Zastosowanie rozmytej metody TOPSIS w zarządzaniu łańcuchem dostaw żywności

Main Article Content

Agnieszka Tłuczak


Słowa kluczowe : łańcuch dostaw żywności, rozmyta metoda TOPSIS, zarządzanie
Abstrakt
W pracy przedstawiono wielokryterialną metodę podejmowania decyzji: rozmytą metodę TOPSIS. Jest to alternatywa dla metod AHP, TOPSIS, ELECTRE lub PROMETHEE. W pracy przedstawiono możliwość zastosowania rozmytej metody TOPSIS w zarządzaniu łańcuchem dostaw żywności (FSCM). W tym celu przedstawiono krótki przegląd literatury. Następnie przedstawiono rozmytą metodę TOPSIS, na końcu artykułu pokazano możliwość zastosowania metody do rozwiązania problemu.

Article Details

Jak cytować
Tłuczak, A. (2020). Zastosowanie rozmytej metody TOPSIS w zarządzaniu łańcuchem dostaw żywności. Ekonomika I Organizacja Logistyki, 4(4), 75–83. https://doi.org/10.22630/EIOL.2019.4.4.34
Bibliografia

Ahumada O., Villalobos J.R., 2009: Application of planning models in the agri-food supply chain: A review, European Journal Operational Research 196, 1–20. (Crossref)

Apaiah R.K., Hendrix E.M.T., 2005: Design of a supply chain network for pea-based novel protein foods, Journal of Food Engineering 70, 3, 383–391. (Crossref)

Bojkovic N., Anic I., Pejcic-Tarle S., 2010: One solution for cross-country transport-sustainability evaluation using a modified ELECTRE method, Ecological Economics 69, 5, 1176–1186. (Crossref)

Boran F.E., Genc S., Kurt M., Akay D., 2008: A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method, Expert Systems with Applications: An International Journal Archive 36, 8, 11363–11368. (Crossref)

Bukeviciute L., Dierx A., Ilzkovitz F., 2009: The functioning of the food supply chain and its effect on food prices in the European Union, Occasional Papers 47, European Commission, Directorate-General for Economic and Financial Affairs, [electronic source] https://ec.europa.eu/economy_finance/publications/pages/publication15234_en.pdf [access: 12.12.2019].

Chamodrakas I., Alexopoulou N., Martakos D., 2009: Customer evaluation for order acceptance using a novel class of fuzzy methods based on TOPSIS, Expert Systems with Applications 36, 4, 7409–7415. (Crossref)

Chan F.T., Kumar N., 2007: Global supplier development considering risk factors using fuzzy extended AHP-based approach, Omega 35, 4, 417–431. (Crossref)

Chu T.-C., 2002: Facility location selection using fuzzy topsis under group decisions. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 10, 6, 687–701. (Crossref)

Ertgrul I., Karakasoglu N., 2008: Comparision of fuzzy AHP and fuzzy TOPSIS methods for facility location selection, The International Journal of Advanced Manufacturing Technology 39, 783–795. (Crossref)

Farahani R.Z., Asgari N., 2007: Combination of MCDM and covering techniques in a hierarchical model for facility location: A case study, European Journal of Operational Research 176, 3, 1839–1858. (Crossref)

Furnell C.H., 2001: Partnerships Victoria Guidance Material. Risk Identification and Risk Allocation in Project Finance Transactions, the Department of Treasury and Finance of Australia, [electronic source] https://www.mfcr.cz/assets/en/media/PPP-Australia-Partnerships-Victoria-Risk-Allocation-and-Contractual-Issues.pdf [access: 12.12.2019].

Gupta S., Gupta A., 2012: Fuzzy multi criteria decision making approach for vendor evaluation in a supply chain, Interscience Management Review (IMR) 2, 3, 10–16.

Hobbs J.E.; Young L.M., 2000: Closer vertical co-ordination in agri-food supply chains: A conceptual framework and some preliminary evidence, Supply Chain Management 5, 131–142. (Crossref)

Kabir G., Hasin M.A., 2013: Comparative analysis of TOPSIS and fuzzy TOPSIS for the evaluation of travel website service quality, International Journal for Quality 6, 3, 169–185.

Kannan G., Khodaverdi R., Jafarian A., 2013: A fuzzy multi criteria approach for measuring sustainability performance of a supplier based on triple bottom line approach, Journal of Cleaner Production 47, 345–354. (Crossref)

Kauf S., Tłuczak A., 2018: Allocation of logistic risk-investment in public-private-partnership – use of fuzzy TOPSIS method, MATEC Web of Conferences 184, 04025, Annual Session of Scientific Papers IMT ORADEA. DOI: 10.1051/matecconf/201818404025 (Crossref)

Kukułka A., Wirkus M., 2017: Metody wielokryterialne wspomagania decyzji oraz ich zastosowanie w opracowaniu metody oceny niepotokowych procesów produkcyjnych [Multicriteria decision support methods and their application in developing a method for assessing non-flow production processes], [in:] R. Knosala (ed.) Innowacje w zarządzaniu i inżynierii produkcji, t. 1, Oficyna Wydawnicza Polskiego Towarzystwa Zarządzania Produkcją, Opole.

Łuczak A., Wysocki F., 2013: Porządkowanie liniowe obiektów z wykorzystaniem rozmytych metod AHP i TOPSIS [Linear ordering of objects using fuzzy AHP and TOPSIS methods], Przegląd Statystyczny 58, 1–2, 3–23.

Martín J.M., Fajardo W., Blanco A., Requena I., 2003: Constructing linguistic versions for the multicriteria decision support systems preference ranking organization method for enrichment evaluation I and II, International Journal of Intelligent Systems 18, 711–731. (Crossref)

Onut S., Kara S.S., Isik E., 2009: Long term supplier selection using a combined fuzzy MCDM approach: A case study for a telecommunication company, Expert Systems with Applications 36, 2, 3887–3895. (Crossref)

Poh K.L., Ang B.W., 1999: Transportation fuels and policy for Singapore: an AHP planning approach, Computers & Industrial Engineering 37, 3, 507–525. (Crossref)

Roszkowska E., 2009: Application TOPSIS methods for ordering offers in buyer-seller transaction, OPTIMUM, Studia Ekonomiczne 3, 117–133.

Rudnik K., Kacprzak D., 2017: Fuzzy TOPSIS method with ordered fuzzy numbers for flow control in a manufacturing system, Applied Soft Computing 52, 1020–1041. (Crossref)

Salin V., 1998: Information technology in agri-food supply chains, The International Food and Agribusiness Management Review 1, 3, 329–334. (Crossref)

Sałabun W., 2015, Zastosowanie metody COMET w zarządzaniu łańcuchem dostaw i logistyce, Logistyka 3, 4284–4290 [CD].

Sun C.C., 2010: A performance evaluation model by integrating fuzzy AHP and fuzzy TOPSIS methods, Expert Systems with Applications 37, 12, 7745–7754. (Crossref)

Tabari M., Kaboli A., Aryanezhad M.B., Shahanaghi K., Siadat A., 2008: A new method for location selection: A hybrid analysis, Applied Mathematics and Computation 206, 2, 598–606. (Crossref)

Tansel Y.Ýç., 2012: Development of a credit limit allocation model for banks using an integrated Fuzzy TOPSIS and linear programming, Expert Systems with Applications: An International Journal 39, 5, 5309–5316. (Crossref)

Taylor D.H., Fearne A., 2006: Towards a framework for improvement in the management of demand in agri-food supply chains, Supply Chain Management 11, 379–384. (Crossref)

Tereszkiewicz, K., Kusz, D., Molenda, P. 2017: Ocena warunków przewozu i dobrostanu tuczników w transporcie lokalnym. Roczniki Naukowe Ekonomii Rolnictwa i Rozwoju Obszarów Wiejskich, 104(4), 139-150. https://doi.org/10.22630/RNR.2017.104.4.39 (Crossref)

Tuzkaya G., Onut S., Tuzkaya U.R., Gulsun B., 2008: An analytic network process approach for locating undesirable facilities: An example from Istanbul, Turkey, Journal of Environmental Management 88, 4, 970–983. (Crossref)

Van der Vorst J.G., Da Silva C., Trienekens J.H., 2007: Agro-Industrial Supply Chain Management: Concepts and Applications, FAO, Rome.

Van der Vorst J.G., 2000: Effective Food Supply Chains; Generating, Modelling and Evaluating Supply Chain Scenarios, Wageningen Publisher, Wageningen.

Wang J.-W., Cheng C.-H., Huang K.-C., 2009: Fuzzy hierarchical TOPSIS for supplier selection, Journal Applied Soft Computing 9, 1, 377–386. (Crossref)

Wey W.M., Wu K.Y., 2007: Using ANP priorities with goal programming in resource allocation in transportation, Mathematical and Computer Modelling 46, 7–8, 985–1000. (Crossref)

Żak J., 2005: Wielokryterialne wspomaganie decyzji w transporcie drogowym [Multi-criteria decision support in road transport], Wydawnictwo Politechniki Poznańskiej, Poznań.

Żak J., Sawicki P., 2000: The Multiobjective Ranking of the Warehouses in the Physical Distribution System, [in:]. CD-Proceedings of the 4th International Workshop on Transportation Planning and Implementation Methodologies for Developing Countries: Transportation Infrastructure, Bombay.

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