Results 91 to 100 of about 26,115 (210)

Scheduling optimization of optical lens polishing

International Transactions in Operational Research, EarlyView.
Abstract Optical systems have achieved notable progress in focusing and imaging technologies; however, manual grinding remains indispensable, resulting in elevated costs, extended timelines, and inefficiencies. These difficulties are compounded by operational constraints, uneven machine utilization, and risks of order delays and escalating expenses ...
Tzu‐Chin Lin, Bertrand M. T. Lin
wiley   +1 more source

Enhancing pharmaceutical cold supply chain: integrating medication synchronization and diverse delivery modes

International Transactions in Operational Research, Volume 33, Issue 3, Page 2082-2118, May 2026.
Abstract The significance of last‐mile logistics in the healthcare supply chain is growing steadily, especially in pharmacies where the growing prevalence of medication delivery to patients' homes is remarkable. This paper proposes a novel mathematical model for the last‐mile logistics of the pharmaceutical supply chain and optimizes a pharmacy's ...
Elise Potters, Behzad Mosalla Nezhad, Victor Johan Bernard, Erwin Hans, Amin Asadi   +4 more
wiley   +1 more source

Optimasi Perencanaan Operasi Pembangkit Listrik Berbasis Mixed Integer Linear Programming (MILP) Pada Sistem Isolated Selayar

INTECOMS: Journal of Information Technology and Computer Science
This study explores the integration of fossil and renewable energy generators on Selayar Island, focusing on optimizing Diesel Power Plants (PLTD) and Solar Power Plants (PLTS). Using Mixed-Integer Linear Programming (MILP) for generator scheduling, simulations reveal that a 15% rotational backup constraint positively impacts operational costs and ...
I Made Yulistya Negara, Rony Seto Wibowo, Agung Wicaksono   +2 more
openaire   +1 more source

System‐level analysis of industrial electrification

AIChE Journal, Volume 72, Issue 3, March 2026.
ABSTRACT Electrification is a promising method for industrial decarbonization, but understanding its potential is challenging due to the plethora of relevant technologies and industrial sectors it can be applied to. To this end, we develop an assessment framework to quantify the cost and environmental impacts of electrification, including the option to
Julia Granacher, Caleb H. Geissler, Christos T. Maravelias   +2 more
wiley   +1 more source

An Energy-Efficient Timetable Optimization Approach in a Bi-DirectionUrban Rail Transit Line: A Mixed-Integer Linear Programming Model

Energies, 2019
The quick growth of energy consumption in urban rail transit has drawn much attention due to the pressure of both operational cost and environmental responsibilities. In this paper, the timetable is optimized with respect to the system cost of urban rail
Huanhuan Lv, Yuzhao Zhang, Kang Huang, Xiaotong Yu, Jianjun Wu   +4 more
doaj   +1 more source

Energy‐aware flexible job shop scheduling problem with nonlinear routes and position‐based learning effect

International Transactions in Operational Research, Volume 33, Issue 2, Page 860-891, March 2026.
Abstract Sustainability has become one of the main objectives in all human activities and, in particular, in manufacturing environments. In this paper, we consider the flexible job shop scheduling problem with the objective of minimizing energy consumption.
Ernesto G. Birgin, José Angel Riveaux, Débora P. Ronconi   +2 more
wiley   +1 more source

Systematic Literature Review for Robust Mixed-Integer Linear Programming Models Using Benders Decomposition in Facility Location Problems

Cauchy: Jurnal Matematika Murni dan Aplikasi
The robust Mixed-Integer Linear Programming (MILP) model is an approach to address uncertainty in linear optimization involving integer and continuous variables, which can be solved using the Benders Decomposition method.
Fadiah Hasna Nadiatul Haq, Diah Chaerani, Anita Triska   +2 more
doaj   +1 more source

Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming

Leveraging machine learning (ML) to predict an initial solution for mixed-integer linear programming (MILP) has gained considerable popularity in recent years. These methods predict a solution and fix a subset of variables to reduce the problem dimension. Then, they solve the reduced problem to obtain the final solutions.
Liu, Haoyang, Wang, Jie, Geng, Zijie, Li, Xijun, Zong, Yuxuan, Zhu, Fangzhou, Hao, Jianye, Wu, Feng   +7 more
openaire   +2 more sources

Optimal Network Reconfiguration to Improve Network Reliability and Voltage Profile in Distribution Systems Using Chaotic Linear Decreasing Inertia Weight‐Based Particle Swarm Optimization

Engineering Reports, Volume 8, Issue 2, February 2026.
Graphical abstract illustrates the optimization process in MATLAB software for network reconfiguration to improve reliability and voltage profile using PSO‐CLDIW. ABSTRACT The growing energy demand has intensified reliability challenges in power distribution systems.
Samson Ademola Adegoke, Job Adedamola Adeleke, Adesola Sunday Adegoke, Abiodun Osuolale   +3 more
wiley   +1 more source

Optimize Unrelated Parallel Machines Scheduling Problems With Multiple Limited Additional Resources, Sequence-Dependent Setup Times and Release Date Constraints

IEEE Access, 2019
This paper considers the problem of scheduling a set of jobs on unrelated parallel machines subject to several constraints which are non-zero arbitrary release dates, limited additional resources, and non-anticipatory sequence-dependent setup times.
Ibrahim M. Al-harkan, Ammar A. Qamhan
doaj   +1 more source