The value of numerical models in quick response assortment planning

References

• Anupindi , R , Dada , M and Gupta , S . 1998 . Estimation of consumer demand with stockout based substitution: an application to vending machine products . Marketing Science , 17 ( 4 ) : 406 – 423 .
   Web of Science ®Google Scholar
• Bassok , Y , Anupindi , R and Akella , R . 1999 . Single-period multi-product inventory models with substitution . Operations Research , 47 ( 4 ) : 632 – 642 .
   Web of Science ®Google Scholar
• Bitran , G and Dasu , S . 1992 . Ordering policies in an environment of stochastic yields and substitutable demands . Operation Research , 40 ( 5 ) : 999 – 1017 .
   Web of Science ®Google Scholar
• Chong , JK , Ho , TH and Tang , CS . 2004 . “ Demand modeling in product line trimming: substitutability and variability ” . In Managing business interfaces: marketing, engineering, and manufacturing perspectives , Edited by: Chakravarty , AK and Eliasberg , J . Dordrecht, , The Netherlands : Kluwer Academic Publishers .
   Google Scholar
• Christopher , M , Lowson , R and Pack , H . 2004 . Creating agile supply chains in the fashion industry . International Journal of Retail and Distribution Management , 32 ( 8 ) : 367 – 376 .
   Google Scholar
• Gaur , V and Honhon , D . 2006 . Assortment planning and inventory decisions under a locational choice model . Management Science , 52 ( 10 ) : 1528 – 1543 .
   Web of Science ®Google Scholar
• Gerchak , Y , Tripathy , A and Wang , K . 1996 . Co-production models with random functionality yields . IIE Transactions , 28 ( 5 ) : 391 – 403 .
   Web of Science ®Google Scholar
• Høyland , K , Kaut , M and Wallace , SW . 2003 . A heuristic for moment-matching scenario generation . Computational Optimization and Applications , 24 ( 2–3 ) : 169 – 185 .
   Web of Science ®Google Scholar
• Ifandouas , P and Chapmann , R . 2009 . A practical approach to achieving agility: a theory of constraints perspective . Production Planning and Control , 20 ( 8 ) : 691 – 702 .
   Google Scholar
• Kall , P and Wallace , SW . 1994 . Stochastic programming , Chichester : John Wiley & Sons .
   Google Scholar
• Kaut, M. and Lium, A.G., 2007. Scenario generation: property matching with distribution functions [online]. Working paper. Available from: http://work.michalkaut.net/
   Google Scholar
• Khouja , M , Mehrez , A and Rabinowitz , G . 1996 . A two-item newsboy problem with substitutability . International Journal of Production Economics , 44 ( 3 ) : 267 – 275 .
   Google Scholar
• Kök , AG and Fisher , ML . 2007 . Demand estimation and assortment optimization under substitution: methodology and application . Operations Research , 55 ( 6 ) : 1001 – 1021 .
   Web of Science ®Google Scholar
• Kök , AG , Fisher , M and Vaidyanathan , R . 2008 . “ Assortment planning: review of literature and industry practice ” . In Retail supply chain management , Edited by: Agrawal , N and Smith , SA . Amsterdam : Kluwer Publishers .
   Google Scholar
• Mahajan , S and van Ryzin , G . 1998 . “ Retail inventories and consumer choice ” . In Quantitative methods in supply chain management , Edited by: Tayur , S , Ganesham , R and Magasine , M . Amsterdam, The Netherlands : Kluwer Publishers .
   Google Scholar
• Mahajan , S and van Ryzin , G . 2001 . Stocking retail assortments under dynamic consumer substitution . Operations Research , 49 ( 3 ) : 334 – 351 .
   Web of Science ®Google Scholar
• Netessine , S and Rudi , N . 2003 . Centralized, and competitive inventory models with demand substitution . Operations Research , 51 ( 2 ) : 329 – 341 .
   Web of Science ®Google Scholar
• Parlar , M and Goyal , SK . 1984 . Optimal ordering policies for two substitutable products with stochastic demand . Operations research , 21 ( 1 ) : 1 – 15 .
   Google Scholar
• Pasternack , B and Drezner , Z . 1991 . Optimal inventory policies for substitutable commodities with stochastic demand . Naval Research Logistics , 38 : 221 – 240 .
   Web of Science ®Google Scholar
• Rajaram , K . 2001 . Assortment planning in fashion retailing: methodology, application and analysis . European Journal of Operations Research , 129 : 186 – 208 .
   Web of Science ®Google Scholar
• Rajaram , K and Tang , CS . 2001 . The impact of product substitution on retail merchandising . European Journal of Operations Research , 135 ( 3 ) : 582 – 601 .
   Web of Science ®Google Scholar
• Raman , A , Fisher , ML and McClelland , A . 2001 . “ Supply chain management at World Co. Ltd ” . In Harvard case collection , USA : HBC Publishing .
   Google Scholar
• Rojas , JPS and Frein , Y . 2008 . Coordination and demand uncertainty in supply chains . Production Planning and Control , 19 ( 7 ) : 712 – 721 .
   Google Scholar
• Tang , CS and Yin , R . 2007 . Joint ordering and pricing strategies for managing substitutable products . Production and Operations Management , 16 ( 1 ) : 138 – 153 .
   Web of Science ®Google Scholar
• Vaagen, H. and Halskau, Ø., 2005. Strategic planning under conditions with agile supply. Proceedings of the 17th annual conference for nordic researchers in logistics, NOFOMA 2005, ISBN: 87-988392-1-7, 347–363.
   Google Scholar
• Vaagen , H and Wallace , S . 2008 . Product variety arising from hedging in the fashion supply chains . International Journal of Production Economics , 114 ( 2 ) : 431 – 455 .
   Web of Science ®Google Scholar
• Vaagen, H., Wallace, S.W., and Kaut, M., 2009. Modelling consumer-directed substitution. International Journal of Production Economics, doi:10.1016/j.ijpe.2009.11.012.
   Google Scholar
• van Ryzin , GJ and Mahajan , S . 1999 . On the relationship between inventory costs and variety benefits in retail assortments . Management Science , 45 ( 11 ) : 1496 – 1509 .
   Web of Science ®Google Scholar