340 results
Showing 1–20 · 0.76 seconds · RSS
Operations Research Perspectives
Scopus
ISSN 2214-7160 · Elsevier · 340 articles in the index
-
Journal Article
Dynamic flexible job shop co-scheduling optimization based on graph neural network and deep reinforcement learning
With the continuous advancement of manufacturing, job shop scheduling faces complex dynamic disturbances that pose significant challenges to production. This paper investigates the dynamic flexible job shop scheduling problem with job priority and transportation time constraints (DFJSP-PT). The…
-
Journal Article
A hybrid augmented epsilon-constraint approach for bi-objective flexible job shop scheduling considering age, workload, and processing speed in failure modeling
Machine breakdowns directly affect scheduling performance and production costs in manufacturing systems. Instead of focusing on reactive measures after failures, managing the factors that cause failures beforehand can help reduce them. To address these issues, this paper proposes a flexible job…
-
Journal Article
Local search methods for the cumulative flow shop scheduling problem
Scheduling problems are typically studied under the assumption that each resource can process only one job at a time. However, in many real-world settings, resources are capable of processing multiple jobs simultaneously, leading to cumulative scheduling problems, where each resource can process…
-
Journal Article
Learning-based superposition for the analysis of feed-forward queueing networks with non-Markovian arrivals
The superposition of arrival processes is a fundamental yet analytically intractable operation in queueing networks when inputs are general non-renewal streams. Classical methods either reduce merged flows to renewal surrogates, rely on computationally prohibitive Markovian representations, or…
-
Journal Article
A three-stage intelligent decision framework for post-disaster search and rescue open-loop routing
Search and Rescue (SAR) path planning is critical in post-disaster scenarios with road damage and noisy demand information. This paper proposes a dynamic post-disaster SAR path planning model that comprehensively considers road damage severity, casualty uncertainty, and life-saving priority. A…
-
Journal Article
A multi-stage stochastic programming model for relief distribution networks considering road collapse
To address the challenges of uncertain road capacity caused by collapses, reliance on single-mode transportation, inefficient relief allocation, and low algorithmic efficiency in existing earthquake relief scheduling, this study develops a multi-stage stochastic programming model for emergency…
-
Journal Article
Branch-and-bound algorithm to minimize the total completion time on two dedicated processors
In this paper, we propose an exact method for solving the problem of scheduling multiprocessor tasks on two dedicated processors with release dates. In this problem, we have three subsets of tasks, where these tasks need one or two dedicated processors to be performed. The aim is to minimize the…
-
Journal Article
Simple Group Choice: A minimal-information multi-criteria group decision aiding approach
In many real group decision-making problems, decisions must be made with limited data and busy Decision Makers (DMs). In such settings, asking for detailed scores or trade-off weights can be unrealistic and can obscure, rather than clarify, how a recommendation emerges. We propose Simple Group…
-
Journal Article
Multi-stage stochastic engine usage optimization for fighter jet fleet using nested decomposition algorithm
Fighter jet squadrons face a critical challenge: meeting rigorous monthly flight-hour targets while managing strict engine service life limitations. This complex task necessitates the optimal allocation of engine resources and meticulous planning of flight hours for each aircraft, thereby balancing…
-
Journal Article
Assessing the impact of environmental factors on emergency healthcare quality: A benchmarking approach
Evaluating the quality of emergency departments in hospitals is crucial for optimizing healthcare and allocating resources effectively. Existing metrics predominantly focus on internal variables (e.g., bed occupancy or time to treatment), disregarding possible external environmental factors beyond…
-
Journal Article
Constraint programming models for serial batch scheduling with minimum batch size
In serial batch (s-batch) scheduling, jobs are grouped in batches and processed sequentially within their batch. This paper considers multiple parallel machines, nonidentical job weights and release times, and sequence-dependent setup times between batches of different families. Although s-batch…
-
Journal Article
A hybrid optimization and data-driven approach to understand the role of the risk-aversion profile parameter in portfolio optimization problems with shorting constraints
This study contributes to the optimization literature with an approach that would help investors understand how the risk-aversion profile hyperparameter affects excess returns, risk, and Sharpe ratio curves in portfolio optimization problems with short selling constraints. These curves were…
-
Journal Article
Customer order scheduling in a permutation flow shop environment
Various recent scheduling literature has studied the so called customer order scheduling problem. In this class of scheduling problems, there are multiple customer orders, and each of them consists of several jobs. The order finishes and is ready to be shipped when the last job of the order…
-
Journal Article
Inventory prepositioning of relief material under the Joint Government-Enterprise Storage mode
To ensure the timely supply of relief materials at a low cost, many countries have adopted the Joint Government and Enterprises Storage (JGES) mode to prepositioning relief materials, where some enterprises replace the government in stockpiling emergency supplies for disasters. A critical problem…
-
Journal Article
Reinforcement learning for solving the pricing problem in column generation for routing
In this paper, we address the problem of Column Generation (CG) for routing problems using Reinforcement Learning (RL). Specifically, we use a RL model based on the attention-mechanism architecture to find the columns with most negative reduced cost in the Pricing Problem (PP). Unlike previous…
-
Journal Article
A two-period model of counterterrorism with terrorist sponsoring and the role of hatred
A two-period counterterrorism model is developed. One special case without terrorist sponsoring enables the government to degrade the terrorist’s resources substantially, especially with low unit counterterrorism cost or high asset valuations. If the terrorist in a second special case is sponsored…
-
Journal Article
Unified tail assignment and maintenance task scheduling: A decision support framework for improved efficiency and stability
Flight and maintenance scheduling pose conflicting objectives: while maintenance is vital for ensuring aircraft airworthiness, it comes at the cost of taking aircraft out of operation. In current operations, airlines manually handle tail assignment and maintenance task scheduling separately…
-
Journal Article
A Probabilistic and adaptive strategy for the newsvendor problem with periodic demand
The newsvendor problem with periodic demand (PFNV) is a common and significant challenge in practice, where traditional methods such as optimization, statistical analysis, and artificial intelligence often struggle to balance effectiveness and operability. We propose the Probability-based Adaptive…
-
Journal Article
Cloud seeding optimization under uncertainty: A Markov chain approach in a two-stage fuzzy-stochastic framework
The occurrence of sequential droughts and various forms of water shortages globally underscores the urgent need for sustainable water management solutions. In this context, cloud seeding has gained attention for its potential to enhance precipitation, yet its effectiveness is often uncertain due to…
-
Journal Article
Cross-border multi-level warehouse network optimization: Modeling and application based on mixed-integer linear programming
With the rapid development of global trade and cross-border e-commerce, optimizing cross-border multi-level warehouse networks has become a critical challenge to enhance supply chain efficiency and reduce operational costs. Traditional logistics planning methods struggle to address complex…