Results 101 to 110 of about 16,981 (186)

The one‐dimensional cutting stock problem with sequence‐dependent setups

International Transactions in Operational Research, EarlyView.
Abstract The cutting stock problem (CSP) is a classic operations research problem with several applications in real‐world scenarios. It involves cutting large objects into smaller items to satisfy customer demands, minimizing the number of cut objects.
Eduardo M. Silva, Antônio A. Chaves, Mauricio G. C. Resende, Silvio A. de Araujo   +3 more
wiley   +1 more source

Two‐dimensional guillotine cutting problem for large objects with non‐rectangular shapes

International Transactions in Operational Research, EarlyView.
Abstract In this paper, we address the two‐dimensional single large object placement problem with guillotine cutting constraints, focusing on non‐rectangular shapes. We consider objects with circular or convex polygonal geometries and study a variant that includes defective regions from which no items can be extracted. Rectangular items are cut using a
Carise E. Schmidt, Arinei C. L. Silva, Leandro C. Coelho, Maryam Darvish   +3 more
wiley   +1 more source

Optimum Operation of a Heat Source System considering Bidirectional Heat Interchange among Multiple Buildings [PDF]

E3S Web of Conferences
This study aims to develop an operational planning system based on mixed-integer linear programming (MILP) to optimize the energy consumption of heating and cooling plants by considering bidirectional heat interchange among multiple buildings. The system
Kitagawa Haruka, Nakamura Takuji, Shigemori Ko, Ito Sei, Sumiyoshi Daisuke   +4 more
doaj   +1 more source

Artificial Intelligence in Psychiatry: Five Decades of Progress and Persistent Translational Challenges

Psychiatric Research and Clinical Practice, EarlyView.
Objective This review examined the historical development of artificial intelligence (AI) in psychiatry from 1972 to 2025 and identified persistent barriers to clinical translation. Method The review used a structured source‐identification approach across PubMed/MEDLINE, Web of Science, Google Scholar, ScienceDirect, citation tracking, and targeted ...
Esteban Zavaleta‐Monestel, Luis Guillermo Herrera‐Jiménez, Sofía Suárez‐Sánchez, Sebastián Arguedas‐Chacón, Jeaustin Mora‐Jiménez, Ricardo Millán‐González   +5 more
wiley   +1 more source

Collaborative platooning and routing for mixed fleets of electric automated vehicles and conventional trucks

International Transactions in Operational Research, Volume 34, Issue 1, Page 460-500, January 2027.
Abstract The application of automated ground vehicles (AGVs) is well‐established in closed environments such as port terminals, while their operation in open areas remains challenging. In this work, we set out to overcome this limitation by introducing platooning as a transfer mode in heterogeneous vehicle networks.
Nadia Pourmohammad‐Zia, Rudy R. Negenborn, Frederik Schulte   +2 more
wiley   +1 more source

A unified MILP framework for integrated serial-parallel production batching and inter-factory delivery in multi-factory environments

Production Engineering Archives
This study addresses the integrated serial–parallel production batching and inter-factory delivery scheduling problem in multi-factory environments – an operational configuration that has been largely overlooked in existing research. The challenge arises
Rahmawati Sinta, Masruroh Nur Aini, Rifai Achmad Pratama   +2 more
doaj   +1 more source

Two-Stage Optimization-Learning Framework for Uncertainty-Aware Multi-Zonal Data Center Energy Management

Energies
This paper proposes a hybrid optimization framework that synergizes mixed-integer linear programming (MILP) and reinforcement learning (RL) to minimize operational costs and carbon emissions in multi-zonal data centers integrated with renewable ...
Abubakar Rafique, Xiaojun Yu, Muhammad Jawad, Qun Song, Zhaohui Yuan, Muhammad Tariq Sadiq, Kamran Daniel, Noman Shabbir   +7 more
doaj   +1 more source

A MILP for multi-machine injection moulding sequencing in the scope of C2NET Project

International Journal of Production Management and Engineering, 2018
The goal of C2NET European H2020 Funded Project is the creation of cloud-enabled tools for supporting the SMEs supply network optimization of manufacturing and logistic assets based on collaborative demand, production and delivery plans.
Beatriz Andrés, Raquel Sanchis, Raúl Poler, Manuel Díaz-Madroñero, Josefa Mula   +4 more
doaj   +1 more source

Straddle carrier routing optimization at container terminals utilizing telemetry‐based prediction

International Transactions in Operational Research, Volume 34, Issue 1, Page 429-459, January 2027.
Abstract Efficient vehicle routing and scheduling for horizontal transport means on container terminals can reduce lead times and travel distances, resulting in fuel savings and productivity gains. We apply machine learning to emulate operational processes, bridging the gap between theoretical optimization models and real‐world practices at container ...
Julian Neugebauer, Ahmet Cürebal, Leonard Heilig, Stefan Voß   +3 more
wiley   +1 more source

Multivalent ionizable lipid-polypeptides for tumor-confined mRNA transfection

Bioactive Materials
mRNA therapeutics is revolutionizing the treatment concepts toward many diseases including cancer. The potential of mRNA is, however, frequently limited by modest control over site of transfection.
Xiaofei Zhao, Yueyue Zhang, Xin Wang, Ziming Fu, Zhiyuan Zhong, Chao Deng   +5 more
doaj   +1 more source