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Robert Setaputra

Researcher at Shippensburg University of Pennsylvania

Publications -  10
Citations -  287

Robert Setaputra is an academic researcher from Shippensburg University of Pennsylvania. The author has contributed to research in topics: Reverse logistics & Supply chain. The author has an hindex of 6, co-authored 10 publications receiving 268 citations. Previous affiliations of Robert Setaputra include University of Wisconsin–Milwaukee.

Papers
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Journal ArticleDOI

The role of 4PL as the reverse logistics integrator

TL;DR: In this paper, the authors proposed the use of a fourth party logistics (4PL) as a return service provider, and developed optimal decision policies for both the seller and the 4PL.
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A dynamic model for optimal design quality and return policies

TL;DR: A profit-maximization model is developed to jointly obtain optimal policies for the product quality level, price and the return policy over time and considers the decisions as the product moves through the life cycle.
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A framework for research in reverse logistics

TL;DR: In this article, the authors attempt to develop a research framework in the area of reverse logistics by dividing it into six research categories, and provide an extensive literature survey, and show the basic research premises and scope of each of these areas.
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Return policy in product reuse under uncertainty

TL;DR: In this paper, a profit maximization model is presented to obtain the optimal return policy for a reuse business to ensure adequate supply of the used products in the reverse channel, where the authors also obtain a number of managerial guidelines for using marketing and operational strategy variables to influence the reaction parameters so as to obtain maximum benefit from the market.
Proceedings ArticleDOI

Optimal Return Policy for e-Business

TL;DR: In this paper, a model for obtaining the optimum return policy in conjunction with the optimum pricing policy giving the optimal strategy is presented, and a profit-maximization model to obtain optimal return policy including price as a decision variable is presented.