Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Introduction/background: The article presents a literature analysis related to the concept of distribution network configuration. The main determinants of network configuration and their impact on key solutions used in networks are also indicated. As a key solution related to the correct management of demand, including forecasting, the author considered centralisation in networks. The article also presents the results of research carried out on 5 distribution networks, in which the correlations between the elements of their configuration and the results of forecasts made using the tool previously created by the author are examined. Aim of the paper: The purpose of the article is to present the concept of distribution network configuration in the conditions of centralised demand forecasts, with the central unit at the level of logistics operator. In addition, the article will consider the hypothesis regarding whether the configuration of the distribution network affects the accuracy of forecasts. Materials and methods: The purpose of the article and verification of the hypothesis was carried out with the help of literature studies, results of the conducted case study, and on the basis of the results of forecasts obtained using the prognostic tool created by the author in the R environment. Results and conclusions: The article demonstrates the basic ability of a logistics operator, working in MDP in the distribution network, to make forecasts and analyse the distribution network. In addition to that, the article presents results indicating that a properly selected configuration of the distribution network has a positive effect on the accuracy of forecasts contained in it.
Rocznik
Tom
Strony
29--40
Opis fizyczny
Bibliogr. 34 poz.
Twórcy
autor
- Silesian University of Technology, Faculty of Organization and Management, Poland
Bibliografia
- 1. Anokhin, S., Wincent, J., Parida, V., Chistyakova, N. and Oghazi P. (2019). Industrial clusters. Flagship enterprises and regional innovation, vol. 31, p. 105.
- 2. Bakhtiyari, S.V. (2015). Customer relationship management at big bazaar. Asia Pacific Journal of Marketing & Management Review, vol. 4, pp. 15-16.
- 3. Barczak, B., and Walas-Trębacz, J. (2011). Uwarunkowania tworzenia relacji partnerskich w ramach sieci dostaw. International Journal of Management and Economics, vol. 32, p. 39.
- 4. Bendkowski, J., Kramarz, M., Kramarz, W. (2010). Metody i techniki ilościowe w logistyce stosowanej. Wybrane zagadnienia. Gliwice: Silesian University of Technology Publishing House.
- 5. Brzóska, J. (2007). Modele strategiczne przedsiębiorstw energetycznych. Gliwice: Silesian University of Technology Publishing House.
- 6. Chandra, C., and Grabis, J. (2007). Supply Chain Configuration: Concepts, Solutions, and Applications. New York: Springer-Verlag.
- 7. Ciesielski, M. (2009). Instrumenty zarządzania łańcuchami dostaw. Warsaw: PWN.
- 8. Czakon, W. (2010) Model operatora a orkiestracja sieci. In: J. Pyka (ed.), Modele, metody i narzędzia zarządzania organizacjami. Katowice: Towarzystwo Naukowe Organizacji i Kierownictwa.
- 9. Czakon, W. (2015). “Droga po strukturze” – od strategii współdziałania do strategii sieci. Prace Naukowe WWSZiP No. 32, p. 71.
- 10. Droge, C., Germain, R., and Daugherty, P. (1989). Servicing the exchange relationship: organisational configuration and its effects on intra-firm and buyer-seller communications. Annual Conference of Council of Logistics Management, St. Louis, p. 4.
- 11. Ekinci, E., and Baykasoglu, Z. Modeling complexity in retail supply chains. Kybernetes vol. 45, p. 308.
- 12. Faur, M., and Bungau, C. (2019). Outsourcing towards greater agility through investigating decoupling points in leagile supply chains. MATEC Web of Conferences, vol. 290.
- 13. Freferick, S., Lim, W.T., and Srai, J.S. (2016). Examining the anatomy of last-mile distribution in e-commerce omnichannel retailing – a supply network configuration approach. International Journal of Operations & Production Management, p. 1738.
- 14. Jonsson, P., and Mattsson, S.A. (2009). Manufacturing, planning and control. London: McGraw-Hill, p. 79.
- 15. Kawa, A. (2011). Konfigurowanie łańcucha dostaw. Teoria, instrumenty i technologie. Poznań: Poznań University of Economics Publishing House.
- 16. Kot, S., Starostka-Patyk, M., and Krzywda, D. (2009). Zarządzanie łańcuchami dostaw. Częstochowa: WWZPCz.
- 17. Kramarz, M. (2014). Elementy logistyczne obsługi klienta w sieciach dystrybucji. Pomiar, ocena, strategie. Warsaw: Difin.
- 18. Kramarz, M. (2016). Doskonalenie logistycznej obsługi klienta z perspektywy przedsiębiorstwa flagowego sieci dystrybucji wyrobów hutniczych. Zeszyty Naukowe Politechniki Częstochowskiej, No. 24, p. 225.
- 19. Kramarz, M. (2016). Problem odporności w koordynacji sieci dystrybucji. Studia Ekonomiczne, Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach, No. 351, p. 36.
- 20. Kramarz, M., and Kramarz, W. (2015). Strategie logistycznej obsługi klienta z perspektywy przedsiębiorstw flagowych. Zeszyty Naukowe Politechniki Śląskiej, No. 83, p. 324.
- 21. Kramarz, M. and Kramarz, W. (2019). Managing the flow components in supply chains. Metabk, vol. 58, pp.158-160.
- 22. Melacini, M., and Tappia, E. (2018). A critical comparison of alternative distribution configurations in omnichannel retailing in terms of cost and greenhouse gas emissions. Sustainability, vol. 10, p. 3.
- 23. Miller, D., and Mintzberg, H. (1984). The case for configuration. In: D. Miller, P.H. Friesen (eds.), Organisations: a quantum view. Englewood Cliffs: Prentice-Hall.
- 24. Porter, M.E. (2001). Porter o konkurencji. Warsaw: PWE.
- 25. Schmitt, A.J., Sun, S.A., Snyder, L.V., and Shen, Z. (2015). Centralisation versus decentralisation: risk pooling, risk diversification and supply chain disruptions. Omega, vol. 52, pp. 201-212.
- 26. Schweizer, L. (2005). Concept and evolution of the business models. Journal of General Management, vol. 31.
- 27. Shishebori, D., and Babadi, A.Y. (2018). Designing a capacitated multi-configuration logistics network under disturbances and parameter uncertainty: a real-world case of a drug supply chain. Journal of Industrial Engineering International, vol. 14, pp. 66-67.
- 28. Stevic, Z., Mulalic, E., Bozickovic, Z., Veskovic, S., and Dalic, I. (2018). Economic analysis of the project of warehouse centralisation in the paper production company. Serbian Journal of Management, vol. 13, pp. 47-62.
- 29. Szozda, N., and Świerczek, A. Zarządzanie popytem na produkty w łańcuchu dostaw. Warsaw: PWE.
- 30. Truong, T.H., and Azadivar, F. (2003). Simulation based optimisation for supply chain configuration design. Proceedings of the 2003 Winter Simulation Conference.
- 31. Tsiakis, P., and Papageorgiou, L.G. (2008). Optimal production allocation and distribution supply chain networks. International Journal of Production Economics, vol. 111, p. 469.
- 32. Wasiak, M., Jacyna-Gołda, I., Markowska, K., Jachimowski, R., Kłodawski, M., and Izdebski, M. (2019). The use of a supply chain configuration model to assess the reliability of logistics processes. Maintenance and Reliability, vol. 21, p. 368.
- 33. Xiaotong, B., Ke, B., and Xinyu, W. (2018). Theoretical and empirical research on cultivating the core competencies of the enterprise. Advances in Social Science, Education and Humanities Research, vol. 176, p. 1258.
- 34. Yang, Ch., Zhenyu H., and Zhou, S.X. (2020). Multilocation newsvendor problem: centralization and inventory pooling. Management science, pp.1-16.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-59c10ae8-a213-4ec4-bbb9-a6fc720e1d9b