Inventory Control in Hybrid Systems with Remanufacturing
Management Science
Pricing and the News Vendor Problem: a Review with Extensions
Operations Research
Matching Demand and Supply to Maximize Profits from Remanufacturing
Manufacturing & Service Operations Management
Supply planning model for remanufacturing system in reverse logistics environment
Computers and Industrial Engineering - Special issue: Logistics and supply chain management
Time Value of Commercial Product Returns
Management Science
Optimal manufacturing-remanufacturing policies in a lean production environment
Computers and Industrial Engineering
OR FORUM---The Evolution of Closed-Loop Supply Chain Research
Operations Research
Expert Systems with Applications: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - FUZZYSS'2011: 2nd International Fuzzy Systems Symposium
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We study the production planning problem for a multi-product closed loop system, in which the manufacturer has two channels for supplying products: producing brand-new products and remanufacturing returns into as-new ones. In the remanufacturing process, used products are bought back and remanufactured into as-new products which are sold together with the brand-new ones. The demands for all the products are uncertain, and their returns are uncertain and price-sensitive. The problem is to maximize the manufacturer's expected profit by jointly determining the production quantities of brand-new products, the quantities of remanufactured products and the acquisition prices of the used products, subject to a capacity constraint. A mathematical model is presented to formulate the problem and a Lagrangian relaxation based approach is developed to solve the problem. Numerical examples are presented to illustrate the model and test the solution approach. Computational results show that the proposed approach is highly promising for solving the problems. The sensitivity analysis is also conducted to generate managerial insights.