Proceedings of Industrial Engineering and Management
International Conference on Smart Manufacturing, Industrial and Logistics Engineering and Asian Conference of Management Science and Applications
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Article
Bayesian inference for multi-label classification for root cause analysis and probe card maintenance decision support and an empirical study
Probe cards have been employed as intermediary tools between the wafers and automatic test equipment to prevent defect dies from entering the packaging stage to reduce the consumer risk and extra losses. To en...
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Book and Conference Proceedings
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Article
Integrated circuit probe card troubleshooting based on rough set theory for advanced quality control and an empirical study
Wafer probe test plays a crucial role to distinguish the good dies from the remaining defected dies on the wafers via the probe card as the testing signal interface between the tester and the integrated circui...
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Article
Pitfalls and protocols of data science in manufacturing practice
Driven by ongoing migration for Industry 4.0, the increasing adoption of artificial intelligence, big data analytics, cloud computing, Internet of Things, and robotics have empowered smart manufacturing and di...
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Article
Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study
Probe card that serves as the carrier of die and the transmitter of information is an indispensable test interface for integrated circuit testing. The probe card extracts the electrical signal of chip and send...
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Article
Taiwan Drought was a Microcosm of Climate Change Adaptation Challenges in Complex Island Economies
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Article
Tool allocation to smooth work-in-process for cycle time reduction and an empirical study
As semiconductor devices are increasingly employed in consumer electronics and industrial applications, cycle time reduction is critical for semiconductor companies to maintain competitive advantages. Semicond...
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Chapter
Management Suggestions for Process Control of Semiconductor Manufacturing: An Operations Research and Data Science Perspective
With advances in information and telecommunication technologies and data-enabled decision-making, smart manufacturing can be an essential component of sustainable development. In the era of the smart world, se...
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Article
A bi-objective genetic algorithm for intelligent rehabilitation scheduling considering therapy precedence constraints
The rehabilitation inpatients in hospitals often complain about the service quality due to the long waiting time between the therapeutic processes. To enhance service quality, this study aims to propose an int...
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Chapter and Conference Paper
Constructing a Metrology Sampling Framework for In-line Inspection in Semiconductor Fabrication
Due to the shrinking IC device geometries and increasing interconnect layers, process complexity has been rapidly increasing and leads to higher manufacturing costs and longer cycle time. Thus, in-line metrolo...
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Chapter and Conference Paper
A Hybrid Forecasting Framework with Neural Network and Time-Series Method for Intermittent Demand in Semiconductor Supply Chain
As the primary prerequisite of capacity planning, inventory control and order management, demand forecast is a critical issue in semiconductor supply chain. A great quantity of stock kee** units (SKUs) with ...
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Article
Industry Applications of Computational Intelligence
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Article
Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints
This paper focuses on minimizing the makespan for a reentrant hybrid flow shop scheduling problem with time window constraints (RHFSTW), which is often found in manufacturing systems producing the slider part ...
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Article
Multistage production distribution under uncertain demands with integrated discrete particle swarm optimization and extended priority-based hybrid genetic algorithm
Production distribution systems are increasingly crucial because of shortened product life cycles, increasing competition, and uncertainty introduced by globalization. Production distribution involves a multis...
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Chapter
Flexible Multistage Forward/Reverse Logistics Network Under Uncertain Demands with Hybrid Genetic Algorithm
Logistics network is increasingly crucial because of shortened product life cycles, increasing competition, and uncertainty introduced by globalization. The logistics network distribution involves a multistage...
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Article
Manufacturing intelligence and innovation for digital manufacturing and operational excellence
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Article
Determining the operator-machine assignment for machine interference problem and an empirical study in semiconductor test facility
Semiconductor is a capital-intensive industry in which equipment costs account for more than seventy percentage of the capital investment in semiconductor test facilities. In an industrial investigation, the m...
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Article
An empirical study of design-of-experiment data mining for yield-loss diagnosis for semiconductor manufacturing
To maintain competitive advantages, semiconductor industry has strived for continuous technology migrations and quick response to yield excursion. As wafer fabrication has been increasingly complicated in nano...
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Article
The cooperative estimation of distribution algorithm: a novel approach for semiconductor final test scheduling problems
A large number of studies have been conducted in the area of semiconductor final test scheduling (SFTS) problems. As a specific example of the simultaneous multiple resources scheduling problem, intelligent ma...
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Article
Hierarchical indices to detect equipment condition changes with high dimensional data for semiconductor manufacturing
During semiconductor manufacturing process, massive and various types of interrelated equipment data are automatically collected for fault detection and classification. Indeed, unusual wafer measurements may r...
