Browsing by Author "Sutta Sornmayura"
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ItemCosting a freight forwarder's outsourcing decisionAny international Freight Forwarder in Thailand faces tough competition. Airfreight is needed for some goods. The cost is high, but can be offset by low inventory cost. FF Company, the focus firm, provides airfreight services to manufacturers. To keep prices competitive, FF's total airfreight operation cost has to be contained. This research examined whether to outsource part of its airfreight operation or retain it in-house. The total cost of ownership (TCO) concept is used to evaluate this decision. Service quality had to be maintained, outsourced or not. Three TCO models, one for insourcing and two for outsourcing, compared costs per kilogram, service quality, and pros and cons. The finding were that the operation should be retained in-house, not outsourced.
ItemThe future of Thailand's logistics companiesLogistics companies are well established in Thailand. They service trading companies within Thailand and beyond its borders. There is tough competition in an ever increasing global complex world, in which mega-trends will greatly influence societies, businesses, and logistics firms. As one of the ten members of the Association of Southeast Nations (ASEAN), Thailand faces the imminence of the ASEAN Economic Community (AEC) in December 2015, which presents challenges and opportunities. ASEAN becomes a single market and production base, which, with near-zero customs barriers, will enable easier flow of goods and services as well as of investment, capital, and professionals. This will also help ASEAN countries to become more integrated in the global economic community. AEC has tremendous implications for logistics companies in Thailand, which has a geographically advantageous central position, and which could become the transport hub. There is a need for well educated, multi-skilled graduates, to take a variety of jobs in logistics companies.
ItemImproving vehicle tracking in a holding carpark(Assumption University Press, 2017) Chatchawan Trakoonsitthisri ; Srobol Smutkupt ; Orawee Thongkam ; Sutta Sornmayura ; Assumption University. Martin de Tours School of Management and EconomicsThis research was conducted to improve the operation of a parking area for vehicles waiting for export, and reduce the cost of management fees, through implementation of a barcode system. Barcoding is an automated identification system which is powerful technology and applied in many fields. A barcode system was designed and tested to see if it could solve the parking problem. The focus company in this research manufactures vehicles in Thailand for export. Its internal operations are very good, but identifying where each vehicle is in the special parking area awaiting export was rudimentary. To begin to solve this problem, all relevant data was collated, such as the current ABC Company information and operation, historical data of cost, company volume, and the parking problem. All this was analyzed so as to develop a new and improved parking process. To implement the barcode system, ABC Company had to invest in equipment and software. The Company also modified the parking area by installing stud bars on the ground. Calculation of the Net Present Value of the returns from this project shows that the investment is valuable to the organization. When all the improvements were finished and applied, the researcher compared the ole operation with the new operation, concerning the process and cost. The results of implementing the barcode system not only solved the problem but also improved the vehicle export operation process. This project eliminates non-value added activities and enhances the skill of manpower. Communication inside and outside the Company is easier, accurate, and reliable. All concerned parties quickly dealt with urgent issues. The Company's supply chain is more efficient and effective than before. The Company reduces costs, gains advantage over its competitors and improves collaboration with its partners.
ItemRobust forex trading with Deep Q Network (DQN)(Bangkok : Assumption University, 2019) Sutta SornmayuraFinancial trading is one of the most attractive areas in finance. Trading systems development is not an easy task because it requires extensive knowledge in several areas such as quantitative analysis, financial skills, and computer programming. A trading systems expert, as a human, also brings in their own bias when developing the system. There should be another, more effective way to develop the system using artificial intelligence. The aim of this study was to compare the performance of AI agents to the performance of the buy-and-hold strategy and the expert trader. The tested market consisted of 15 years of the Forex data market, from two currency pairs (EURUSD, USDJPY) obtained from Dukascopy Bank SA Switzerland. Both hypotheses were tested with a paired t-Test at the 0.05 significance level. The findings showed that AI can beat the buy & hold strategy with significant superiority, in FOREX for both currency pairs (EURUSD, USDJPY), and that AI can also significantly outperform CTA (experienced trader) for trading in EURUSD. However, the AI could not significantly outperform CTA for USDJPY trading. Limitations, contributions, and further research were recommended.