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Home All issues Volume 10 (2019) Int. J. Simul. Multidisci. Des. Optim., 10 (2019) A12 References
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Issue
Int. J. Simul. Multidisci. Des. Optim.
Volume 10, 2019
Article Number A12
Number of page(s) 12
DOI https://doi.org/10.1051/smdo/2019012
Published online 30 July 2019
  1. R.O. Bahebshi, A.T. Almaktoom, Dynamical modeling of fresh vegetables while considering degradation effect on pricing, in 7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017 (2017), pp. 1817–1825 [Google Scholar]
  2. J.T. Mentzer, W. DeWitt, J.S. Keebler, S. Min, N.W. Nix, C.D. Smith, Z.G. Zacharia, Defining supply chain management, J. Bus. Logist. 22 , 1 (2001) [CrossRef] [Google Scholar]
  3. T. Davis, Effective supply chain management, Sloan Manag. Rev. 34 , 35 (1993) [Google Scholar]
  4. K. Mehdi, M. Salahi, A. Jamalian, The capacitated plant location problem with customer and supplier matching and interval demands uncertainty, Int. J. Simulat. Multidiscipl. Des. Optim. 5 , A03 (2014) [CrossRef] [Google Scholar]
  5. A.K. Alsaadi, A.T. Almaktoom, K.K. Krishnan, Reliability evaluation and design optimization of inventory management system, in Proceedings of the International Conference on Industrial Engineering and Operations Management (2016), pp. 922–927 [Google Scholar]
  6. P. Wang, Z. Wang, A.T. Almaktoom, Dynamic reliability-based robust design optimization with time-variant probabilistic constraints, Eng. Optim. 46 , 784 (2014) [CrossRef] [Google Scholar]
  7. A.T. Almaktoom, K.K. Krishnan, P. Wang, S. Alsobhi, Assurance of system service level robustness in complex supply chain networks, Int. J. Adv. Manuf. Technol. 74 , 445 (2014) [CrossRef] [Google Scholar]
  8. S. Raczynski, A market model: uncertainty and reachable sets, Int. J. Simul. Multidiscipl. Des. Optim. 6 , A2 (2015) [CrossRef] [Google Scholar]
  9. K.K. Krishnan, A.T. Almaktoom, P. Udayakumar, Optimisation of stochastic assembly line for balancing under high variability, Int. J. Ind. Syst. Eng. 22 , 440 (2016) [Google Scholar]
  10. X. Cai, J. Chen, Y. Xiao, X. Xu, Optimization and coordination of fresh product supply chains with freshness-keeping effort, Prod. Oper. Manag. 19 , 261 (2010) [Google Scholar]
  11. A.T. Almaktoom, K.K. Krishnan, P. Wang, S. Alsobhi, Cost efficient robust global supply chain system design under uncertainty, Int. J. Adv. Manuf. Technol. 85 , 853 (2016) [CrossRef] [Google Scholar]
  12. A.T. Almaktoom, Stochastic reliability measurement and design optimization of an inventory management system, Complexity (2017) [Google Scholar]
  13. B. Deniz, Essays on perishable inventory management. Doctoral dissertation, Tepper School of Business, Carnegie Mellon University, Pittsburgh, 2007 [Google Scholar]
  14. K.H. Widodo, H. Nagasawa, K. Morizawa, M. Ota, A periodical flowering-harvesting model for delivering agricultural fresh products, Eur. J. Oper. Res. 170 , 24 (2006) [CrossRef] [Google Scholar]
  15. X. Wang, Z. Fan, Y. Wang, M. Li, A laboratory exploration for multi-period perishable food pricing, Br. Food J. 117 , 2214 (2015) [CrossRef] [Google Scholar]
  16. A. Osvald, L.Z. Stirn, A vehicle routing algorithm for the distribution of fresh vegetables and similar perishable food, J. Food Eng. 85 , 285 (2008) [CrossRef] [Google Scholar]
  17. H.K. Chen, C.F. Hsueh, M.S. Chang, Production scheduling and vehicle routing with time windows for perishable food products, Comput. Oper. Res. 36 , 2311 (2009) [CrossRef] [Google Scholar]
  18. J. Blackburn, G. Scudder, Supply chain strategies for perishable products: the case of fresh produce, Prod. Oper. Manag. 18 , 129 (2009) [CrossRef] [Google Scholar]
  19. M. Shukla, S. Jharkharia, Agri-fresh produce supply chain management: a state-of-the-art literature review, Int. J. Oper. Prod. Manag. 33 , 114 (2013) [CrossRef] [Google Scholar]
  20. A. Rong, R. Akkerman, M. Grunow, An optimization approach for managing fresh food quality throughout the supply chain, Int. J. Prod. Econ. 131 , 421 (2011) [CrossRef] [Google Scholar]
  21. X. Cai, J. Chen, Y. Xiao, X. Xu, G. Yu, Optimal decisions of the manufacturer and distributor in a fresh product supply chain involving long-distance transportation, in Handbook of Newsvendor Problems (Springer, New York, 2012), p. 315 [Google Scholar]
  22. R. Li, H. Lan, J.R. Mawhinney, A review on deteriorating inventory study, J. Serv. Sci. Manag. 3 , 117 (2010) [Google Scholar]
  23. F. Raafat, Survey of literature on continuously deteriorating inventory models, J. Oper. Res. Soc. 42 , 27 (1991) [CrossRef] [Google Scholar]
  24. A. Federgruen, G. Prastacos, P.H. Zipkin, An allocation and distribution model for perishable products, Oper. Res. 34 , 75 (1986) [CrossRef] [Google Scholar]
  25. C.D. Tarantilis, C.T. Kiranoudis, Distribution of fresh meat, J. Food Eng. 51 , 85 (2002) [CrossRef] [Google Scholar]
  26. C.I. Hsu, S.F. Hung, H.C. Li, Vehicle routing problem with time windows for perishable food delivery, J. Food Eng. 80 , 465 (2007) [CrossRef] [Google Scholar]
  27. S. Zanoni, L. Zavanella, Single-vendor single-buyer with integrated transport-inventory system: models and heuristics in the case of perishable goods, Comput. Ind. Eng. 52 , 107 (2007) [CrossRef] [Google Scholar]
  28. X. Xunyu, M. Tomohiro, Perishable goods delivery and scheduling with time window by genetic algorithm, in 2010 IEEE International Conference on Automation and Logistics (2010), p. 587 [CrossRef] [Google Scholar]
  29. K. Govindan, A. Jafarian, R. Khodaverdi, K. Devika, Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food, Int. J. Prod. Econ. 152 , 9 (2014) [CrossRef] [Google Scholar]

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