Please use this identifier to cite or link to this item: https://scholar.utcc.ac.th/handle/6626976254/932
Title: Logistic Network Analysis for Stochastic Supply and Demand of Used Products
Authors: Kiran, Mutha Akshay 
Pokharel, Shaligram 
Issue Date: 2007
Publisher: University of the Thai Chamber of Commerce
Source: Mutha Akshay Kiran, Shaligram Pokharel (2007) Logistic Network Analysis for Stochastic Supply and Demand of Used Products.
Conference: Proceedings of the 2nd International Conference on Operations and Supply Chain Management 
Abstract: Reverse logistics (RL) is concerned with reverse flow of the products from consumer to the original equipment manufacturers. The development of the network for collection, storage, inspection, remanufacturing and redistribution are important RL activities that need to be carefully planned.RL is characterized by uncertainty in terms of the receipt of the used products from the consumer. A good returned product can be reused or remanufactured with lower inputs. However, a defective product can either be disposed or recycled. On the other hand, it is also difficult to predict as to what the demand for the remanufactured or reusable products would be. Thus RL has uncertainty as to receipt (of used products) and their processing. Therefore, while designing a network, companies have to consider not only the allocation of capacities for warehouse, transportation but also the stochastic nature of supply and demand. Remanufacturing not only requires the used parts but it also needs to be supplemented by new modules.In this work, we propose a model that considers stochastic supply of return products and stochastic demand for the remanufactured products. The network also considers the sale of reusable modules and materials in the secondary market and the requirements for new modules for remanufacturing in case of higher demand for the remanufactured products. The attempt is to establish a network incorporating the above randomness for strategic decision involving huge capital investments. The network is illustrated by a numerical study.
URI: https://scholar.utcc.ac.th/handle/6626976254/932
Rights: This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
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