Volume 6 (2021)
Volume 5 (2020)
Volume 4 (2019)
Volume 3 (2018)
Volume 2 (2017)
Volume 1 (2016)

Facts and Figures

Number of Volumes 7
Number of Issues 27
Number of Articles 254
Number of Contributors 562
Article View 122,507
PDF Download 88,375
View Per Article 482.31
PDF Download Per Article 347.93
Number of Submissions 717
Rejected Submissions 403
Accepted Submissions 223
Acceptance Rate 31
Accept Date (Days) 138
Number of Indexing Databases 13
Number of Reviewers 743

Ministry of Science, Research and Technology

 

 

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Journal of Decisions and Operations Research is an international scholarly open access, peer-reviewed, an interdisciplinary and fully refereed journal published quarterly. This journal provides a domain for professionals, academicians, researchers, policymakers, and practitioners working in the fields of applied mathematics, industrial engineering, reliability engineering, TQM, management and globalization to present their research findings, propose new methodologies, disseminate the latest findings, and to learn from each other’s research directions.

 

 From the ISC score, Journal of Decisions and Operations Research obtain grade Q1 with IF 0.192.

Original Article stochastic/Probabilistic/fuzzy/dynamic modeling
An improvement on twin parametric-margin support vector machine

Ali Sahleh; Maziar Salahi; Sadegh Eskandari

Volume 7, Issue 4 , November 2022, Pages 503-514

https://doi.org/10.22105/dmor.2021.281369.1372

Abstract
  Purpose: The aim of this paper is to present an enhanced variant of Twin Parametric-Margin Support Vector Machine (TPMSVM) that improves classification performance.Methodology: By replacing a variable in the objective function, we keep the samples of one class farther from the parametric margin hyperplane ...  Read More

Original Article Multi-Attribute Decision Making
Proposing a framework for identifying the competitive advantage of small and medium-sized manufacturing organizations under uncertainty conditions

Mahsima Rasi; Hossein Mohammadi Dolat-Abadi

Volume 7, Issue 4 , November 2022, Pages 515-529

https://doi.org/10.22105/dmor.2021.286940.1402

Abstract
  Purpose: This research provides a framework for identifying the core competencies and consequently the competitive advantage of small and medium-sized manufacturing organizations in conditions of fuzzy uncertainty.Methodology: This research ranks of the core competencies using the group fuzzy TOPSIS ...  Read More

Original Article Multi-Attribute Decision Making
Evaluating city of knowledge’s project management office functions using BWM and importance‐performance analysis

Ali Mohaghar; Rohollah Ghasemi; Hossein Toosi; Morteza Sheykhizadeh

Volume 7, Issue 4 , November 2022, Pages 530-549

https://doi.org/10.22105/dmor.2021.290728.1424

Abstract
  Purpose: The purpose of this study is to provide a model to explain the functions of the Project Management Office (PMO) of City Knowledge (CK) and prioritize their functions based on the importance-performance status.Methodology: The method of this research, In terms of purpose, is functional. In terms ...  Read More

original-application paper Multi-Attribute Decision Making
Identifying and prioritizing international markets entry strategies in plastics industry using analytic hierarchy process

Seyyed Ali Delbari; Alireza Davoodi; Niloofar Firozeh

Volume 7, Issue 4 , November 2022, Pages 550-568

https://doi.org/10.22105/dmor.2021.270706.1309

Abstract
  Purpose: The purpose of this research is to identify and prioritize international markets entry strategies in plastics industry.Methodology: The research method of the study is explorative-descriptive and its statistical population includes managers and officers working in small and medium-sized enterprises ...  Read More

original-application paper Data Envelopment Analyses
Measuring partial and total factor productivity of the country's economic sectors

Mohammad Khodabakhshi; Zahra Cheraghali

Volume 7, Issue 4 , November 2022, Pages 569-580

https://doi.org/10.22105/dmor.2021.279861.1352

Abstract
  Purpose: Due to the importance of productivity index in the economy, in this article we will discuss the different approaches that are used to measure partial and total factor productivity.Methodology: In all economic and social organizations and systems, the concept of productivity is very important ...  Read More

Original Article Data Envelopment Analyses
Financial bankruptcy forecasting model with a two-tier approach in data envelopment analysis with semi-positive and negative indicators

Mojtaba Karimi Pashaki; Mahnaz Ahadzadeh Namin

Volume 7, Issue 4 , November 2022, Pages 581-595

https://doi.org/10.22105/dmor.2021.252710.1235

Abstract
  Purpose: For managers, investors and creditors, it is important to be aware of the continuity of the company. To this end, financial researchers are looking for effective methods to evaluate the company's performance and predict the continuation of its activities in the coming years.Methodology: In previous ...  Read More

Original Article Data Envelopment Analyses
Two-level efficiency evaluation of centralized star networks

Mohammad Afzalinejad; Neda Afzalinejad

Volume 7, Issue 4 , November 2022, Pages 596-609

https://doi.org/10.22105/dmor.2021.266696.1300

Abstract
  Purpose: The paper addresses the star network structures with centralized management and provides models for evaluating the performance of such structures. Despite the wide range of applications and importance, such structures have not been studied in data envelopment analysis before.Methodology: The ...  Read More

original-application paper Data Envelopment Analyses
Provide an optimal model for determining and ranking inefficiency factors in the banking industry by combining data envelopment analysis and neural network

Gholamreza Panahandeh Khojin; Abbas Toloie Ashlaghi; Mohamad Ali Afshar Kazmi

Volume 7, Issue 4 , November 2022, Pages 610-627

https://doi.org/10.22105/dmor.2021.246994.1211

Abstract
  The purpose of this study is to combine two methods of data envelopment analysis and neural network in order to provide an optimal model for ranking inefficiency factors in the Iranian banking industry. First, through the study of theoretical foundations and interviews with banking experts, efficiency ...  Read More

Original Article Data Envelopment Analyses
Structure of Data Envelopment Analysis with Intuitionistic Fuzzy Data (Case Study: Evaluation of Safety-Based Performance in Construction Projects)

Zeynab Latifi; Neda Pouyan

Volume 7, Issue 4 , November 2022, Pages 628-647

https://doi.org/10.22105/dmor.2021.296432.1452

Abstract
  Purpose: Data Envelopment Analysis, one of the keys subfields in mathematical planning, has found a prominent role in evaluating the efficiency of decision making units in various fields. Methodology: In this research, after analysis and initial processing, based on studies, a parametric and efficient ...  Read More

Original Article
Developing a Multi-Product Economic Order Quantity Model with Necessary Simultaneous Orders for Imperfect Quality Items

Pegah Farhangian; Hadi Mokhtari

Volume 7, Issue 4 , November 2022, Pages 648-665

https://doi.org/10.22105/dmor.2021.280972.1362

Abstract
  Purpose: The classic model of economic order quantity was introduced several decades ago to reduce inventory costs in companies and has since been widely used in various areas of inventory control. In recent years, researchers have developed various aspects of the EOQ model; Because the classic EOQ model ...  Read More

Combinatorial Optimization
A Heuristic Algorithm to Solve a Layout Problem of Sea Containers

MohammadSaviz Asadilari; Fariborz Jolai; Reza Tavakkoli-Moghaddam; Jafar Razmi

Volume 6, Issue 1 , 2021, , Pages 1-24

https://doi.org/10.22105/dmor.2021.271733.1318

Abstract
  By increasing the use of container transportation, one of the existing problems is the constant capacity of container terminals due to problems, such as lengthy construction process, lack of budget and space to build new locations, as well as lack of manpower. Also, this constant capacity leads to problems ...  Read More

stochastic/Probabilistic/fuzzy/dynamic modeling
Provide a hybrid model of two production scheduling objectives, with limited resources with a preventive maintenance approach

Mohamad Sharifzadegan; Tahmourth Sohrabi; Ahmad Jafarnejad Chaghoshi,

Volume 6, Special Issue , January 2022, , Pages 1-17

https://doi.org/10.22105/dmor.2021.278207.1343

Abstract
  Purpose: The complex conditions prevailing in the industries and the increasing costs of production equipment and machinery and competitiveness in gaining market share, show the role and importance of production planning and maintenance with other parts of the industry. Integrating such decisions can ...  Read More

Identifying and Prioritizing Challenges of Implementing Blockchain Technology in the Supply Chain: A Bayesian BWM Group-Based Approach

Seyyedeh Fatemeh Aghajani Mir; Fatemeh Zahra Rajabi kafshgar; Alireza Arab

Volume 6, Issue 4 , March 2022, , Pages 464-483

https://doi.org/10.22105/dmor.2021.277066.1336

Abstract
  Purpose: Today, the advent of blockchain technology has changed the way businesses do business, the size and scope of different organizations. One of these areas is the supply chain, which has many stakeholders, and blockchain, with its unique features, effectively responds to the various challenges ...  Read More

Management and operational budgeting
Forecasting of the number of cases and deaths due to corona disease using neuro-fuzzy networks

Malihe Niksirat; Seyed Hadi Nasseri

Volume 5, Issue 4 , February 2021, , Pages 414-425

https://doi.org/10.22105/dmor.2020.236967.1164

Abstract
  Corona is currently the world's health crisis and the biggest challenge humans have experienced since World War II. Given the epidemic of the disease, it is invaluable to forecasting the number of cases and the resulting deaths to better understand the current situation and provide a short-term plan ...  Read More

meta-heuristic algorithms
Predicting the optimal stock portfolio approach of meta-heuristic algorithm and Markov decision process

Sasmiran Khaje zadeh; Shadi Shahverdiani; amir Daneshvar; Mahdi Madanchi zaj

Volume 5, Issue 4 , February 2021, , Pages 426-445

https://doi.org/10.22105/dmor.2020.239616.1183

Abstract
  One of the most attractive areas for decision-making in the face of uncertainty is optimal stock portfolio. In decision making for investment, two factors are very important and are the basis of investment. These two factors are risk and return, and in this regard, the study and study of investors to ...  Read More

Original Article Scheduling Modeling
Multi-objective Optimization of the U-shaped Assembly line ‎Balancing and Worker Assignment Considering Setup-Times ‎and Workers' Skill

Ali Husseinzadeh Kashan; Saeed Afkhami; Parisa Maroofkhani

Articles in Press, Accepted Manuscript, Available Online from 14 September 2021

https://doi.org/10.22105/dmor.2021.281601.1376

Abstract
  Assembly lines are continuous systems, which are important not only in the mass production of ‎high-quality products but also in low volume production of customized products. Nowadays ‎because of increasing global competition and the rapid expansion of technology, assembly line ‎balancing ...  Read More

Original Article Scheduling Modeling
Modeling and Solving Dual Resource Constrained Flexible Job-Shop Scheduling Problem considering Machine Breakdown

Parham Soofi; Mehdi Yazdani; Maghsoud Amiri; Mohammad Amin Adibi

Articles in Press, Accepted Manuscript, Available Online from 16 November 2021

https://doi.org/10.22105/dmor.2021.271200.1315

Abstract
  Purpose: One of the most important issues in the field of production scheduling, which has recently received much attention from researchers, is Dual Resource Constrained Flexible Job Shop Scheduling Problem (DRCFJSP). To deal with unexpected disruptions such as machine breakdowns, the job schedule must ...  Read More

Original Article supply chain management analyzing/modelling
Provide a model for assessing supply chain Antifragility; Case study: Darupakhsh Company

Mohammad Mehdi Rahimian Asl; Mohammad Hassan Maleki

Articles in Press, Accepted Manuscript, Available Online from 25 November 2021

https://doi.org/10.22105/dmor.2021.309182.1494

Abstract
  The purpose of this paper to evaluate the level of antifragility in the supply chain of a Daroopakhsh company. To improve the company's competitive position and Confrontation to disruptions and breakdowns, the supply chain must move towards antifragility. Accordingly, the supply chain, in addition to ...  Read More

Original Article Optimization in science and engineering
An Improved Meta-Heuristic Algorithm to Optimize the Fractional-order Controller for an Industrial Manipulator with a Parallelogram Structure

Nazila Nikdel

Articles in Press, Accepted Manuscript, Available Online from 28 December 2021

https://doi.org/10.22105/dmor.2021.308886.1492

Abstract
  Purpose: Nowadays, robotic systems are widely used in advanced industrial operations. Therefore, making appropriate control decisions to ensure the efficiency of these systems is critical. An appropriate controller should be proposed to ensure effective industrial operations by satisfying desired performance ...  Read More

Original Article stochastic/Probabilistic/fuzzy/dynamic modeling
Newsboy Problem with Outsourcing, Limited Capacity and Resalable Return

Arezoo Khazaei; Parvaneh Samouei

Articles in Press, Accepted Manuscript, Available Online from 26 August 2021

https://doi.org/10.22105/dmor.2021.266283.1298

Abstract
  The newsboy problem is one of the high usage and important models in the field of inventory control. Due to the importance of the subject, this study examines the newsboy problem by considering the conditions of outsourcing and returned Products and limited capacity and single products, with the aim ...  Read More

Original Article Decision based on Neural Networks/ Deep Learning
Identifying Factors and Forecasting Customer Loyalty- Using Confirmatory Factors Analysis and Artificial Neural Network Modeling

mohamad ali khatami; Mona Jahangir zade; Amir Mazyaki; seyed soheil fazeli

Articles in Press, Accepted Manuscript, Available Online from 01 December 2021

https://doi.org/10.22105/dmor.2021.299446.1468

Abstract
  Purpose: Nowadays insurance companies, same as other companies, are facing massive competition. This issue indicates the value of customer loyalty also a predictive model. Customers play a crucial role in the sustainability of organizations by constant repurchasing. Companies with loyal customers have ...  Read More

original-application paper supply chain management analyzing/modelling
A robust possibilistic programming approach to design a comprehensive blood supply chain based on the ABO-RH index

taher kouchaki tajani; Ali Mohtashami; Maghsoud Amiri; Reza Ehtesham Rasi

Articles in Press, Accepted Manuscript, Available Online from 15 July 2021

https://doi.org/10.22105/dmor.2021.254819.1257

Abstract
  Purpose: This paper aimed to design a Robust blood supply chain model that includes the stages of collection, processing and distribution of blood and blood products taking into account the lifespan and age of demand, which seeks to reduce supply chain costs and reduce the shortage and waste of blood ...  Read More

Original Article Data Envelopment Analyses
Sustainability Performance Analysis with Different Forms of Weak Disposability of Undesirable Outputs: A Case Study of Provincial Gas Companies

Somayye Karimi Omshi; Sohrab Kordrostami; Alireza Amirteimoori; Armin Ghane Kanafi

Articles in Press, Accepted Manuscript, Available Online from 06 October 2021

https://doi.org/10.22105/dmor.2021.267035.1301

Abstract
  Purpose: In the most investigations of sustainability, including environmental, social and economic issues, in addition to the desirable outputs, undesirable outputs are also presented, which is an obstacle to sustainable development. In this regard, the purpose of this paper is providing an approach ...  Read More

Original Article Robust optimization
modeling and solving the multi-objective robust facilities layout under uncertainty with multi-objective meta-heuristic algorithms

Amin Ghaseminejad; mohammad Fallah; Hamed Kazemipoor

Articles in Press, Accepted Manuscript, Available Online from 24 November 2021

https://doi.org/10.22105/dmor.2021.289735.1418

Abstract
  The present paper deals with modeling and solving a multi-objective problem of robust facility layout in conditions of uncertainty with NSGA II, MOPSO and MOGWO algorithms. Since the problem of facility layout is NP-Hard, the need to use meta-algorithms by providing a suitable chromosome to achieve near-optimal ...  Read More

original-application paper Strategic Planing
A Model for Gaining Competitive Advantage in Iranian Export Companies Based on Organizational Ambidexterity and Absorptive Capacity

narjes bossaghzadeh; mahmoud moradi; mohammad tamimi

Articles in Press, Accepted Manuscript, Available Online from 01 December 2021

https://doi.org/10.22105/dmor.2021.309305.1497

Abstract
  Despite the growing importance of the role of knowledge in promoting innovation performance and maintaining competitive advantage in a highly competitive global environment, organizations face many difficulties in utilizing and developing the external knowledge flow infrastructure. Promoting organizational ...  Read More

Original Article Decision based on Neural Networks/ Deep Learning
Provide a suitable model for identifying the factors affecting the equipping of banking resources by artificial neural network method

Yousef Ebrahimi; Yagoub Alavi Matin; Sahar Khoshfetrat; Hasan Refaghat

Articles in Press, Accepted Manuscript, Available Online from 16 January 2022

https://doi.org/10.22105/dmor.2022.301155.1473

Abstract
  Purpose: Banks as a service and financial economic enterprise, while accompanying the economic programs of countries, seek to benefit their stakeholders. In order to achieve this goal, they must be able to equip and allocate their resources optimally. One of the important issues is to identify the factors ...  Read More

Original Article Game Theory
Modeling of Short-Term financial transmission rights in a secondary auction market using game theory

Mohamad Tabrizian; Hosein Seifi; MohamadKazem Sheikh-al-Eslami; Hamidreza Shahmirzad

Articles in Press, Accepted Manuscript, Available Online from 25 January 2022

https://doi.org/10.22105/dmor.2022.305248.1486

Abstract
  Congestion risk management is one of the most important issues in a restructured power system. The financial transmission right (FTR) is an accepted tool for transmission congestion risk management in local pricing based electricity markets. This paper uses the game theory to analyze the short-term (weekly) ...  Read More

Original Article Scheduling Modeling
Presenting a Model for Solving Lot-streaming Hybrid Flow Shop Scheduling Problem by Considering Independent Setup time and Transportation Time

Roja Ruhbakhsh; ٍEsmaeil Mehdizadeh; Mohammad Amin Adibi

Articles in Press, Accepted Manuscript, Available Online from 07 February 2022

https://doi.org/10.22105/dmor.2022.296154.1450

Abstract
  Lot streaming, which has much attention in recent years, is an effective technique to increase production efficiency in a production system by splitting a job into several smaller parts in a multi-stage production system. But important assumptions that exist in the real-world scheduling environment are ...  Read More

original-application paper Multi-Attribute Decision Making
Developing a hybrid model for comparative analysis of financial data clustering algorithms

Mojtaba Movahedi; Mahdi Homayounfar; Mehdi Fadaei; Mansour Soufi

Articles in Press, Accepted Manuscript, Available Online from 20 February 2022

https://doi.org/10.22105/dmor.2022.296982.1453

Abstract
  Purpose: Clustering algorithms are useful tools for understanding data structure and classifying them into different data sets. Due to the importance of using these algorithms in analyzing financial market data that have a high volume and scope, this study in order to select the best clustering algorithm ...  Read More

Original Article stochastic/Probabilistic/fuzzy/dynamic modeling
A new approach to the geometric modeling of Iranian domes

Akbar Dehghan Nezhad; Nasim Daryani

Articles in Press, Accepted Manuscript, Available Online from 23 February 2022

https://doi.org/10.22105/dmor.2022.306604.1487

Abstract
  In Islamic Architecture, one of the most popular ways for building a dome was using arches. So, if we want to investigate the construction of a dome of a shrine or a masque, we should first investigate the generating arch of it. In architectural manner, a dome is built by rotating the generating arc ...  Read More

Original Article Data mining and related topics
A novel machine learning approach for portfolio optimization

Saman Haratizadeh; Fatemeh Rezaee

Articles in Press, Accepted Manuscript, Available Online from 28 February 2022

https://doi.org/10.22105/dmor.2022.307005.1488

Abstract
  Purpose: Selection of the best stocks for the portfolio as well as allocating the optimal amount of capital per stock in the portfolio are serious challenges in stock market investment. In many studies, advanced machine learning methods have been used to select stocks for the portfolio, but machine ...  Read More

original-application paper stochastic/Probabilistic/fuzzy/dynamic modeling
Forecasting of Covid-19 sixth peak in Iran based on Singular Spectrum Analysis (SSA)

morteza abdolhosseini

Articles in Press, Accepted Manuscript, Available Online from 03 March 2022

https://doi.org/10.22105/dmor.2022.312966.1517

Abstract
  Purpose: Coronavirus (Covid-19) is a pandemic that has affected all countries of the world. Forecasting the spread of corona disease will lead to the necessary measures to be taken by the authorities to control this disease. These include increasing vaccinations, quarantining cities and banning entry ...  Read More

Original Article Location Modeling
A two-stage stochastic programming approach to design a resilient pharmaceutical supply chain network: a case study of COVID-19

Alireza Roshani; Mohammad Reza Gholamian; Mahsa Arabi

Articles in Press, Accepted Manuscript, Available Online from 13 March 2022

https://doi.org/10.22105/dmor.2022.315105.1527

Abstract
  Purpose: Due to the increasing complexity of uncertainty and its impact on the supply chain network, many researchers have resorted to coping approaches with data uncertainty. In addition, the occurrence of any disruption in the supply chain networks can cause irreparable damage. Therefore, adopting ...  Read More

Original Article Multi-Attribute Decision Making
Using combinational method DEMATEL and ANP with the fuzzy approach to Prioritization of Learning Organization Criteria in Iranian Schools

Sahar Esmaeili; Kiamars Fathi Hafshejani; Changiz Valmohammadi; Ali Akbar Haddadi Harandi

Articles in Press, Accepted Manuscript, Available Online from 28 March 2022

https://doi.org/10.22105/dmor.2022.313801.1521

Abstract
  Purpose: This article seeks to provide a flexible structure for the learning organization tailored to the conditions of Iranian schools. Using this structure, schools, as an educational organization, facilitate innovation and effectiveness in the face of an ever-changing environment. Also, teaching ...  Read More

Original Article Forecasting Models/ Time Series
Generalization of Stochastic Mortality Models to Improve Mortality Prediction in Life Insurance and Pension Funds

Shirin Shoaee; Mohammad Mehdi Gholi Keshmarzi

Articles in Press, Accepted Manuscript, Available Online from 28 March 2022

https://doi.org/10.22105/dmor.2022.312595.1515

Abstract
  Purpose: Mortality is a dynamic process that completes over time and is a fundamental issue in life insurance, pension fund, health insurance, and in general any issue related to financial planning that deals with the longevity of individuals. Therefore, the accuracy of mathematical models in predicting ...  Read More

original-application paper Fuzzy Optimization
Service Pattern Modification by Considering Social Distancing under Uncertainty Conditions

Malihe Niksirat

Articles in Press, Accepted Manuscript, Available Online from 28 March 2022

https://doi.org/10.22105/dmor.2022.323398.1551

Abstract
  Purpose: During the Corona virus epidemic and in order to comply with the rules of social distancing, public transport operators have to operate with less capacity. Because demand may be overcapacity in different areas at different times of the day, drivers are forced to refrain from serving passengers ...  Read More

original-application paper Linear Optimization
Optimal Multi-Period Portfolio Selection with Different Investment Horizons Using Uncertainty Theory

Younes nozarpour; sayyed mohammad reza davoodi; Mahdi fadaee

Articles in Press, Accepted Manuscript, Available Online from 18 April 2022

https://doi.org/10.22105/dmor.2022.322209.1547

Abstract
  Purpose: The multi-period portfolio after closing, can be reviewed and modified at regular intervals. The philosophy behind using multi-period stock portfolio models is that investors often have a multi-period view of future asset changes that can be derived from technical, fundamental, or statistical ...  Read More

Original Article Forecasting Models/ Time Series
Proposing a new class of statistical reliability-based methods for modeling and decision-making

Sepideh Etemadi; Mehdi Khashei

Articles in Press, Accepted Manuscript, Available Online from 30 April 2022

https://doi.org/10.22105/dmor.2022.311692.1514

Abstract
  Purpose: The purpose of this paper is to present a new methodology for statistical modeling, which, unlike all commonly developed models and algorithms, maximizes the reliability of the results instead of the resulting accuracy. Accordingly, a new class of statistical modeling approaches has been developed ...  Read More

Original Article Robust optimization
Development of A Robust Multi-Objective Model for Green Capacitated Location-Routing Under Crisis Conditions with Time Value of Money

shima Roosta; Seyed Milad Mirnajafi Zadeh; Hamid Bazargan Harandi

Articles in Press, Accepted Manuscript, Available Online from 11 June 2022

https://doi.org/10.22105/dmor.2022.339941.1603

Abstract
  Location-Routing Problem (LRP) is a strategic supply chain design problem aimed at meeting customer demands. LRPs involve selecting one or more depot sites from a set of potential locations and determining the best routes to connect them to demand points. With the rising awareness about the environmental ...  Read More

Original Article Game Theory
A game-theoretic approach to set prices concerning a product manufactured from plastic waste

Hamed Jafari

Articles in Press, Accepted Manuscript, Available Online from 21 June 2022

https://doi.org/10.22105/dmor.2022.328788.1565

Abstract
  Purpose: Consider products such as disposable tableware manufacturerd from plastic waste. To produce these products, plastic waste is collected and recycled, and then is reused. In this research, a supply chain including waste depot, recycler, and manufacturer is considered in which plastic waste is ...  Read More

Original Article simulation techniques and expert systems
An Agent-based Model of Patient Flow to Improve Operating Room Efficiency

Seyedeh Raahil Mousavi; Seyed Esmaeil Najafi; Mohammad Mehdi Sepehri

Articles in Press, Accepted Manuscript, Available Online from 05 July 2022

https://doi.org/10.22105/dmor.2022.331167.1576

Abstract
  Purpose: High efficiency in the operating room may significantly improve the overall performance of the hospital and the service quality provided to patients. The operating room is the de facto financial hub of the hospital and maximizing its efficiency may lead to considerable improvements. Studies ...  Read More

Original Article Fuzzy Optimization
A two-phase parametric approach for solving flexible fuzzy transportation problem

Gohar shakouri; Seyed Hadi Nassery; Mohammad Mahdi Paydar

Articles in Press, Accepted Manuscript, Available Online from 29 July 2022

https://doi.org/10.22105/dmor.2022.309494.1499

Abstract
  Purpose: The transportation problem, as one of the most important and most practical models related to linear programming, has always been of interest to researchers. Due to the lack of accurate information, variable economic conditions, uncontrollable factors and especially variable conditions of available ...  Read More

original-application paper Multi-Attribute Decision Making
Investigating the blockchain technologies influences the performance of road freight transportation management systems using the network analysis technique

Ahmad Negravi; Omid Titidezh

Articles in Press, Accepted Manuscript, Available Online from 16 August 2022

https://doi.org/10.22105/dmor.2022.324651.1556

Abstract
  Purpose: This study seeks to assess the significant effects of blockchain, as a new decentralized technology, in waste reduction and performance improvement of freight transportation management systems (FTMS). Methodology: The network analysis technique is used as one of the most valid multi-criteria ...  Read More

original-application paper
Designing a Model of Mutual Expectations in the Relationship Between the Person and The Organization (Person as a Client) In Governmental Organizations and Service Providers in Isfahan Based on The Phenomenological Approach using the Dematel method

Abbas Nosouhi; Akbar Etebarian; Mehraban Hadi Peykani

Articles in Press, Accepted Manuscript, Available Online from 27 August 2022

https://doi.org/10.22105/dmor.2022.322254.1548

Abstract
  Abstract Purpose: This study is conducted to design a model of mutual expectations in the relationship between the individual and the organization (Person as a client) in Isfahan's government organizations and service providers based on the phenomenological approach. Methodology: The purpose of ...  Read More

Original Article Robust optimization
Developing an Efficient Algorithm for Robust School Bus Routing with Heterogeneous Fleet

Mohamad A. Movafaghpour

Articles in Press, Accepted Manuscript, Available Online from 29 August 2022

https://doi.org/10.22105/dmor.2022.335870.1595

Abstract
  In many Real-world optimization problems, we are facing uncertainties in parameters describing the problem. In general, as a simplifying assumption, uncertainty is ignored. In the school bus routing problem there are uncertain parameters that are assumed to have deterministic values. As a result of this ...  Read More

Original Article stochastic/Probabilistic/fuzzy/dynamic modeling
Providing the reliable location-allocation model in the humanitarian supply chain network using combined transport and the application of Possibilistic-Robust programming

Alireza Hamidieh; maryam besharat meymandi

Articles in Press, Accepted Manuscript, Available Online from 31 August 2022

https://doi.org/10.22105/dmor.2022.327117.1560

Abstract
  Purpose: The main challenge in devastating events such as the Kermanshah earthquake is the optimal location of humanitarian distribution centers, which plays an effective role in allocating relief shipments to demand centers. Therefore, balancing the complexity of the issue and the uncertainty with the ...  Read More

original-application paper Data Envelopment Analyses
Assets Performance Evaluation with the use of Returns Distribution Characteristics

Maasoumeh Mirsadeghpour; masoud sanei; Ghasem Tohidi; Shokoofeh Banihashemi; navideh Modarresi

Articles in Press, Accepted Manuscript, Available Online from 13 September 2022

https://doi.org/10.22105/dmor.2022.332170.1587

Abstract
  Purpose: Portfolio optimization is a selection of assets with the lowest risk and highest return. Asset performance evaluation is a useful way to choose assets and construct a profitable portfolio. For this purpose, the non-parametric Data Envelopment Analysis (DEA) method is used which is a suitable ...  Read More

Original Article Optimization in science and engineering
A Mathematical Optimization Model for Allocating Physical Spaces to Academic Requirements

Zeynab Rashidi; Zahra Rashidi

Articles in Press, Accepted Manuscript, Available Online from 20 September 2022

https://doi.org/10.22105/dmor.2022.328065.1563

Abstract
  Purpose: The issue of allocating space to academic needs is one of the complex optimization issues that distributes a limited set of educational and research needs to a set of resources with a set of constraints. Due to the complexity of this problem, several techniques based on innovative methods have ...  Read More

original-application paper Decision based on Soft Computing
Stock ranking of companies in the three metals, chemical and pharmaceutical industries with a combined approach of Fuzzy SWARA and COCOSO

Hamzeh Amin-Tahmasbi; Mahdi, Alireza

Articles in Press, Accepted Manuscript, Available Online from 18 October 2022

https://doi.org/10.22105/dmor.2022.336294.1597

Abstract
  Purpose: Deciding to choose stocks has always been one of the concerns of investors. The main purpose of this study is to identify the factors affecting the decision-making and ranking of stocks in the three metal, chemical and pharmaceutical industries of the stock exchange according to the importance ...  Read More

original-application paper Multi-Attribute Decision Making
Analysis of players and scenarios of the Iranian aluminum industry with a combination of fuzzy DEMATEL and game theory

Maryam Musavi-Nogholi; Mohammad Taghi Rezvan

Articles in Press, Accepted Manuscript, Available Online from 27 October 2022

https://doi.org/10.22105/dmor.2022.343396.1612

Abstract
  Purpose: The purpose is to identify and analyze the upcoming scenarios of the aluminum industry and finally, its market analysis, to draw a correct vision of the future and choose the appropriate strategy in this industry. Methodology: Firstly, the key variables affecting the development of the aluminum ...  Read More

Original Article
Investigating Financial Efficiency in Steel Industry Companies: Evidence from Three-Dimensional DEA Approach

Kasra Ghafori

Articles in Press, Accepted Manuscript, Available Online from 03 November 2022

https://doi.org/10.22105/dmor.2022.361244.1663

Abstract
  In general, efficiency is a criterion for evaluating the performance of a decision unit from different dimensions. Data envelopment analysis is a mathematical programming method for evaluating the performance of decision-making units. The purpose of this study is to measure the financial efficiency of ...  Read More

original-application paper Multi-Attribute Decision Making
Ranking the methods to Improve Asset-Liability Management in Commercial Banks of Iran Using the Hybrid MCDM Approach (Case Study: Tehran Branches of Bank Sepah)

Seyed Fakhreddin, Fakhrhosseini; Meysam Kaviani

Articles in Press, Accepted Manuscript, Available Online from 11 December 2022

https://doi.org/10.22105/dmor.2022.335597.1593

Abstract
  Purpose: The main objective of this study is to rank methods of improving debt-asset management at branches of Bank Sepah in Tehran. Methodology: Questionnaires were the tool to collect data, and statistical sample is 146 managers and experts of Bank Sepah in Tehran that have been selected by the simple ...  Read More

Original Article Game Theory
A game-theoretic approach to select a channel for supplying required materials in producing a product manufactured from recyclables

Hamed Jafari

Articles in Press, Accepted Manuscript, Available Online from 01 January 2023

https://doi.org/10.22105/dmor.2023.353181.1644

Abstract
  Purpose: In this research, a recyclable waste is used to manufacture a specific product. For this reason, a supply chain is considered containing manufacturer, recycler, and waste warehouse. First, the customers’ demand for the considered product is determined based on its price. Then, the manufacturer ...  Read More

original-application paper stochastic/Probabilistic/fuzzy/dynamic modeling
Multi-objective mathematical modeling focused on hotel revenue and passenger cost by NSGA-II and MOPSO

Mohammad-Saviz Asadi-Lari,; Maryam Abbasghorbani; reza Tavakkoli-Moghaddam

Articles in Press, Accepted Manuscript, Available Online from 11 January 2023

https://doi.org/10.22105/dmor.2023.361666.1691

Abstract
  The hotel industry has become a competitive industry at the international level in recent decades, and countries have tended to use developed models and new techniques, and provide innovations to maximize income from it. As a result, it is critical to pay attention to how we can manage hotel income while ...  Read More

original-application paper Data Envelopment Analyses
An Approach Based on Double-Frontier DEA for Determining Priorities and Obtaining Weights in AHP

Hossein Azizi

Articles in Press, Accepted Manuscript, Available Online from 11 January 2023

https://doi.org/10.22105/dmor.2023.350085.1630

Abstract
  Purpose: The analytic hierarchy process (AHP) is a multiple criteria decision-making method extensively used in various fields. Prioritization of decision criteria or alternatives from pairwise comparison matrices in AHP has been studied extensively. This article proposed the “Double-Frontier DEA” ...  Read More

original-application paper Strategic Planing
A mixed integer linear programming model for fish farming scheduling in different chains and customers demand management

Sajad Moradi

Articles in Press, Accepted Manuscript, Available Online from 22 January 2023

https://doi.org/10.22105/dmor.2023.336060.1596

Abstract
  This article studies an issue in the fish farming industry in which the goal is to find the best multi-period planning for handling various chains, including ordering, breeding, and selling of trout over a time horizon. In this study, a new formulation is presented as a mixed integer linear programming ...  Read More

Original Article Data Envelopment Analyses
Performance Measurement in Data Envelopment Analysis: A BCC-based Approach

azam pourhabibyekta; Mahnaz Maghbouli

Articles in Press, Accepted Manuscript, Available Online from 28 January 2023

https://doi.org/10.22105/dmor.2023.350160.1631

Abstract
  Data Envelopment Analysis (DEA) has been proven as a useful non-parametric method for assessing a set of Decision Making Units (DMUs). Standard Models of DEA assume an optimal set of input and output weights to represent the assessed DMU in the best light in comparison to all other DMUs. Unfortunately, ...  Read More

Original Article Mathematical Optimization Models
Investigating Behavioral Economics in Tax Evasion Decision Making Phenomenon: A Tax Crime Scenario Approach

Najme esmaeil Darjani; ahmad assadzadeh; mohamad mehdi barghi oskoei

Articles in Press, Accepted Manuscript, Available Online from 30 January 2023

https://doi.org/10.22105/dmor.2023.345401.1615

Abstract
  Purpose: Most of the tax policies are based on the way taxpayers make decisions according to classical economic models. However, studies show that the conventional decision-making models, which are designed without the social-psychology foundations and only based on economic components, cannot express ...  Read More

Original Article supply chain management analyzing/modelling
A sustaiable, reliable model for iron and steel closed-loop network design by considering risk , lateral transmission and solving by developing a multi objective planning method

hamid saffari; morteza abbasi; Jafar Gheidar-Kheljani

Articles in Press, Accepted Manuscript, Available Online from 06 February 2023

https://doi.org/10.22105/dmor.2022.331970.1583

Abstract
  Purpose This research proposes a multi-objective and robust model considering both cost and risks related to the environment (water consumption and environmental pollution), social responsibility (working conditions and employee health), operations (change in demand and return rates), and disruption ...  Read More

stochastic/Probabilistic/fuzzy/dynamic modeling
Parametric Estimation of Empirical Bayes of Traffic Intensity in M/M/1 Queue System

Ahmad Poordarvish; bahador hoseini

Volume 2, Issue 3 , March 2018, , Pages 195-204

https://doi.org/10.22105/dmor.2018.58264

Abstract
  Armero and Bayarri get Bayesian estimation from traffic intensity in M/M/1 model in 1994. Sharma and Kumar get Bayesian and classical estimations of different parameters of M/M/1 model under loss function in 1999. Furthermore, use of classical methods to estimate unknown parameters of previous distribution ...  Read More

Network Optimization
The optimistic super-peer selection in P2P Network using SG-2 algorithm

Javad Pourqasem; Soheil Fakheri

Volume 4, Issue 3 , December 2019, , Pages 221-231

https://doi.org/10.22105/dmor.2019.183415.1114

Abstract
  Peer-to-peer (P2P) systems have grown significantly in recent years due to the ability to share multiple resources. ​​Using the super-peer nodes in peer-to-peer networks has increased the efficiency of these networks. The main problem in these systems is the selection of high-capacity nodes as the ...  Read More

Linear Optimization
Solution space of interval linear programming model by new approach

Mehdi Allahdadi; Hasan Mishmast Nehi

Volume 2, Issue 3 , March 2018, , Pages 228-235

https://doi.org/10.22105/dmor.2018.54757

Abstract
  In this paper, solution space of interval linear programming (ILP) models that is a NP-hard problem, has been considered. In all of the solving methods of the ILP, feasibility condition has been only considered. Best-worst case (BWC) is one of the methods for solving the ILP models. Some of the solutions ...  Read More

Data Envelopment Analyses
Analysis of large projects based on sustainability dimensions and with an agility approach using data envelopment analysis; case study of large projects of Isfahan Municipality

Ahmad Reza Tahanian; Hasan Haleh; Farhad Etebari; Behnam Vahdani

Volume 6, Issue 3 , December 2021, , Pages 382-407

https://doi.org/10.22105/dmor.2021.254777.1244

Abstract
  Purpose: The current study aims to provide a framework for evaluating the large projects based on the sustainability dimensions and with agility approach using data envelopment analysis.Methodology: To this end, sustainability indicators, agility indices in project management and project management critical ...  Read More

Management and operational budgeting
Forecasting of the number of cases and deaths due to corona disease using neuro-fuzzy networks

Malihe Niksirat; Seyed Hadi Nasseri

Volume 5, Issue 4 , February 2021, , Pages 414-425

https://doi.org/10.22105/dmor.2020.236967.1164

Abstract
  Corona is currently the world's health crisis and the biggest challenge humans have experienced since World War II. Given the epidemic of the disease, it is invaluable to forecasting the number of cases and the resulting deaths to better understand the current situation and provide a short-term plan ...  Read More

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