[Data Science Use Case] Automation of Production Planning

Which products to produce in which factories and in what quantities! A case study of formulating and implementing a mathematical optimization problem.

We will introduce a case where production planning automation was achieved in the manufacturing industry. There was a challenge to optimize "which products to produce at which factories and in what quantities," reducing the man-hours required for production site allocation by implementing an optimization model, while also considering production and transportation costs as well as the capacity of each factory. Therefore, we introduced a production planning optimization model. We formulated a mathematical optimization problem based on constraints such as product production costs, transportation costs, tariffs, and the capacity of each factory, and implemented it. [Case Overview] ■ Industry: Manufacturing ■ Business: Production Planning ■ Challenge: Mathematical Optimization ■ Analytics and AI Solution - Formulated and implemented a mathematical optimization problem *For more details, please refer to the PDF document or feel free to contact us. - Related link - https://www.tdse.jp/

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