Results 31 to 40 of about 1,404 (265)
Dynamic Scheduling of a Semiconductor Production Line Based on a Composite Rule Set
Applied Sciences, 2017 Various factors and constraints should be considered when developing a manufacturing production schedule, and such a schedule is often based on rules. This paper develops a composite dispatching rule based on heuristic rules that comprehensively consider
Yumin Ma +3 more
doaj +1 more source
A Spatiotemporal Thermo Guidance Based Real-Time Online Ride-Hailing Dispatch Framework
IEEE Access, 2020 Online ride-hailing platforms can gather travel requests and allocate service vehicles to balance transportation demands and supplies, which may result in an increase in the utilization rate of service resources and improve the transportation efficiency ...
Yuhan Guo +3 more
doaj +1 more source
Real-Time Selection System of Dispatching Rules for the Job Shop Scheduling Problem
Machines, 2023 Personalized market demands make the job shop scheduling problem (JSSP) increasingly complex, and the need for scheduling methods that can solve scheduling strategies quickly and easily has become very urgent.
Anran Zhao +5 more
doaj +1 more source
Cogent Engineering, 2015 Process planning and scheduling are two important components of a manufacturing setup. It is important to integrate them to achieve better global optimality and improved system performance.
Muhammad Farhan Ausaf +3 more
doaj +1 more source
Applied Sciences, 2017 The semiconductor industry is facing the transition from 300 mm to 450 mm wafer fabrication. Due to the increased size and weight, 450 mm wafers will pose unprecedented challenges on semiconductor wafer fabrication.
Chia-Nan Wang +2 more
doaj +1 more source
Dynamic Jobshop Scheduling Algorithm Based on Deep Q Network
IEEE Access, 2021 Jobshop scheduling is a classic instance in the field of production scheduling. Solving and optimizing the scheduling problem of the jobshop can greatly reduce the production cost of the workshop and improve the processing efficiency, thereby improving ...
Yejian Zhao +4 more
doaj +1 more source
De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning
Advanced Science, EarlyView.Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li +23 more
wiley +1 more source
IEEE Access, 2019 Flexible job shop scheduling problem with combined processing constraint is a common scheduling problem in assembly manufacturing industry. However, traditional methods for classic flexible job shop scheduling problem (FJSP) cannot be directly applied ...
Haihua Zhu +3 more
doaj +1 more source
The Faraday Scalpel: Electrochemical Nerve Lesioning Mechanisms Studied in Invertebrate Models
Advanced Science, EarlyView.Direct‐current produces nerve lesioning through discrete electrochemical reactions. Using hypoxia‐sensitive locust nerves and hypoxia‐tolerant leech nerves, we map three injury pathways: cathodic oxygen reduction, cathodic alkalization, and anodic chloride oxidation. These findings establish electrochemical lesioning—the “Faraday Scalpel”—as a precise,
Petra Ondráčková +5 more
wiley +1 more source
Advanced Science, EarlyView.This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li +7 more
wiley +1 more source