Title :
Activity Cost Based Manufacturer Cost and Profit Optimization
Author :
Zhang, Bi-Xi ; Xie, Xiang-tian ; Liang, Hui-rong
Author_Institution :
Guangdong Univ. of Technol., Guangzhou
Abstract :
Based on the theory of supply chain management and activity-based costing method, we study the cost structure of manufacturer, which is in the mode of supply chain operation. And then we develop two models: manufacturer´s cost model and profit optimize model. Every client´s cost can be computed using the cost model respectively. The customer order quantities are defined as decision-variable, and the manufacturer´s profit as the objective function in the profit optimization model. At last we apply genetic algorithm method to simulate a case of manufacture enterprise with the real data, the results show that the method is effective and the manufacturer enterprises can increase its profit by adjusting the client´s order quantities.
Keywords :
activity based costing; genetic algorithms; supply chain management; activity cost based manufacturer cost; activity-based costing method; genetic algorithm method; objective function; profit optimization; supply chain management; Cost function; Costing; Cybernetics; Genetic algorithms; Logistics; Machine learning; Packaging machines; Raw materials; Supply chain management; Virtual manufacturing; Activity-based costing; Genetic algorithm; Supply chain management;
Conference_Titel :
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-0973-0
Electronic_ISBN :
978-1-4244-0973-0
DOI :
10.1109/ICMLC.2007.4370530