期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：8
页码：2334-2347
出版社：Journal of Theoretical and Applied
摘要：Purchase order fulfillment is a common activity in many companies, especially in general trading company. Meanwhile, this process is never easy, especially for companies that execute this process manually. Related to it, the most common method in purchase order fulfillment is first come first served (FCFS) model. Although this model is very popular, many companies may face classical problem in matching stock with orders: under supplied or over supplied. Besides that, companies also face other problem in failing order fulfillment. Based on this problem, the objective of this research is proposing new order fulfillment model so that the mismatch between order and fulfillment can be reduced. In this work, we propose three purchase order fulfillment model. In this work, our proposed models are developed by combining several common models, such as: FCFS, smallest quantity, highest price, and bidding models. The hypothesis is that by combining the existing popular FCFS model with other models, this mismatch problem can be reduced. Every model in this work is developed based on multi step fulfillment to explore the advantages of every basic model that is used in it. We use general trading company because in this company type, there is not any raw material in its inventory. Based on the simulation result, our proposed models have better performance in increasing the number of successful transactions than the existing models at the same condition. The proposed FCFS-bidding model performs the best in total revenue aspect. Meanwhile, these three proposed models perform better than the existing FCFS model when the average order quantity is high although this advantage is not significant.
关键词：Purchase order; First Come First Served (FCFS); Bidding; Smallest Quantity; Highest Price;
