Results 31 to 40 of about 609,732 (141)

Sustainable Production Planning: Insights Into Factors, Models, and Solution Methods

Sustainable Development, EarlyView.
ABSTRACT Effective resource management remains a major challenge for organizations seeking to balance economic efficiency with environmental and social responsibility. In this context, production planning becomes a strategic mechanism for integrating sustainability into industrial operations.
Daysi Ortiz, Pedro Gómez‐Gasquet, Francisco Fraile   +2 more
wiley   +1 more source

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

An Approach for Train Stop Planning With Variable Train Length and Stop Time of High-Speed Rail Under Stochastic Demand

IEEE Access, 2019
This paper studied the train stop planning problem with variable train length and stop time under stochastic demand (TSPPWVTLSTSD). As we know, stop time and train length were often considered in a fixed manner in train stop planning for high-speed rail (
Guowei Jin, Shiwei He, Jiabin Li, Xiaole Guo, Yubin Li   +4 more
doaj   +1 more source

An Extended Formulation With Valid Inequalities for the Capacitated Steiner Arborescence Problem

Networks, Volume 88, Issue 2, Page 250-274, September 2026.
ABSTRACT Given a directed graph, the Capacitated Steiner Arborescence Problem (CSAP) aims to determine the least‐cost connection from the root node to terminal nodes requiring a demand through Steiner nodes coming with a capacity, such that there is a unique path from the root to each terminal. This paper presents a new extended formulation of the CSAP,
Francesco Contu, Massimo Di Francesco, Enrico Gorgone, Ishwar Murthy   +3 more
wiley   +1 more source

A QUBO Formulation for Multi‐Material Topology Optimization With Quantum Annealing

International Journal for Numerical Methods in Engineering, Volume 127, Issue 16, 30 August 2026.
ABSTRACT Multi‐material topology optimization (MMTO) seeks the optimal distribution of multiple materials within a given design domain to maximize structural performance. However, due to the high complexity of the solution space, MMTO problems are often trapped in local optima. To address this issue, a quantum annealing‐based MMTO framework is proposed.
Kenshin Nakano, Koji Nishiguchi, Junji Kato   +2 more
wiley   +1 more source

Integrated Co‐Optimisation of Energy–Water–Hydrogen Systems for Carbon‐Aware Dispatch Under Uncertainty

IET Energy Systems Integration, Volume 8, Issue 1, January/December 2026.
ABSTRACT Modern energy–water infrastructures face practical dispatch challenges, such as electricity demand, water production and treatment, renewable intermittency, hydrogen conversion and carbon‐emission limits, which are strongly coupled, yet they are commonly scheduled through separate models.
M. Hassan, M. B. Rasheed, I. Khan, K. A. A. Gamage   +3 more
wiley   +1 more source

A branch-and-price solution strategy for integrated process planning and scheduling problems

Operations Research Perspectives
This research investigates the integrated process planning and scheduling (IPPS) problem that considers process planning and production scheduling simultaneously with the aim of minimizing makespan.
Dung-Ying Lin, Che-Hao Chen
doaj   +1 more source

Optimizing Building Energy Systems Using Generalized Disjunctive Programming: Improving Model Precision and Decision‐Making Efficiency

International Journal of Energy Research, Volume 2026, Issue 1, 2026.
This paper examines the optimization of building energy systems (BESs) through the lens of generalized disjunctive programming (GDP), a methodology that streamlines the modeling of intricate logical structures and discrete decisions. The study concentrates on three pivotal aspects of BES optimization: the imposition of minimum part‐load constraints ...
Yi Nie, Thomas Schreiber, Dirk Müller, Rajashik Paul   +3 more
wiley   +1 more source

Distributed optimization of linear programs using Dantzig-Wolfe decomposition [PDF]

, 1988
his thesis studies the optimization of block-angular linear programs using distributed computers. Our approach is based on the Dantzig-Wolfe decomposition algorithm.
Lee, Tak Chen
core  

A Distributed Operational Method for Convex Hull Pricing Based on the Alternating Direction Method of Multipliers with Dantzig–Wolfe and Benders Decomposition

Applied Sciences
Due to the non-convex characteristic of the power system, it may be difficult for power generators to recover costs by following the system operators.
Linfeng Yang, Xinhan Lin, Shifei Chen, Zhiding Wu, Haiyan Zheng   +4 more
doaj   +1 more source