Zhicong Zhang

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Kits (such as accessories, fixtures, jigs, etc.) are widely used in production for many industries. They are normally product- and machine-specific, so a large kit inventory must be maintained when the product-mix variation is high. Fortunately, many kits are reconfigurable. That means they can be dissembled into components and then these components(More)
Capacity planning determines the optimal product mix based on the available tool sets and allocates production capacity according to the forecasted demands for the next few months. MaxIt is the previous capacity planning system for Intel's Flash Product Group (FPG) Assembly & Test Manufacturing (ATM). It only applied to single product family scenarios(More)
Reinforcement learning (RL) is a state or action value based machine learning method which solves large-scale multi-stage decision problems such as Markov Decision Process (MDP) and Semi-Markov Decision Process (SMDP) problems. We minimize the makespan of flow shop scheduling problems with an RL algorithm. We convert flow shop scheduling problems into SMDPs(More)
Assembly sequence planning (ASP) is a combinatorial optimization problem in which the order for each part and subassembly is determined. This order is then incorporated into an incrementally expanding subassembly and eventually results in a final assembly. To address this problem, we propose an improved cat swarm optimization (CSO) algorithm and redefine(More)