integrated into the entire system of maintenance in order to take over the professional competencies of maintenance workers. For this purpose, an international study was conducted on a sample of 249 truck drivers, with the aim to determine how maintenance in transport companies affects the role of heavy truck drivers in fleet maintenance. Based on the developed SEM model, it was determined that building an efficient maintenance infrastructure in transport companies enables the active participation of truck drivers in the company’s maintenance system. Drivers are capable of repairing minor failures, but only if they are proactive, which will affect their preventive behaviour. This can greatly benefit transport companies, as the results show that the vehicles are utilised more efficiently and in a better technical condition. The results therefore represent an important guideline for improving maintenance in transport companies, developing new competencies of truck drivers and upgrading existing knowledge in the development of modern operation maintenance.
Od czasu wdrożenia nowoczesnych metod obsługi technicznej, kierowcy powinni zostać zintegrowani z całym systemem obsługi technicznej, aby przejąć kompetencje zawodowe pracowników obsługi technicznej. W tym celu przeprowadzono międzynarodowe badanie na próbie 249 kierowców ciężarówek w celu ustalenia, w jaki sposób obsługa techniczna w firmach transportowych wpływa na rolę kierowców ciężarówek w utrzymaniu floty. Na podstawie opracowanego modelu równania strukturalnego (SEM) ustalono, że zbudowanie efektywnej infrastruktury serwisowej w firmach transportowych umożliwia aktywny udział kierowców ciężarówek w systemie obsługi technicznej firmy. Kierowcy są zdolne do naprawy drobnych usterek, ale tylko wtedy, gdy są proaktywni, co wpłynie na ich zachowanie zapobiegawcze. Może to być bardzo korzystne dla firm transportowych, ponieważ wyniki pokazują, że pojazdy są użytkowane bardziej wydajnie i w lepszym stanie technicznym. Wyniki stanowią zatem ważną wskazówkę dotyczącą poprawy obsługi technicznej w firmach transportowych poprzez rozwój nowych kompetencji kierowców ciężarówek i poszerzanie istniejącej wiedzy w zakresie rozwoju nowoczesnej obsługi technicznej.
Czasopismo
Rocznik
Tom
Strony
493--500
Opis fizyczny
Bibliogr. 39 poz., rys., tab.
Twórcy
autor
- University of Ljubljana Faculty of Maritime Studies and Transport Pot pomorščakov 4, 6320 Portorož, Slovenia
autor
- Vilnius Gediminas Technical University Faculty of Transport Engineering J. Basanavičiaus 28, LT-03224 Vilnius, Lithuania
autor
- University of Maribor Faculty of Criminal Justice and Security Kotnikova ulica 8, 1000 Ljubljana, Slovenia
Bibliografia
- 1. Andersson R, Manfredsson P, Lantz B. Total productive maintenance in support processes: an enabler for operation excellence. Total Quality Management & Business Excellence 2015; 26(9-10): 1042-1055, https://doi.org/10.1080/14783363.2015.1068598.
- 2. Anderson J C, Gerbing D W. Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin 1988; 103(3): 411-23, https://doi.org/10.1037/0033-2909.103.3.411.
- 3. Antosz K. Maintenance - identification and analysis of the competency gap. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2018; 20(3): 484-494, https://doi.org/10.17531/ein.2018.3.19.
- 4. Bokrantz J, Skoogh A, Berlin C, Stahre J. Maintenance in digitalised manufacturing: Delphi-based scenarios for 2030. International Journal of Production Economics 2017; 191: 154-169, https://doi.org/10.1016/j.ijpe.2017.06.010.
- 5. Boomsma A, Hoogland J J. The robustness of LISREL modeling revisited. In R. 2001.
- 6. Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Heavy and Tractor-trailer Truck Drivers. Available at https://www.bls.gov/ooh/transportation-and-material-moving/heavy-and-tractor-trailer-truck-drivers.htm (visited July 19, 2019).
- 7. Dekker R. Applications of maintenance optimization models: a review and analysis. Reliability Engineering & System Safety 1996; 51(3): 229-240 https://doi.org/10.1016/0951-8320(95)00076-3.
- 8. Directive 2014/45/EU of the European Parliament and of the Council of 3 April 2014 on periodic roadworthiness tests for motor vehicles and their trailers and repealing Directive 2009/40/EC Text with EEA relevance. Available at http://data.europa.eu/eli/dir/2014/45/oj, (visited December 19, 2019).
- 9. Directive 2014/46/EU of the European Parliament and of the Council of 3 April 2014 amending Council Directive 1999/37/EC on the registration documents for vehicles. Available at http://data.europa.eu/eli/dir/2014/46/oj, (visited December 19, 2019).
- 10. Directive 2014/47/EU of the European Parliament and of the Council of 3 April 2014 on the technical roadside inspection of the roadworthiness of commercial vehicles circulating in the Union and repealing Directive 2000/30/EC. Available at http://data.europa.eu/eli/dir/2014/47/oj,(visited December 19, 2019).
- 11. Directive 2003/59/EC of the European Parliament and of the Council of 15 July 2003 on the initial qualification and periodic training of drivers of certain road vehicles for the carriage of goods or passengers, amending Council Regulation (EEC) No 3820/85 and Council Directive 91/439/EEC and repealing Council Directive 76/914/EEC. Available at http://data.europa.eu/eli/dir/2003/59/2019-07-26. (visited December 19, 2019).
- 12. Driver and Vehicle Standards Agency, DVSA, 2019. Available at https://www.gov.uk/government/organisations/driver-and-vehiclestandards-agency. (visited September 25, 2019).
- 13. Epler I, Sokolović V, Milenkov M, Bukvić M. Application of lean tools for improved effectiveness in maintenance of technical systems for special purposes. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2017; 19(4): 615-623, https://doi.org/10.17531/ein.2017.4.16.
- 14. Fornell C, Larcker D F. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research 1981, 18(1): 39-50, https://doi.org/10.2307/3151312.
- 15. Fornasiero R, Zangiacomi A, Sorlini M. A cost evaluation approach for trucks maintenance planning. Production Planning & Control 2012; 23(2-3): 171-182, https://doi.org/10.1080/09537287.2011.591641.
- 16. Gania I P, Fertsch M K, Jayathilaka K R K. Reliability Centered Maintenance Framework for Manufacturing and Service Company: Functional Oriented. 24th International Conference on Production Research 2017: 721-725.
- 17. Groebler A, Thun J H, Milling P M. System dynamics as a structural theory in operations management. Production and Opererations Management 2008; 17(3): 373-384, https://doi.org/10.3401/poms.1080.0023.
- 18. Habidin N, Hashim S, Fuzi N, Salleh M. Total productive maintenance, kaizen event, and performance. International Journal of Quality & Reliability Management 2018; 35(9): 1853-1867, https://doi.org/10.1108/IJQRM-11-2017-0234.
- 19. Hair J, Anderson R, Tatham R, Black W. Multivariate Data Analysis (5th ed.). London, Prentice Hall International. 1998.
- 20. Hege A, Perko M, Johnson A, Yu C H, Sönmez S, Apostolopoulos Y. Surveying the Impact of Work Hours and Schedules on Commercial Motor Vehicle Driver Sleep. Safety and Health at Work 2015, 6(2): 104-113, https://doi.org/10.1016/j.shaw.2015.02.001.
- 21. Hildebrandt L. Consumer retail satisfaction in rural areas: A reanalysis of survey Data. Journal of Economic Psychology 1987; 8(1): 19-42, https://doi.org/10.1016/0167-4870(87)90004-3.
- 22. Hu L, Bentler P M. Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods 1998; 3(4): 424-453, https://doi.org/10.1037/1082-989X.3.4.424.
- 23. Kline R B. Principles and practice of structural equation modeling. New York: Guilford Press. 2011
- 24. Legutko S. Development trends in machines operation maintenance. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2009; 42(2): 8-16.
- 25. Levitt J, Complete Guide to Preventive and Predictive Maintenance. Industrial Press Inc, New York. 2011.
- 26. Linneusson G, Ng H C, Amos, A T. Towards strategic development of maintenance and its effects on production performance by using system dynamics in the automotive industry. International Journal of Production Economics 2018; 200: 151-169, https://doi.org/10.1016/j.ijpe.2018.03.024.
- 27. Lowe D. Pidgeon, C. Lowe's Transport Manager's and Operator's Handbook. Kogan Page; 49th edition, 2019.
- 28. Moniri Morad A, Pourgol-Mohammad M, Sattarvand J. Application of reliability-centered maintenance for productivity improvement of open pit mining equipment: Case study of Sungun Copper Mine. Journal of Central South University of Technology 2014; 21(6): 2372-2382, https://doi.org/10.1007/s11771-014-2190-2.
- 29. Moubray J. Maintenance management - a new paradigm. Aladon Ltd, 1996.
- 30. Muha R, Sever D. The impact of regulation 561/2006 on fleet management viewed through efficient use of drivers' working time. Promet-Traffic&Transportation 2009; 21(1): 61-67, https://doi.org/10.7307/ptt.v21i1.913.
- 31. Nunnally J. Psychometric Theory (2nd ed.). New York: McGraw-Hill.of Research in Marketing, 1978.
- 32. Rögnvaldsson T, Nowaczyk S, Byttner S, Prytz R. Svensso M. Self-monitoring for maintenance of vehicle fleets. Data Mining and Knowledge Discovery 2018; 32(2): 344-384, https://doi.org/10.1007/s10618-017-0538-6.
- 33. Roy R , Stark R, Tracht K, Takata S, Mori M. Continuous maintenance and the future - Foundations and technological challenges. CIRP Annals -Manufacturing Technology 2016; 65: 667-688, https://doi.org/10.1016/j.cirp.2016.06.006.
- 34. Steenkamp J B, van Trijp H. Attribute Elicitation in Marketing Research: A Comparison of Three Procedures. Marketing Letters 1997; 8(2): 153-165, https://doi.org/10.1023/A:1007975518638.
- 35. Torkzadeh G, Koufteros X, Pflughoeft K. Confirmatory analysis of computer self-efficacy. Structural Equation Modeling: A Multidisciplinary Journal 2003; 10(2): 263-275, https://doi.org/10.1207/S15328007SEM1002_6.
- 36. Uradni list RS, št. 103/10, 63/12, 62/14 in 69/19. Pravilnik o temeljnih kvalifikacijah za voznike motornih vozil v cestnem prometu. Available at http://www.pisrs.si/Pis.web/pregledPredpisa?id=PRAV10254. (visited July 31, 2019).
- 37. Viera A L. & SpringerLink (Online Service). Interactive LISREL in Practice: Getting started with a SIMPLIS Approach. Heidelberg ; New York: Springer, 2011, https://doi.org/10.1007/978-3-642-18044-6.
- 38. Voronov S, Frisk E, Krysander M. Data-Driven Battery Lifetime Prediction and Confidence Estimation for Heavy-Duty Trucks. IEEE Transactions on Reliability 2018; 67(2): 1-17, https://doi.org/10.1109/TR.2018.2803798.
- 39. Zavod RS za zaposlovanje, 2019. Available at https://www.ess.gov.si/ncips/cips/opisi_poklicev/opis_poklica?Kljuc=2215&Filter. (visited July 19, 2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a26d8c24-fd01-4882-a2bf-a2762fd48736