Tworzenie koalicji między operatorami 4PL
DOI:
https://doi.org/10.18778/0208-6018.338.12Słowa kluczowe:
operator 4PL, teoria gier koalicyjnych, wartość Shapleya, innowacje, łańcuch dostawAbstrakt
Operator logistyczny 4PL (Fourth Party Logistics Provider) oferuje nowe i innowacyjne rozwiązania, mające na celu obniżenie kosztów, udostępnienie usług i usprawnienia w zarządzaniu złożonymi łańcuchami dostaw. Celem artykułu jest przedstawienie najlepszych warunków do współpracy między wyspecjalizowanymi podmiotami zajmującymi się zarządzaniem łańcuchem dostaw – operatorami 4PL. Rozważania dotyczące czynników wpływających na tworzenie koalicji przez operatorów 4PL, a także konkluzje z zakresu trwałości współpracy stały się podstawą do zaprojektowania dwustopniowej procedury, zbudowanej w oparciu o pojęcia z teorii gier. Celem przedstawionej procedury jest wybór metody alokacji kosztów/zysków przez koalicjantów. Analizy przeprowadzono na podstawie danych pochodzących z literatury.
Pobrania
Bibliografia
Audy J.F., D’Amours S. (2008), Impact of benefit sharing among companies in the implantation of a collaborative transportation system – an application in the furniture industry, “Pervasive Collaborative Networks”, pp. 519–532.
Google Scholar
Bauknight D.N., Miller J.R. (1999), Fourth party logistics: The evolution of supply chain outsourcing, “CALM Supply Chain & Logistics Journal”.
Google Scholar
Bhatnagar R., Viswanathan S. (2000), Re‑engineering global supply chains: alliances between manufacturing firms and global logistics services providers, “International Journal of Physical Distribution & Logistics Management”, vol. 30(1), pp. 13–34.
Google Scholar
Büyüközkan G., Feyzioğlu O., Ersoy M.Ş. (2009), Evaluation of 4PL operating models: A decision making approach based on 2‑additive Choquet integral, “International Journal of Production Economics”, vol. 121(1), pp. 112–120.
Google Scholar
Chen K.H., Su C.T. (2010), Activity assigning of fourth party logistics by particle swarm optimization‑based preemptive fuzzy integer goal programming, “Expert Systems with Applications”, vol. 37(5), pp. 3630–3637.
Google Scholar
Dai B., Chen H. (2012), Profit allocation mechanisms for carrier collaboration in pickup and delivery service, “Computers & Industrial Engineering”, vol. 62(2), pp. 633–643.
Google Scholar
Defryn C., Vanovermeire C., Sörensen K. (2016), Gain sharing in horizontal logistic co‑operation: a case study in the fresh fruit and vegetables sector, [in:] Sustainable logistics and supply chains, Springer International Publishing, Cham, pp. 75–89.
Google Scholar
Drechsel J., Kimms A. (2011), Cooperative lot sizing with transshipments and scarce capacities: solutions and fair cost allocations, “International Journal of Production Research”, vol. 49(9), pp. 2643–2668.
Google Scholar
Frisk M., Göthe‑Lundgren M., Jörnsten K., Rönnqvist M. (2010), Cost allocation in collaborative forest transportation, “European Journal of Operational Research”, vol. 205(2), pp. 448–458.
Google Scholar
Huang M., Tong W., Wang Q., Xu X., Wang X. (2006), Immune algorithm based routing optimization in fourth‑party logistics, [in:] Evolutionary Computation, 2006. CEC 2006. IEEE Congress on, IEEE, pp. 3029–3034.
Google Scholar
Krajewska M.A., Kopfer H., Laporte G., Ropke S., Zaccour G. (2008), Horizontal cooperation among freight carriers: request allocation and profit sharing, “Journal of the Operational Research Society”, vol. 59(11), pp. 1483–1491.
Google Scholar
Li J., Rong G., Feng Y. (2015), Request selection and exchange approach for carrier collaboration based on auction of a single request, “Transportation Research Part E: Logistics and Transportation Review”, vol. 84, pp. 23–39.
Google Scholar
Li X., Ying W., Liu W., Chen J., Huang B. (2003), The decision optimization model of 4PL, [in:] Systems, Man and Cybernetics, 2003. IEEE International Conference on, vol. 2, IEEE, pp. 1241–1245.
Google Scholar
Liu P., Wu Y., Xu N. (2010), Allocating collaborative profit in less‑than‑truckload carrier alliance, “Journal of Service Science and Management”, vol. 3(01), p. 143.
Google Scholar
Lozano S., Moreno P., Adenso‑Díaz B., Algaba E. (2013), Cooperative game theory approach to allocating benefits of horizontal cooperation, “European Journal of Operational Research”, vol. 229(2), pp. 444–452.
Google Scholar
Nissen V., Bothe M. (2002), Fourth party logistics – ein Überblick, “Logistik Management”, vol. 4(1), pp. 16–26.
Google Scholar
Özener O.Ö., Ergun Ö. (2008), Allocating costs in a collaborative transportation procurement network, “Transportation Science”, vol. 42(2), pp. 146–165.
Google Scholar
Saglietto L., Cezanne C. (2015), A bibliometric analysis of research on 4PL, “International Journal of Transport Economics”, vol. 42(3), pp. 461–486.
Google Scholar
Schmeidler D. (1969), The nucleolus of a characteristic function game, “SIAM Journal on Applied Mathematics”, vol. 17(6), pp. 1163–1170.
Google Scholar
Shapley L.S. (1953), A value for n‑person games, “Contributions to the Theory of Games”, vol. 2(28), pp. 307–317.
Google Scholar
Simatupang T. M., Sridharan R. (2002), The collaborative supply chain, “The International Journal of Logistics Management”, vol. 13(1), pp. 15–30.
Google Scholar
Tijs S.H., Driessen T.S. (1986), Game theory and cost allocation problems, “Management Science”, vol. 32(8), pp. 1015–1028.
Google Scholar
Vanovermeire C., Sörensen K., Van Breedam A., Vannieuwenhuyse B., Verstrepen S. (2014), Horizontal logistics collaboration: decreasing costs through flexibility and an adequate cost allocation strategy, “International Journal of Logistics Research and Applications”, vol. 17(4), pp. 339–355.
Google Scholar
Wang X., Kopfer H. (2014), Collaborative transportation planning of less‑than‑truckload freight, “OR Spectrum”, vol. 36(2), pp. 357–380.
Google Scholar
Xu N. (2013), Improved weighted Shapley value model for the fourth party logistics supply chain coalition, “Journal of Control Science and Engineering”, vol. 2013, p. 1.
Google Scholar