AIRCC's International Journal of Computer Science and Information Technology

Jui-Chan Huang ¹, Pei-Yu Shao ², Tzu-Jung Wu ³

Affiliations
1 Yango College, Fuzhou, 350015, CN
2 Department of Business Management, National Kaohsiung Normal University, Kaohsiung, 80201, TW
3 Institute of Human Resource Management, National Sun Yat-Sen University, TW

Abstract

Inventory management was a major issue for all the industries. The supplied of products to customers required the readiness of the inventory. This allowed rapid delivery and reduced waiting time for customers so that companies could profit from it. Any stock out or insufficiency would lead to loss of customers because their needs cannot be met. This would hurt firm profitability and market competitiveness. Inventory control was critical to retain liquidity and avoid overstocking. This was also the key to firm's survival and sustainability. To ensure an appropriate level of inventory, it was necessary to manage the inventory levels with sales forecast on an on-going basis. This paper tried to find out its inventory control in order to assisted Company T to improve its inventory control. Firstly, the products offered by Company T are classified into groups. The R programming language was then used to stimulate and forecast future sales of different products. Different techniques were applied to manage the inventory levels according to the results of categorizations and forecasts.; 3.Consolidation of all the product items and grouping them into activity-based classifications; 4.Simulation and forecasting of future sales according to the categorization results; 5. Formulation of different controlled techniques based on the simulations and forecasts, and application of these methods to inventory management.

Keywords

Improvement of Inventory Control, Forecast, Activity-Based Classification.

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Wen-I Hsiao ¹, Jung-Fan Chen ¹, Jui-Chan Huang ², Tzu-Jung Wu ³

Affiliations
1 Department of Business Administration, National Kaohsiung University of Applied Science, Kaohsiung, TW
2 Yango College, Fuzhou, 350015, CN
3 Institute of Human Resource Management, National Sun Yat-Sen University, TW

Abstract

With low-interest environment in recent years, investment of financial commodity was unable to meet the requirements of necessary paid by society. Therefore, the traditional financial tool were replacing with derivative financial commodity which were high risk, high lever, and high complex; including option, forward contract, futures, credit default swap, and collateralized debt obligations. Global Board Options Exchanges were founded in 1983 that S&PS00 (SPX) index option which launched by the Chicago Board Options Exchange (CBOE). Moreover CBOE was the option which target on trade index at the earliest, and CBOE was the most popular exchange with option trade. Taiwan Futures Exchange (TFE) launched Taiwan weighted index options (TXO) in December 2001 and, and launched stock options in 2003. Currently TXO was the most actively traded options market in Taiwan, but almost had no stock options trading volume due to the release of warrants market. However warrants market and individual stock options had higher homogeneous and better mobility to influence the stock options market. Although Taiwan options market started lately, develops quite fast, the option of Taiwan index was the sixth volume in the global select token name in 2013, that showed that Taiwan index options was a good target on the options-related research. Due to the globalization of financial markets, the single original market waved turn into the global storm which that affected financial asset prices were no longer continuous fluctuations, and it showed a leaps of change by the Butterfly Effect. Because the price process included continuity and discontinuity, the spread and jump process was more accurate than Brownian motion (BM). Currently the derivatives study biased on interest rate futures, foreign futures or foreign exchange futures options and Taiwan index futures options. By the way, the study about the jumping risks related to Taiwan index options effects is rare.

Keywords

Jumping Risk, TAIEX Option Return, TXO, TFE, CBOE.

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