A Capacitated reverse logistics network model with multiple repair types and waiting considerations

In most studies, managers in repair service companies pay attention to minimizing total costs or maximizing profits without taking into account the point of view of the customer. This study aims to develop an optimization model for a repair service network while taking into the concept of waiting ti...

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Main Authors: Almeda, Juan Benjamine, Garcia, Enrico Paolo U., Mendoza, Christian
格式: text
語言:English
出版: Animo Repository 2010
在線閱讀:https://animorepository.dlsu.edu.ph/etd_bachelors/12191
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機構: De La Salle University
語言: English
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總結:In most studies, managers in repair service companies pay attention to minimizing total costs or maximizing profits without taking into account the point of view of the customer. This study aims to develop an optimization model for a repair service network while taking into the concept of waiting time inspired by the Little's law. In order to address this problem, a mixed integer nonlinear programming model was formulated with an objective function of minimizing system total system costs including capital, transportation, processing, and waiting costs. The model was translated into the General Algebraic Mathematical Model System Language. The model was able to capture the logical and expected behavior, and was able to make decisions that minimized the cost of the firm while choosing between two types of service paths: one is the gate keeping facility and major repair facility combination and two is the integrated facility. General equations were formulated, by a scaled down model of two integrated facilities, two gate keeping and two repair facilities used to validate the model reaction. Through the use of Design of Experiments, the significant factors affecting the model were determined. The analyses of the significant factors were evaluated using the Response Surface Methodology. Parameter combinations from lowering capital costs, processing cost, waiting cost and increasing service rate do translate to minimized costs.