An agent-based infrastructure for assessing the performance of planning approaches for semiconductor supply chains
作者：
Highlights：
• Large-scale, distributed planning problems arise in semiconductor supply chains.
• An experimental infrastructure for performance assessment is proposed.
• It is based on software agents hybridized with cloud computing techniques.
• Discrete-event simulation is applied to cover the dynamics and the uncertainty.
• The benefit of the experimental environment is demonstrated by examples.
摘要
•Large-scale, distributed planning problems arise in semiconductor supply chains.•An experimental infrastructure for performance assessment is proposed.•It is based on software agents hybridized with cloud computing techniques.•Discrete-event simulation is applied to cover the dynamics and the uncertainty.•The benefit of the experimental environment is demonstrated by examples.
论文关键词：Planning,Semiconductor Supply Chains,Performance Assessment,Software Agents,Discrete-event Simulation
论文评审过程：Received 28 October 2021, Revised 18 January 2022, Accepted 26 March 2022, Available online 1 April 2022, Version of Record 25 April 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.117001
