Article
Computer Science, Artificial Intelligence
Achmad Pratama Rifai, Setyo Tri Windras Mara, Andi Sudiarso
Summary: This study is the first to consider the inclusion of sequence-dependent setup time in the DRPFS. An improved version of the MOALNS algorithm is proposed to solve the sequence-dependent DRPFS problem by updating strategies to find near-optimal solutions. Numerical experiments have demonstrated the efficiency of the algorithm in finding high-quality solutions in a relatively short time.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Engineering, Industrial
Elad Shufan, Tal Grinshpoun, Ehud Ikar, Hagai Ilani
Summary: The article focuses on the problem of a reentrant flow shop with identical jobs and makespan minimisation objective. It presents an optimal integer programming formulation and corrects and analyzes two greedy heuristic algorithms for the problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Qianqian Zheng, Yu Zhang, Hongwei Tian, Lijun He
Summary: This paper presents a mathematical model for a reentrant hybrid flow shop problem with sequence-dependent setup time and limited buffers. To address the complexity of the problem, an effective cooperative adaptive genetic algorithm (CAGA) is proposed. The algorithm includes dual chain coding, staged-hierarchical decoding, dispatch heuristics, adaptive adjustment strategy, and reset strategy. Experimental results demonstrate that the proposed CAGA outperforms other well-known algorithms in solving the problem.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Computer Science, Information Systems
Tairan Song, Yan Qiao, Yunfang He, Naiqi Wu, Zhiwu Li, Bin Liu
Summary: Cluster tools are important equipment in semiconductor manufacturing systems and widely used for wafer fabrication processes. The scheduling of cluster tools with reentrant processes is complex. Existing studies only provide optimal 1-WP schedules for dual-arm cluster tools with two-time reentering. This work explores the existence of 1-WP schedules for dual-arm cluster tools with more than two reentering times and proposes new methods for three-wafer periodical schedules.
Article
Computer Science, Interdisciplinary Applications
Zebang Zhang, Mozafar Saadat
Summary: This paper proposes a method for optimizing grasp poses for manipulating pipe assemblies in the manufacturing process. It formulates the problem as a constrained multi-objective optimization problem and uses an algorithm to iteratively improve solutions based on robot workspace reachability and collision avoidance. The method considers multiple inverse kinematics solutions and uses a graph search algorithm to find the optimal trajectory. Extensive benchmarks show that the proposed method achieves better overall results compared to other algorithms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Engineering, Industrial
Tae-Sun Yu, Jun-Hee Han
Summary: This research focuses on machine scheduling problems inspired by semiconductor manufacturing, considering periodic machine maintenance in single machine and flow shop scheduling models with proportionate processing times. The study shows that maximum lateness and total completion time in a single machine can be minimized using a monotone scheduling rule, and that the same rule is optimal for a proportionate flow shop in terms of maximum lateness. However, it is found that the scheduling algorithm for a single machine may not necessarily be optimal for a proportionate flow shop in terms of total completion time. It is proven that a proportionate flow shop can be solved with an O(n(2)) algorithm for total completion time, and even total weighted completion time can be minimized with the same computational complexity. Furthermore, the generalization of these results is discussed when considering additional setup operations.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Industrial
Fernando Tubilla, Stanley B. Gershwin
Summary: The study focused on production scheduling in a multi-item, failure-prone machine, aiming to minimize long-run average inventory and backlog costs. Through experiments, it was found that a new policy outperformed benchmarking policies in high-utilization systems.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Mechanical
Binbin Li, Yan-Long Xie, Siu-Kui Au
Summary: The ambient vibration test (AVT) of structures often uses a 'multi-setup' strategy when the number of desired mode shape measurement positions exceeds the available sensors. This paper proposes metrics to quantify the performance of a multi-setup configuration and highlights the importance of reference sensor placement. Practical implications suggest that reference sensors should be placed with consideration to signal-to-noise ratio and detectable modes, while rover sensors can be planned based on logistical constraints.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Multidisciplinary Sciences
Zongqi Guo, Dylan Boylan, Li Shan, Xianming Dai
Summary: Researchers report a flow-separation condensation mode on a hydrophilic reentrant slippery liquid-infused porous surface (SLIPS) that can rapidly remove droplets with diameters above 50μm and achieve high frequency droplet collection. This new approach significantly increases the water harvesting rate compared to traditional hydrophilic flat SLIPS.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Computer Science, Artificial Intelligence
Hong-Bo Song, Jian Lin
Summary: The paper introduces a GP-HH algorithm to address the DAPFSP-SDST problem by using genetic programming to generate heuristic sequences and incorporating simulated annealing for local search, achieving effective solutions and improving upon existing benchmarks.
SWARM AND EVOLUTIONARY COMPUTATION
(2021)
Article
Engineering, Industrial
Manuel Iori, Alberto Locatelli, Marco Locatelli
Summary: This article discusses a real-world scheduling problem in the color printing industry, where print jobs are assigned to different types of flexographic printer machines. The goal is to minimize a weighted sum of total weighted tardiness and setup time. The authors developed a greedy randomised adaptive search procedure with various local search procedures, which showed excellent performance in computational experiments.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Thermodynamics
Luiz H. Silva Jr, Jader R. Barbosa Jr, Alexandre K. da Silva
Summary: Uncorrelated flow images are utilized to investigate complex features in phase change processes. Machine-learning algorithms are trained using three experimental datasets to classify and quantify key flow parameters of R-134a condensing in a vertical straight tube. The results demonstrate the significant impact of data splitting methods on algorithm accuracy.
APPLIED THERMAL ENGINEERING
(2023)
Article
Engineering, Industrial
Kuo-Ching Ying, Pourya Pourhejazy, Chen-Yang Cheng, Ren-Siou Syu
Summary: This research extends the distributed assembly permutation flowshop scheduling problem to account for flexible assembly and sequence-independent setup times in a supply chain-like setting. Constructive heuristic and customised metaheuristic algorithms are proposed to solve this emerging scheduling extension, demonstrating higher performance compared to existing algorithms.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Review
Chemistry, Multidisciplinary
Ling Bai, Ning Wang, Yuliang Li
Summary: Organic semiconductors (OSs) are currently utilized as active components in various practical devices, with design strategies combining organic synthetic chemistry and supramolecular assembly technology playing a crucial role in the development of a new generation of multiscale OSs. These strategies aim to satisfy the requirements of different devices by controlling the morphology and properties of multiscale OS components from nanometers to macroscopic micrometers. Various design strategies have been comprehensively reviewed, with discussions on applications in practical devices and future research directions.
ADVANCED MATERIALS
(2022)
Article
Chemistry, Analytical
Shuo Wang, Jingjing Zheng, Bin Zheng, Xianta Jiang
Summary: Pattern recognition using sEMG for prosthesis control has been a topic of interest. Current methods rely on sEMG signals during firmly grasped period, but this may cause delay. By studying the changes in grasp classification accuracy during reaching and grasping, we found a period before firmly grasped that can be used for early grasp classification with reduced delay.
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)