T/BIAIM 0015-2024 Distributed Factory Capacity Optimization Scheduling Method

Scope

Main technical content: In addition to the standard normative elements (scope, normative reference documents, terms and definitions, etc.), the main content of this standard includes distributed factory optimization scheduling principles, capacity optimization scheduling processes, capacity assessment, and resource optimization scheduling methods. Among them: (1) Distributed factory optimization scheduling principles include six principles, including resource integration and sharing, demand response, cost control, risk management, energy conservation and emission reduction, and intelligent decision-making. (2) The distributed factory optimization scheduling process stipulates the entire process from capacity assessment to detection and verification. (3) Distributed factory capacity assessment stipulates five indicators, including capacity utilization rate, production cycle, work-in-process inventory, production efficiency, and production flexibility. (4) The resource optimization scheduling method lists the advantages and application scenarios of various algorithms.

Development Information

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