MONEY-BACK GUARANTEE WARRANTY POLICY FOR SENSOR EMBEDDED REMANUFACTURED PRODUCTS

Money-back guarantee warranty policy with preventive maintenance strategy for sensor-embedded remanufactured products

In today’s global environment, technology is constantly evolving. Being able to stay up-to-date with the very latest technological advances can be extremely hard to accomplish. As a result of these changes and developments in technology, which often come unexpectedly, consumers are frequently tempted to update their devices to the very latest model. The result is that the life cycle of a produc...

Warranty Period and Product Price Optimization for Remanufactured Products

Revenue and Cost Management for Remanufactured Products

This paper studies joint pricing and remanufacturing strategy of a firm that decides to offer both new and remanufactured versions of its product in the market. In making this decision, the firm balances the additional revenue from selling remanufactured products, the demand cannibalization of new product sales, and the cost of remanufacturing. We present the model of the firm’s decisions and c...

Managing new and differentiated remanufactured products

We study a firm that makes new products in the first period and uses returned cores to make remanufactured products (along with new products) in future periods. The remanufactured product is differentiated from the new product, so the firm needs to choose differentiated prices. We analyze the monopoly environment in two-period, multi-period (three, four and five) and infinite planning horizons,...

Forecasting warranty claims for recently launched products

Forecasting warranty claims for recently launched products that have short histories of claim records is vitally important for manufacturers in preparing their fiscal plans. Since the amount of historical claim data for such products is not large enough, developing forecasting models with good performance has been a difficult problem. The objective of this paper is to develop an algorithm for f...