- Advanced Manufacturing and Logistics Optimization
- Scheduling and Optimization Algorithms
- Optimization and Packing Problems
- Advanced Control Systems Optimization
- Numerical methods in inverse problems
- Electromagnetic Scattering and Analysis
- Optimization and Search Problems
- Thermoelastic and Magnetoelastic Phenomena
- Advanced Mathematical Modeling in Engineering
- Metaheuristic Optimization Algorithms Research
- Numerical methods in engineering
- Assembly Line Balancing Optimization
Tongji University
2010-2021
Sun Yat-sen University
2020-2021
The growing energy consumption and environmental pressures call for economic friendly green manufacturing. paper creatively studies an part feeding scheduling problem with a cooperative mechanism to coordinate multiple mobile robots in the fullest sense. When solving co-scheduling mixed-model assembly lines, this jointly considers objective of saving as well robot employment cost, which incorporates traditional performance criterion concerns. In order improve diversity solutions, multi-phase...
The environmental and economic pressures caused by energy consumption arouse energy-saving consciousness of the manufacturing industry. To this end, paper integrates energy-awareness into research unrelated parallel machines scheduling problem with multiple auxiliary resources which is typical in photolithography process wafer fabrication. With a comprehensive consideration jobs requiring different processing demands, setup times, ready resource constraints consumption, model multi-objective...
This paper investigates a two-stage reentrant hybrid flow shops scheduling problem. In this problem, each product is processed layer by with different processing time. To be more practical, the queue time between parallel machines and batch machine restricted. The objective to minimise total completion A column generation algorithm proposed solve problem decomposing into main workpiece level sub-problem. method, dynamic programming multiple decision-making designed sub-problem adaptive...
In semiconductor wafer manufacturing, furnaces are mainly used for diffusion and deposition operations. During operations, wherever a furnace becomes available, scheduling the next batch deals with decisions on which operation to process how many lots group batch. To resolve mentioned problem of where existing multi-products different due dates, heuristic dynamic algorithm called WCRHA (weighted cost rate algorithm) is presented minimize objective value waiting per unit time based date...
With a comprehensive consideration of multiple product types, sequence-dependent setup time constraints and two different processing modes in wafer fabrication process, scheduling model orders per job hybrid flow shop with an objective function minimising total completion the system is developed. On basis description, new column generation algorithm based on three-level (job-product-machine) disjunctive network put forward. Furthermore, order to improve degradation effects algorithm,...
In semiconductor fabrications, batch processing devices (BPD) are mainly used for oxidation, diffusion, deposition and performance test operations. To optimize scheduling solutions of non-identical BPDs where existing multi-products different due dates, a heuristic method based on Particle swarm optimization (PSO) weighted cost rate (WCR) is proposed minimizing the objective earliness/tardiness(E/T) penalties. The two-level algorithm developed. Experiment results indicate that valid...
With a comprehensive consideration of multiple product types, sequence-dependent setup time constraints and two different processing modes in wafer fabrication process, scheduling model orders per job hybrid flow shop with an objective function minimising total completion the system is developed. On basis description, new column generation algorithm based on three-level (job-product-machine) disjunctive network put forward. Furthermore, order to improve degradation effects algorithm,...
The problem of out-of-focus image restoration can be modeled as an ill-posed integral equation, which regularized a second kind equation using the Tikhonov method. multiscale collocation method with compression strategy has already been developed to discretize this well-posed equation. However, computation and solution large are two time-consuming processes. To overcome these difficulties, we propose fully discrete approximation compute integral, efficiently converts operation matrix reduces...
This paper investigates a two-stage reentrant hybrid flow shops scheduling problem. In this problem, each product is processed layer by with different processing time. To be more practical, the queue time between parallel machines and batch machine restricted. The objective to minimise total completion A column generation algorithm proposed solve problem decomposing into main workpiece level sub-problem. method, dynamic programming multiple decision-making designed sub-problem adaptive...