Table of Contents Author Guidelines Submit a Manuscript
Discrete Dynamics in Nature and Society
Volume 2016, Article ID 6467812, 12 pages
http://dx.doi.org/10.1155/2016/6467812
Research Article

Solving a Closed-Loop Location-Inventory-Routing Problem with Mixed Quality Defects Returns in E-Commerce by Hybrid Ant Colony Optimization Algorithm

1School of Information Management, Central China Normal University, Wuhan 430079, China
2School of Economic Management, Hunan Institute of Technology, Hengyang 421001, China

Received 27 November 2015; Revised 9 March 2016; Accepted 19 May 2016

Academic Editor: Yourim Yoon

Copyright © 2016 Shuai Deng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. “Ecommerce sales worldwide reach $1.471 trillion in 2014,” http://www.emarketer.com/Article/Worldwide-Ecommerce-Sales-Increase-Nearly-20-2014/1011039.
  2. J. Mostard and R. Teunter, “The newsboy problem with resalable returns: a single period model and case study,” European Journal of Operational Research, vol. 169, no. 1, pp. 81–96, 2006. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  3. F. Zeng, Y. Chi, and J. Zheng, “The newsvendor problem with different delivery time, resalable returns, and an additional order,” Mathematical Problems in Engineering, vol. 2015, Article ID 505268, 10 pages, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  4. R. H. Ballou, Business Logistics Management, Prentice Hall, New York, NY, USA, 1992.
  5. J. Perl and S. Sirisoponsilp, “Distribution networks: facility location, transportation and inventory,” International Journal of Physical Distribution & Materials Management, vol. 18, no. 6, pp. 18–26, 1988. View at Publisher · View at Google Scholar
  6. R. H. Ballou and J. M. Masters, “Commercial software for locating warehoused and other facilities,” Journal of Business Logistics, vol. 14, no. 2, pp. 70–107, 1993. View at Google Scholar
  7. S. J. Erlebacher and R. D. Meller, “The interaction of location and inventory in designing distribution systems,” IIE Transactions, vol. 32, no. 2, pp. 155–166, 2000. View at Google Scholar · View at Scopus
  8. M. S. Daskin, C. R. Coullard, and Z. J. Shen, “An inventory-location model: formulation, solution algorithm and computational results,” Annals of Operations Research, vol. 110, no. 1–4, pp. 83–106, 2002. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. Z.-J. M. Shen, C. Coullard, and M. S. Daskin, “A joint location-inventory model,” Transportation Science, vol. 37, no. 1, pp. 40–55, 2003. View at Publisher · View at Google Scholar · View at Scopus
  10. S.-H. Liao, C.-L. Hsieh, and P.-J. Lai, “An evolutionary approach for multi-objective optimization of the integrated location-inventory distribution network problem in vendor-managed inventory,” Expert Systems with Applications, vol. 38, no. 6, pp. 6768–6776, 2011. View at Publisher · View at Google Scholar · View at Scopus
  11. A. Balakrishnan, J. E. Ward, and R. T. Wong, “Integrated facility location and vehicle routing models: recent work and future prospects,” American Journal of Mathematical and Management Sciences, vol. 7, no. 1-2, pp. 35–61, 1987. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  12. H. Min, V. Jayaraman, and R. Srivastava, “Combined location-routing problems: a synthesis and future research directions,” European Journal of Operational Research, vol. 108, no. 1, pp. 1–15, 1998. View at Publisher · View at Google Scholar · View at Scopus
  13. G. Nagy and S. Salhi, “Location-routing: issues, models and methods,” European Journal of Operational Research, vol. 177, no. 2, pp. 649–672, 2007. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  14. L. M. A. Chan, A. Federgruen, and D. Simchi-Levi, “Probabilistic analyses and practical algorithms for inventory-routing models,” Operations Research, vol. 46, no. 1, pp. 96–106, 1998. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  15. A. J. Kleywegt, V. S. Nori, and M. W. P. Savelsbergh, “The stochastic inventory routing problem with direct deliveries,” Transportation Science, vol. 36, no. 1, pp. 94–118, 2002. View at Publisher · View at Google Scholar · View at Scopus
  16. D. Adelman, “A price-directed approach to stochastic inventory/routing,” Operations Research, vol. 52, no. 4, pp. 499–514, 2004. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet · View at Scopus
  17. N. H. Moin and S. Salhi, “Inventory routing problems: a logistical overview,” Journal of the Operational Research Society, vol. 58, no. 9, pp. 1185–1194, 2007. View at Publisher · View at Google Scholar · View at Scopus
  18. S. C. Liu and S. B. Lee, “A two-phase heuristic method for the multi-depot location routing problem taking inventory control decisions into consideration,” International Journal of Advanced Manufacturing Technology, vol. 22, no. 11, pp. 941–950, 2003. View at Publisher · View at Google Scholar · View at Scopus
  19. S. C. Liu and C. C. Lin, “A heuristic method for the combined location routing and inventory problem,” International Journal of Advanced Manufacturing Technology, vol. 26, no. 4, pp. 372–381, 2005. View at Publisher · View at Google Scholar · View at Scopus
  20. Z.-J. M. Shen and L. Qi, “Incorporating inventory and routing costs in strategic location models,” European Journal of Operational Research, vol. 179, no. 2, pp. 372–389, 2007. View at Publisher · View at Google Scholar · View at Scopus
  21. A. A. Javid and N. Azad, “Incorporating location, routing and inventory decisions in supply chain network design,” Transportation Research Part E: Logistics and Transportation Review, vol. 46, no. 5, pp. 582–597, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. A. Ahmadi-Javid and A. H. Seddighi, “A location-routing-inventory model for designing multisource distribution networks,” Engineering Optimization, vol. 44, no. 6, pp. 637–656, 2012. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  23. W. J. Guerrero, C. Prodhon, N. Velasco, and C. A. Amaya, “Hybrid heuristic for the inventory location-routing problem with deterministic demand,” International Journal of Production Economics, vol. 146, no. 1, pp. 359–370, 2013. View at Publisher · View at Google Scholar · View at Scopus
  24. Y. Zhang, M. Y. Qi, L. X. Miao, and E. Liu, “Hybrid metaheuristic solutions to inventory location routing problem,” Transportation Research Part E: Logistics and Transportation Review, vol. 70, no. 1, pp. 305–323, 2014. View at Publisher · View at Google Scholar · View at Scopus
  25. N. Nekooghadirli, R. Tavakkoli-Moghaddam, V. R. Ghezavati, and S. Javanmard, “Solving a new bi-objective location-routing-inventory problem in a distribution network by meta-heuristics,” Computers and Industrial Engineering, vol. 76, no. 1, pp. 204–221, 2014. View at Publisher · View at Google Scholar · View at Scopus
  26. W. J. Guerrero, C. Prodhon, N. Velasco, and C. A. Amaya, “A relax-and-price heuristic for the inventory-location-routing problem,” International Transactions in Operational Research, vol. 22, no. 1, pp. 129–148, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  27. Y. H. Li, H. Guo, L. Wang, and J. Fu, “A hybrid genetic-simulated annealing algorithm for the location-inventory-routing problem considering returns under E-supply chain environment,” The Scientific World Journal, vol. 2013, Article ID 125893, 10 pages, 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. B. L. Liu, H. Chen, Y. H. Li, and X. Liu, “A pseudo-parallel genetic algorithm integrating simulated annealing for stochastic location-inventory-routing problem with consideration of returns in e-commerce,” Discrete Dynamics in Nature and Society, vol. 2015, Article ID 586581, 15 pages, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  29. J. A. Petersen and V. Kumar, “Perceived risk, product returns, and optimal resource allocation: evidence from a field experiment,” Journal of Marketing Research, vol. 52, no. 2, pp. 268–285, 2015. View at Publisher · View at Google Scholar · View at Scopus
  30. Y. Niu, S. Wang, J. He, and J. Xiao, “A novel membrane algorithm for capacitated vehicle routing problem,” Soft Computing, vol. 19, no. 2, pp. 471–482, 2014. View at Publisher · View at Google Scholar · View at Scopus
  31. M. Ball, L. Bodin, and R. Dial, “A matching based heuristic for scheduling mass transit crews and vehicles,” Transportation Science, vol. 17, no. 1, pp. 4–31, 1983. View at Publisher · View at Google Scholar · View at Scopus
  32. M. Dror, G. Laporte, and P. Trudeau, “Vehicle routing with stochastic demands: properties and solution frameworks,” Transportation Science, vol. 23, no. 3, pp. 166–176, 1989. View at Publisher · View at Google Scholar
  33. Y. Dumas, J. Desrosiers, and F. Soumis, “The pickup and delivery problem with time windows,” European Journal of Operational Research, vol. 54, no. 1, pp. 7–22, 1991. View at Publisher · View at Google Scholar · View at Scopus
  34. M. Dorigo and L. M. Gambardella, “Ant colony system: a cooperative learning approach to the traveling salesman problem,” IEEE Transactions on Evolutionary Computation, vol. 1, no. 1, pp. 53–66, 1997. View at Publisher · View at Google Scholar · View at Scopus
  35. K. Dervis and B. Bahriye, “A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm,” Journal of Global Optimization, vol. 39, no. 3, pp. 459–471, 2007. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  36. “Location-Routing Problems (LRP),” http://sweet.ua.pt/~iscf143/_private/SergioBarreto HomePage.htm.
  37. L. Wang, Y. Shi, and S. Liu, “An improved fruit fly optimization algorithm and its application to joint replenishment problems,” Expert Systems with Applications, vol. 42, no. 9, pp. 4310–4323, 2015. View at Publisher · View at Google Scholar · View at Scopus