Jorge Arinez
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View article: Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing
Hierarchical energy signatures using machine learning for operational visibility and diagnostics in automotive manufacturing Open
Manufacturing energy consumption data contains important process signatures required for operational visibility and diagnostics. These signatures may be of different temporal scales, ranging from monthly to sub-second resolutions. We intro…
View article: Design and Implementation of Simulation-Based Scheduling System with Reinforcement Learning for Re-Entrant Production Lines
Design and Implementation of Simulation-Based Scheduling System with Reinforcement Learning for Re-Entrant Production Lines Open
Recently, manufacturing companies have been making efforts to increase resource utilization while ensuring the flexibility of production lines to respond to rapidly changing market environments and customer demand. In the high-tech manufac…
View article: Filling Missing Surface Roughness Data for Grinding Process Using Physics-Guided Neural Network
Filling Missing Surface Roughness Data for Grinding Process Using Physics-Guided Neural Network Open
Missing data is often unavoidable in real-world datasets which may lead to poor data-driven analysis and unreliable prediction. Filling the missing data presents a nontrivial challenge in existing techniques. Current naïve methods for fill…
View article: A Case Study on First Time Quality Feature Investigation for an Automotive Paint Shop
A Case Study on First Time Quality Feature Investigation for an Automotive Paint Shop Open
In today's highly automated automotive paint shops, production equipment such as robots and conveyors controlled by various sensors and programmable logic controllers (PLCs) are widely used to coat vehicle bodies-in-white. A high-volume au…
View article: Conveyor-Less Urban-Car Assembly Factory with VaaC and Matrix System
Conveyor-Less Urban-Car Assembly Factory with VaaC and Matrix System Open
The advent of autonomous electric vehicles (AEVs) will give drivers time and space instead of focusing on driving. Because of this, some drivers may want to personalize their car for their work, while others may want to customize their veh…
View article: Improving Production Performance Through Multi-Plant Cross Learning
Improving Production Performance Through Multi-Plant Cross Learning Open
The advancement in Web-/Internet-based technologies and applications in manufacturing sector has increased the tilization of cyber workspace to enable more efficient and effective ways of doing manufacturing from distributed locations. Thi…
View article: Explaining Learning Models in Manufacturing Processes
Explaining Learning Models in Manufacturing Processes Open
The use of advanced machine learning (ML) models for manufacturing could potentially reduce the pre-production testing and validation time for new processes. Once we decide that ML is indeed a suitable tool to apply in smart manufacturing …
View article: Learning with Missing Data
Learning with Missing Data Open
Many real-world data sets contain missing values, therefore, learning with incomplete data sets is a common challenge faced by data scientists. Handling them in an intelligent way is important to develop robust data models, since there is …
View article: Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook
Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook Open
Today’s manufacturing systems are becoming increasingly complex, dynamic, and connected. The factory operations face challenges of highly nonlinear and stochastic activity due to the countless uncertainties and interdependencies that exist…
View article: WITHDRAWN: Deep Reinforcement Learning based Preventive Maintenance Policy for Serial Production Lines
WITHDRAWN: Deep Reinforcement Learning based Preventive Maintenance Policy for Serial Production Lines Open
The Publisher regrets that this article is an accidental duplication of an article that has already been published, http://dx.doi.org/10.1016/j.eswa.2020.113701. The duplicate article has therefore been withdrawn. The full Elsevier Policy …
View article: Analysis of Downtime Transient Impact for Energy Efficient Manufacturing Systems
Analysis of Downtime Transient Impact for Energy Efficient Manufacturing Systems Open
In this paper, we investigate how a scheduled downtime would affect the manufacturing system throughput. The impact of a scheduled downtime on manufacturing system future behavior is analyzed based on the system physical constraints. We pr…
View article: Enhanced Performance of Ultrasonic Welding of Short Carbon Fiber Polymer Composites Through Control of Morphological Parameters
Enhanced Performance of Ultrasonic Welding of Short Carbon Fiber Polymer Composites Through Control of Morphological Parameters Open
Ultrasonic welding (USW) is one of the joining technologies that can be applied to short carbon fiber thermoplastic composites. In this study, the USW of Nylon 6 reinforced by short carbon fibers created using injection molding is used to …
View article: Where Do We Start? Guidance for Technology Implementation in Maintenance Management for Manufacturing
Where Do We Start? Guidance for Technology Implementation in Maintenance Management for Manufacturing Open
Recent efforts in smart manufacturing (SM) have proven quite effective at elucidating system behavior using sensing systems, communications, and computational platforms, along with statistical methods to collect and analyze the real-time p…
View article: Laser Joining of Carbon-Fiber-Reinforced Polymer and Metal with High-Strength and Corrosion-Resistant Bonds
Laser Joining of Carbon-Fiber-Reinforced Polymer and Metal with High-Strength and Corrosion-Resistant Bonds Open
The combination of thermoplastic composites and metals is a critical methodology to enable the lightweight structures. Due to the high incompatibility of their physical and chemical properties, the bonding strength is always weak. In addit…
View article: A Maintenance and Energy Saving Joint Control Scheme for Sustainable Manufacturing Systems
A Maintenance and Energy Saving Joint Control Scheme for Sustainable Manufacturing Systems Open
Energy saving has always been a major concern in the design and operation of sustainable manufacturing systems. Optimal maintenance strategies have also been explored intensively to achieve manufacturing sustainability. However, in most of…
View article: A Real-Time Maintenance Policy for Multi-Stage Manufacturing Systems Considering Imperfect Maintenance Effects
A Real-Time Maintenance Policy for Multi-Stage Manufacturing Systems Considering Imperfect Maintenance Effects Open
Machines are subject to deterioration due to usage and aging. Once one machine fails, maintenance action has to be imposed in order to resume its operation. In practice, maintenance actions are not always able to restore the machine as new…
View article: Gantry Work Cell Scheduling through Reinforcement Learning with Knowledge-guided Reward Setting
Gantry Work Cell Scheduling through Reinforcement Learning with Knowledge-guided Reward Setting Open
In this paper, a manufacturing work cell utilizing gantries to move between machines for loading and unloading materials/parts is considered. The production performance of the gantry work cell highly depends on the gantry movements in real…
View article: Analysis and Evaluation of Control Action End-State Impact on Manufacturing System Future Production
Analysis and Evaluation of Control Action End-State Impact on Manufacturing System Future Production Open
Some control actions (e.g., scheduling overtime production during breaks to catch up throughput) in a serial production line will drive the system to different states at the end time of the actions (defined as the action end-state), and in…
View article: Special Issue: Sustainable Manufacturing
Special Issue: Sustainable Manufacturing Open
We dedicate this special issue of the ASME Journal of Manufacturing Science and Engineering to David A. Dornfeld. Dave was the key architect and inspirational force behind this special issue. He was a recognized leader in the manufacturing…
View article: Opportunity Window for Energy Saving and Maintenance in Stochastic Production Systems
Opportunity Window for Energy Saving and Maintenance in Stochastic Production Systems Open
Energy efficiency improvement and timely preventive maintenance (PM) are critical in manufacturing industry due to the rising energy cost, environmental concerns, and increasing requirements on system reliability. By strategically turning …
View article: The Changing Landscape of Energy Management in Manufacturing
The Changing Landscape of Energy Management in Manufacturing Open
The production and use of energy accounts for around 60% of global greenhouse gas (GHG) emissions, providing an intrinsic link between cause and effect. Considering that the manufacturing industry is responsible for roughly one-third of th…
View article: Transient Performance Evaluation of Assembly Systems with Bernoulli MachinesÕ
Transient Performance Evaluation of Assembly Systems with Bernoulli MachinesÕ Open
Assembly systems are widely used in large volume manufacturing processes, where the final product requires several components. However, investigations of assembly systems have been relatively limited. Moreover, among existing results on as…