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Malmquist–Luenberger Productivity Index for a Two-Stage Structure in the Presence of Undesirable Outputs and Uncertainty Advances in Operations Research Pub Date : 2024-2-6 Rita Shakouri, Maziar Salahi
Network Data Envelopment Analysis (NDEA) models assess the processes of the underlying system at a certain moment and disregard the dynamic effects in the production process. Hence, distorted efficiency evaluation is gained that might give misleading information to decision-making units (DMUs). Malmquist–Luenberger Productivity Index (MPI) assesses efficiency changes over time, which are measured as
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A Review of Birth-Death and Other Markovian Discrete-Time Queues Advances in Operations Research Pub Date : 2023-12-5 Muhammad El-Taha
In this review article, we consider discrete-time birth-death processes and their applications to discrete-time queues. To make the analysis simpler to follow, we focus on transform-free methods and consider instances of non-birth-death Markovian discrete-time systems. We present a number of results within one discrete-time framework that parallels the treatment of continuous time models. This approach
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Decision-Making Based on Predictive Process Monitoring of Patient Treatment Processes: A Case Study of Emergency Patients Advances in Operations Research Pub Date : 2023-9-28 Agaraoli Aravazhi, Berit I. Helgheim, Petter Aadahl
This paper investigates predictive process monitoring problems in emergency treatment by combining the fields of process management and artificial intelligence. The objective is to predict the next activity and its timestamp in the treatment of emergency patients who have undergone surgery at the gastroenterology or urology surgery units in a hospital in Norway. To achieve this goal, three models were
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Monitoring Big Data Streams Using Data Stream Management Systems: Industrial Needs, Challenges, and Improvements Advances in Operations Research Pub Date : 2023-6-27 Ahmad Alzghoul
Real-time monitoring systems are important for industry since they allow for avoiding unplanned system stops and keeping system availability high. The technical requirements for such systems include being both scalable and online, as the amount of generated data is increasing with time. Therefore, monitoring systems must integrate tools that can manage and analyze the data streams. The data stream
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PDCA from Theory to Effective Applications: A Case Study of Design for Reducing Human Error in Assembly Process Advances in Operations Research Pub Date : 2023-6-26 Vi Nguyen, Chuong K. B. Chau, Thanh Tran
This article describes an efficient and effective way to apply the PDCA (Plan-Do-Check-Act) method in the design process to meet quality and stakeholders’ expectations. Through the case study of developing a smart workstation to train workers in the assembly process with a target to reduce the defects and improve the management task, the paper explores the main barriers and success factors for the
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Application of FAHP Methodology to Rank Productivity-Affecting Factors in Blanket Factory: A Case Study Advances in Operations Research Pub Date : 2023-6-23 Seife Ebeyedengel
Blanket factory as a textile industry is one of the manufacturing sectors in Ethiopia; however, the sector productivity is the main issue of the business owners. For the reason of improving the productivity of the sector, factors affecting productivity should be identified and prioritized since improvement is capital intensive measurement. In this research, a FAHP methodology has been developed to
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Benchmarking the Interactions among Green and Sustainable Vendor Selection Attributes Advances in Operations Research Pub Date : 2022-12-27 Reema Agarwal, Ankur Agrawal, Nitendra Kumar, Mohd Asif Shah, Preeti Jawla, S. Priyan
The primary motive of each and every organization or company is to sustain, strengthen, upgrade, and improve its position and standard in the highly dynamic, constantly changeable, aggressive, and competitive environment. There is a very urgent requirement to develop a framework for green and sustainable vendor selection in the organizations. The main aim of this research is to explore, identify, examine
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Cutting Tools Assignment and Control Using Neutrosophic Case-Based Reasoning and Best Worst Method Advances in Operations Research Pub Date : 2022-10-29 Fentahun Moges Kasie, Glen Bright
Cutting tools management is one of the major issues in metal cutting operations. Most of the problems in cutting tools management were mostly addressed using optimization, heuristic, and simulation techniques. This important problem was not studied using decision-based approaches. This study proposed a decision support system (DSS) that can perform part-cutting tools assignment and control decisions
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On the Odd Perks Exponential Model: An Application to Quality Control Data Advances in Operations Research Pub Date : 2022-9-28 Shakaiba Shafiq, Farrukh Jamal, Christophe Chesneau, Muhammad Aslam, John T. Mendy
In the present study, the group acceptance plan is examined when the lifetime of an item follows the odd Perks exponential distribution, and a large number of items regarded as a group are evaluated simultaneously. The crucial parameters are derived from the consumer risk and the test termination period. The operating characteristics function values are generated for various quality levels. An optimized
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A Three-Stage Game Analysis of Private Lending Rate Ceiling: Necessity, Impact, and Solution Advances in Operations Research Pub Date : 2022-08-23 Ran Tao, Jiayue Chai
The ceiling on private lending interest rates is a powerful financial tool to maintain financial stability and reduce usury. Especially now that peer-to-peer lending has encountered some challenges, the ceiling is an essential way to regulate this market. The purpose of this paper is to analyze the necessity and the impact of such a powerful tool and also to find the optimal solution to determine it
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A Consumption and Investment Problem via a Markov Decision Processes Approach with Random Horizon Advances in Operations Research Pub Date : 2022-06-07 Octavio Paredes Pérez, Víctor Hugo Vázquez Guevara, Hugo Cruz-Suárez
This work is devoted to a consumption and investment problem, in which there is an investor with certain initial wealth with the possibility of deciding how much of such wealth will be consumed and how much will be invested in each of a series of successive times. The key issue is to find a wealth assignation rule in order to maximize the performance criteria; such dilemma will be achieved by the dynamic
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Multiobjective Green Time-Dependent Location-Routing Problem and Algorithms Advances in Operations Research Pub Date : 2022-05-21 Hua-Xin Zhang, Chun-Miao Zhang
To reduce the logistic cost and carbon emission and improve customer satisfaction, this study proposes a multiobjective green time-dependent location routing problem (MOGTDLRP) model in which the objectives are to minimize the distribution total cost, delivery time, and fuel consumption. This model will be solved by several hyperheuristic algorithms which include the high-level heuristics and the low-level
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Development of a Bounded Two-Stage Data Envelopment Analysis Model in the Intuitionistic Fuzzy Environment Advances in Operations Research Pub Date : 2022-05-17 Shabnam Mohammadi Ardakani, Hamid Babaei Meybodi, Hossein Sayyadi Tooranloo
Data Envelopment Analysis is a powerful tool for evaluating the efficiency of decision-making units for the purpose of ranking, comparing, and differentiating efficient and inefficient units. Classical Data Envelopment Analysis methods operate by measuring the efficiency of each DMU compared to similar units without considering their internal workings and structures, which make them unsuitable for
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Optimal HARA Investments with Terminal VaR Constraints Advances in Operations Research Pub Date : 2022-05-09 Marcos Escobar-Anel, Maximilian Keller, Rudi Zagst
This paper studies the impact of Value at Risk (VaR) constraints on investors with hyperbolic absolute risk aversion (HARA) risk preferences. We derive closed-form representations for the “triplet”: optimal investment, terminal wealth, and value function, via extending the Bellman-based methodology from constant relative risk aversion (CRRA) utilities to HARA utilities. In the numerical part, we compare
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Decision-Making Methods in the Public Sector during 2010–2020: A Systematic Review Advances in Operations Research Pub Date : 2022-04-11 Christina Fountzoula, Konstantinos Aravossis
The aim of this article is to analyze the scientific developments in public sector decision making during the period 2010–2020, to identify which decision-making methods are preferred in different sectors of the public sector, and to determine which integrated methods are applied in this sector. In total, 468 scholarly articles were selected covering a near comprehensive review of the literature, as
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Understanding Population Dynamics in Multi- and Many-Objective Evolutionary Algorithms for High-Resolution Approximations Advances in Operations Research Pub Date : 2021-12-30 Hugo Monzón Maldonado, Hernán Aguirre, Sébastien Verel, Arnaud Liefooghe, Bilel Derbel, Kiyoshi Tanaka
Achieving a high-resolution approximation and hitting the Pareto optimal set with some if not all members of the population is the goal for multi- and many-objective optimization problems, and more so in real-world applications where there is also the desire to extract knowledge about the problem from this set. The task requires not only to reach the Pareto optimal set but also to be able to continue
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Modeling Enablers of Transporter’s Performance in Downstream Logistics of the Indian Oil Sector Advances in Operations Research Pub Date : 2021-12-20 Raj Singh Malik, Manoj Kumar Srivastava, Imlak Shaikh
Oil industry in India has entered the competitive world, and each organization used probing strategies to reduce cost. India is a non-oil-producing country, and the scope for this lies in reducing supply chain cost in downstream logistics. This research provides an integrated model of key enablers for transporter’s performance in downstream logistics excellence of Indian oil sector to provide oil marketing
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An Optimization Model to Address Overcrowding in Emergency Departments Using Patient Transfer Advances in Operations Research Pub Date : 2021-08-23 Zeynab Oveysi, Ronald G. McGarvey, Kangwon Seo
Overcrowding of emergency departments (EDs) is a problem that affected many hospitals especially during the response to emergency situations such as pandemics or disasters. Transferring nonemergency patients is one approach that can be utilized to address ED overcrowding. We propose a novel mixed-integer nonlinear programming (MINLP) model that explicitly considers queueing effects to address overcrowding
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A Comparison of Benson’s Outer Approximation Algorithm with an Extended Version of Multiobjective Simplex Algorithm Advances in Operations Research Pub Date : 2021-07-05 Paschal B. Nyiam, Abdellah Salhi
The multiple objective simplex algorithm and its variants work in the decision variable space to find the set of all efficient extreme points of multiple objective linear programming (MOLP). Other approaches to the problem find either the entire set of all efficient solutions or a subset of them and also return the corresponding objective values (nondominated points). This paper presents an extension
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Assessment of Customers’ Relationship Management Practices on Customer Retention and Loyalty of Oromia Credit and Saving Share Company: Bule Hora City Branch Advances in Operations Research Pub Date : 2021-06-24 Teshita Uke Chikako, Gemedi Tesfaye Hamu
The main objective of this study was to assess customers’ relationship management practices of Oromia Credit and Saving Share Company, Bule Hora city branch in Bule Hora, Ethiopia. Customer relationship management (CRM) as a strategy has gained tremendous interest among researchers and practitioners in recent times. Thus, this study tried to assess the status and ways CRM has been put in for practice
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Ordering Policies of a Deteriorating Item in an EOQ Model under Upstream Partial Order-Quantity-Dependent Trade Credit and Downstream Full Trade Credit Advances in Operations Research Pub Date : 2021-04-13 Zohreh Molamohamadi, Abolfazl Mirzazadeh
In the classical inventory systems, the retailer had to settle the accounts of the purchased items at the time they were received. But in practice, the supplier applies some strategic tools, such as trade credit contract, to enhance his sales channel and offers delay period to his customers to settle the account. Any member of the supply chain may offer full or partial trade credit contract to his
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A Successful Three-Phase Metaheuristic for the Shift Minimization Personal Task Scheduling Problem Advances in Operations Research Pub Date : 2021-01-29 Kimmo Nurmi, Nico Kyngäs
Workforce scheduling process consists of three major phases: workload prediction, shift generation, and staff rostering. Shift generation is the process of transforming the determined workload into shifts as accurately as possible. The Shift Minimization Personnel Task Scheduling Problem (SMPTSP) is a problem in which a set of tasks with fixed start and finish times must be allocated to a heterogeneous
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A Parallelized Variable Fixing Process for Solving Multistage Stochastic Programs with Progressive Hedging Advances in Operations Research Pub Date : 2020-12-12 Martin B. Bagaram, Sándor F. Tóth, Weikko S. Jaross, Andrés Weintraub
Long time horizons, typical of forest management, make planning more difficult due to added exposure to climate uncertainty. Current methods for stochastic programming limit the incorporation of climate uncertainty in forest management planning. To account for climate uncertainty in forest harvest scheduling, we discretize the potential distribution of forest growth under different climate scenarios
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A New Green Efficiency-Based Carbon Taxing Policy and Its Effects on a Production-Inventory System with Random Carbon Emissions and Green Investment Advances in Operations Research Pub Date : 2020-10-29 Tapan Kumar Datta
In this study, the author proposes a new carbon taxing policy. This proposed carbon tax has two tax components. The first component is constant, and the second component depends on the green efficiency of production. The green efficiency of production is measured by the average amount of emissions per unit production in an assessment year. The green efficiency-based tax component can be reset every
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Optimizing Wiener and Randić Indices of Graphs Advances in Operations Research Pub Date : 2020-09-26 A. C. Mahasinghe, K. K. W. H. Erandi, S. S. N. Perera
Wiener and Randić indices have long been studied in chemical graph theory as connection strength measures of graphs. Later, these indices were used in different fields such as network analysis. We consider two optimization problems related to these indices, with potential applications to network theory, in particular to epidemiological networks. Given a connected graph and a fixed total edge weight
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Route Optimization of Electric Vehicle considering Soft Time Windows and Two Ways of Power Replenishment Advances in Operations Research Pub Date : 2020-05-20 Ming Meng, Yun Ma
Under the background of severe air pollution and energy shortage, electric vehicles (EVs) are promising vehicles to support green supply chain and clean production. In the world, the renewal of EVs has become a general trend. Therefore, the concern about EVs is a hot issue at present, but EVs have the characteristics of limited driving distance and long charging time. When the EVs are used in logistics
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A Particle Swarm Optimization Algorithm for Solving Pricing and Lead Time Quotation in a Dual-Channel Supply Chain with Multiple Customer Classes Advances in Operations Research Pub Date : 2020-04-22 Mahboobeh Honarvar, Majid Alimohammadi Ardakani, Mohammad Modarres
The combination of traditional retail channel with direct channel adds a new dimension of competition to manufacturers’ distribution system. In this paper, we consider a make-to-order manufacturer with two channels of sale, sale through retailers and online direct sale. The customers are classified into different classes, based on their sensitivity to price and due date. The orders of traditional retail
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Green Scheduling of Jobs and Flexible Periods of Maintenance in a Two-Machine Flowshop to Minimize Makespan, a Measure of Service Level and Total Energy Consumption Advances in Operations Research Pub Date : 2020-04-14 Sadiqi Assia, Ikram El Abbassi, Abdellah El Barkany, Moumen Darcherif, Ahmed El Biyaali
The success of an industry today depends on its ability to innovate. In terms of energy performance, this innovation is reflected in the ability of manufacturers to implement new solutions or technologies that enable better energy management. In this regard, this paper aims to address this gap by incorporating energy consumption as an explicit criterion in flowshop scheduling of jobs and flexible preventive
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Inverting the Multiple-Assisting Tool Network Problem to Solve for Optimality Advances in Operations Research Pub Date : 2020-03-20 Robert Rich
Many network problems deal with the routing of a main tool comprised of several parallel assisting tools. These problems can be found with multi-tool-head routing of CNC machines, waterjets, plasma sprayers, and cutting machines. Other applications involve logistics, distribution, and material handling that require a main tool with assisting tools. Currently no studies exist that optimally route a
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Solving Capacitated Facility Location Problem Using Lagrangian Decomposition and Volume Algorithm Advances in Operations Research Pub Date : 2020-02-04 Eiman J. Alenezy
In this research, we will focus on one variant of the problem: the capacitated facility location problem (CFLP). In many formulations of the CFLP, it is assumed that each demand point can be supplied by only one open facility, which is the simplest case of the problem. We consider the case where each demand point can be supplied by more than one open facility. We first investigate a Lagrangian relaxation
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Inverting the Truck-Drone Network Problem to Find Best Case Configuration Advances in Operations Research Pub Date : 2020-01-22 Robert Rich
Many industries are looking for ways to economically use truck/rail/ship fitted with drone technologies to augment the “last mile” delivery effort. While drone technologies abound, few, if any studies look at the proper configuration of the drone based on significant features of the problem: delivery density, operating area, drone range, and speed. Here, we first present the truck-drone problem and
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A New Technique for Determining Approximate Center of a Polytope Advances in Operations Research Pub Date : 2019-11-15 Syed Inayatullah, Maria Aman, Asma Rani, Hina Zaheer, Tanveer Ahmed Siddiqi
In this article, we have presented a method for finding the approximate center of a linear programming polytope. This method provides a point near the center of a polytope in few simple and easy steps. Geometrical interpretation and some numerical examples have also been presented to demonstrate the proposed approach and comparison of quality of the center obtained by using the new method with existing
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A Goal Programming Approach to Multichoice Multiobjective Stochastic Transportation Problems with Extreme Value Distribution Advances in Operations Research Pub Date : 2019-09-11 Hadeel Al Qahtani, Ali El–Hefnawy, Maha M. El–Ashram, Aisha Fayomi
This paper presents the study of a multichoice multiobjective transportation problem (MCMOTP) when at least one of the objectives has multiple aspiration levels to achieve, and the parameters of supply and demand are random variables which are not predetermined. The random variables shall be assumed to follow extreme value distribution, and the demand and supply constraints will be converted from a
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Multiobjective Simulated Annealing: Principles and Algorithm Variants Advances in Operations Research Pub Date : 2019-05-23 Khalil Amine
Simulated annealing is a stochastic local search method, initially introduced for global combinatorial mono-objective optimisation problems, allowing gradual convergence to a near-optimal solution. An extended version for multiobjective optimisation has been introduced to allow a construction of near-Pareto optimal solutions by means of an archive that catches nondominated solutions while exploring
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Ranking-Theory Methods for Solving Multicriteria Decision-Making Problems Advances in Operations Research Pub Date : 2019-04-01 Joseph Gogodze
The Pareto optimality is a widely used concept for the multicriteria decision-making problems. However, this concept has a significant drawback—the set of Pareto optimal alternatives usually is large. Correspondingly, the problem of choosing a specific Pareto optimal alternative for the decision implementation is arising. This study proposes a new approach to select an “appropriate” alternative from
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Credit Scoring: A Review on Support Vector Machines and Metaheuristic Approaches Advances in Operations Research Pub Date : 2019-03-13 R. Y. Goh, L. S. Lee
Development of credit scoring models is important for financial institutions to identify defaulters and nondefaulters when making credit granting decisions. In recent years, artificial intelligence (AI) techniques have shown successful performance in credit scoring. Support Vector Machines and metaheuristic approaches have constantly received attention from researchers in establishing new credit models
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The Effect of Welding on the One-Dimensional Cutting-Stock Problem: The Case of Fixed Firefighting Systems in the Construction Industry Advances in Operations Research Pub Date : 2019-03-03 Kolos Csaba Ágoston
Safety is paramount in the construction industry and the fixed sprinkler and water spray systems used in firefighting involve networks of pipes of various lengths. Manufacturers of such fixed firefighting systems need to either cut the existing stocks to length—a (one-dimensional) cutting-stock problem—or lengthen the existing stocks or leftover segments through welding, a (one-dimensional) cutting-stock
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An Examination of Ranking Quality for Simulated Pairwise Judgments in relation to Performance of the Selected Consistency Measure Advances in Operations Research Pub Date : 2019-02-03 Paul Thaddeus Kazibudzki
An overview of current debates and contemporary research devoted to the modeling of decision making processes and their facilitation directs attention to the Analytic Hierarchy Process (AHP). At the core of the AHP are various prioritization procedures (PPs) and consistency measures (CMs) for a Pairwise Comparison Matrix (PCM) which, in a sense, reflects preferences of decision makers. Certainly, when
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Decision-Making for Urban Planning and Regional Development Advances in Operations Research Pub Date : 2019-01-10 Marta Bottero,Chiara D’Alpaos,Alessandra Oppio
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Development of Clustered Resistance Gene Analogs-Based Markers of Resistance to Phytophthora capsici in Chili Pepper Advances in Operations Research Pub Date : 2018-12-31 Habibeh Nazif
Operating room (OR) surgery scheduling is a challenging combinatorial optimization problem that determines the operation start time of every surgery to be performed in different surgical groups, as well as the resources assigned to each surgery over a schedule period. One of the main challenges in health care systems is to deliver the highest quality of care at the lowest cost. In real-life situations
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A New Robust Dynamic Data Envelopment Analysis Approach for Sustainable Supplier Evaluation Advances in Operations Research Pub Date : 2018-12-09 Hava Nikfarjam, Mohsen Rostamy-Malkhalifeh, Abbasali Noura
Supplier selection is one of the intricate decisions of managers in modern business era. There are different methods and techniques for supplier selection. Data envelopment analysis (DEA) is a popular decision-making method that can be used for this purpose. In this paper, a new dynamic DEA approach is proposed which is capable of evaluating the suppliers in consecutive periods based on their inputs
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Multicriteria Evaluation of Urban Regeneration Processes: An Application of PROMETHEE Method in Northern Italy Advances in Operations Research Pub Date : 2018-11-14 Marta Bottero, Chiara D’Alpaos, Alessandra Oppio
The paper illustrates the development of an evaluation model for supporting the decision-making process related to an urban regeneration intervention. In particular, the study proposes an original multi-methodological approach, which combines SWOT Analysis, Stakeholders Analysis and PROMETHEE method for the evaluation of alternative renewal strategies of an urban area in Northern Italy. The article
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Measuring Conflicts Using Cardinal Ranking: An Application to Decision Analytic Conflict Evaluations Advances in Operations Research Pub Date : 2018-09-27 Tobias Fasth, Aron Larsson, Love Ekenberg, Mats Danielson
One of the core complexities involved in evaluating decision alternatives in the area of public decision-making is to deal with conflicts. The stakeholders affected by and involved in the decision often have conflicting preferences regarding the actions under consideration. For an executive authority, these differences of opinion can be problematic, during both implementation and communication, even
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Minimizing Cost Travel in Multimodal Transport Using Advanced Relation Transitive Closure Advances in Operations Research Pub Date : 2018-08-23 Rachid Oucheikh, Ismail Berrada, Lahcen Omari
The optimization computation is an essential transversal branch of operations research which is primordial in many technical fields: transport, finance, networks, energy, learning, etc. In fact, it aims to minimize the resource consumption and maximize the generated profits. This work provides a new method for cost optimization which can be applied either on path optimization for graphs or on binary
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Fuzzy Dynamic Parameter Adaptation in the Harmony Search Algorithm for the Optimization of the Ball and Beam Controller Advances in Operations Research Pub Date : 2018-08-14 Cinthia Peraza, Fevrier Valdez, Juan R. Castro, Oscar Castillo
This paper presents a method for dynamic parameter adaptation in the harmony search algorithm (HS) based on fuzzy logic. The adaptation is performed using Type 1 (FHS), interval Type 2 (IT2FHS), and generalized Type 2 (GT2FHS) fuzzy systems as the number of improvisations or iterations advances, achieving a better intensification and diversification. The main contribution of this work is the dynamic
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Fuzzy Dynamic Adaptation of Gap Generation and Mutation in Genetic Optimization of Type 2 Fuzzy Controllers Advances in Operations Research Pub Date : 2018-06-07 Leticia Cervantes, Oscar Castillo, Denisse Hidalgo, Ricardo Martinez-Soto
We propose to use an approach based on fuzzy logic for the adaptation of gap generation and mutation probability in a genetic algorithm. The performance of this method is presented with the benchmark problem of flight control and results show how it can decrease the error during the flight of an airplane using fuzzy logic for some parameters of the genetic algorithm. In this case of study, we use fuzzy
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Multiobjective Optimization for Multimode Transportation Problems Advances in Operations Research Pub Date : 2018-06-07 Laurent Lemarchand, Damien Massé, Pascal Rebreyend, Johan Håkansson
We propose modelling for a facilities localization problem in the context of multimode transportation. The applicative goal is to locate service facilities such as schools or hospitals while optimizing the different transportation modes to these facilities. We formalize the School Problem and solve it first exactly using an adapted -constraint multiobjective method. Because of the size of the instances
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Integration between Transport Models and Cost-Benefit Analysis to Support Decision-Making Practices: Two Applications in Northern Italy Advances in Operations Research Pub Date : 2018-01-01 Paolo Beria, Alberto Bertolin, Raffaele Grimaldi
Decisions on transport plans and projects involve relevant public investments and may also determine radical changes in users’ costs. Unfortunately, it is not rare that—especially at the strategic planning stage—decisions on alternative projects or scenarios are made on a qualitative basis or, at best, by setting some indicators and verifying how much they reach the politically decided targets (e.g
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The Behavior of Procurement Process as Described by Using System Dynamics Methodology Advances in Operations Research Pub Date : 2018-01-01 Mohd Izhan Mohd Yusoff
System dynamics methodology has been used in many fields of study which include supply chain, project management and performance, and procurement process. The said methodology enables the researchers to identify and study the impact of the variables or factors on the outcome of the model they developed. In this paper, we showed the use of system dynamics methodology in studying the behavior of procurement
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An Assignment Problem and Its Application in Education Domain: A Review and Potential Path Advances in Operations Research Pub Date : 2018-01-01 Syakinah Faudzi, Syariza Abdul-Rahman, Rosshairy Abd Rahman
This paper presents a review pertaining to assignment problem within the education domain, besides looking into the applications of the present research trend, developments, and publications. Assignment problem arises in diverse situations, where one needs to determine an optimal way to assign subjects to subjects in the best possible way. With that, this paper classified assignment problems into two
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Corrigendum to “Resource Tardiness Weighted Cost Minimization in Project Scheduling” Advances in Operations Research Pub Date : 2017-01-01 Ali Shirzadeh Chaleshtari
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Evolutionary Multiobjective Optimization including Practically Desirable Solutions Advances in Operations Research Pub Date : 2017-01-01 Miyako Sagawa, Natsuki Kusuno, Hernán Aguirre, Kiyoshi Tanaka, Masataka Koishi
In many practical situations the decision-maker has to pay special attention to decision space to determine the constructability of a potential solution, in addition to its optimality in objective space. Practically desirable solutions are those around preferred values in decision space and within a distance from optimality. This work investigates two methods to find simultaneously optimal and practically
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Population Based Metaheuristic Algorithm Approach for Analysis of Multi-Item Multi-Period Procurement Lot Sizing Problem Advances in Operations Research Pub Date : 2017-01-01 Prasanna Kumar, Mervin Herbert, Srikanth Rao
This research study focuses on the optimization of multi-item multi-period procurement lot sizing problem for inventory management. Mathematical model is developed which considers different practical constraints like storage space and budget. The aim is to find optimum order quantities of the product so that total cost of inventory is minimized. The NP-hard mathematical model is solved by adopting
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A Linear Time Algorithm for a Variant of the MAX CUT Problem in Series Parallel Graphs Advances in Operations Research Pub Date : 2017-01-01 Brahim Chaourar
Given a graph $G=(V, E)$, a connected sides cut $(U, V\backslash U)$ or $\delta (U)$ is the set of edges of E linking all vertices of U to all vertices of $V\backslash U$ such that the induced subgraphs $G[U]$ and $G[V\backslash U]$ are connected. Given a positive weight function $w$ defined on $E$, the maximum connected sides cut problem (MAX CS CUT) is to find a connected sides cut $\Omega$ such
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Resource Tardiness Weighted Cost Minimization in Project Scheduling Advances in Operations Research Pub Date : 2017-01-01 Ali Shirzadeh Chaleshtari
In this paper, we study a project scheduling problem that is called resource constrained project scheduling problem under minimization of total weighted resource tardiness penalty cost (RCPSP-TWRTPC). In this problem, the project is subject to renewable resources, each renewable resource is available for limited time periods during the project life cycle, and keeping the resource for each extra period
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Planning Solid Waste Collection with Robust Optimization: Location-Allocation, Receptacle Type, and Service Frequency Advances in Operations Research Pub Date : 2017-01-01 Maryam Nikouei Mehr, Ronald G. McGarvey
Consider the problem faced by a purchaser of solid waste management services, who needs to identify waste collection points, the assignment of waste generation points to waste collection points, and the type and number of receptacles utilized at each collection point. Receptacles whose collection schedule is specified in advance are charged a fixed fee according to the number of times the receptacle
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Effect of Green Technology Investment on a Production-Inventory System with Carbon Tax Advances in Operations Research Pub Date : 2017-01-01 Tapan Kumar Datta
Carbon emissions play the central role in global warming. Manufacturing firms are significant contributors to carbon emissions. In many countries, regulatory authorities are taking actions to reduce emissions. Carbon taxation and cap-and-trade schemes are two mechanisms implemented in many countries. In the present paper, the author analyzes a production-inventory model under a carbon tax system. The
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Towards Merging Binary Integer Programming Techniques with Genetic Algorithms Advances in Operations Research Pub Date : 2017-01-01 Reza Zamani
This paper presents a framework based on merging a binary integer programming technique with a genetic algorithm. The framework uses both lower and upper bounds to make the employed mathematical formulation of a problem as tight as possible. For problems whose optimal solutions cannot be obtained, precision is traded with speed through substituting the integrality constrains in a binary integer program
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Insular Biobjective Routing with Environmental Considerations for a Solid Waste Collection System in Southern Chile Advances in Operations Research Pub Date : 2017-01-01 Daniela S. Arango González, Elias Olivares-Benitez, Pablo A. Miranda
This paper presents a biobjective problem for a solid waste collection system in a set of islands in southern Chile. The first objective minimizes transportation cost and the second one reduces the environmental impact caused by the accumulation of solid waste at the collection points. To solve this problem, biobjective mixed integer linear programming is used. In the model, an itinerary scheme is
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Redesign of the Attention Process of Patients with Rheumatologic Diseases: Assessing the Performance with Analytic Hierarchy Process Advances in Operations Research Pub Date : 2017-01-01 Iouri Gorbanev, Ariel Cortes, Sandra Agudelo-Londoño
Objective. To compare the Business process management and the analytic hierarchy process as the tools of process performance assessment. Instruments and Methods. Case study of the attention process of rheumatology patients. Business process management and analytic hierarchy process were applied to assess the redesign of the attention process. The two methods were compared. The data were obtained through