participants
China Petrochemical Development Corporation (CPDC) was established in 1969 as a state-owned enterprise under the supervision of the Ministry of Economic Affairs. In 1991, CPDC was listed on the Taiwan Stock Exchange, and in 1994 the company was privatized. CPDC is one of the business units of the Core Pacific Group. Its core business is in the production of petrochemical intermediates and related engineering plastics, synthetic resins, raw materials for chemical fiber and other derivative products. CPDC believes in market orientation and the pursuit of excellence. We continue to innovate and improve the quality of our products and services. To maximize value for our customers and shareholders, CPDC provides products and services that are designed for customer satisfaction while respecting and caring for employees, customers, suppliers and the community. Our ethos focuses on safety and health, saving energy, and respecting the environment with the aim of achieving “zero defects, zero injuries and zero pollution”. We spare no efort to practice sustainable operations and contribute to society.
因「第2線化學反應趨勢預測」將進入第二階段，9/16(一)凌晨會先清空leaderboard中的成績，並於當日下午開放下載第2階段資料，9/30為成果上傳截止日。敬請把握時間！
This topic is provided by China Petrochemical Development Corporation (CPDC), whose core business is in the production of petrochemical intermediates and related engineering plastics, synthetic resins, raw materials for chemical fiber and other derivative products. The data of this topic is the production record of products, and this product is produced by adopting chemical catalytic reactions. The production record includes operating parameter (A1~A7)and forecast of product conversion（B1~B12), B4 is the main product and B5,B7 is the by-product.
Personnels can determine the changes of future product conversion by referring the known operating parameter, and thus can adjust the operating parameter in order to keep B4- the main product, in the best condition. By doing so, we can reduce the usage of raw materials and improve the productivity of B4.
Everyday we will go through a complete analysis assay of chemical catalytic reactions during Monday to Friday, and we will adjust the parameters refer to the product conversion of the day. By observing the product conversion daily, we can make sure that B4 can remain its best condition.
On this issue, we would like to forecast the product conversion by referring the time trend, mainly the product conversion of B4, B5 and B7, so that we are more likely to adjust the parameter beforehand, to make sure the product conversion can go above the standard.
The first place 100,000 discount points of hicloud
The second place 50,000 discount points of hicloud
The third place 50,000 discount points of hicloud
honorable mention 50,000 discount points of hicloud( multiple winners, depends on the final result)
Rewards were provided by Chunghwa Telecom
Note:
1.Hicloud points can redeem service charge. After the discount, the price will be charged at 30% off based on the list price automatically.
2.Chunghwa Telecom deserves the right to make changes to the terms and conditions herein.
The example of calculating points can be referred to https://aidea-web.tw/computing
Basically, this issue will begin at 12:00 AM Taiwan Standard Time (UTC+8), and the schedule is as follows(DD/MM/YY).
| time | event |
|---|---|
| 12/06/19 | registration starts, and the first stage of data downloading begins |
| 16/09/19 | registration ends,and the second stage of data downloading begins. |
| 30/09/19 | upload deadline of second stage result ( based on only the latest document). |
| 07/10/19 | announce the winners |
This topic requires forecast of the three columns-B4,B5,B7, and the score evaluation will be based on the following.： A score will be given to each of the three forecasts, and their weighted aggregation will be the final score.
The formula is as follows,
column score:
$$ \text{trend}: \text{in each sample, 0.5 points for an accurate forecast and 0 point for an inaccurate one.} $$ $$ \text{deviation} = \frac{y_i – {\lvert \hat{y_i} – y_i \lvert}}{y_i} ,$$ $$ \text{column score} = {\sum_{i=1}^{n} (\text{trend} + \text{deviation} \times 0.5) \over n },$$ $$\text{where } \hat{y_i} \text{ is the predicted value, and } y_i \text{ is the original value} $$final score:
$$ \text{final score} = \text{column score of B4} \times 0.6 + \text{the column score of B5} \times 0.2 + \text{the column score of B7} \times 0.2 $$
