PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Quality control in dairy supply chain management

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Kontrola jakości w zarządzaniu łańcucha dostaw
Języki publikacji
EN
Abstrakty
EN
The main objective of the article is to study the prospects and opportunities for improving the efficiency of dairy supply chain management through the implementation of the supply chain quality integration (SCQI) model. The study is performed on data collected from three dairy companies: Agroindustrial Company Adal (Kazakhstan), Dean Foods (USA) and Hochwald (Germany). A methodological approach to the evaluation of the vector length is proposed to measure the effectiveness of SCQI model implementation. Three alternative scenarios for the implementation of SCQI are proposed. For Dean Foods, a focus on integration with suppliers is suggested. Hochwald, in turn, should improve its supply chain efficiency via internal integration, while Adal is proposed to improve its value creation effectiveness for consumers. Effectiveness evaluation of the implied supply chain optimization alternatives for Adal, Dean Foods, and Hochwald was carried out by determining the efficiency vector of a supply chain.
PL
Głównym celem tego artykułu jest zbadanie perspektyw i możliwości poprawy wydajności zarządzania łańcuchem dostaw mleka poprzez wdrożenie modelu integracji jakości łańcucha dostaw (SCQI). Badanie zostało przeprowadzone na danych zebranych od trzech firm mleczarskich: Agroindustrial Company Adal (Kazachstan), Dean Foods (USA) i Hochwald (Niemcy). Proponowane jest metodologiczne podejście do oceny długości wektora do pomiaru skuteczności wdrożenia modelu SCQI. Zaproponowano trzy alternatywne scenariusze wdrożenia SCQI. W przypadku Dean Foods sugerowane jest skupienie się na integracji z dostawcami. Z kolei Hochwald powinien poprawić efektywność łańcucha dostaw poprzez integrację wewnętrzną, podczas gdy Adal proponuje poprawę efektywności tworzenia wartości dla konsumentów. Ocena skuteczności sugerowanych alternatyw optymalizacji łańcucha dostaw dla Adal, Dean Foods i Hochwald została przeprowadzona poprzez określenie wektora wydajności łańcucha dostaw.
Rocznik
Strony
236--250
Opis fizyczny
Bibliogr. 34 poz., rys.
Twórcy
  • Narxoz University, Almaty, Republic of Kazakhstan
  • Al-Farabi Kazakh National University, Almaty, Republic of Kazakhstan
  • Kazakh Ablai Khan University of International Relations and World Languages, Almaty, Republic of Kazakhstan
Bibliografia
  • 1. Abeysekara, N., Wang, H., Kuruppuarachchi, D., (2019). Effect of supply-chain resilience on firm performance and competitive advantage. Business Process Management Journal, 25(7), 1673-1695.
  • 2. Accorsi, R., Ferrari, E., Gamberi, M., Manzini, R., Regattieri, A., (2016). A closed-loop traceability system to improve logistics decisions in food supply chains: A case study on dairy products, [in:] “Advances in Food Traceability Techniques and Technologies”. Woodhead Publishing, 337-351.
  • 3. Ali, I., Nagalingam, S., Gurd, B., (2018). A resilience model for cold chain logistics of perishable products. The International Journal of Logistics Management, 29(3), 922-941.
  • 4. Boichenko, K. S., Tepliuk, M. A., Rekova, N. Y., Stashkevych, I. I., Morkūnas, M., (2019). Management of Fluctuation of Financial and Economic Integrated Development of Innovative Enterprise, [in:] “Financial and credit activities: problems of theory and practice: Collection of scientific works”, Vol. 3(30). University of Bank affairs, Kharkiv, 62-69.
  • 5. Ding, H., Fu, Y., Zheng, L., Yan, Z., (2019). Determinants of the competitive advantage of dairy supply chains: Evidence from the Chinese dairy industry. International Journal of Production Economics, 209, 360-373.
  • 6. dos Santos, T. F., Leite, M. S. A., (2018). Performance measurement system based on supply chain operations reference model: Review and proposal, [in:] “Contemporary Issues and Research in Operations Management”. BoD-Books on Demand, 29-49.
  • 7. Drastich, A., (2017). Optimization of material flow by simulation methods. Acta Logistica, 4(4), 23-26.
  • 8. Huo, B., Ye, Y., Zhao, X., Zhu, K., (2019). Supply chain quality integration: A taxonomy perspective. International Journal of Production Economics, 207, 236-246.
  • 9. Jermsittiparsert, K., Sutduean, J., Sriyakul, T., Khumboon, R., (2019). The role of customer responsiveness in improving the external performance of an agile supply chain. Polish Journal of Management Studies, 19, 206-217.
  • 10. Jiang, G., Wang, Q., Wang, K., Zhang, Q., Zhou, J., (2020). A novel closed-loop supply chain network design considering enterprise profit and service level. Sustainability, 12(2), 544.
  • 11. Kaliyev, G. A., Sabirova, A. I., Akimbekova, G. U., Glushan, L. A., Zhildikbaeva, A. N., (2019). Organizational-economic directions of the effective use of supply chain strategy in rural territories of Kazakhstan. International Journal of Supply Chain Management, 8, 868-873.
  • 12. Karuppuswami, S., Matta, L. L., Alocilja, E. C., Chahal, P., (2018). A wireless RFID compatible sensor tag using gold nanoparticle markers for pathogen detection in the liquid food supply chain. IEEE Sensors Letters, 2(2), 1-4.
  • 13. Kirilova, E. G., Vaklieva-Bancheva, N. G., (2017). Environmentally friendly management of dairy supply chain for designing a green products' portfolio. Journal of Cleaner Production, 167, 493-504.
  • 14. Kovács Gy., Gubán M., (2017). Planning of Optimal Fuel Supply of International Transport Activity. Periodica Polytechnica-Transportation Engineering, 45(4), 186-195.
  • 15. Kull, T., Wiengarten, F., Power, D., Shah, P., (2019). Acting as expected: Global leadership preferences and the pursuit of an integrated supply chain. Journal of Supply Chain Management, 55(3), 24-44.
  • 16. Lestari, F., Kurniawan, R., Ismail, K., Hamid, A., (2020). Supply chain relationship in a downstream sector. Uncertain Supply Chain Management, 8(2), 423-438.
  • 17. Leukel, J., Sugumaran, V., (2018). How product representation influences the understanding of supply chain process models. Enterprise Information Systems, 12(10), 1285-1307.
  • 18. Liu, Q., Rezaei, A. R., Wong, K. Y., Azami, M. M., (2019). Integrated modeling and optimization of material flow and financial flow of supply chain network considering financial ratios. Numerical Algebra, Control & Optimization, 9(2), 113-132.
  • 19. Meimankulova, Zh., Umirzakov, S., (2018). Strategic management and development of dairy products on the basis of increasing domestic and innovation production. Journal of Applied Economic Sciences, 7(61), 1984-1991.
  • 20. Malkus, T., (2018). The influence of trust on reduction of cooperation risk in logistics. Acta Logistica, 5(3), 93-99.
  • 21. Oláh, J., Yusmar, A. H., Máté, D., Novotny, Á., Popp, J., Lakner, Z., Kovács, S., (2019). A trust approach to the financial performance of information and communications technology enterprises. Polish Journal of Management Studies, 20(1), 332-343.
  • 22. Pettit, T. J., Croxton, K. L., Fiksel, J., (2019). The evolution of resilience in supply chain management: a retrospective on ensuring supply chain resilience. Journal of Business Logistics, 40(1), 56-65.
  • 23. Rakic, B., Rakic, M., (2018). Collaborative partnership paradigm in the sustainability-oriented supply chain as the way to sustainability. Applied Ecology and Environmental Research, 16(3), 2639-2650.
  • 24. Reynoso, R. N., (2018). Food defense KPI in the business processes of the food supply chain. Contaduría y administración, 63(1), 1-23.
  • 25. Saengchai, S., (2019). Supply chain and firm performance: examining the moderating role of supply chain information strategy. Polish Journal of Management Studies, 20(2), 454-465.
  • 26. Sahebjamnia, N., Goodarzian, F., Hajiaghaei-Keshteli, M., (2020). Optimization of multi-period three-echelon citrus supply chain problem. Journal of Optimization in Industrial Engineering, 13(1), 39-53.
  • 27. Schniederjans, D. G., Curado, C., Khalajhedayati, M., (2020). Supply chain digitisation trends: An integration of knowledge management. International Journal of Production Economics, 220, 107439.
  • 28. Shaharudin, M. R., Tan, K. C., Kannan, V., Zailani, S., (2019). The mediating effects of product returns on the relationship between green capabilities and closed-loop supply chain adoption. Journal of Cleaner Production, 211, 233-246.
  • 29. Song, L., (2017). Risk assessment of dairy supply chain based on RFID. Value Engineering, 4, 24.
  • 30. Tundys, B., Fernando, Y., (2020). Sustainable supply chain management - Key Performance Indicators (KPI) as an element for measuring of processes. Transport Economics and Logistics, 83, 31-50.
  • 31. Wiengarten, F., Li, H., Singh, P. J., Fynes, B., (2019). Re-evaluating supply chain integration and firm performance: linking operations strategy to supply chain strategy. Supply Chain Management, 24(4), 540-559.
  • 32. Yu, Y., Zhang, M., Huo, B., (2019). The impact of supply chain quality integration on green supply chain management and environmental performance. Total Quality Management & Business Excellence, 30(9-10), 1110-1125.
  • 33. Zhang, M., Guo, H., Huo, B., Zhao, X., Huang, J., (2019a). Linking supply chain quality integration with mass customization and product modularity. International Journal of Production Economics, 207, 227-235.
  • 34. Zhang, S., Zhang, P., Zhang, M., (2019b). Fuzzy emergency model and robust emergency strategy of supply chain system under random supply disruptions. Complexity, 1, 3092514.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1ef7b525-d30a-471f-b156-e560c14ece13
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.