Digital Twin-driven Supply Chain Planning
Yuchen Wang, Xingzhi Wang, Ang Liu
Abstract
Supply chain planning is an essential element of global manufacturing. In the interest of reliability, efficiency, and productivity, global manufacturers call for a more digital, analytical, and responsive approach of supply chain planning. As an emerging technology, digital twin achieves deep synchronization and dynamic interaction between the physical and virtual worlds. This paper envisions new supply chain planning based on the theoretical foundations and enabling technologies of digital twin. The paper will elaborate the benefits and potentials of DT, in comparison with the existing planning approaches, in terms of demand forecast, aggregate planning and inventory planning.
Topics & Concepts
Supply chainAggregate planningSynchronization (alternating current)Production planningMaterial requirements planningComputer scienceReliability (semiconductor)BusinessProduction (economics)EconomicsMarketingTelecommunicationsMicroeconomicsPhysicsPower (physics)Channel (broadcasting)Quantum mechanicsDigital Transformation in IndustryFlexible and Reconfigurable Manufacturing SystemsIoT and Edge/Fog Computing