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Articles

Stochastic control and optimization in retail distribution: an empirical study of a Korean fashion company

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Pages 223-233 | Received 02 Aug 2017, Accepted 07 May 2018, Published online: 23 May 2018

References

  • Aksoy, A., Ozturk, N., & Sucky, E. (2012). A decision support system for demand forecasting in the clothing industry. International Journal of Clothing Science and Technology, 24(4), 221–236. doi:10.1108/09556221211232829
  • Al-Zubaidi, H., & Tyler, D. (2004). A simulation model of quick response replenishment of seasonal clothing. International Journal of Retail & Distribution Management, 32(6), 320–327. doi:10.1108/09590550410538024
  • Au, K.-F., Choi, T.-M., & Yu, Y. (2008). Fashion retail forecasting by evolutionary neural networks. International Journal of Production Economics, 114(2), 615–630. doi:10.1016/j.ijpe.2007.06.013
  • Blázquez, M. (2014). Fashion shopping in multichannel retail: The role of technology in enhancing the customer experience. International Journal of Electronic Commerce, 18(4), 97–116. doi:10.2753/JEC1086-4415180404
  • Brun, A., Caniato, F., Caridi, M., Castelli, C., Miragliotta, G., Ronchi, S., … Spina, G. (2008). Logistics and supply chain management in luxury fashion retail: Empirical investigation of Italian firms. International Journal of Production Economics, 114(2), 554–570. doi:10.1016/j.ijpe.2008.02.003
  • Cachon, G. P., & Swinney, R. (2011). The value of fast fashion: Quick response, enhanced design, and strategic consumer behavior. Management Science, 57(4), 778–795. doi:10.1287/mnsc.1100.1303
  • Caro, F., & Gallien, J. (2009). Inventory management of a fast-fashion retail network. Operations Research, 58(2), 257–273. doi:10.1287/opre.1090.0698
  • Caro, F., Gallien, J., Díaz, M., García, J., Corredoira, J. M., Montes, M., … Correa, J. (2010). Zara uses operations research to reengineer its global distribution process. Interfaces, 40(1), 71–84. doi:10.1287/inte.1090.0472
  • Choi, T.-M. (2013). Local sourcing and fashion quick response system: The impacts of carbon footprint tax. Transportation research part E: Logistics and transportation review, 55, 43–54. doi:10.1016/j.tre.2013.03.006
  • Choi, T.-M. (2014). Luxury fashion branding: Literature review, research trends, and research agenda. In T.-M. Choi (Ed.), Fashion branding and consumer behaviors: Scientific models (pp. 7–27). New York, NY: Springer New York.10.1007/978-1-4939-0277-4
  • Choi, T.-M., Hui, C.-L., Liu, N., Ng, S.-F., & Yu, Y. (2014). Fast fashion sales forecasting with limited data and time. Decision Support Systems, 59, 84–92. doi:10.1016/j.dss.2013.10.008
  • Chun-Hung, C., Jin-Hui, Z., & Tsan-Ming, C. (2012). Optimal pricing and inventory decisions for fashion retailers under value-at-risk objective: Applications and review. In C. Tsan-Ming (Ed.), Fashion supply chain management: Industry and business analysis (pp. 100–109). Hershey, PA: IGI Global.
  • Davydenko, A., & Fildes, R. (2013). Measuring forecasting accuracy: The case of judgmental adjustments to SKU-level demand forecasts. International Journal of Forecasting, 29(3), 510–522. doi:10.1016/j.ijforecast.2012.09.002
  • Du, W., Leung, S. Y. S., & Kwong, C. K. (2015). A multiobjective optimization-based neural network model for short-term replenishment forecasting in fashion industry. Neurocomputing, 151, Part 1, 342–353. doi:10.1016/j.neucom.2014.09.030
  • Frank, C., Garg, A., Sztandera, L., & Raheja, A. (2003). Forecasting women’s apparel sales using mathematical modeling. International Journal of Clothing Science and Technology, 15(2), 107–125.10.1108/09556220310470097
  • Hu, Z.-H. (2016). Distribution, transshipment, and sustainable logistics for fashion products. In T.-M. Choi (Ed.), Analytical Modeling Research in Fashion Business (pp. 155–196). Singapore: Springer Singapore.
  • Jin, S., & Vidyaranya, B. G. (2012). Strategic sourcing and supplier selection: A review of survey-based empirical research. In C. Tsan-Ming (Ed.), Fashion supply chain management: Industry and business analysis (pp. 149–172). Hershey, PA: IGI Global.
  • Lago, A., Martínez-de-Albéniz, V., Moscoso, P., & Vall, A. (2016). The role of quick response in accelerating sales of fashion goods. In T.-M. Choi (Ed.), Analytical Modeling Research in Fashion Business (pp. 51–78). Singapore: Springer Singapore.
  • Li, Q., Dong, C., & Zhuang, R. (2016). Fashion-retailing inventory management with random supply. In T.-M. Choi (Ed.), Analytical modeling research in fashion business (pp. 115–126). Singapore: Springer Singapore.
  • Li, G., Kang, Y.-C., & Guan, X. (2016). Fashion supply chain inventory optimization models with service level and lead time considerations. In T.-M. Choi (Ed.), Analytical modeling research in fashion business (pp. 237–249). Singapore: Springer Singapore.
  • Li, G., Kang, Y., Liu, M., & Wang, Z. (2014). Optimal Inventory policy under permissible payment delay in fashion supply chains. Mathematical Problems in Engineering, 2014, 9. doi:10.1155/2014/327131
  • Lin, J. J., Sun, P. T., Chen, J. J.-R., Wang, L. J., Kuo, H. C., & Kuo, W. G. (2010). Applying gray model to predicting trend of textile fashion colors. The Journal of the Textile Institute, 101(4), 360–368.10.1080/00405000802435827
  • Liu, M., Bi, W., Chen, X., & Li, G. (2014). Dynamic pricing of fashion-like multiproducts with customers’ reference effect and limited memory. Mathematical Problems in Engineering, 2014, 10. doi:10.1155/2014/157865
  • Liu, N., Ren, S., Choi, T.-M., Hui, C.-L., & Ng, S.-F. (2013). Sales forecasting for fashion retailing service industry: A review. Mathematical Problems in Engineering, 2013, 1–9. doi:10.1155/2013/738675
  • Mostard, J., Teunter, R., & de Koster, R. (2011). Forecasting demand for single-period products: A case study in the apparel industry. European Journal of Operational Research, 211(1), 139–147. doi:10.1016/j.ejor.2010.11.001
  • Nenni, M. E., Giustiniano, L., & Pirolo, L. (2013). Demand forecasting in the fashion industry: A review. International Journal of Engineering Business Management, 5(37), 1–6.
  • Ni, Y., & Fan, F. (2011). A two-stage dynamic sales forecasting model for the fashion retail. Expert Systems with Applications, 38(3), 1529–1536. doi:10.1016/j.eswa.2010.07.065
  • Pan, A., Hui, C.-L., & Ng, F. (2014). An optimization of inventory policy based on health care apparel products with compound poisson demands. Mathematical Problems in Engineering, 2014, 9. doi:10.1155/2014/986498
  • Petro, G. (2015, July 13). The future of fashion retailing, revisited: Part 2 – Zara. Forbes.
  • Ren, S., Choi, T.-M., & Liu, N. (2015). Fashion sales forecasting with a panel data-based particle-filter model. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 45(3), 411–421. doi:10.1109/TSMC.2014.2342194
  • Sardar, S., & Lee, Y. H. (2015). Analysis of product complexity considering disruption cost in fast fashion supply chain. Mathematical Problems in Engineering, 2015, 15. doi:10.1155/2015/670831
  • Shen, B., Jung, J., Chow, P.-S., & Wong, S. (2014). Co-branding in fast fashion: The impact of consumers’ need for uniqueness on purchase perception. In T.-M. Choi (Ed.), Fashion Branding and Consumer Behaviors: Scientific Models (pp. 101–112). New York, NY: Springer New York.10.1007/978-1-4939-0277-4
  • Sun, Z.-L., Choi, T.-M., Au, K.-F., & Yu, Y. (2008). Sales forecasting using extreme learning machine with applications in fashion retailing. Decision Support Systems, 46(1), 411–419. doi:10.1016/j.dss.2008.07.009
  • Sztandera, L. M., Frank, C., & Vemulapali, B. (2004). Predicting women’s apparel sales by soft computing. In Artificial intelligence and soft computing-ICAISC 2004 (pp. 1193–1198). Springer.10.1007/b98109
  • Tan, T., & Alp, O. (2016). Tales of a fashion so(u)rcerer: Optimal sourcing, quotation, and in-house production decisions. In T.-M. Choi (Ed.), Analytical modeling research in fashion business (pp. 129–153). Singapore: Springer Singapore.
  • Thomassey, S. (2010). Sales forecasts in clothing industry: The key success factor of the supply chain management. International Journal of Production Economics, 128(2), 470–483. doi:10.1016/j.ijpe.2010.07.018
  • Thomassey, S. (2014). Sales forecasting in apparel and fashion industry: A review. In T.-M. Choi, C.-L. Hui, & Y. Yu (Eds.), Intelligent fashion forecasting systems: Models and applications (pp. 9–27). Berlin, Heidelberg: Springer Berlin Heidelberg.10.1007/978-3-642-39869-8
  • Thomassey, S., & Fiordaliso, A. (2006). A hybrid sales forecasting system based on clustering and decision trees. Decision Support Systems, 42(1), 408–421. doi:10.1016/j.dss.2005.01.008
  • Thomassey, S., & Happiette, M. (2007). A neural clustering and classification system for sales forecasting of new apparel items. Applied Soft Computing, 7(4), 1177–1187. doi:10.1016/j.asoc.2006.01.005
  • Thomassey, S., Happiette, M., & Castelain, J.-M. (2002). An automatic textile sales forecast using fuzzy treatment of explanatory variables. Journal of Textile and Apparel, Technology and Management, 2(4), 1–15.
  • Thomassey, S., Happiette, M., Dewaele, N., & Castelain, J.-M. (2002). A short and mean term forecasting system adapted to textile items’ sales. The Journal of the Textile Institute, 93(3), 95–104.10.1080/00405000208658360
  • Tsay, A. A. (2001). Managing retail channel overstock: Markdown money and return policies. Journal of Retailing, 77(4), 457–492. doi:10.1016/S0022-4359(01)00055-0
  • Vroman, P., Happiette, M., & Rabenasolo, B. (1998). Fuzzy adaptation of the holt-winter model for textile sales-forecasting. The Journal of the Textile Institute, 89(1), 78–89.10.1080/00405009808658668
  • Wang, X., Chiu, C.-H., & Guo, W. (2014). Improving the performance of modular production in the apparel assembly: A mathematical programming approach. Mathematical Problems in Engineering, 2014, 7. doi:10.1155/2014/472781
  • Wong, W. K., & Guo, Z. X. (2010). A hybrid intelligent model for medium-term sales forecasting in fashion retail supply chains using extreme learning machine and harmony search algorithm. International Journal of Production Economics, 128(2), 614–624. doi:10.1016/j.ijpe.2010.07.008
  • Xia, M., Zhang, Y., Weng, L., & Ye, X. (2012). Fashion retailing forecasting based on extreme learning machine with adaptive metrics of inputs. Knowledge-Based Systems, 36, 253–259. doi:10.1016/j.knosys.2012.07.002
  • Yelland, P. M., & Dong, X. (2014). Forecasting demand for fashion goods: A hierarchical bayesian approach. In T.-M. Choi, C.-L. Hui, & Y. Yu (Eds.), Intelligent fashion forecasting systems: Models and applications (pp. 71–94). Berlin, Heidelberg: Springer Berlin Heidelberg.10.1007/978-3-642-39869-8
  • Yu, Y., Choi, T.-M., & Hui, C.-L. (2012). An intelligent quick prediction algorithm with applications in industrial control and loading problems. IEEE Transactions on Automation Science and Engineering, 9(2), 276–287.10.1109/TASE.2011.2173800
  • Yu, Y., Hui, C.-L., & Choi, T.-M. (2012). An empirical study of intelligent expert systems on forecasting of fashion color trend. Expert Systems with Applications, 39(4), 4383–4389. doi:10.1016/j.eswa.2011.09.153
  • Zhu, X., Mukhopadhyay, S. K., & Yue, X. (2016). Mixed channels for apparel sales. In T.-M. Choi (Ed.), Analytical modeling research in fashion business (pp. 79–100). Singapore: Springer Singapore.

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