Clottey, Toyin

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tclottey@iastate.edu
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Title
Professor
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Organizational Unit
Supply Chain Management
Supply chain management is an integrated program of study concerned with the efficient flow of materials, products, and information within and among organizations. It involves the integration of business processes across organizations, from material sources and suppliers through manufacturing, and processing to the final customer. The program provides you with the core knowledge related to a wide variety of supply chain activities, including demand planning, purchasing, transportation management, warehouse management, inventory control, material handling, product and service support, information technology, and strategic supply chain management.
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Forecasting Product Returns for Remanufacturing Operations

2012-08-01 , Clottey, Toyin , Benton, W. C. , Srivastava, Rajesh , Supply Chain Management , Supply Chain and Information Systems

Driven by legislative pressures, an increasing number of manufacturing companies have been implementing comprehensive recycling and remanufacturing programs. The accurate forecasting of product returns is important for procurement decisions, production planning, and inventory and disposal management in such remanufacturing operations. In this study, we consider a manufacturer that also acts as a remanufacturer, and develop a generalized forecasting approach to determine the distribution of the returns of used products, as well as integrate it with an inventory model to enable production planning and control. We compare our forecasting approach to previous models and show that our approach is more consistent with continuous time, provides accurate estimates when the return lags are exponential in nature, and results in fewer units being held in inventory on average. The analysis revealed that these gains in accuracy resulted in the most cost savings when demand volumes for remanufactured products were high compared to the volume of returned products. Such situations require the frequent acquisition of cores to meet demand. The results show that significant cost savings can be achieved by using the proposed approach for sourcing product returns.