Bi-objective optimization of multi-server intermodal hub-locationallocation problem in congested systems modeling and solution .pdf
Creators: name: Seifbarghy, Mehdi
name: Kahag, Mahdi Rashidi
name: Niaki, Seyed Taghi Akhavan
name: Zabihi, Sina
Publisher: name: figshare
Year: 2020
Subjects: subject: 90603 Industrial Electronics
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: 90505 Infrastructure Engineering and Asset Management
subject: FOS: Civil engineering
subject: FOS: Civil engineering
subject: 91599 Interdisciplinary Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: FOS: Other engineering and technologies
subject: 91003 Machine Tools
subject: 91004 Machining
subject: 91099 Manufacturing Engineering not elsewhere classified
subject: 91006 Manufacturing Processes and Technologies (excl. Textiles)
subject: 91005 Manufacturing Management
subject: 91007 Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)
subject: 91008 Manufacturing Safety and Quality
subject: 91101 Marine Engineering
subject: FOS: Environmental engineering
subject: FOS: Environmental engineering
subject: 91199 Maritime Engineering not elsewhere classified
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering
subject: FOS: Materials engineering
subject: Mechanical Engineering
subject: FOS: Mechanical engineering
subject: FOS: Mechanical engineering
subject: 91399 Mechanical Engineering not elsewhere classified
subject: 90304 Medical Devices
subject: FOS: Medical engineering
subject: FOS: Medical engineering
subject: 90404 Membrane and Separation Technologies
subject: FOS: Chemical engineering
subject: FOS: Chemical engineering
subject: 91207 Metals and Alloy Materials
subject: 91306 Microelectromechanical Systems (MEMS)
subject: 90604 Microelectronics and Integrated Circuits
subject: 91009 Microtechnology
subject: 91404 Mineral Processing/Beneficiation
subject: 91405 Mining Engineering
subject: 91102 Naval Architecture
subject: 90904 Navigation and Position Fixing
subject: 90405 Non-automotive Combustion and Fuel Engineering (incl. Alternative/Renewable Fuels)
subject: Nuclear Engineering
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subject: 91301 Acoustics and Noise Control (excl. Architectural Acoustics)
subject: Additive Manufacturing
subject: 90101 Aerodynamics (excl. Hypersonic Aerodynamics)
subject: Aerospace Engineering
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subject: 90102 Aerospace Materials
subject: 90103 Aerospace Structures
subject: 99901 Agricultural Engineering
subject: 90104 Aircraft Performance and Flight Control Systems

description: A new multi-objective intermodal hub-location-allocation problem is modeled in this paper in which both the origin and the destination hub facilities are modeled as an M/M/m queuing system. The problem is being formulated as a constrained bi-objective optimization model to minimize the total costs as well as minimizing the total system time. A small-size problem is solved on the GAMS software to validate the accuracy of the proposed model. As the problem becomes strictly NP-hard, an MOIWO algorithm with an efficient chromosome structure and a fuzzy dominance method is proposed to solve large-scale problems. Since there is no benchmark available in the literature, an NSGA-II and an NRGA are developed to validate the results obtained. The parameters of all algorithms are tuned using the Taguchi method and their performances are statistically compared in terms of some multi-objective metrics. Finally, the entropy-TOPSIS method is applied to show that MOIWO is the best in terms of simultaneous use of all the metrics.