Free Access
RAIRO-Oper. Res.
Volume 55, 2021
Regular articles published in advance of the transition of the journal to Subscribe to Open (S2O). Free supplement sponsored by the Fonds National pour la Science Ouverte
Page(s) S523 - S547
Published online 02 March 2021
  • C. Abecassis-Moedas, Integrating design and retail in the clothing value chain: an empirical study of the organisation of design. Int. J. Oper. Prod. Manage. 26 (2006) 412–428. [Google Scholar]
  • P. Basu and S.K. Nair, A decision support system for mean-variance analysis in multi-period inventory control. Decis. Support Syst. 57 (2014) 285–295. [Google Scholar]
  • P.Q. Brito, C. Soares, S. Almeida, A. Monte and M. Byvoet, Customer segmentation in a large database of an online customized fashion business. Rob. Comput.-Integr. Manuf. 36 (2015) 93–100. [Google Scholar]
  • F. Caniato, M. Caridi, A. Moretto, A. Sianesi and G. Spina, Integrating international fashion retail into new product development. Int. J. Prod. Econ. 147 (2014) 294–306. [Google Scholar]
  • C.M. Castelli and A. Brun, Alignment of retail channels in the fashion supply chain: an empirical study of Italian fashion retailers. Int. J. Retail Distrib. Manage 38 (2010) 24–44. [Google Scholar]
  • J.-M. Chen and C.-I. Chang, Dynamic pricing for new and remanufactured products in a closed-loop supply chain. Int. J. Prod. Econ. 146 (2013) 153–160. [Google Scholar]
  • M.J.B.L. Delgado and M.H.F. Albuquerque, The contribution of regional costume in fashion. Proc. Manuf. 3 (2015) 6380–6387. [Google Scholar]
  • A. Delgoshaei, A. Ali, M.K.A. Ariffin and C. Gomes, A multi-period scheduling of dynamic cellular manufacturing systems in the presence of cost uncertainty. Comput. Ind. Eng. 100 (2016) 110–132. [Google Scholar]
  • A. Delgoshaei, M.K.A.M. Ariffin, Z. Leman, B.H.T.B. Baharudin and C. Gomes, Review of evolution of cellular manufacturing system’s approaches: material transferring models. Int. J. Precis. Eng. Manuf. 17 (2016) 131–149. [Google Scholar]
  • A. Delgoshaei, M.K.A. Ariffin and A. Ali, A multi-period scheduling method for trading-off between skilled-workers allocation and outsource service usage in dynamic CMS. Int. J. Prod. Res. 55 (2017) 997–1039. [Google Scholar]
  • C.-Y. Dye and T.-P. Hsieh, An optimal replenishment policy for deteriorating items with effective investment in preservation technology. Eur. J. Oper. Res. 218 (2012) 106–112. [Google Scholar]
  • M.A. El-Baz, Fuzzy performance measurement of a supply chain in manufacturing companies. Expert Syst. App. 38 (2011) 6681–6688. [Google Scholar]
  • R. Fornasiero, L. Macchion and A. Vinelli, Supply chain configuration towards customization: a comparison between small and large series production. IFAC-PapersOnLine 48 (2015) 1428–1433. [Google Scholar]
  • Y. He, S.-Y. Wang and K.K. Lai, An optimal production-inventory model for deteriorating items with multiple-market demand. Eur. J. Oper. Res. 203 (2010) 593–600. [Google Scholar]
  • P. Hsu, H. Wee and H. Teng, Preservation technology investment for deteriorating inventory. Int. J. Prod. Econ. 124 (2010) 388–394. [Google Scholar]
  • R. Iannone, G. Martino, S. Miranda and S. Riemma, Modeling fashion retail supply chain through causal loop diagram. IFAC-PapersOnLine 48 (2015) 1290–1295. [Google Scholar]
  • G. Jia and M. Bai, An approach for manufacturing strategy development based on fuzzy-QFD. Comput. Ind. Eng. 60 (2011) 445–454. [Google Scholar]
  • E. Levner, Risk/Cost analysis of sustainable management of wastewater for irrigation: supply chain approach. In: Wastewater Reuse–Risk Assessment, Decision-Making and Environmental Security. Springer (2007) 33–42. [Google Scholar]
  • E. Levner and J.-M. Proth, Strategic management of ecological systems: a supply chain perspective. In: Strategic Management of Marine Ecosystems. Springer (2005) 95–107. [Google Scholar]
  • E. Levner, D. Alcaide Lopez de Pablo and J. Ganoulis, Risk management of transboundary water resources using the green supply chain approach. Int. J. Risk Assess. Manage. 10 (2008) 357–372. [Google Scholar]
  • Y. Li, C. Wei and X. Cai, Optimal pricing and order policies with B2B product returns for fashion products. Int. J. Prod. Econ. 135 (2012) 637–646. [Google Scholar]
  • T.-F. Liang, H.-W. Cheng, P.-Y. Chen and K.-H. Shen, Application of fuzzy sets to aggregate production planning with multiproducts and multitime periods. IEEE Trans. Fuzzy Syst. 19 (2011) 465–477. [Google Scholar]
  • A. Lion, L. Macchion, P. Danese and A. Vinelli, Sustainability approaches within the fashion industry: the supplier perspective. Supply Chain Forum: An International Journal 17 (2016) 95–108. [Google Scholar]
  • C.K. Lo, A.C. Yeung and T. Cheng, The impact of environmental management systems on financial performance in fashion and textiles industries. Int. J. Prod. Econ. 135 (2012) 561–567. [Google Scholar]
  • B.L. MacCarthy and P. Jayarathne, Supply network structures in the international clothing industry: differences across retailer types. Int. J. Oper. Prod. Manage. 33 (2013) 858–886. [Google Scholar]
  • L. Macchion, A. Moretto, F. Caniato, M. Caridi, P. Danese and A. Vinelli, Production and supply network strategies within the fashion industry. Int. J. Prod. Econ. 163 (2015) 173–188. [Google Scholar]
  • L. Macchion, A.M. Moretto, F. Caniato, M. Caridi, P. Danese and A. Vinelli, International e-commerce for fashion products: what is the relationship with performance? Int. J. Retail Distrib. Manage. 45 (2017) 1011–1031. [Google Scholar]
  • L. Macchion, A. Moretto, F. Caniato, M. Caridi, P. Danese, G. Spina and A. Vinelli, Improving innovation performance through environmental practices in the fashion industry: the moderating effect of internationalisation and the influence of collaboration. Prod. Plan. Control 28 (2017) 190–201. [Google Scholar]
  • L. Macchion, A. Da Giau, F. Caniato, M. Caridi, P. Danese, R. Rinaldi and A. Vinelli, Strategic approaches to sustainability in fashion supply chain management. Prod. Plan. Control 29 (2018) 9–28. [Google Scholar]
  • M. Mehrjoo and Z.J. Pasek, Impact of product variety on supply chain in fast fashion apparel industry. Proc. CIRP 17 (2014) 296–301. [Google Scholar]
  • V.K. Mishra, L.S. Singh and R. Kumar, An inventory model for deteriorating items with time-dependent demand and timevarying holding cost under partial backlogging. J. Ind. Eng. Int. 9 (2013) 4. [Google Scholar]
  • G. Montagna, Multi-dimensional consumers: fashion and human factors. Proc. Manuf. 3 (2015) 6550–6556. [Google Scholar]
  • A. Moretto, L. Macchion, A. Lion, F. Caniato, P. Danese and A. Vinelli, Designing a roadmap towards a sustainable supply chain: a focus on the fashion industry. J. Cleaner Prod. 193 (2018) 169–184. [Google Scholar]
  • J. Mula, D. Peidro and R. Poler, The effectiveness of a fuzzy mathematical programming approach for supply chain production planning with fuzzy demand. Int. J. Prod. Econ. 128 (2010) 136–143. [Google Scholar]
  • A. Musa and B. Sani, Inventory ordering policies of delayed deteriorating items under permissible delay in payments. Int. J. Prod. Econ. 136 (2012) 75–83. [Google Scholar]
  • A. Nagurney and M. Yu, Sustainable fashion supply chain management under oligopolistic competition and brand differentiation. Int. J. Prod. Econ. 135 (2012) 532–540. [Google Scholar]
  • Y. Ni and F. Fan, A two-stage dynamic sales forecasting model for the fashion retail. Expert Syst. App. 38 (2011) 1529–1536. [Google Scholar]
  • E.U. Olugu and K.Y. Wong, An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry. Expert Syst. App. 39 (2012) 375–384. [Google Scholar]
  • L.-Y. Ouyang, K.-S. Wu and C.-T. Yang, A study on an inventory model for non-instantaneous deteriorating items with permissible delay in payments. Comput. Ind. Eng. 51 (2006) 637–651. [Google Scholar]
  • D. Peidro, J. Mula, M. Jiménez and M. del Mar Botella, A fuzzy linear programming based approach for tactical supply chain planning in an uncertainty environment. Eur. J. Oper. Res. 205 (2010) 65–80. [Google Scholar]
  • M.S. Pishvaee, F. Jolai and J. Razmi, A stochastic optimization model for integrated forward/reverse logistics network design. J. Manuf. Syst. 28 (2009) 107–114. [Google Scholar]
  • Y. Qin, H. Tang and C. Guo, On an inventory model for deteriorating items of price-sensitive demand and quantity discounts [J]. Oper. Res. Manage. Sci. 15 (2006) 22–26. [Google Scholar]
  • Z. Qin, M. Bai and D. Ralescu, A fuzzy control system with application to production planning problems. Inf. Sci. 181 (2011) 1018–1027. [Google Scholar]
  • D.G. Regulwar and J.B. Gurav, Irrigation planning under uncertainty – a multi objective fuzzy linear programming approach. Water Resour. Manage. 25 (2011) 1387–1416. [Google Scholar]
  • A. Şen, The US fashion industry: a supply chain review. Int. J. Prod. Econ. 114 (2008) 571–593. [Google Scholar]
  • J. Sicilia, M. González-De-la-Rosa, J. Febles-Acosta and D. Alcaide-López-de-Pablo, An inventory model for deteriorating items with shortages and time-varying demand. Int. J. Prod. Econ. 155 (2014) 155–162. [Google Scholar]
  • S. Tong, C. Liu and Y. Li, Fuzzy-adaptive decentralized output-feedback control for large-scale nonlinear systems with dynamical uncertainties. IEEE Trans. Fuzzy Syst. 18 (2010) 845–861. [Google Scholar]
  • S.-P. Wang, W. Lee and C.-Y. Chang, Modeling the consignment inventory for a deteriorating item while the buyer has warehouse capacity constraint. Int. J. Prod. Econ. 138 (2012) 284–292. [Google Scholar]
  • G.A. Widyadana and H.M. Wee, Optimal deteriorating items production inventory models with random machine breakdown and stochastic repair time. Appl. Math. Modell. 35 (2011) 3495–3508. [Google Scholar]
  • L. Yang and C.T. Ng, Flexible capacity strategy with multiple market periods under demand uncertainty and investment constraint. Eur. J. Oper. Res. 236 (2014) 511–521. [Google Scholar]
  • F. Zhao, Y. Hong, D. Yu, Y. Yang and Q. Zhang, A hybrid particle swarm optimisation algorithm and fuzzy logic for process planning and production scheduling integration in holonic manufacturing systems. Int. J. Comput. Integr. Manuf. 23 (2010) 20–39. [Google Scholar]
  • E. Zhou, J. Zhang, Q. Gou and L. Liang, A two period pricing model for new fashion style launching strategy. Int. J. Prod. Econ. 160 (2015) 144–156. [Google Scholar]

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