Results 51 to 60 of about 7,585,843 (289)
Application of lean scheduling and production control in non-repetitive manufacturing systems using intelligent agent decision support [PDF]
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Lean Manufacturing (LM) is widely accepted as a world-class manufacturing paradigm, its currency and superiority are manifested in numerous recent success ...
Papadopoulou, Theopisti C
core +7 more sources
Evaluation of Solvers’ Performance for Solving the Flexible Job-Shop Scheduling Problem
Scheduling is essential for the efficient planning of manufacturing enterprises and ultimately for its competitiveness. Cyber-physical production systems have been using heuristics to implement scheduling algorithms. Heuristics have the advantage of being fast to reach a solution, that is usually not the optimal one but close to optimal.
João Carlos Silva 0002 +6 more
openaire +2 more sources
Chronobiology of Cancer: How Aging Fuels Oncogenesis at the Molecular Level
This graphical abstract illustrates the key biological pathways linking aging with cancer development and progression. In the upper left, cumulative exposure to ultraviolet radiation, toxins, and reactive oxygen species (ROS) causes DNA damage and genomic instability, whereas age‐related decline in repair mechanisms, such as ATM/ATR, BER, and NER ...
Anu Singh, Aroonima Misra, Sufian Zaheer
wiley +1 more source
Over time, the traditional single-objective job shop scheduling method has grown increasingly incapable of meeting the requirements of contemporary business models; thus, a multiobjective scheduling solution is required.
Tung-Kuan Liu +2 more
doaj +1 more source
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio +8 more
wiley +1 more source
This paper addresses the energy-efficient scheduling and real-time control of flexible job shop that requires rescheduling affected operations and updating the scheduling. For energy-efficient scheduling shop floor efficiently, we propose a metaheuristic
Songling Tian +3 more
doaj +1 more source
CEA-FJSP: Carbon emission-aware flexible job-shop scheduling based on deep reinforcement learning
Currently, excessive carbon emission is causing visible damage to the ecosystem and will lead to long-term environmental degradation in the future. The manufacturing industry is one of the main contributors to the carbon emission problem.
Shiyong Wang +3 more
doaj +1 more source
Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane +10 more
wiley +1 more source
An application of immune genetic algorithm for flexible job-shop scheduling problem
The flexible job-shop scheduling problem (FJSP) is one of the most general and difficult of all traditional scheduling problem. The paper presents a novelty immune genetic algorithm (IGA) to solve the problem.
null Yunlong Zhu +5 more
core +1 more source
Partial flexible job shop scheduling considering preventive maintenance and priorities
In this paper, a new mathematical programming model is proposed for a partial flexible job shop scheduling problem with an integrated solution approach.
Ameneh Farahani +3 more
doaj +1 more source

