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Optimal pricing and production decisions in utilizing reusable containers
In this study, we focus on pricing and production decisions in utilizing reusable containers with stochastic customer demand. We consider a manufacturer that sells a single product to the customers in reusable containers with two supply options: (i) brand-new containers and (ii) returned containers...
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Published in: | International journal of production economics 2013-06, Vol.143 (2), p.222-232 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | In this study, we focus on pricing and production decisions in utilizing reusable containers with stochastic customer demand. We consider a manufacturer that sells a single product to the customers in reusable containers with two supply options: (i) brand-new containers and (ii) returned containers from customers. The return quantity depends on both customer demand and the acquisition fee determined by the manufacturer. The unit cost of production using brand-new containers is different than the unit cost of reusing returned containers. The customers are indifferent between brand-new and recovered products. We also consider resource restrictions on the production operations. In this setting, we investigate the optimal pricing and production decisions in order to maximize the manufacturer's profit. We characterize the optimal acquisition fee and the optimal order quantity of brand-new containers analytically and investigate the effect of parameters through an extensive computational study.
► We consider a manufacturer that sells a single product in reusable containers. ► We focus on pricing and production decisions under resource restrictions. ► The return quantity depends on both customer demand and the acquisition fee. ► In an uncapacitated system, returns are always utilized, even if they cost more. ► In a capacitated system, returns may be declined depending on system parameters. |
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ISSN: | 0925-5273 1873-7579 |
DOI: | 10.1016/j.ijpe.2011.08.007 |