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Pareto-optimal front generation for the bi-objective JIT scheduling problems with a piecewise linear trade-off between objectives Operations Research Perspectives (IF 2.5) Pub Date : 2024-02-17 Sona Babu, B.S. Girish
This paper proposes a novel method of Pareto front generation from a set of piecewise linear trade-off curves typically encountered in bi-objective just-in-time (JIT) scheduling problems. We have considered the simultaneous minimization of total weighted earliness and tardiness (TWET) and total flowtime (TFT) objectives in a single-machine scheduling problem (SMSP) with distinct job due dates allowing
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The decrease of ED patient boarding by implementing a stock management policy in hospital admissions Operations Research Perspectives (IF 2.5) Pub Date : 2024-02-09 Sebastián Jaén
The presence of congestion is a common scenario in tertiary-level hospitals worldwide. Current research suggests that an increase in hospital bed capacity is not a long-term solution given that patient demand adapts to added capacity. Recent literature suggests the need for the implementation of a policy of inter-hospital transfers to divert patients to outpatient priority services or home care. This
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Sustainability inventory management model with warm-up process and shortage Operations Research Perspectives (IF 2.5) Pub Date : 2024-02-08 Erfan Nobil, Leopoldo Eduardo Cárdenas-Barrón, Dagoberto Garza-Núñez, Gerardo Treviño-Garza, Armando Céspedes-Mota, Imelda de Jesús Loera-Hernández, Neale R. Smith, Amir Hossein Nobil
Fast-paced markets require complex interactions from all supply-chain agents to satisfy customer demands and needs. The manufacturing industries face some difficulties in terms of production amounts and smooth delivery rates. Technical experts found that a warm-up period before a production run helps address those challenges and improves the workability of machine tools in the manufacturing process
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Early detection of students’ failure using Machine Learning techniques Operations Research Perspectives (IF 2.5) Pub Date : 2023-11-20 Aarón López-García, Olga Blasco-Blasco, Marina Liern-García, Sandra E. Parada-Rico
The educational system determines one of the significant strengths of an advanced society. A country with a lack of culture is less competitive due to the inequality suffered by its people. Institutions and organizations are putting their efforts into tackling that problem. Nevertheless, it is not an easy task to ascertain why their students have failed or what are the conditions that affect such situations
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The effect of an uncertain commission rate on the decisions of a capital-constrained developer Operations Research Perspectives (IF 2.5) Pub Date : 2023-11-10 Tal Avinadav, Priel Levy
This study investigates a green supply chain consisting of a capital-constrained developer who sells a product via a platform. The parties interact via an agency contract, in which the platform charges a fixed proportion of the revenue gained from each sold unit and the developer receives the remaining sum. Since the development process is relatively protracted, at the early stages of this process
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Research on the scheduling method of ground resource under uncertain arrival time Operations Research Perspectives (IF 2.5) Pub Date : 2023-11-15 Guoning Xu, Yupeng Lin, Zhiying Wu, Qingxin Chen, Ning Mao
We present a two-stage scheduling approach including proactive and reactive scheduling to solve the ground resource scheduling problem with uncertain arrival time. In the first stage, an integer programming model is constructed to minimize the delay and transfer costs. After solving this model, we obtain a baseline scheduling plan that considers the service arrival time uncertainty. In the second stage
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Effects of variable prepayment installments on pricing and inventory decisions with power demand pattern and non-linear holding cost under carbon cap-and-price regulation Operations Research Perspectives (IF 2.5) Pub Date : 2023-11-11 Md. Al-Amin Khan, Leopoldo Eduardo Cárdenas-Barrón, Gerardo Treviño-Garza, Armando Céspedes-Mota, Imelda de Jesús Loera-Hernández, Neale R. Smith
Regulators’ increasingly stringent carbon rules to protect the environment are encouraging practitioners to modify their operational activities that are accountable for releasing emissions into the atmosphere. Thereby, practitioners dealing with product inventory planning are seeking proper management strategies not only to increase profits but also to reduce released carbons from operations. In addition
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Prescriptive price optimization using optimal regression trees Operations Research Perspectives (IF 2.5) Pub Date : 2023-11-10 Shunnosuke Ikeda, Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano
This paper is concerned with prescriptive price optimization, which integrates machine learning models into price optimization to maximize future revenues or profits of multiple items. The prescriptive price optimization requires accurate demand forecasting models because the prediction accuracy of these models has a direct impact on price optimization aimed at increasing revenues and profits. The
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Introduction to the SI “Advances in Operations Research and Machine Learning focused on Pandemic Dynamics” Operations Research Perspectives (IF 2.5) Pub Date : 2023-08-19 Massimiliano Ferrara, Ali Ahmadian, Soheil Salashour, Bruno Antonio Pansera
Abstract not available
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Variable Neighborhood Search Algorithm for the Single Assignment Incomplete Hub Location Problem with Modular Capacities and Direct Connections Operations Research Perspectives (IF 2.5) Pub Date : 2023-07-20 Raed AL Athamneh, Moayad Tanash, Dania Bani Hani, Mustafa Rawshdeh, Abdallah Alawin, Zaid Albataineh
In distribution systems such as airlines and express package delivery, the use of hub-and-spoke networks is common, and flow consolidation at hub facilities is essential for cost reduction. While a constant discount factor is typically used to model cost reduction in interhub links, this paper explores an extension of the incomplete hub location problem with modular capacity that enables direct connections
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Interventions in demand and supply sides for vaccine supply chain: An analysis on monkeypox vaccine Operations Research Perspectives (IF 2.5) Pub Date : 2023-06-28 Hamid R. Sayarshad
After a pandemic, all countries experience a shortage in vaccine supply due to limited vaccine stocks and production capacity globally. One particular problem is that it is hard to predict demands for vaccines during the global crisis. On the other hand, vaccines are usually made and packaged in different places, raising logistical issues and concerns that can further delay distribution. In this paper
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An unsupervised learning-based generalization of Data Envelopment Analysis Operations Research Perspectives (IF 2.5) Pub Date : 2023-06-19 Raul Moragues, Juan Aparicio, Miriam Esteve
In this paper, we introduce an unsupervised machine learning method for production frontier estimation. This new approach satisfies fundamental properties of microeconomics, such as convexity and free disposability (shape constraints). The new method generalizes Data Envelopment Analysis (DEA) through the adaptation of One-Class Support Vector Machines with piecewise linear transformation mapping.
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On deciding when to stop metaheuristics: Properties, rules and termination conditions Operations Research Perspectives (IF 2.5) Pub Date : 2023-06-14 Albert Corominas
Most metaheuristics lack a termination condition based on reasonable premises and guaranteeing the quality of the solution provided by the algorithm. We propose a methodological frame that distinguishes the concepts of properties of the final incumbent solution, rules and termination conditions. The frame is applied to discuss the use of popular stopping rules (such as maximum number of iterations
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The cost-benefit approach to an optimal charging scheme for an embryo storage service Operations Research Perspectives (IF 2.5) Pub Date : 2023-05-25 Yael Lahav, Avi Herbon, Uriel Spiegel
Cryostorage of human embryos produced during the course of in vitro fertilization (IVF) treatment is an important issue for hospitals, governments and individuals who are facing fertility challenges. Embryo cryostorage is giving rise to increasing economic, ethical and legal concerns due to the increasing holding and operational costs of storage, the rise in the number of unused embryos, and the absence
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Measuring the performance of retailers during the COVID-19 pandemic: Embedding optimal control theory principles in a dynamic data envelopment analysis approach Operations Research Perspectives (IF 2.5) Pub Date : 2023-05-26 Isotilia Costa Melo, Paulo Nocera Alves Junior, Jéssica Syrio Callefi, Karoline Arguelho da Silva, Marcelo Seido Nagano, Daisy Aparecida do Nascimento Rebelatto, Athanasios Rentizelas
Traditional retailers (bricks-and-mortar) have been continuously increasing online sales. However, not all retail companies were able to respond to the increasing sales with the same efficiency level as their competitors. This paper aims to propose a dynamic model – incorporating principles of Optimal Control Theory (OCT) into a Data Envelopment Analysis (DEA) model - for measuring the performance
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Retraction notice to “SIR model for the spread of COVID-19: A case study” [Operations Research Perspectives 10 (2023) 100265] Operations Research Perspectives (IF 2.5) Pub Date : 2023-05-24 Ayoob Salimipour, Toktam Mehraban, Hevi Seerwan Ghafour, Noreen Izza Arshad, M.J. Ebadi
Abstract not available
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Efficiency in university hospitals: A genetic optimized semi-parametric production function Operations Research Perspectives (IF 2.5) Pub Date : 2023-05-18 Peter Wanke, Claudia Araujo, Yong Tan, Jorge Antunes, Roberto Pimenta
This paper investigates the social-welfare efficiency drivers of public university hospitals in Brazil by focusing on how the surrounding social welfare conditions may affect their performance. A novel Genetic Envelopment Analysis (GEA) approach is developed here to this end. Subsequently, LASSO regression is applied to filter the impact of social-welfare related variables –on efficiency scores. Results
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One-parametric analysis of column-oriented linear programs Operations Research Perspectives (IF 2.5) Pub Date : 2023-05-06 Torbjörn Larsson, Nils-Hassan Quttineh
A linear optimization problem which is amenable to column generation and contains a single parameter in the objective function is considered. We extend and adapt the standard linear programming column generation scheme to effectively and efficiently solve this problem for all values of the parameter. As a potential application we consider bi-objective discrete optimization and describe how the one-parametric
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Methods to analyze customer usage data in a product decision process:A systematic literature review Operations Research Perspectives (IF 2.5) Pub Date : 2023-05-05 Christian Micus, Simon Schramm, Markus Boehm, Helmut Krcmar
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A real-time balancing market optimization with personalized prices: From bilevel to convex Operations Research Perspectives (IF 2.5) Pub Date : 2023-04-21 Koorosh Shomalzadeh, Jacquelien M.A. Scherpen, M. Kanat Camlibel
This paper studies the static economic optimization problem of a system with a single aggregator and multiple prosumers in a Real-Time Balancing Market (RTBM). The aggregator, as the agent responsible for portfolio balancing, needs to minimize the cost for imbalance satisfaction in real-time by proposing a set of optimal personalized prices to the prosumers. On the other hand, the prosumers, as price
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Clustering and reference value for assessing influence in analytic network process without pairwise comparison matrices: Study of 17 real cases Operations Research Perspectives (IF 2.5) Pub Date : 2023-03-17 Erik Schulze-González, Juan-Pascual Pastor-Ferrando, Pablo Aragonés-Beltrán
The analytic network process (ANP) is a well-known multi-criteria decision method that uses pairwise comparison matrices to assess the influence among elements and clusters. This method requires the participation of experts who need to answer a large number of questions. A recent paper proposes using Decision-Making Trial and Evaluation (DEMATEL) scales in ANP to assess influences and suggests the
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A stochastic card balance management problem with continuous and batch-type bilateral transactions Operations Research Perspectives (IF 2.5) Pub Date : 2023-03-17 Yonit Barron
We study a stochastic continuous-review card balance management problem with two transaction patterns, namely, continuous and batch-type bilateral transactions, both in a Markovian environment. Motivated by the Autoload program used in public transit systems, the card is managed using a two-parameter band policy. Our cost structure includes activation and loading costs, and a fine for a negative balance
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Production planning decisions in the broiler chicken supply chain with growth uncertainty Operations Research Perspectives (IF 2.5) Pub Date : 2023-03-02 Alfaima L. Solano-Blanco, Jaime E. González, Andrés L. Medaglia
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A numerical comparative study of completion methods for pairwise comparison matrices Operations Research Perspectives (IF 2.5) Pub Date : 2023-02-28 Hailemariam Abebe Tekile, Matteo Brunelli, Michele Fedrizzi
In the context of some multi-criteria decision-making methods, such as the Analytic Hierarchy Process, an expert is required to compare entities, e.g. alternatives and criteria. However, often, for various reasons, the expert cannot provide judgments on all pairs of entities. For these cases, several completion methods have been proposed in the literature to estimate the missing values of pairwise
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Bilevel integer linear models for ranking items and sets Operations Research Perspectives (IF 2.5) Pub Date : 2023-02-24 Martine Labbé, Mercedes Landete, Juan F. Monge
Item and set orderings help with data management. Depending on the context, it is just as important to order a list of items (customers from different provinces, companies from different sectors, players from different teams) as it is to order a list of sets of these items (provinces, sectors, teams). It is evident that the order that is chosen for the items is not independent of the order that is
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A simulation-optimization approach for integrating physical and financial flows in a supply chain under economic uncertainty Operations Research Perspectives (IF 2.5) Pub Date : 2023-02-18 Ehsan Badakhshan, Peter Ball
In the last decade, increasing costs and organizational concerns regarding the funding and allocation of financial resources have led to significant attention being given to financial flow and its effects on planning decisions throughout supply chain networks. This study aims to develop a simulation-optimization model to integrate the financial and physical flows in a supply chain planning problem
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Lot-sizing and pricing decisions under attraction demand models and multi-channel environment: New efficient formulations Operations Research Perspectives (IF 2.5) Pub Date : 2023-02-15 Mourad Terzi, Yassine Ouazene, Alice Yalaoui, Farouk Yalaoui
The presented paper considers the pricing and lot-sizing decisions for a manufacturer who produces and sells a single product in different selling channels i.e physical stock, website, mobile, etc. The objective is to find the production plan and prices of each channel to maximize the total profit defined from difference between the revenues and the productions, holding and setups costs. The consumers’
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Prescribing net demand for two-stage electricity generation scheduling Operations Research Perspectives (IF 2.5) Pub Date : 2023-01-25 J.M. Morales, M.A. Muñoz, S. Pineda
We consider a two-stage generation scheduling problem comprising a forward dispatch and a real-time re-dispatch. The former must be conducted facing an uncertain net demand that includes non-dispatchable electricity consumption and renewable power generation. The latter copes with the plausible deviations with respect to the forward schedule by making use of balancing power during the actual operation
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Optimal manufacturer's cost sharing ratio, shipping policy and production rate – A two-echelon supply chain Operations Research Perspectives (IF 2.5) Pub Date : 2023-01-25 Avi Herbon, Israel David
We analyze an integrated inventory supply chain and seek the optimal production lot, optimal production rate, and optimal (integer) number of shipments per production lot. An increasing need for higher operational efficiency, as well as growing competition among multiple products for a limited storage capacity, is driving retailers to require more frequent shipping. This imposes pressure on suppliers
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Offshore windmill and substation maintenance planning with Distance, Fuel consumption and Tardiness optimisation Operations Research Perspectives (IF 2.5) Pub Date : 2023-01-20 E. De Kuyffer, K. Shen, L. Martens, W. Joseph, T. De Pessemier
Despite a lot of research about predictive maintenance for onshore and offshore windmill farms, nearly no investigation has been performed to obtain the optimal sequence in which windmills are to be served in a predefined time frame. The higher fuel costs and the increasing time pressure on maintenance jobs urge the need for optimisation, so offshore windmills can be serviced at minimal costs and within
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A robust model for emergency supplies prepositioning and transportation considering road disruptions Operations Research Perspectives (IF 2.5) Pub Date : 2023-01-10 Wuyang Yu
Proper prepositioning of emergency supplies can dramatically improve the efficiency of emergency response work. However, the uncertainties of emergency demands and road conditions bring difficulties to the prepositioning of emergency supplies. This paper proposes a two-stage robust model to locate emergency supply points and preposition the corresponding storage amount of emergency supplies, in which
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SIR model for the spread of COVID-19: A case study Operations Research Perspectives (IF 2.5) Pub Date : 2022-12-28 Ayoob Salimipour, Toktam Mehraban, Hevi Seerwan Ghafour, Noreen Izza Arshad, M.J. Ebadi
In this article, we study the spread pattern of the epidemic of COVID-19 disease from the point of view of mathematical modeling. Considering that this virus follows the basic rules of epidemic disease transmission, we use the SIR model to show the spread process of this disease in Iran. Then we estimate the primary reproduction number (R0) of COVID-19 in Iran by matching an epidemic model with the
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Analysing the impact of COVID-19 pandemic on the psychological health of people using fuzzy MCDM methods Operations Research Perspectives (IF 2.5) Pub Date : 2022-12-22 Shafi Ahmad, Sarfaraz Masood, Noor Zaman Khan, Irfan Anjum Badruddin, , Ali Ahmadian, Zahid A. Khan, Amil Hayat Khan
Recently, a large portion of the world's population has experienced an unprecedented devastating effect of the COVID-19 pandemic. At the time of its outbreak, not much was known about this disease and therefore, quarantine and social distancing were the only ways suggested to prevent its spread among humans. Although the current situation is much better than before however, strict social distancing
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A mathematical framework for regional hospital case mix planning and capacity appraisal Operations Research Perspectives (IF 2.5) Pub Date : 2022-12-17 Robert L Burdett, Paul Corry, Prasad Yarlagadda, David Cook, Sean Birgan, Steven M McPhail
This article considers current capacity issues in health care and the development of quantitative techniques to facilitate a high-level strategic assessment of hospital activity within a region. In providing that assessment, a variety of decision problems are foreseen, and we test the notion that it is useful to provide decision support for those. To achieve that support, several optimization models
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An integer programming model for obtaining cyclic quasi-difference matrices Operations Research Perspectives (IF 2.5) Pub Date : 2022-12-09 Luis Martínez, María Merino, Juan Manuel Montoya
Orthogonal arrays are of great importance in mathematical sciences. This paper analyses a certain practical advantage of quasi-difference matrices over difference matrices to obtain orthogonal arrays with given parameters. We also study the existence of quasi-difference matrices over cyclic groups originating orthogonal arrays with t=2 and λ=1, proving their existence for some parameters sets. Moreover
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Dynamic portfolio selection with linear control policies for coherent risk minimization Operations Research Perspectives (IF 2.5) Pub Date : 2022-12-09 Yuichi Takano, Jun-ya Gotoh
This paper is concerned with a linear control policy for dynamic portfolio selection. We develop this policy by incorporating time-series behaviors of asset returns on the basis of coherent risk minimization. Analyzing the dual form of our optimization model, we demonstrate that the investment performance of linear control policies is directly connected to the intertemporal covariance of asset returns
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Corrigendum to modeling multicriteria group decision making as games from enhanced pairwise comparisons [Operations Research Perspectives 8 (2021) 100194] Operations Research Perspectives (IF 2.5) Pub Date : 2022-05-17 Alexandre Bevilacqua Leoneti, Luiz Flavio Autran Monteiro Gomes
Abstract not available
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A marginal analysis framework to incorporate the externality effect of ordering perishables Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Katsunobu Sasanuma,Mohammad Delasay,Christine Pitocco,Alan Scheller-Wolf,Thomas Sexton
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A decision support approach employing the PROMETHEE method and risk factors for critical supply assessment in large-scale projects Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Richard Alex da Cunha,Luís Alberto Duncan Rangel,Christian A. Rudolf,Luiza dos Santos
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Operations management of outpatient chemotherapy process: An optimization-oriented comprehensive review Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Majed Hadid,Adel Elomri,Tarek El Mekkawy,Oualid Jouini,Laoucine Kerbache,Anas Hamad
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Review of RFID and IoT integration in supply chain management Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Weng Chun Tan,Manjit Singh Sidhu
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A systematic literature review for the tourist trip design problem: Extensions, solution techniques and future research lines Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 José Ruiz-Meza,Jairo R. Montoya-Torres
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New Matrix Methodology for Algorithmic Transparency in Assembly Line Balancing Using a Genetic Algorithm Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Juan Ignacio Anel,Pau Català,Moisès Serra,Bruno Domenech
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Closed-form portfolio optimization under GARCH models Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Marcos Escobar-Anel,Maximilian Gollart,Rudi Zagst
This paper develops the first closed-form optimal portfolio allocation formula for a spot asset whose variance follows a GARCH(1,1) process. We consider an investor with constant relative risk aversion (CRRA) utility who wants to maximize the expected utility from terminal wealth under a Heston and Nandi (2000) GARCH (HN-GARCH) model. We obtain closed formulas for the optimal investment strategy, the
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Multi-period portfolio decision analysis: A case study in the infrastructure management sector Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Gaia Gasparini,Matteo Brunelli,Marius Dan Chiriac
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Robust temporal optimisation for a crop planning problem under climate change uncertainty Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 M. Randall,J. Montgomery,A. Lewis
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Which rectangle sets have perfect packings? Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Florian Braam,Daan van den Berg
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Modeling Bayesian inspection game for non-performing loan problems Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Erwin Widodo,Oryza Akbar Rochmadhan,Lukmandono,Januardi
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Optimization of subsurface models with multiple criteria using Lexicase Selection Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Yifan He,Claus Aranha,Antony Hallam,Romain Chassagne
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Attracting international migrant labor: Investment optimization to alleviate supply chain labor shortages Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Anna Nagurney
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Integrated procurement-production inventory model in supply chain: A systematic review Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Dana Marsetiya Utama,Imam Santoso,Yusuf Hendrawan,Wike Agustin Prima Dania
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Multi-stage stochastic optimization of islanded utility-microgrids design after natural disasters Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Rodney Kizito,Zeyu Liu,Xueping Li,Kai Sun
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Pricing decisions of online and offline retailers, each offering a competing benefit Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Yael Perlman
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Technological change in water use: A mean-field game approach to optimal investment timing Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Géraldine Bouveret,Roxana Dumitrescu,Peter Tankov
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An opaque selling scheme to reduce shortage and wastage in perishable inventory systems Operations Research Perspectives (IF 2.5) Pub Date : 2022-01-01 Katsunobu Sasanuma,Akira Hibiki,Thomas Sexton
Effective management of perishable inventory systems is often strewn with challenges, especially when a strong trade-off relationship exists between shortage and wastage of perishables: A smaller inventory increases the chance to lose sales (leading to higher expected shortage cost), while a larger inventory increases the chance to waste perishables (leading to higher expected wastage cost). The root
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A systematic literature review about dimensioning safety stock under uncertainties and risks in the procurement process Operations Research Perspectives (IF 2.5) Pub Date : 2021-01-01 Júlio Barros,Paulo Cortez,M. Sameiro Carvalho
Abstract This paper analyses literature contributions in the search for safety stock problem under uncertainties and risks in the procurement process, focusing on the dimensioning problem (determination of the safety stock level). We perform a systematic literature review (SLR) from 1995 to 2019 in relevant journals, covering 193 selected articles. These selected articles were classified into three
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A review of approximate dynamic programming applications within military operations research Operations Research Perspectives (IF 2.5) Pub Date : 2021-01-01 M. Rempel,J. Cai
Abstract Sequences of decisions that occur under uncertainty arise in a variety of settings, including transportation, communication networks, finance, defence, etc. The classic approach to find an optimal decision policy for a sequential decision problem is dynamic programming; however its usefulness is limited due to the curse of dimensionality and the curse of modelling, and thus many real-world
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Location of trauma care resources with inter-facility patient transfers Operations Research Perspectives (IF 2.5) Pub Date : 2021-01-01 Eric DuBois,Adam Schmidt,Laura A. Albert
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Using variable neighbourhood descent and genetic algorithms for sequencing mixed-model assembly systems in the footwear industry Operations Research Perspectives (IF 2.5) Pub Date : 2021-01-01 Parisa Sadeghi,Rui Diogo Rebelo,José Soeiro Ferreira
Abstract This paper addresses a new Mixed-model Assembly Line Sequencing Problem in the Footwear industry. This problem emerges in a large company, which benefits from advanced automated stitching systems. However, these systems need to be managed and optimised. Operators with varied abilities operate machines of various types, placed throughout the stitching lines. In different quantities, the components
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Assessing and Prioritizing Risks in Public-Private Partnership (PPP) Projects Using the Integration of Fuzzy Multi-Criteria Decision-Making Methods Operations Research Perspectives (IF 2.5) Pub Date : 2021-01-01 Ebrahim Jokar,Babak Aminnejad,Alireza Lork
Abstract Public-private partnership (PPP)-based infrastructure projects generally face many risks and uncertainties at all stages of the project, including initial studies, design, construction, and operation. This causes many challenges such as increased costs, delays in the project and loss of materials and equipment, and so on. Given the need to use the PPP method in the development of infrastructure