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A hybrid multi-criteria decision-making approach for longitudinal data
The purpose of this paper is to propose an approach to meet the need for a robust, longitudinal, and an objective multi-criteria decision-making...
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Robust maximum flow network interdiction considering uncertainties in arc capacity and resource consumption
This article discusses a robust network interdiction problem considering uncertainties in arc capacities and resource consumption. The problem...
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Assortment optimization: a systematic literature review
Assortment optimization is a core topic of demand management that finds application in a broad set of different areas including retail, airline,...
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Optimization models for disaster response operations: a literature review
Disaster operations management (DOM) seeks to mitigate the harmful impact of natural disasters on individuals, society, infrastructure, economic...
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Non-smooth setting of stochastic decentralized convex optimization problem over time-varying Graphs
Distributed optimization has a rich history. It has demonstrated its effectiveness in many machine learning applications, etc. In this paper we study...
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A robust multi-project scheduling problem under a resource dedication-transfer policy
In multi-project management, effectively allocating limited resources to projects is crucial for ensuring the success of the project portfolio and...
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Multi-resource allocation and care sequence assignment in patient management: a stochastic programming approach
To mitigate outpatient care delivery inefficiencies induced by resource shortages and demand heterogeneity, this paper focuses on the problem of...
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Frontiers and trends of supply chain optimization in the age of industry 4.0: an operations research perspective
Industrial 4.0 (I4.0) is believed to revolutionize supply chain (SC) management and the articles in this domain have experienced remarkable...
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An alternative approach to address uncertainty in hub location
In this paper, optimization and simulation techniques are integrated to address single and multiple allocation hub network design problems under...
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Classification-design-optimization integrated picking robots: a review
Robot technology is considered one of the most promising technologies to achieve intelligent production, with picking robots being the most common...
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Pre-auction optimization for the selection of shared customers in the last-mile delivery
Companies are constantly looking for new strategies to improve their logistics performance and ensure their competitiveness in the global market....
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Machine learning for coverage optimization in wireless sensor networks: a comprehensive review
In the context of wireless sensor networks (WSNs), the utilization of artificial intelligence (AI)-based solutions and systems is on the ascent....
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Robust counterpart mathematical models for balancing, sequencing, and assignment of robotic U-shaped assembly lines with considering failures and setup times
In recent years, robots have been widely used in assembly systems called robotic assembly lines, where a set of tasks have to be assigned to...
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A two-stage partial fixing approach for solving the residency block scheduling problem
We consider constructing feasible annual block schedules for residents in a medical training program. We must satisfy coverage requirements to...
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Robust asymmetric non-negative matrix factorization for clustering nodes in directed networks
Directed networks appear in an expanding array of applications, for example, the world wide web, social networks, transaction networks, and citation...
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A fuzzy multi-objective optimization model for sustainable location planning using volumetric fuzzy sets
The volumetric fuzzy sets (VFSs) are used to manage the uncertainties in two-dimensional variables. This study applies VFSs to find the optimal...
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Bi-objective reliability based optimization: an application to investment analysis
Portfolio optimization problems are easy to address if single linear objective functions are considered, with the assumption of normality of asset...
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A Novel Approach to Solve Multi-objective Fuzzy Stochastic Bilevel Programming Using Genetic Algorithm
A bilevel programming is a two-level optimization problem, namely, the upper level (leaders) and the lower level (followers). The two level’s...
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Consensus Modeling with Asymmetric Cost Based on Data-Driven Robust Optimization
The robust optimization method has progressively become a research hot spot as a valuable means for dealing with parameter uncertainty in...
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Input attribute optimization for thermal deformation of machine-tool spindles using artificial intelligence
The heat generated due to internal and external rotating components, electrical parts, and varying ambient temperatures can cause thermal...
