Product introduction
BAPS features optimal production planning, order dispatch along with data analytics. With cutting edge AI technology, BAPS is capable of generating optimal production schedule even with complex constraints, long process sequence, dynamic changes etc. With BAPS, a clear forecast of order delivery time based on customer demands, material supplies, capacity constraints can be taken before problems occur.
BAPS features optimal production planning, order dispatch along with data analytics. With cutting edge AI technology, BAPS is capable of generating optimal production schedule even with complex constraints, long process sequence, dynamic changes etc. With BAPS, a clear forecast of order delivery time based on customer demands, material supplies, capacity constraints can be taken before problems occur.
System functions
Factory modeling
A modeling platform that provides graphical programming tools to flexibly model constraints of processes, equipment, worker skills, working shift etc. defining relations among different factors, providing a unified way to manage digital information.
Resource management
Easily integrate with external IT system to migrate data into a unified format so that data of workers, equipment, inventory, processes etc. can all be coordinated. It also supports splitting or combining orders, alternate routes etc.
Intelligent planning
Based on digital modelling and advanced AI algorithms flexible and optimal production scheduling can be achieved even under complex constraints with multiple objectives. In addition, uncertainties of execution can be well adjusted via fast re-planning.
Version comparison
Allows users to manually adjust schedules to accommodate special requests. In addition, BAPS provides parallel computation of multiple versions of schedules to help tradeoffs via version comparison.
Execution tracking
A compact architecture empowers connectivity between planning level and execution level to close the loop from management decision to factory floor operation. With real time data execution collected from factory floor, BAPS tracks progress of execution and make immediate schedule adjustment when necessary.
Strategy analysis
With data visualization, real time update, and multi-dimensional data analysis, production status can be mastered comprehensively and efficiently. Key metrics like order fulfillment rate, OEE can be obtained intuitively.
System advantages
Data analytics of alternative plans
Via comparing multiple versions of production schedules with corresponding KPIs, wise and quantitative choice can be made.
Quick response to changes and exceptions
In the event of arrival of urgent orders, equipment break down and other exceptions, quick recovery can be computed powered by fast extended search algorithm which help to minimize interruption of on-going production.
Powerful algorithm for optimality
With BITO’s cutting edge deep search algorithm, optimal production schedule can be quickly computed even when facing most complex manufacturing scenarios.
Self-improvement over time
Extended search algorithm is used to continuously improve quality of production schedule when time allows while quickly output feasible production schedule when time is limited. A value function generated from deep learning guarantees optimal production schedule can be achieve during the searching process.
Detailed plan ahead of production
Scheduling not only plans time for equipment, it coordinates customer orders, supplies, workers etc. to achieve continuous manufacturing with flexibility.
Using template or customize
BITO modelling tools builds a digital twin of factories. Domain know-how can be configured using provided graphical programming tools and then transfer those know-how to similar factories. Management preference and know-hows can be easily configured.
Technical advantages
Using digital modelling technology combined with deepsearch algorithm, BAPS can precisely describe manufacturing processes into logical expressions. Optimal production schedulethat satisfies manufacturing constraintscanbecomputed efficiently.
Using digital modelling technology combined with deep search algorithm, BAPS can precisely describe manufacturing processes into logical expressions. Optimal production schedule that satisfies manufacturing constraints can be computed efficiently.