The successful launch of the HuiPai APS Supply Chain Resource Planning platform relies not only on algorithms, constraint theory, and intelligent computation, but also on a thorough investigation and reorganization of factory operations. This involves establishing various data models, business models, priority rules, and calculation rules.

Each factory operates with its own production mode, requiring customized scheduling parameter settings tailored to the enterprise's specific production patterns. This transforms the personal experience of planners into sustainable knowledge, systematic rules, and models.

The configuration of models and rules cannot be perfected in a single attempt. Professional consultants will accompany users during the business design, user training, and user testing phases, working together to repeatedly simulate and validate to the greatest extent possible. This process establishes the general model and parameter system of the smart factory, as well as defining special models for unique business scenarios.

The system provides customizable configuration functionalities for models. Once users master the rules, they can independently add or modify rules and models as business needs evolve. Moreover, before plan release, multiple plan simulations can be conducted. Users can repeatedly adjust parameters or manually modify plans to obtain the optimal solution before releasing plans or work orders. This further reduces the disruptions caused by plan deviations on the production floor of the smart factory.