Inventory Items Selection in the Mix Production Strategy with Risk Consideration– A Case Study in Passive Component Inductors

• Main Authors: Ning-Shih Chen, 陳寧世
• Other Authors: Hsin Rau
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/77822226015319949147

碩士 === 中原大學 === 工業與系統工程研究所 === 97 === Globalization brings corporations not only immense markets and business opportunities but also extremely huge competitiveness stress. Having been concentrated on regional competitiveness, the corporations shall start to confront global competitiveness. The supply chain network becomes from regional to global. The electronic industry is a typical demonstration of globalization. The product life cycle for the consumer electronic products are so short where there are lots of competitors. The terminal products are composed of many parts and components which are provided by various manufacturers. The manufacturers are located all around the world. The consumers’ demands are diversifying and uncertain. As the product delivery cycles are usually quicker than the manufacturing cycles, the demands for response from each supply chain shall be increasingly faster and more precise. Amid that the manufacturing cycles are slower than the product delivery cycles, inventory items level seems be a simple and quick solution unless there shall be significant breakthrough on manufacturing technology meeting customers’ current and futuristic demands. Under such a hypothesis, what inventory items shall be maintained? How much inventory items shall be needed? Maintaining unnecessary inventory items can’t satisfy customers’ demands for quick product delivery cycle and can’t bring the corporations benefits in the fiercely competitive markets but results in higher inventory items risk, such as obsolete inventory items, write-off and depreciation losses, and also causes higher operating costs, deceases financial liquidity that all weaken the corporate competitiveness. Instead of the hypothesis of the lowest production cost, the maximum sales profits or the production capacity limits in the past, this research explores how the corporations apply the mix production strategies on the inventory items selections with the hypothesis that a competitive environment is composed of un-free information communication and uncertain demands. The major features for this research are that (1) risk evaluation is taken into consideration, (2) an arithmetic model is established in which each demand cycles and the number of customers for each inventory items are used as risk evaluation basis and historical data collection and calculation are converted into “Quantity-oriented Relative Strength Index” and “Customer-oriented Relative Strength Index” that are used as the reference basis for inventory items selection, (3) Genetic Algorithm is used for making a solution so that the corporations can be assisted in pinpointing out effectively the specific inventory items with futuristic demands and low inventory items risk among many inventory items. A study is conducted on the multilayer chip inductor of passive component in the electronic upper stream industry. The factual data and the model established by this research are applied with genetic algorithm for searching the solution. Repetitive calculation has been proven to be deliver stable results and to find the cost-effective and low-risky inventory items. After the comparison is made between the research results and the case-study corporations’ inventory item selection methods, it has been deduced that the methods submitted by this research excel than the original selection methods and also deliver better efficiency for item selection.