Open Access
Issue
MATEC Web Conf.
Volume 70, 2016
2016 The 3rd International Conference on Manufacturing and Industrial Technologies
Article Number 06001
Number of page(s) 5
Section Supply Chain Management
DOI https://doi.org/10.1051/matecconf/20167006001
Published online 11 August 2016
  1. F.Vanek, Y.Sun, Transport versus perishability in life cycle energy consumption: a case study of the temperature-controlled food product supply chain, Transp. Res. Part D Transp. Environ., 13, 383–391 (2009) [CrossRef] [Google Scholar]
  2. T.Bosona, G.Gebresenbet, I.Nordmark, D.Ljungberg, Integrated logistics Network for the supply chain of locally produced food, part I: location and route optimization analyses, J. Serv. Sci. Manag, 4, 174–183 (2011) [Google Scholar]
  3. A.Rong, R.Akkerman, M.Grunow, An optimization approach for managing fresh food quality throughout the supply chain, Int. J. Prod. Econ., 131, 421–429 (2011) [CrossRef] [Google Scholar]
  4. V.Sahar, B.Arijit, P.J.Byrne, A case analysis of a sustainable food supply chain distribution system—A multi-objective approach, Int. J. of Pro. Eco., 152, 71–87 (2014) [CrossRef] [Google Scholar]
  5. C.S.Revelle, G.Laporte, The plant location problem: New models and research prospects, Ope. Res., 44, 864–874 (1996) [CrossRef] [Google Scholar]
  6. B.H.Sabri, A.Beamon, A multi-objective approach to simultaneous strategic and operational planning in supply chain design, Omega, 28, 581–598 (2011) [CrossRef] [Google Scholar]
  7. F.T.S.Chan, S.H.Chung, S.Wadhwa, A hybrid genetic algorithm for production and distribution, Omega, 33, 345–355 (2005) [CrossRef] [Google Scholar]
  8. C.L.Chen, W.C.Lee, Multi-objective optimization of multi-echelon supply chain networks, with uncertain product demands and prices, Com. & Chem. Eng., 28, 1131–1144 (2004) [CrossRef] [Google Scholar]
  9. F.Altiparmak, M.Gen, L.Lin, T.Paksoy, A genetic algorithm approach for multiobjective optimization of supply chain Networks, Com. & Ind. Eng., 51, 197–216 (2006) [CrossRef] [Google Scholar]
  10. P.Schütz, A.Tomasgard, S.Ahmed, Supply chain design under uncertainty using sample average approximation and dual decomposition, Eur. J. of Ope.Res., 199, 409–419 (2006) [CrossRef] [Google Scholar]
  11. B.L.Shankar, S.Basavarajappa, C.H.Jason, S.Chen, Location and allocation decisions for multi-echelon supply chain network – A multi-objective evolutionary approach, Exp. Sys. with App., 40, 551–562 (2013) [CrossRef] [Google Scholar]
  12. H. W.Stoll, Product Design Methods and Practices, (New York-Basel: Marcel dekker, Int, 1999) [Google Scholar]
  13. A.Mohammed, Q.Wang, Integrity of an RFID-enabled HMSC network, Proceedings of the 3rd ICDEIS, China, 79-86 (2015) [Google Scholar]
  14. A.Ahmadia, H.Moghimib, A.E.Nezhadc, G.Vassilios, M.Sharafd, Multi-objective economic emission dispatch considering combined heat and power by normal boundary intersection method, Ele. Pow. Sys. Res., 129, 32–43 (2015) [CrossRef] [Google Scholar]
  15. R.G.Pandu, Multi-Objective Optimization: Techniques And Applications, In Chem. Eng. (Adv. in Pro. Sys. Eng.), Singapore: WSP (Dec 2008) [Google Scholar]
  16. HMC, UK. Available: http://www.halalhmc.org/test-demo.htm, (accessed October 26, 2014) [Google Scholar]

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