Results 71 to 80 of about 1,529 (263)

A Hierarchical Reinforcement Learning Approach with Multi-Dimensional State Feature Extraction for Energy-Aware Flexible Job Shop Scheduling

Mathematics
Market competition is increasingly intense and sustainable development has attracted widespread attention. The flexible job shop scheduling problem requires the collaborative optimization of production efficiency and machine energy consumption.
Dongping Qiao, Jihao Hu, Shengquan Wu, Yuanhao Feng, Caidong Wang, Wenchao Yang   +5 more
doaj   +1 more source

Basic study on production scheduling method for highly-distributed manufacturing systems

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2014
Recent development of computer network technologies is realizing highly-distributed manufacturing systems from the hardware point of view, where each facility is computerized and manages itself autonomously by communicating with other facilities.
Eiji MORINAGA, Akira TAKAGI, Yuki SAKAGUCHI, Hidefumi WAKAMATSU, Eiji ARAI   +4 more
doaj   +1 more source

On‐Time Meal Delivery Assisted by Drone Resupply

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Ensuring timely delivery is crucial with the increasing competition in online meal delivery services. This requires the industry to adopt new technologies and the corresponding operational models, including the use of drones. Concerning the desired features of meal delivery, such as safety and reliability, we propose an operational model that ...
Wenqian Liu, Lindong Liu, Xiangtong Qi
wiley   +1 more source

Leveraging Public Transit for Robotic Deliveries: A Column Generation Approach

Naval Research Logistics (NRL), EarlyView.
ABSTRACT Autonomous mobile robots (AMRs) are small, electric, wheeled vehicles that operate at pedestrian speeds. In the last‐mile delivery service considered in this study, a fleet of AMRs is deployed across multiple recharging depots within a service area, from which they depart to perform point‐to‐point deliveries. We consider an operational setting
Yishay Shapira, Mor Kaspi
wiley   +1 more source

The importance of wild meat and freshwater fish for children's nutritional intake in the Congo Basin

People and Nature, EarlyView.
Abstract Wild meat and freshwater fish are widely consumed in the Congo Basin, but in some areas, they are at risk of disappearing due to unsustainable hunting and fishing and changes in their habitat. Wild meat is also at risk of being eliminated from local diets due to potential policy changes such as wild meat bans.
Amy Ickowitz, Muhammad Faisal Pratama, Mahdiyatur Rahmah, Caleb Yengo Tata, Erasmus Nchuaji Tang, Judith Laure Ngondi, Victor Buhendwa Mirindi   +6 more
wiley   +1 more source

Development of Dispatching Rule based Heuristic Algorithms for Real-Time Dynamic Scheduling of Non-identical Parallel Burn-in Ovens with Machine Eligibility Restriction [PDF]

International Journal of Mathematical, Engineering and Management Sciences
This study addresses a new problem, close to real life on scheduling of non-identical parallel Burn-in ovens (BO) in Semiconductor Manufacturing (SM) industry to minimize Total Weighted Tardiness (TWT) of the jobs.
Dhaval Pujara, M. Mathirajan
doaj   +1 more source

Physics‐Informed Neural Networks for Battery Degradation Prediction Under Random Walk Operations

Quality and Reliability Engineering International, EarlyView.
ABSTRACT This study addresses the challenge of predicting the state of health (SoH) and capacity degradation in Battery Energy Storage Systems (BESS) under highly variable conditions induced by frequent control adjustments. In environments where random walk behavior prevails due to stochastic control commands, conventional estimation methods often ...
Alaa Selim, Huadong Mo, Hemanshu Pota, Daoyi Dong   +3 more
wiley   +1 more source

Heuristic Ensemble Construction Methods of Automatically Designed Dispatching Rules for the Unrelated Machines Environment

Axioms
Dynamic scheduling represents an important class of combinatorial optimisation problems that are usually solved with simple heuristics, the so-called dispatching rules (DRs).
Marko Đurasević, Domagoj Jakobović
doaj   +1 more source

Multi‐objective optimization of reservoir refill operate considering energy storage and hydrological conditions

River, EarlyView.
Abstract Optimizing reservoir refill operation rules is crucial for enhancing reservoir sustainability and resilience. This study proposes a refill operation model designed to derive optimal refill guide curves by considering flood risk prevention, maximum storage levels, and the combined benefits of hydropower generation and energy storage.
Lihua Chen, Kaipeng Yang, Yunyao Chen, Xiaoli Zhang, Xuefang Li   +4 more
wiley   +1 more source

Spatial heterogeneity in basin hydrology and hydropower potential: Implications for climate resilience and economic development in Nepal

River, EarlyView.
Abstract Nepal's vast hydropower potential is central to its long‐term economic development; however, it exhibits pronounced spatial heterogeneity and is increasingly vulnerable to climate‐induced risks. This study employs an integrated, Basin‐scale analytical framework to evaluate the hydrological productivity and economic viability of major river ...
Sanju Adhikary, Mahendra Aryal
wiley   +1 more source