Investment decisions in the rent-to-own industry in the absence of inventory / M. H. Anderson in Journal of the operational research society (JORS), Vol. 63 N° 1 (Janvier 2012)  

Public ISBD [article]  inJournal of the operational research society (JORS) > Vol. 63 N° 1 (Janvier 2012) . - pp. 89–106 Titre : Investment decisions in the rent-to-own industry in the absence of inventory Type de document : texte imprimé Auteurs : M. H. Anderson, Auteur ; S. Sibdari, Auteur Année de publication : 2012 Article en page(s) : pp. 89–106 Note générale : Recherche opérationnelle Langues : Anglais (eng) Mots-clés : Dynamic programming Inventory level Consumer credit Payment schedule Transactions data Empirical estimation Index. décimale : 001.424 Résumé : This study addresses the product investment decision faced by firms in the rent-to-own industry. In this setting, a customer arrives according to a random process and requests one unit of a product to rent (and eventually own should he/she choose to make all the required payments). At the time of request, if the product is available in inventory, the firm enters into a contractual agreement (by accepting the customer's offer) and rents the merchandise. More interesting and the case considered here, if the requested item is not in inventory, the firm must decide whether to purchase the item in order to rent it out or to simply reject the request. The customer's offer specifies the desired maximum contract length and the payment frequency—from which the firm determines the fixed periodic payment charged. The firm makes its investment decision based on the characteristics of the offer as well as those of the product (eg, initial and resale values, useful life and carrying costs) in essence performing a complicated cost benefit analysis. An extension is also considered whereby instead of simply rejecting the request the firm can adjust the required payment amount. Dynamic programming techniques are used to address the problem and to solve for the firm's optimal decision. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n1/abs/jors20113a.html [article] Investment decisions in the rent-to-own industry in the absence of inventory [texte imprimé] / M. H. Anderson, Auteur ; S. Sibdari, Auteur . - 2012 . - pp. 89–106. Recherche opérationnelle Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 63 N° 1 (Janvier 2012) . - pp. 89–106 Mots-clés : Dynamic programming Inventory level Consumer credit Payment schedule Transactions data Empirical estimation Index. décimale : 001.424 Résumé : This study addresses the product investment decision faced by firms in the rent-to-own industry. In this setting, a customer arrives according to a random process and requests one unit of a product to rent (and eventually own should he/she choose to make all the required payments). At the time of request, if the product is available in inventory, the firm enters into a contractual agreement (by accepting the customer's offer) and rents the merchandise. More interesting and the case considered here, if the requested item is not in inventory, the firm must decide whether to purchase the item in order to rent it out or to simply reject the request. The customer's offer specifies the desired maximum contract length and the payment frequency—from which the firm determines the fixed periodic payment charged. The firm makes its investment decision based on the characteristics of the offer as well as those of the product (eg, initial and resale values, useful life and carrying costs) in essence performing a complicated cost benefit analysis. An extension is also considered whereby instead of simply rejecting the request the firm can adjust the required payment amount. Dynamic programming techniques are used to address the problem and to solve for the firm's optimal decision. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n1/abs/jors20113a.html

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
aucun exemplaire