Please use this identifier to cite or link to this item:
Multi-echelon Integrated Inventory Model with Fuzzy Demand under Permissible Delay in Payment Depend on Order Quantity
|Authors: ||Lai, Shih-Chieh|
|Contributors: ||NTOU:Department of Transportation Science|
permissible delay in payment;fuzzy theory;multi-echelon supply chain;integrated inventory model;lead time differences
|Issue Date: ||2020-07-02T08:25:56Z
In today’s highly competitive global market, supply chain managers recognize the importance of interactions between financial and inventory decisions in the development of effective supply chains. Simultaneously, in order to promote the competition and differentiation advantage in the industry, the supply chain management has become a critical issue in both practices, academic, and supply chain members have to cooperate with each other to bring more benefits. As a result, this research proposes a multi-echelon inventory model with permissible delay in payment and considering the scenario of uncertain demand to find out the effect on order quantity in inventory policy to enhance the profit of the supply chain. Generally speaking, the credit period is directly proportional to the order quantity. In order to prove this phenomenon, the model in this paper creates a novel mathematical program to consider this condition into the integrated inventory formula. Furthermore, achieving effective coordination among the supply chain members has become a pertinent research issue. This research develops a multi-stage inventory model with lead time differences, backorders, and fuzzy demand. It means the retailer allows the supplier can receive products without payment immediately. Depending on the scale of the order quantity, supply chain members will also generate additional opportunity costs or interest income by the different credit period. Consequently, with a numerical example provided here to illustrate the solution procedure, this research could provide some managerial insights which support decision makers to control the lead time and payment time to improve the performance of the supply chain and solve the complicated inventory problems in real-world operation.
|Appears in Collections:||[運輸科學系] 博碩士論文|
All items in NTOUR are protected by copyright, with all rights reserved.