Optimal Price and Quantity of Refurbished Products

By J. Vorasayan, Sarah M. Ryan. 2006

211 citations recorded by the source corpus.

Subfields: Management Information Systems, Management of Technology and Innovation, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/a993a35a63271d08c8e5f67f076b2d90be4ee93e

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In Management Information Systems

In Management of Technology and Innovation

In Strategy and Management

Citations in the corpus

Distribution Channel Choice and Divisional Conflict in Remanufacturing Operations (2020, methodology): “Under the above assumptions, similar to Desai and Purohit (1998), Ferguson and Toktay (2006), Vorasayan and Ryan (2006), Oraiopoulos et al. (2012), the inverse demand functions for new and remanufactured products are The technical notation in this section is summarized below: In all, our problem is…”
The Role of Perceived Quality Risk in Pricing Remanufactured Products (2017, background): “…Swaminathan 2006), marketing strategies (e.g., Atasu et al. 2008, Oraiopoulos et al. 2012), impact of remanufacturing on new product design (Atasu and Souza 2013, Galbreth et al. 2013, Orsdemir et al. 2014, Subramanian et al. 2013), and production capacity (Vorasayan and Ryan 2006), among others.”
Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. (2010, background): “Vorasayan and Ryan (2006) model the sale, return, refurbishment, and resale processes as an open queueing network to find the optimal price and proportion of refurbished products.”
Closed-Loop Supply Chains: A Critical Review, and Future Research (2013, unknown): “Vorasayan and Ryan (2006) use the basic demand framework above for a monopolist selling new and remanufactured products, however, they explicitly consider uncertainty in demand when setting the optimal prices in a capacitated setting through the use of a queuing network model.”
Product Reuse Economics in Closed‐Loop Supply Chain Research (2008, background): “Finally, Vorasayan and Ryan (2006) extend the queuing models by Toktay et al. (2000) and Guide et al. (2006) to consider pricing decisions.”