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A balanced performance measurement system for automotive spare parts supply chain

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper aims to provide a performance measurement system for the automotive spare parts supply chain. We focus on an independent distributor belonging to an independent channel. The framework encompasses different performance aspects for a high supply chain visibility, as well as the required categories, subcategories and key performance indicators for the automotive spare parts supply chain performance measurement. The framework is the first contribution that advances the performance measurement in the automotive aftermarket and allows assessing the performance of the automotive spare parts supply chain as a whole.
Rocznik
Tom
Strony
25--55
Opis fizyczny
Bibliogr. 23 poz.
Twórcy
  • Laboratory of Engineering, Industrial Management and Innovation, Hassan First University, Faculty of Science and Technology, Km. 3, B.P. 577, Settat, Morocco
  • Laboratory of Engineering, Industrial Management and Innovation, Hassan First University, Faculty of Science and Technology, Km. 3, B.P. 577, Settat, Morocco
  • Laboratory of Engineering, Industrial Management and Innovation, Hassan First University, Faculty of Science and Technology, Km. 3, B.P. 577, Settat, Morocco
Bibliografia
  • 1. Bacchetti Andrea, Saccani Nicola. 2012. "Spare part classification and demand forecasting for stock control: Investigating the gap between research and practice". Omega. 40: 722-737.
  • 2. Michalski R., S. Wierzbicki. 2008. „An analysis of degradation of vehicles in operation”. Eksploatacja i Niezawodnosc – Maintenance and Reliability 1: 30-32.
  • 3. Botha Andries, Jacomine Grobler, V.S. Sarma Yadavalli. 2017. „System dynamics comparison of three inventory management models in an automotive parts supply chain”. Journal of Transport and Supply Chain Management 11(a281).
  • 4. Matuszek Jozef, Tomasz Seneta, Luboslav Dulina, Eleonora Bigosova. 2020. „Manufacturability Assessment of the Product Assembly Processes Design in the Automotive Industry”. Communications - Scientific Letters of the University of Zilina 22(4): 112-120. DOI: 10.26552/com.C.2020.4.112-120.
  • 5. Berrehal Ryma, S. Benissaad. 2016. „Determining the optimal periodicity for preventive replacement of mechanical spare parts”. Mechanika 22(2): 156-161.
  • 6. Dyakov Ivan, Olegas Prentkovskis. 2008. “Optimization problems in designing automobiles”. Transport 23(4): 316-322.
  • 7. Chieux T, Guillaneuf V, Whiteman J. 2005. "Aftermarket Parts: Changing Channels Under 1400/02". Solihull. UK: ICDP.
  • 8. Charan Parikshit. 2012. "Supply chain performance issues in an automobile company: a SAP‐LAP analysis". Measuring Business Excellence. 16(1): 67-86.
  • 9. Barkawi and Partners GmbH. 2002. Global Study on Spare Parts Logistics. Munich.
  • 10. De Leeuw Sander, Beekman Loek. 2008. "Supply chain-oriented performance measurement for automotive spare parts", International Journal of Automotive Technology and Management. 8(1): 56-70.
  • 11. Grimaldi Sabrina, Rafele Carlo. 2007. "Current applications of a reference framework for the supply chain performance measurement". International Journal of Business Performance Management. 9(2): 206-225.
  • 12. Gaiardelli Paolo, Saccani Nicola, Songini Lucrezia. 2007. "Performance measurement systems in after-sales service: an integrated framework". International Journal of Business Performance Management. 9(2): 145-171.
  • 13. Leonard FS, Sasser WE. 1982. "The Incline of Quality", Harvard Business Review. 60(5): 163-171.
  • 14. Berry Leonard L, Bennett David R, Brown Carter W. 1989. "Service quality: A profit strategy for financial institutions. Irwin Professional Pub.
  • 15. Parasuraman Ananthanarayanan. 1997. "Reflections on gaining competitive advantage through customer value". Journal of the Academy of Marketing Science. 25(2): 154-161.
  • 16. Jensen, Hans Rask. 2001."Antecedents and consequences of consumer value assessments: implications for marketing strategy and future research". Journal of Retailing and Consumer Services. 8(6): 299-310.
  • 17. Dolgui Alexandre, Proth Jean-Marie. 2010. "Warehouse Management and Design". Chap. 11 in Supply Chain Engineering – Useful Methods and Techniques: 419-447. London: Springer.
  • 18. Kucera Tomas. 2019. „Application of the Activity-Based Costing to the Logistics Cost Calculation for Warehousing in the Automotive Industry”. Communications - Scientific Letters of the University of Zilina 21(4): 35-42. DOI: 10.26552/com.C.2019.4.35-42.
  • 19. De Koster MBM, Warffemius PMJ. 2005. "American, Asian and third‐party international warehouse operations in Europe: A performance comparison". International Journal of Operations & Production Management. 25(8): 762-780.
  • 20. Van den Berg, Jeroen. P. and Zijm, Willem HM. (1999), "Models for warehouse management: Classification and examples". International journal of production economics. 59 (1-3). 519-528.
  • 21. Wu Yifan, Dong Ming. 2008. "Combining multi-class queueing networks and inventory models for performance analysis of multi-product manufacturing logistics chains". The International Journal of Advanced Manufacturing Technology. 37(5-6): 564-575.
  • 22. Keebler, James S. and Plank, Richard E. 2009. "Logistics performance measurement in the supply chain: a benchmark". Benchmarking: An International Journal. 16(6): 785-798.
  • 23. Armstrong, Michael. 2009. Armstrong’s Handboo
Uwagi
PL
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-475231ef-0c3a-4fc0-962f-2dc52327b4ed
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