| Summary: | 碩士 === 國立清華大學 === 工業工程與工程管理學系 === 101 === In recent years, the life cycle of products has become much shorter because of the rapid technological development. When the products are out of market, it can be attributed to not only the physical deterioration, but also the functional obsolescence. Therefore, product recovery remains valuable. Nowadays, take-back legislation based on extended producer responsibility is critical to a company. Moreover, the business models have gradually changed from traditional product-selling to functional sales. Leasing is an example of functional sales that provides an alternative business strategy to cope with the uncertainty in quantity, quality, and time for the returned products. Leasing also helps Original Equipment Manufacturer (OEM) perform Customer Relation Management (CRM).
In this study, we propose a mathematical model to solve the reutilization planning problem under a Closed-loop Supply Chain (CLSC) system which includes multiple products with components commonality in multiple periods. An analytical leasing model, namely Deterministic Leasing Model (Deterministic-LM), is divided into two phases. The first phase of leasing model is pricing model in the form of Integer Non-linear Program (INLP), and the second phase of leasing model is production planning model in the form of Integer Linear Program (ILP).
The goals of the first phase are to determine the optimal leasing prices and the optimal quantity for the leased products at different leasing periods, and the goal of the second phase is to determine the optimal production planning under the production capacity constraints. According to different characteristics of the components, the model can be used to support the manager's decision regarding the optimal combinations of components from different products for reuse and upgrade possibilities.
Because demand forecasting has been an uncertainty for a company in order to cope such uncertainty, we propose a robust model of leasing in a closed-loop supply chain system, namely Robust Leasing Model (Robust-LM), which provides a robust decision on the volumes of processed components and procured components such that the limited capacity can be efficiently utilized. Finally, numerical results are presented to illustrate the procedure and the validity of the proposed model with the sensitivity analysis. The result of planning is an optimal production scheme which contributes to achieving high cost savings and effective reuse along the multiple times of components.
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