Optimal selection of third-party logistics providers using integer programming: a case study of a furniture company storage and distribution (original) (raw)
References
Alkhatib, S. F., Darlington, R. I., & Nguyen, T. T. (2015). Logistics service providers (LSPs) evaluation and selection: Literature review and framework development. Strategic Outsourcing: An International Journal,8(1), 102–134. Article Google Scholar
Alnahhal, M., Ridwan, A., Noche, B. (2014). In-plant milk run decision problems. In: 2014 International Conference on Logistics Operations Management, pp. 85–92. IEEE.
Ambrosino, D., & Scutella, M. G. (2005). Distribution network design: New problems and related models. European Journal of Operational Research,165(3), 610–624. Article Google Scholar
Aragão, D. P., Jr., Novaes, A. G. N., & Luna, M. M. M. (2019). An agent-based approach to evaluate collaborative strategies in milk-run OEM operations. Computers & Industrial Engineering,129(1), 545–555. Article Google Scholar
Bozarth, C., & Handfield, R. B. (2019). Introduction to operations and supply chain management, global edition, 5/E. Pearson. Google Scholar
Brar, G.S., Saini, G. (2011). Milk run logistics: literature review and directions. In 2011 Proceedings of the world congress on engineering, 1(1), 6–8. WCE.
Cheung, R. K., & Muralidharan, B. (1999). Impact of dynamic decision making on hub-and-spoke freight transportation networks. Annals of Operations Research,87, 49–71. Article Google Scholar
Chopra, S. (2019). Supply chain management: strategy, planning, and operation, global edition, 7/E. Pearson. Google Scholar
Gray, A. E., Karmarkar, U. S., & Seidmann, A. (1992). Design and operation of an order-consolidation warehouse: Models and application. European Journal of Operational Research,58(1), 14–36. Article Google Scholar
Hanbazazah, A. S., Abril, L., Erkoc, M., & Shaikh, N. (2019). Freight consolidation with divisible shipments, delivery time windows, and piecewise transportation costs. European Journal of Operational Research,276(1), 187–201. Article Google Scholar
Hiremath, N. C., Sahu, S., & Tiwari, M. K. (2013). Multi objective outbound logistics network design for a manufacturing supply chain. Journal of Intelligent Manufacturing,24(6), 1071–1084. Article Google Scholar
Jafari-Eskandari, M., Aliahmadi, A. R., & Khaleghi, G. H. H. (2010). A robust optimization approach for the milk run problem with time windows with inventory uncertainty: An auto industry supplies chain case study. International Journal of Rapid Manufacturing,1(3), 334–347. Article Google Scholar
Jayaram, J., & Tan, K. C. (2010). Supply chain integration with third-party logistics providers. International Journal of Production Economics,125(2), 262–271. Article Google Scholar
Jung, D., Semeijn, J., & Ghijsen, P. (2008). Evaluating third party logistics relationships: When provider size matters. Review of Business Research,8(5), 68–77. Google Scholar
Krajewski, L. J., Ritzman, L. P., & Malhotra, M. K. (2018). Operations management: Processes and supply chains (12th ed.). Upper Saddle River: Pearson. Google Scholar
Lin, J. R., Nozick, L. K., & Turnquist, M. A. (2006). Strategic design of distribution systems with economies of scale in transportation. Annals of Operations Research,144(1), 161–180. Article Google Scholar
Liu, J. J., So, S. C. K., Choy, K. L., Lau, H., & Kwok, S. K. (2008). Performance improvement of third-party logistics providers—an integrated approach with a logistics information system. International Journal of Technology Management,42(3), 226–249. Article Google Scholar
Melo, M. T., Nickel, S., & Saldanha-Da-Gama, F. (2009). Facility location and supply chain management–A review. European Journal of Operational Research,196(2), 401–412. Article Google Scholar
Owusu Kwateng, K., Manso, J. F., & Osei-Mensah, R. (2014). Outbound logistics management in manufacturing companies in Ghana. Review of Business & Finance Studies,5(1), 83–92. Google Scholar
Roy, J., Pamučar, D., & Kar, S. (2020). Evaluation and selection of third party logistics provider under sustainability perspectives: An interval valued fuzzy-rough approach. Annals of Operations Research,293, 669–714. https://doi.org/10.1007/s10479-019-03501-x. Article Google Scholar
Sharma, S. K., & Kumar, V. (2015). Optimal selection of third-party logistics service providers using quality function deployment and Taguchi loss function. Benchmarking: An International Journal,22(7), 1281–1300. Article Google Scholar
Shyam, M. P. (2012). Heuristic modeling approach for inbound and outbound logistics system of an automobile supply chain network. Pragmata: Journal of Human Sciences,1(1), 1–7. Google Scholar
Singh, A. K., Subramanian, N., Pawar, K. S., & Bai, R. (2018). Cold chain configuration design: Location-allocation decision-making using coordination, value deterioration, and big data approximation. Annals of Operations Research,270(1–2), 433–457. Article Google Scholar
Singh, R. K., Gunasekaran, A., & Kumar, P. (2018). Third party logistics (3PL) selection for cold chain management: A fuzzy AHP and fuzzy TOPSIS approach. Annals of Operations Research,267(1), 531–553. Article Google Scholar
Taylor, C., de Weck, O. (2006). Integrated transportation network design optimization. In: 47th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 14th AIAA/ASME/AHS Adaptive Structures Conference 7th, p. 1912.
Teo, C. P., & Shu, J. (2004). Warehouse-retailer network design problem. Operations Research,52(3), 396–408. Article Google Scholar
Trisna, T., Marimin, M., Arkeman, Y., & Sunarti, T. (2016). Multi-objective optimization for supply chain management problem: A literature review. Decision Science Letters,5(2), 283–316. Article Google Scholar
Vega-Mejía, C. A., Montoya-Torres, J. R., & Islam, S. M. (2019). Consideration of triple bottom line objectives for sustainability in the optimization of vehicle routing and loading operations: A systematic literature review. Annals of Operations Research,273(1–2), 311–375. Article Google Scholar
Zhang, Y., Lin, W. H., Huang, M., & Hu, X. (2019). Multi-warehouse package consolidation for split orders in online retailing. European Journal of Operational Research,289(3), 1040–1055. Article Google Scholar