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Tytuł artykułu

Comparision of Logistics and Clothing Sectors for a Logistics Center Site Selection Using AHP

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Wybór usytuowania centrum logistycznego dla tureckiego przemysłu odzieżowego
Języki publikacji
EN
Abstrakty
PL
The textile and clothing sectors can be seen as a supply chain consisting of a number of discrete activities. The supply chain from sourcing raw materials to distribution and marketing must be well organized as an integrated production network.. Logistics is a very important strategy to gain competitive advantages like time, cost and customer satisfaction. In this study, the establishment of a clothing logistics center for the Turkish Clothing Industry in the Marmara Region of Turkey was evaluated by clothing and logistics sector experts. A numerical study with a questionnaire survey database aimed at the clothing industry of Turkey was conducted and the Analytic Hierarchy Process (AHP) was used to evaluate the questionaire results.
PL
Sektor tekstylno-odzieżowy może być postrzegany jako łańcuch dostaw, który składa się z kilku różnych procesów. Łańcuch dostaw jako zintegrowana sieć produkcyjna musi być bardzo dobrze zorganizowany od momentu pozyskiwania surowców do dystrybucji i marketingu. Logistyka jest bardzo ważną strategią mającą na celu uzyskanie przewagi konkurencyjnej, jak czas, koszty i zadowolenie klientów. W badaniu tym, oceniano z udziałem ekspertów sektorów odzieżowego i logistycznego utworzenie centrum logistycznego dla tureckiego przemysłu odzieżowego w regionie Marmara w Turcji. Przeprowadzono badanie numeryczne wraz z badaniami ankietowymi, dla oceny uzyskanych wyników zastosowano metodę hierarchicznej analizy AHP.
Rocznik
Strony
13--18
Opis fizyczny
Bibliogr. 29 poz., rys., tab.
Twórcy
  • Textile Engineering Department, Istanbul Technical University, Istanbul, Turkey
autor
  • Textile Engineering Department, Istanbul Technical University, Istanbul, Turkey
autor
  • Industrial Engineering Department, Istanbul Technical University, Istanbul, Turkey
Bibliografia
  • 1. http://www.wisegeek.com/what-is-logistics.htm (accessed 29 November 2009).
  • 2. Navaretti GB, Falzoni A, Turrini A. The decision to invest in a low-wage country: Evidence from Italian textiles and clothing multinationals. Journal of International Trade and Economic Development; 2001; 10: 45-70.
  • 3. Gereffi G. Global sourcing in the US apparel industry. Journal of Textile and Apparel. Technology and Management; 2001; 2: 1-5.
  • 4. Eryuruk SH, Kalaoglu F, Baskak M. Logistics as a Competitive Strategy: The Analysis of The Clothing Industry In Terms of Logistics. Fibres &Textiles in Eastern Europe 2011; 19, 1(84): 12-17.
  • 5. Eryuruk SH, Kalaoglu F, Baskak M. Logistics Centre Design for the Turkish Clothing Industry. Fibres & Textiles in Eastern Europe 2011; 19; 5 (88): 17-22.
  • 6. Tsamboulas DA, Kapros S. Freight village evaluation under uncertainty with public and private financing. Transport Policy 2003; 10: 141–156.
  • 7. Baohua W, Shiwei HE. Robust Optimization Model and Algorithm for Logistics Center Location and Allocation under Uncertain Environment. Journal of Transportation Systems Engineering and Information Technology 2009; 9; 2: 69-74.
  • 8. Huijun S, Ziyou G, Jianjun W. A bi-level programming model and solution algorithm for the location of logistics distribution centers. Applied Mathematical Modelling 2008; 32: 610–616.
  • 9. Zevgolis IE, Mavrikos AA, Kaliampakos DC. Construction, storage capacity and economics of an underground warehousing–logistics center in Athens Greece. Tunnelling and Underground Space Technology 2004; 19: 165–173.
  • 10. Yang L, Ji X, Gao Z, Li K. Logistics distribution centers location problem and algorithm under fuzzy environment. Journal of Computational and Applied Mathematics 2007; 208: 303 – 315.
  • 11. Oum TH, Park JH. Multinational firms location preference for regional distribution centers: focus on the Northeast Asian region. Transportation Research Part E 2004; 40: 101–121.
  • 12. Ho W, Emrouznejad A. Multi-criteria logistics distribution network design using SAS/OR. Expert Systems with Applications 2009; 36: 7288–7298.
  • 13. Altiparmak F, Gen M, Lin L, Karaoglan I. A steady-state genetic algorithm for multi-product supply chain network design. Computers & Industrial Engineering 56, 521–537, (2009; 56: 521–537.
  • 14. Reeves Jr. KA, Caliskan F, Ozcan O. Outsourcing distribution and logistics services within the automotive supplier industry. Transportation Research Part E: Logistics and Transportation Review 2010; 46, 3: 459-468.
  • 15. Lee DH, Dong M. A heuristic approach to logistics network design for endof-lease computer products recovery. Transportation Research Part E 2008; 44: 455–474.
  • 16. Sharma MJ, Moon I, Bae H. Analytic hierarchy process to assess and optimize distribution network. Applied Mathematics and Computation 2008; 202: 256– 265.
  • 17. Ozdemir D. Strategic choice for Istanbul: A domestic or international orientation for logistics?Cities 2010; 27; 3: 154-163
  • 18. Kayalı CA. Evaluation Financial Profitablity Efficiencies of Textile Companies In 2007 Tekstil ve Konfeksiyon 2009; 3-8.
  • 19. Eryuruk SH, Kalaoglu F, Baskak M, Rabenasolo B. Evaluation of Globalization Strategies: External Analysis of the Turkish Clothing Industry. Textile Research Journal 2010; 80, September; 14: 1379-1391.
  • 20. Eryuruk SH. In order to achieve effective logistics activities between textile and clothing sectors site selection and design of a logistics center. Ph.D. Thesis, Istanbul Technical University, Institute of Science and Technology, Textile Engineering Department, 2010.
  • 21. Saaty TL. The Analytic Hierarchy Process. McGraw-Hill International, New York, 1996.
  • 22. Saaty TL. Fundamentals of Decision Making with the Analytic Hierarchy Process. paperback, RWS Publications, 4922 Ellsworth Avenue, Pittsburgh, PA 15213-2807, original edition 1994, 2000.
  • 23. Saaty TL. Time dependent decisionmaking; dynamic priorities in the AHP/ ANP: Generalizing from points to functions and from real to complex variables. Mathematical and Computer Modelling 2007; 46: 860–891.
  • 24. Topcu Yİ. The Analytic Hierarchy Process. Lecture Notes, 2008.
  • 25. TÜİK (Turkish Statistical Institute), Genel Sanayi ve İşyerleri Sayımı 2002. Türkiye İstatistik Kurumu Matbaası, Ankara, ISBN: 975-19-3927-5, 2006.
  • 26. TÜİK(Turkish Statistical Institute), Yıllık Sanayi Ürün İstatistikleri 2005. Türkiye İstatistik Kurumu Matbaası, Ankara, 2008.
  • 27. IMPa, Araştırma Raporları. Istanbul Metropolitan Planlama Merkezi, 2005.
  • 28. IMPb, Sentez Raporları. Istanbul Metropolitan Planlama Merkezi, 2005.
  • 29. http://www.superdecisions.com/, 2010.
Typ dokumentu
Bibliografia
Identyfikator YADDA
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