Free Access
Issue
RAIRO-Oper. Res.
Volume 55, Number 3, May-June 2021
Page(s) 1171 - 1195
DOI https://doi.org/10.1051/ro/2021038
Published online 11 May 2021
  • A. Adhikari, A. Bisi and B. Avittathur, Coordination mechanism, risk sharing, and risk aversion in a five-level textile supply chain under demand and supply uncertainty. Eur. J. Oper. Res. 282 (2020) 93–107. [Google Scholar]
  • A. Ait-Alla, M. Teucke, M. Lütjen, S. Beheshti-Kashi and H.R. Karimi, Robust production planning in fashion apparel industry under demand uncertainty via conditional value at risk. Math. Prob. Eng. (2014) 1–10. [Google Scholar]
  • V.A. Armentano, A.L. Shiguemoto and A. Løkketangen, Tabu search with path relinking for an integrated production–distribution problem. Comput. Oper. Res. 38 (2011) 1199–1209. [Google Scholar]
  • K.F. Au, T.M. Choi and Y. Yu, Fashion retail forecasting by evolutionary neural networks. Int. J. Prod. Econ. 114 (2008) 615–630. [Google Scholar]
  • S. Berbain, R. Bourbonnais and P. Vallin, Spécificités et problématiques des produits à durée de vie courte. In: Proceeding of the 8th International conference on Logistics and SCM Research. RIRL 2010, Bordeaux (2010). [Google Scholar]
  • M. Boudia and C. Prins, A memetic algorithm with dynamic population management for an integrated production–distribution problem. Eur. J. Oper. Res. 195 (2009) 703–715. [Google Scholar]
  • Z.L. Chen, Integrated production and outbound distribution scheduling: review and extensions. Oper. Res. 58 (2010) 130–148. [Google Scholar]
  • Z.L. Chen and G.L. Vairaktarakis, Integrated scheduling of production and distribution operations. Manage. Sci. 51 (2005) 614–628. [Google Scholar]
  • C. Ching-Chin, A.I.K. Ieng, W. Ling-Lang and K. Ling-Chieh, Designing a decision-support system for new product sales forecasting. Expert Syst. App. 37 (2010) 1654–1665. [Google Scholar]
  • S. Chopra and P. Meindl, Supply Chain Management: Strategy, Planning and Operation, 6th edition. Pearson Education (2016). [Google Scholar]
  • F. Darvishi, R.G. Yaghin and A. Sadeghi, Integrated fabric procurement and multi-site apparel production planning with cross-docking: a hybrid fuzzy-robust stochastic programming approach. Appl. Soft Comput. 92 (2020) 106–267. [Google Scholar]
  • B. Fahimnia, R.Z. Farahani, R. Marian and L. Luong, A review and critique on integrated production–distribution planning models and techniques. J. Manuf. Syst. 32 (2013) 1–19. [Google Scholar]
  • P. Farahani, M. Grunow and H.O. Günther, Integrated production and distribution planning for perishable food products. Flexible Serv. Manuf. J. 24 (2012) 28–51. [Google Scholar]
  • H. Felfel, O. Ayadi and F. Masmoudi, Multi-stage stochastic supply chain planning in textile and apparel industry under demand uncertainty with risk considerations. Int. J. Serv. Oper. Manage. 29 (2018) 289–311. [Google Scholar]
  • A. Ghasemi Bijaghini and S.M. SeyedHosseini, A new Bi-level production-routing-inventory model for a medicine supply chain under uncertainty. Int. J. Data Network Sci. 2 (2018) 15–26. [Google Scholar]
  • D. Ghosh and S. Mondal, An integrated production–distribution planning of dairy industry – a case study. Int. J. Logistics Syst. Manage. 30 (2018) 225–245. [Google Scholar]
  • A.P. Kanyalkar and G.K. Adil, An integrated aggregate and detailed planning in a multi-site production environment using linear programming. Int. J. Prod. Res. 43 (2005) 4431–4454. [Google Scholar]
  • B.B. Keskin and H. Üster, Meta-heuristic approaches with memory and evolution for a multi-product production/distribution system design problem. Eur. J. Oper. Res. 182 (2007) 663–6820. [Google Scholar]
  • Y. Kim, C. Yun, S. Bin Park, S. Park and L.T. Fan, An integrated model of supply Network and production planning for multiple fuel products of multi-site refineries. Comput. Chem. Eng. 32 (2008) 2529–2535. [Google Scholar]
  • A.A. Kurawarwala and H. Matsuo, Forecasting and Inventory Management of Short Life-Cycle Products. Oper. Res. 44 (1996) 131–150. Special Issue on New Directions in Operations Management. [Google Scholar]
  • H. Li, G. Pedrielli, L.H. Lee and E.P. Chew, Enhancement of supply chain resilience through inter-echelon information sharing. Flexible Serv. Manuf. J. 29 (2017) 260–285. [Google Scholar]
  • Y. Li, F. Chu, C. Feng, C. Chu and M. Zhou, Integrated production inventory routing planning for intelligent food logistics systems. IEEE Trans. Intell. Trans. Syst. 20 (2019) 867–878. [Google Scholar]
  • S. Liu and L.G. Papageorgiou, Multiobjective optimisation of production, distribution and capacity planning of global supply chains in the process industry. Omega 41 (2013) 369–382. [Google Scholar]
  • S.H. Liao, C.L. Hsieh and W.C. Ho, Multi-objective evolutionary approach for supply chain network design problem within online customer consideration. RAIRO:OR 51 (2017) 135–155. [Google Scholar]
  • S. Moons, K. Ramaekers and A. Caris, Integrated production–distribution models: a state of the art. In: 29th Conference of the Belgian operational Research Society (2015). [Google Scholar]
  • J. Morrison, How to use diffusion models in new product forecasting. J. Bus. Forecasting Methods Syst. 15 (1996) 6–9. [Google Scholar]
  • J. Mostard, R. Teunter and R. De Koster, Forecasting demand for single-period products: a case study in the apparel industry. Eur. J. Oper. Res. 211 (2011) 139–147. [Google Scholar]
  • J. Mula, D. Peidro, M. Daz-Madroñero and E. Vicens, Mathematical programming models for supply chain production and transport planning. Eur. J. Oper. Res. 204 (2010) 377–390. [Google Scholar]
  • M.E. Nenni, L. Giustiniano and L. Pirolo, Demand forecasting in the fashion industry: a review. To appear in: Int. J. Eng. Bus. Manage. (2013). DOI: 10.5772/56840. [Google Scholar]
  • G. Pundoor and Z.L. Chen, Joint cyclic production and delivery scheduling in a two-stage supply chain. Int. J. Prod. Econ. 119 (2009) 55–74. [Google Scholar]
  • K. Ratna Kumar, T. Radha Ramanan and S.R. Anand Abraham, Integrated production distribution problem in a partial backorder and order refusal environment. Int. J. Manage. Concepts Phil. 12 (2019) 296–311. [Google Scholar]
  • F. Rømo, A. Tomasgard, L. Hellemo, M. Fodstad, B.H. Eidesen and B. Pedersen, Optimizing the Norwegian Natural gas production and transport. Interfaces 39 (2009) 46–56. [Google Scholar]
  • R. Russell, W.-C. Chiang and D. Zepeda, Integrating multi-product production and distribution in newspaper logistics. Comput. Oper. Res. 35 (2008) 1576–1588. [Google Scholar]
  • I. Safra, A. Jebali, Z. Jemai, H. Bouchriha and A. Ghaffari, Capacity planning in Textile and apparel supply chains. IMA J. Manage. Math. 30 (2019) 209–233. [Google Scholar]
  • S. Sarkar and B.C. Giri, A vendor–buyer integrated inventory system with variable lead time and uncertain market demand. Oper. Res. 20 (2020) 491–515. [Google Scholar]
  • S. Sarkar, B.C. Giri and A.K. Sarkar, A vendor–buyer inventory model with lot-size and production rate dependent lead time under time value of money. RAIRO:OR 54 (2020) 961–979. [Google Scholar]
  • H. Selim, C. Araz and I. Ozkarahan, Collaborative production–distribution planning in supply chain: a fuzzy goal programming approach. Transp. Res. Part E-Logistics Transp. Rev. 44 (2008) 396–419. [Google Scholar]
  • A. Sen and A.X. Zhang, Style goods pricing with demand learning. Eur. J. Oper. Res. 196 (2009) 1058–1075. [Google Scholar]
  • R. Sousa, N. Shah and L.G. Papageorgiou, Supply chain design and multilevel planning-An industrial case. Comput. Chem. Eng. 32 (2008) 2643–2663. [Google Scholar]
  • M.W. Suh, E.K. Lee and M.T. Holt, Estimation of consumer demands: an application to US apparel expenditures. J. Textile Apparel 1 (2000) 1–9. [Google Scholar]
  • S. Thomassey, M. Happiette and J.M. Castelain, An automatic textile sales forecast using fuzzy treatment of explanatory variables. J. Textile Apparel Technol. Manage. 2 (2002) 1–12. [Google Scholar]
  • S. Thomassey, M. Happiette and J.M. Castelain, A global forecasting support system adapted to textile distribution. Int. J. Prod. Econ. 96 (2005) 81–95. [Google Scholar]
  • P. Tsiakis and L.G. Papageorgiou, Optimal production allocation and distribution supply chain networks. Int. J. Prod. Econ. 111 (2007) 468–483. [Google Scholar]
  • X. Wen, T.-M. Choi and S.-H. Chung, Fashion retail supply chain management: a review of operational models. Int. J. Prod. Econ. 207 (2019) 34–55. [Google Scholar]
  • J. Wu, X. Zhai, C. Zhang and X. Liu, Sharing quality information in a dual-supplier network: a game theoretic perspective. Int. J. Prod. Res. 49 (2010) 199–214. [Google Scholar]
  • T. Yang and W. Fan, Information management strategies and supply chain performance under demand disruptions. Int. J. Prod. Res. 54 (2016) 8–27. [Google Scholar]
  • Y. Yu, Sales forecasting using extreme learning machine with applications in fashion retailing. Decis. Support Syst. 46 (2008) 411–419. [Google Scholar]
  • Y. Yu, T. Choi and C. Hui, An intelligent fast sales forecasting model for fashion products. Expert Syst. App. 38 (2011) 7373–7379. [Google Scholar]

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