數學建模的好處,最小化生產成本 - Data Science

Posted by: Max Chen | in Data Science | 1 year, 2 months ago |

情境,有個需求,配置給某AM工廠多少產量,可以最小化生產成本?

Assume AM Fixed Cost is a const.

AM Fixed Cost + AM Variable costs = TCO1

CM Fixed Cost + AM Variable costs = TCO2

Min TCO1 + TCO2

= Min (AM Fixed Cost + AM Variable costs + CM Variable costs )

= Min (AM Variable costs + CM Variable costs)

= Min (AM P * AM Q + CM P * CM Q)

= MIN (AM P(Q) * AM Q + CM P * CM Q)

= MIN P1(Q1)*Q1 + P2 * (Total Allocation - Q1)

= MIN P1(Q1^2) + P2TA - P2Q1

= MIN P1(Q1^2) - P2*Q1

= Q1 (MIN P1(Q1) - P2)

= 0

Ans : MIN Cost is happened at P1(Q1) = P2

以上就是理解數學建模的魔力計算出的結果,非憶測,而是能用數學證明!

Currently unrated
 or 

Subscribe

* indicates required

Recent Posts

Archive

2023
2022
2021

Categories

Apache 1

Data Science 2

Dbfit 1

Design Pattern 1

Devops 4

DigitalOcean 1

Django 1

English 3

Excel 5

FUN 4

Flask 3

Git 1

HackMD 1

Heroku 1

Html/Css 1

Linux 4

MDX 1

Machine Learning 2

Manufacture 1

Master Data Service 1

Mezzanine 18

Oracle 1

Postgresql 7

PowerBI 4

Powershell 4

Python 22

SEO 2

SQL Server 53

SQL Server Analytics Service 1

SQLite 1

Windows 1

database 8

work-experience 1

其他 1

投資入門 1

投資心得 2

時間管理 1

總體經濟 2

自我成長 3

資料工程 1

Tags

SEO(1) Github(2) Title Tag(2) ML(1) 李宏毅(1) SQL Server(18) Tempdb(1) SSMS(1) Windows(1) 自我成長(2) Excel(1) python Flask(1) python(5) Flask(2)

Authors

Max Chen (159)

Feeds

RSS / Atom

數學建模的好處,最小化生產成本 - Data Science

© COPYRIGHT 2011-2022. Max的文藝復興. ALL RIGHT RESERVED.