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|Other Titles: ||Integrated supplier-retail inventory models with quality improvement and trade credit|
|Authors: ||莊承儒;Chuang, Cheng-Ju|
|Keywords: ||不良品;品質改善;信用交易;整合存貨模式;Defective product;Quality improvement;Trade Credit;Integrated Inventory Model|
|Issue Date: ||2011-12-28 18:16:01 (UTC+8)|
|Abstract: || 存貨管理一直是企業經營中相當重要和關鍵性的因素。而在過去關於存貨管理的研究中大都假設生產過程完備，所產出的產品皆為良品。但實務上，由於機器設備老舊或人為操作失當等，都會導致產生不良品。|
Inventory management is a very important and critical function of the business enterprise. In past, most inventory models run on the assumption that product process is in the normal situation, meaning that all products are all perfect. However, in real production environments, machine might deteriorate and employee might operate machine in the wrong way, it might cause producing defective products.
On the other hand, the supplier in order to increase market competition is willing to offer the retailer a certain trade credit period without paying interest and can use the sales revenue to earn interest during the trade credit period. When the period is due, and the payment is made, the retailer has to pay interest for the products still in stock.
This thesis develops two integrated supply chain inventory models, it handles the supplier how to reduce the products defective rate by investing capital and offers the retailer trade credit conditions. In chapter 2, we develop an integrated supplier-retail inventory model with the supplier offers the retailer a cash discount if payment is made before a specified period, and if the retailer does not pay within the specified period, the total purchasing costs must be paid before the delay payment due date. In chapter 3, the condition of trade credit depends on retailer’s order quantity is considered. The goal of these integrated inventory models above are to maximize total profit per unit time, and further, this thesis establishes an algorithm to determine the optimal strategy for each model. Finally, numerical examples are provided to show the solution procedure, and the sensitivity analyses are presented to illustrate the effects of the change of the parameter values on optimum solution.
|Appears in Collections:||[管理科學學系暨研究所] 學位論文|
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