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Two-stage multi-objective location-routing-inventory model for humanitarian logistics network design under uncertainty

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INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION 2018年 27卷 290-306页

作者： Vahdani, Behnam Veysmoradi, D. Noori, F. Mansour, F. Islamic Azad Univ Dept Ind Engn Qazvin Branch Fac Ind & Mech Engn Qazvin Iran

The accidental and unpredictable nature of disasters such as earthquake brings about some plans to deal with critical problems in order to reduce the dangers at the time of their occurrence. Effective distribution of relief goods and supplies plays an important role in the rescue operation after an earthquake. Therefore, a two-phase, multi-objective mixed integer, multi-period and multi-commodity mathematical modeling in the three-level relief chain was offered, in which, locating of the distribution centers and warehouses with various levels of capacity, related decisions to the stored goods in the warehouses and established distribution centers were considered in the first phase, and considering the limited hard time windows, in the second phase, operational programming was performed for vehicle routing and distribution of goods to the affected areas, so minimizing the total cost and travel time also increased the reliability of the route. In addition to the features considered in this model, in special cases, it is possible that each critical area receives service more than once;to consider split delivery assumption in the problem, a different model will be presented for this purpose. Since some parameters are uncertain during the crisis, in order to let the model approach the reality, using a robust optimization approach, the model was developed in an uncertain condition. Two meta-heuristic algorithms of NSGAII and MOPSO were used to solve the given problem, in which the accuracy of the mathematical model and the proposed algorithms efficiency were assessed through numerical examples. the results of algorithms were presented for 35 various problems.

关键词： Relief distribution Locating-routing Inventory Time windows multi-objective programming Meta-heuristic algorithms Robust optimization

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Two-stage stochastic formulation for relief operations with multiple agencies in simultaneous disasters

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OR SPECTRUM 2023年第2期45卷 477-523页

作者： Rodriguez-Espindola, Oscar Aston Univ Aston Business Sch Birmingham W Midlands England

The increasing damage caused by disasters is a major challenge for disaster management authorities, especially in instances where simultaneous disasters affect different geographical areas. The uncertainty and chaotic conditions caused by these situations combined with the inherent complexity of collaboration between multiple stakeholders complicates delivering support for disaster victims. Decisions related to facility location, procurement, stock prepositioning and relief distribution are essential to ensure the provision of relief for these victims. There is a need to provide analytical models that can support integrated decision-making in settings with uncertainty caused by simultaneous disasters. However, there are no formulations tackling these decisions combining multiple suppliers, multiple agencies, and simultaneous disasters. This article introduces a novel bi-objective two-stage stochastic formulation for disaster preparedness and immediate response considering the interaction of multiple stakeholders in uncertain environments caused by the occurrence of simultaneous disasters. At the first stage, decisions related to the selection of suppliers, critical facilities, agencies involved, and pre-disaster procurement are defined. Resource allocation, relief distribution and procurement of extra resources after the events are decided at the second stage. The model was tested on data from the situation caused by simultaneous hurricanes and storms in Mexico during September of 2013. The case is contrasted with instances planning for disasters independently. The results show how planning for multiple disasters can help understand the real boundaries of the disaster response system, the benefits of integrated decision-making, the impact of deploying only the agencies required, and the criticality of considering human resources in disaster planning.

关键词： Humanitarian logistics multi-objective programming Procurement Simultaneous disasters Disaster preparedness

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Reliability-Centered Maintenance Task Planning for Overhead Electric Power Distribution Networks

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JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS 2020年第5期31卷 1278-1287页

作者： Misari, Antonio R. Leite, Jonatas B. Piasson, Diego Mantovani, Jose Roberto Sanches Sao Paulo State Univ UNESP Elect Engn Dept Brasil Ave 56 BR-15385000 Ilha Solteira SP Brazil State Univ Mato Grosso UNEMAT BR-78390000 Barra Do Bugres MT Brazil

In this paper, it is presented an approach to match technically and economically the reliability of electricity distribution networks through an optimization methodology consisting of the mathematical model and metaheuristic solution technique to obtain an optimized plan for efficient management of maintenance tasks. The problem of maintenance tasks is formulated as a mixed dynamic nonlinear multi-objective optimization model, in which costs to perform maintenance tasks on equipment and/or components that make up the electric distribution network are minimized, while they have their reliability maximized. The constraints of this model are the individual and group electricity supply interruption duration and frequency indices, and availability of financial and human resources. The solution of this problem is obtained through a specialized non-dominated sorting genetic algorithm multi-objective metaheuristic, which provides a set of non-dominated solutions very close to the optimal Pareto frontier. Each solution at this frontier represents a maintenance plan able to assist the making decision of the operators in distribution companies for managing the maintenance crews.

关键词： NSGA-II Metaheuristic multi-objective programming Reliability Maintenance tasks Distribution systems

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Dynamic risk management in petroleum project investment based on a variable precision rough set model

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TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 2010年第6期77卷 891-901页

作者： Xie, Gang Yue, Wuyi Wang, Shouyang Lai, Kin Keung Chinese Acad Sci Acad Math & Syst Sci Beijing 100190 Peoples R China Konan Univ Dept Intelligence & Informat Kobe Hyogo 6588501 Japan City Univ Hong Kong Dept Management Sci Hong Kong Hong Kong Peoples R China

In this paper, an adaptive algorithm is designed for dynamic risk management in petroleum project investment based on a variable precision rough set (VPRS) model. In risk management, at each stage of decision-making, experts are invited to identify risk indices and support the decision-maker in evaluating the risk exposure (RE) of individual projects. The VPRS model is used to mine risk rules and determine the significance of risk indices from RE decision tables. Considering that there are multiple risks involved in any petroleum project investment, we use multi-objective programming to obtain the optimal selection of projects with minimum RE, where the significance of risk indices is assigned to each of the corresponding multi-objective functions as a weight. Moreover, we develop a risk ranking model to measure the degree of risk for individual projects in a portfolio. Finally, a numerical example based on a Chinese petroleum company's investments in overseas projects is presented to illustrate the proposed approach, and then conclusions are drawn. (C) 2010 Elsevier Inc. All rights reserved.

关键词： Dynamic risk management Petroleum Variable precision rough set multi-objective programming

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Optimizing Circular Economy Planning and Risk Analysis Using System Dynamics

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HUMAN AND ECOLOGICAL RISK ASSESSMENT 2009年第2期15卷 316-331页

作者： Xu, Jiuping Li, Xiaofei Wu, Desheng Dash Reykjavik Univ Sch Sci & Engn IS-103 Reykjavik Iceland Sichuan Univ Sch Business & Adm Uncertainty Decis Making Lab Chengdu 610064 Peoples R China Univ Toronto RiskLab Toronto ON Canada

This article develops a systems dynamics and multi-objective programming model (SDMOP) for planning a regional circular economy. Various risk analyses are conducted using the technique of sensitivity analysis. This SDMOP model includes two modules: the MOP module used to derive optimized parameters as inputs to the systems dynamics model, and the systems dynamics module used to plan the regional circular economy. We demonstrate the application of this SDMOP model to a problem of planning the circular economy of a county in the Sichuan Province of China.

关键词： circular economy system dynamics multi-objective programming risk analysis sensitivity analysis

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Optimisation of the regional energy supply network: a multi-objective analysis in the province of Florence (Italy)

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INTERNATIONAL JOURNAL OF SUSTAINABLE ENERGY 2014年第6期33卷 1076-1089页

作者： Bernetti, I. Sacchelli, S. Sottini, V. Alampi Marinelli, N. Marone, E. Menghini, S. Univ Florence GESAAF Dipartimento Gestione Sistemi Agrari Alime 18 Ple Cascine I-50144 Florence Italy

This work presents an integrated method for the optimisation of a regional wood-energy supply network. The model is based on a scalar system that comprises a demand point (district heating plants (DHP)) and bio-energy sources (supply basin (SB)), each of which is related to a biomass terminal. The objective of optimisation is based on both technical-logistics and environmental parameters. An SB is defined by the anisotropic weighted Voronoi tessellation methodology. The parameters are then aggregated to a multiobjective analysis that includes the optimisation of variables and compromise programming approach. Results permit the identification of the best supply chain organisation and the determination of the agroforest energy districts where rural policy and intervention could be applied. The model was tested in the province of Florence (central Italy) to depict efficient scenarios for the fuelling of DHPs.

关键词： biomass logistic Voronoi tessellation multi-objective programming agro-forestry districts

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Optimizing a linear fractional function over the integer efficient set

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ANNALS OF OPERATIONS RESEARCH 2018年第1-2期267卷 135-151页

作者： Drici, Wassila Ouail, Fatma Zohra Moulai, Mustapha USTHB LaROMaD Lab Fac Math BP 32 Algiers 16111 Algeria USTHB Dept Operat Res Fac Math BP 32 Algiers 16111 Algeria

In this article, a new exact method is proposed to solve a problem, say , of maximizing a linear fractional function over the integer efficient set of multi-objective integer linear programming problem (MOILP). The method is developed through the branch and cut technique and the continuous linear fractional programming, to come up with an integer optimal solution for problem without having to explicitly list all efficient solutions of problem (MOILP). The branching process is strengthened by an efficient cut as well as an efficiency test so that a large number of non-efficient feasible solutions can be avoided. Illustrative example and an experimental study are reported to show the merit of this new approach.

关键词： multi-objective programming Integer programming Linear fractional programming Branch and cut

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Resilience Strategy Optimization for Large Aircraft Supply Chain Based on Probabilistic Language QFD

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INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT 2020年第4期13卷 23-46页

作者： Luo, Ya Zhu, Jian-jun Nanjing Univ Aeronaut & Astronaut Nanjing Peoples R China

This paper proposes an optimization model of supply chain resilience strategy for large passenger aircraft. A quality function deployment (QFD) framework is conducted to analyze the resilience of the large passenger aircraft supply chain, and the key parameters are characterized based on the probabilistic linguistic term. Then based on the output of the QFD framework an optimization model of the resilience strategy considering the stochastic disturbance faced by the supply chain is constructed. Taking the supply chain for large aircraft cockpit control display module as an example to illustrate the application steps and feasibility of the model, the results demonstrate that change of supply chain management responsibilities, implementing hierarchical management of suppliers, seeking coordinated implementation of inventory management mode, and improving the pre-risk identification system, play prominent roles in enhancing supply chain resilience, and the combination of different strategies can indeed enhance the supply chain resilience under the budget constraint.

关键词： multi-objective programming Probabilistic Linguistic Term Set (PLTS,) QFD Resilience Strategy Stochastic programming

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Minimum distance bandwidth allocation over space communications

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IEEE COMMUNICATIONS LETTERS 2007年第1期11卷 19-21页

作者： Bisio, Igor Marchese, Mario Univ Genoa Dept Commun Comp & Syst Sci Genoa Italy

The letter formalizes the bandwidth allocation process over space communication systems as a multi-objective programming (MOP) problem and proposes an allocation called "Minimum Distance" algorithm. The algorithm assigns the bandwidth so to approach the ideal situation where each station has the overall channel bandwidth available, as close as possible. The performance evaluation is carried out analytically by varying the fading level of the space channel.

关键词： space communications bandwidth allocation multi-objective programming performance evaluation

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Time-adaptive and history-adaptive multicriterion routing in stochastic, time-dependent networks

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OPERATIONS RESEARCH LETTERS 2009年第3期37卷 201-205页

作者： Pretolani, Daniele Nielsen, Lars Relund Andersen, Kim Allan Ehrgott, Matthias Univ Modena Dept Sci & Methods Engn I-42100 Reggio Emilia Italy Univ Aarhus Dept Genet & Biotechnol DK-8830 Tjele Denmark Univ Aarhus Aarhus Sch Business Dept Business Studies DK-8210 Aarhus V Denmark Univ Auckland Dept Engn Sci Auckland 1142 New Zealand

We compare two different models for multicriterion routing in stochastic time-dependent networks: the classic "time-adaptive" model and the more flexible "history-adaptive" one. We point out several properties of the sets of efficient solutions found under the two models. We also devise a method for finding supported history-adaptive solutions. (C) 2009 Elsevier B.V. All rights reserved.

关键词： multi-objective programming Shortest paths Stochastic time-dependent networks Time-adaptive strategies History-adaptive strategies

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