Volume 7 (2022)
Volume 6 (2021)
Volume 5 (2020)
Volume 4 (2019)
Volume 3 (2018)
Volume 2 (2017)
Volume 1 (2016)

Facts and Figures

Number of Volumes 8
Number of Issues 29
Number of Articles 271
Number of Contributors 602
Article View 176,645
PDF Download 108,516
View Per Article 651.83
PDF Download Per Article 400.43
Number of Submissions 797
Rejected Submissions 472
Accepted Submissions 254
Acceptance Rate 32
Peer Review Process 95
Number of Indexing Databases 14
Number of Reviewers 795

Ministry of Science, Research and Technology

 

 

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مگیران

 

 

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 Q2 with IF 0.143.

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

Volume 8, Issue 2 , September 2023, Pages 283-306

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

Abstract
  Purpose: In this research due to the importance of the U-shaped assembly line balancing and, on the other hand, the importance of human factors and setup times, we want to develop a bi-objective mathematical model minimize the cycle time and the total cost.Methodology: Since the research problem is shown ...  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

Volume 8, Issue 2 , September 2023, Pages 307-332

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

Abstract
  Purpose: 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 ...  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

Volume 8, Issue 2 , September 2023, Pages 333-351

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. Criteria such as operation time and response speed, control cost, and system error need to be controlled by providing ...  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

Volume 8, Issue 2 , September 2023, Pages 352-369

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 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

Volume 8, Issue 2 , September 2023, Pages 370-390

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

Abstract
  Purpose: 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 ...  Read More

Original Article stochastic/Probabilistic/fuzzy/dynamic modeling
Newsboy problem with outsourcing, limited capacity and resalable return

Arezoo Khazaei; Parvaneh Samouei

Volume 8, Issue 2 , September 2023, Pages 391-402

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

Abstract
  Purpose: The newsboy problem is one of the most widely used and important models in the field of inventory control. In fact, there are many industries whose products fall into the category of newosboy problem, such as seasonal goods, food products. But in practice there are more restrictions than the ...  Read More

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

Akbar Dehghan Nezhad; Nasim Daryani

Volume 8, Issue 2 , September 2023, Pages 403-423

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

Abstract
  Purpose: In Islamic architecture, using arches to build dome-shaped buildings has been very common. So, the research on building the domes of shrines and mosques is undoubtedly directed at studying the arches of those buildings. In this article, we will investigate and geometrically model the domes from ...  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

Volume 8, Issue 2 , September 2023, Pages 424-445

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 Game Theory
Modeling of short-term financial transmission rights in a secondary auction market using game theory

Mohammad Tabrizian; Hosein Seifi; Mohamad Kazem Sheikh-al-Eslami; Hamidreza Shahmirzad

Volume 8, Issue 2 , September 2023, Pages 446-462

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

Abstract
  Purpose: Finding the best situation for the expected profit by each of the participants (players) in the secondary auction market of financial congestion transmission rights.Methodology: From the point of view of game theory, finding at least one Nash equilibrium point for this competition takes into ...  Read More

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

Hamed Jafari

Volume 8, Issue 2 , September 2023, Pages 463-477

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

Abstract
  Purpose: The purpose of this paper is to consider products such as disposable tableware produced from plastic waste. In this setting, plastic waste is collected, recycled, and reused. In this research, a supply chain including waste depot, recycler, and manufacturer is considered in which plastic waste ...  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

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

Volume 8, Issue 1 , June 2023, , Pages 133-152

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 human ...  Read More

meta-heuristic algorithms
A new meta-heuristic algorithm: military optimization algorithm (MOA)

Hojatollah Rajabi Moshtaghi; Abbass Toloie-Eshlaghy; Mohammad Reza Motadel

Volume 6, Issue 3 , December 2021, , Pages 304-329

https://doi.org/10.22105/dmor.2021.276125.1333

Abstract
  Purpose: In recent years, meta-heuristic algorithms and their application in solving complicated, nonlinear, and high dimensions problems have increased dramatically and the fact that meta-heuristic algorithms are used to solve complex and changing problems of real life, has caused the algorithms world ...  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 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 learning ...  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-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
  AbstractPurpose: 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 this study ...  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 26 July 1401

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 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

original-application paper Optimization in science and engineering
A robust multi-objective multi-priodic planning approach to the problem of locating the allocation of organ transplant centers under conditions of uncertainty

ELHAM nejati; mahdi yousefi nejad attari; asgar hajibadali

Articles in Press, Accepted Manuscript, Available Online from 14 February 2023

https://doi.org/10.22105/dmor.2023.329218.1567

Abstract
  Purpose: Organ transplantation is one of the most crucial subsets of healthcare systems. Since transplant centers directly deal with surgical operations and human lives, the importance of this topic has been highlighted. Methodology: One of the main differences between the typical supply chain and the ...  Read More

original-application paper Multi-Attribute Decision Making
Improved WASPAS Method for Determining Criteria Priority and Weights in Solving MADM Problems: A Case Study to Determine Leadership Style in Covid-19 Pandemic

Mehdi Soltanifar; Seyyed Mohammad Zargar; Maryamsadat Aman

Articles in Press, Accepted Manuscript, Available Online from 14 February 2023

https://doi.org/10.22105/dmor.2023.345520.1616

Abstract
  Purpose: The purpose of this research is to provide a hybrid and improved version of one of the Multi-Attribute Decision-Making (MADM) methods, which is a more useful tool for decision support due to the constructive interaction with the decision-maker.Methodology: For this purpose, a linear programming ...  Read More

original-application paper Fuzzy Optimization
An Interval valued fuzzy Complex proportional assessment (IVF -COPRAS) method to solve MCDM problem with an application

Mahin Ashouri; Abdollah Hadi-Vencheh; Ali Jamshidi

Articles in Press, Accepted Manuscript, Available Online from 09 March 2023

https://doi.org/10.22105/dmor.2023.339388.1600

Abstract
  One of the challenging and famous types of MCDM (Multiple Criteria Decision Making) problems that includes both quantitative and qualitative criteria is Facility location selection problem. For the common fuzzy MCDM problems (Type-1 fuzzy MCDM problems), the ratings of alternatives with respect to the ...  Read More

Original Article Decision based on Neural Networks/ Deep Learning
Predicting the delisted companies of Tehran Stock Exchange using machine learning based algorithms

Aminollah Zarghami; Meysam Doaei; Abtin Boostani

Articles in Press, Accepted Manuscript, Available Online from 09 March 2023

https://doi.org/10.22105/dmor.2023.340413.1604

Abstract
  Purpose: Delisted companies, despite their importance in the economic and social issues of society, is less considered in the financial literature. This issue is important because for each country, one of the criteria for economic measurement is the size of the capital market. Therefore, the Delisted ...  Read More

Original Article supply chain management analyzing/modelling
Optimization of distribution risk of hazardous materials in the production routing problem

Amirsaman Kheirkhah; Amin Farahbakhsh

Articles in Press, Accepted Manuscript, Available Online from 25 March 2023

https://doi.org/10.22105/dmor.2023.339666.1602

Abstract
  Purpose: The production routing problem is created by combining the two problems of lot sizing and vehicle routing. Previous research has examined the effectiveness of this combination in reducing costs. In this paper, the production routing problem is considered with the aim of minimizing the risk of ...  Read More

Original Article Risk analysis
Rating Supply Chain Risks Using the Combined Approach of FMEA Optimization and Gray Theory (Case Study: Mashhad Food Industry Units)

Mohsen Shafiei Nikabadi; leila helalian

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

https://doi.org/10.22105/dmor.2023.366185.1678

Abstract
  Purpose: The ranking of supply chain risks using a combined approach is to optimize the method of analyzing failure factors and their effects and gray theory in Mashhad food industry units. Methodology: Due to its nature, the present research belongs to the category of descriptive-analytical researches, ...  Read More

Original Article Data Envelopment Analyses
Returns to Scale of Decision-Making Units with Integer-Valued Data in Data Envelopment Analysis

zeinab tavassoli; mohsen Rostami-MalKhalifeh; Farhad Hosseinzadeh Lotfi; Tofigh allahVieanloo

Articles in Press, Accepted Manuscript, Available Online from 27 April 2023

https://doi.org/10.22105/dmor.2023.347569.1622

Abstract
  Purpose: The current paper tries to determine the type of returns to scale in a decision-making unit under the condition that integer-valued inputs or outputs are present. Methodology: This paper introduces radial models for determining the value and type of returns to scale (RTS) in 4 scenarios, including ...  Read More

Original Article supply chain management analyzing/modelling
Presenting a Feasibility Robust Optimization Model for the Design of a Sustainable Supply Chain Network of the Electricity Industry Considering Reliability

Javad Mohammadghasemi; esmaeil najafi; mohammad fallah; mohammad reza nabatchian

Articles in Press, Accepted Manuscript, Available Online from 21 May 2023

https://doi.org/10.22105/dmor.2023.383874.1713

Abstract
  In this paper, the modeling of a sustainable supply chain network of the electricity industry under uncertainty is discussed. The purpose of providing this supply chain network is to meet the customers' demand for solar panels in order to produce clean energy. In this model, important decisions were ...  Read More

Original Article Mathematical Optimization Models
Presenting a one-objective optimization model to determine the reliability of the components of a coherent system

Elham Basiri

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

https://doi.org/10.22105/dmor.2023.314708.1525

Abstract
  Purpose: In this paper, the amount required to increase the reliability of the components of a coherent system is determined, so that the cost of this increase is minimized and the reliability of the whole system is not less than the predetermined value. Methodology: In this research, after introducing ...  Read More

Original Article Non-linear Optimization
Combining Non-monotone Trust Rregion Method with a New Adaptive Radius for Unconstrained Optimization Problems

Seyed Hamzeh Mirzaei; Ali Ashrafi

Articles in Press, Accepted Manuscript, Available Online from 20 June 2023

https://doi.org/10.22105/dmor.2023.368847.1686

Abstract
  Purpose: One of the most effective methods for solving unconstrained optimization problems is the trust region method. The strategy of determining the radius of the trust region has a significant effect on the efficiency of this method. On the other hand, imposing the monotonocity condition will decrease ...  Read More

original-application paper Data Envelopment Analyses
Design an Intelligent Model for Suppliers Productivity Evaluation in Sustainable Supply Chain

Majid Yarahmadi; Saeedeh Sakiniya

Articles in Press, Accepted Manuscript, Available Online from 20 June 2023

https://doi.org/10.22105/dmor.2023.363504.1670

Abstract
  Purpose: In this paper, an intelligent method for applying data envelopment analysis (DEA) for designing a sustainable supply chain is presented. Methodology: In the purposed method, for defuzzification of the ERM model, we used the ■(α)-cutting technique. Then to measure the productivity in ...  Read More

Original Article meta-heuristic algorithms
An integrated multi-objective Model of scheduling and financial flow of production projects and using of Based on genetics meta-heuristic algorithms

sajad janbaz; sayyed mohammad reza davoodi; abdolmajid abdolbaghi

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

https://doi.org/10.22105/dmor.2023.367956.1681

Abstract
  Purpose: The aim of the current research is to present a multi-objective mathematical model with an integrated approach to scheduling and financial flow in production projects using Non-dominated Sorting Genetic Algorithm II (NSGA-II). Methodology: This research presents a multi-objective mathematical ...  Read More

Original Article Decision based on Soft Computing
Identification and interpretive ranking of factors affecting the improvement of agility in Business process management

sadegh hasani moghadam; Mohammad Mahdi mohtadi; hosein bazargani; ali taheri; mohsen miri

Articles in Press, Accepted Manuscript, Available Online from 29 August 2023

https://doi.org/10.22105/dmor.2023.381281.1706

Abstract
  Purpose: The main goal of this study is to present a new model of managing organizational processes that is necessary for agility in complex conditions, and one of its most important requirements is the use of systematic approaches and with a research approach in soft operations in order to design the ...  Read More

original-application paper Strategic Planing
Application of Dynamic Systems Modeling Approach to Rank Optimal Urban Waste Management Strategies Using SWOT Method

mohammadhossein kabgani; hamid shahbandarzadeh

Articles in Press, Accepted Manuscript, Available Online from 03 September 2023

https://doi.org/10.22105/dmor.2023.365208.1673

Abstract
  In a city, there are different sectors in operation and each sector also plays a role in the production of municipal waste, which draws attention to waste management methods. In the present study, a model to identify the factors affecting the production of waste in Bushehr has been explained. Methodology: ...  Read More

Original Article Fuzzy Optimization
The combination of Markowitz mean-variance models with trapezoidal fuzzy efficiency and cross-efficiency data envelopment analysis with network structure in order to find the optimal investment portfolio

Mehrdad Rasoulzadeh; Seyyed Ahmad Edalatpanah; mohammad fallah; esmaeil najafi

Articles in Press, Accepted Manuscript, Available Online from 17 September 2023

https://doi.org/10.22105/dmor.2023.396910.1743

Abstract
  Goal: Increasing the wealth of shareholders is one of the most important goals of financial management. This issue is always intertwined with the two concepts of risk and return at the same time, so that hareholders always seek to increase portfolio return by controlling and minimizing risk, or seeking ...  Read More

Original Article supply chain management analyzing/modelling
Identifying and ranking the circular supply chain implementation challenges using Pythagorean Fuzzy SWARA approach (case of study: pharmaceutical industry of Gilan Province)

samaneh rash; Mostafa Ebrahimpour Azbari; Mohammad Rahim Ramazanian

Articles in Press, Accepted Manuscript, Available Online from 20 September 2023

https://doi.org/10.22105/dmor.2023.392276.1727

Abstract
  Purpose: Commercial and industrial organizations around the world are under severe threat of instability. Unsustainability issues arise because of environmental disturbances such as climate change, global warming, resource scarcity, and ecological degradation. Circular Supply Chain (CSC) has gained momentum ...  Read More

Original Article Mathematical Optimization Models
A multi-objective optimization model to the dynamic facility location in Supply Chain Network design

Ali Abdi; Seyed Hadi Nasseri

Articles in Press, Accepted Manuscript, Available Online from 21 September 2023

https://doi.org/10.22105/dmor.2023.368972.1685

Abstract
  Purpose: One of the fundamental problems in the field of supply chain management is the problem of supply chain design. In this problem, the goal is to determine the location for establishing a number of facilities in different geographical areas to cover the demands of customers. Methodology: In this ...  Read More

Non-linear Optimization
Solving nonlinear optimization via Nelder-Mead optimization method

Azhdar Soleymanpour Bakefayat

Volume 3, Issue 1 , June 2018, , Pages 1-10

https://doi.org/10.22105/dmor.2018.63496

Abstract
  In this paper, A innovative method designed to solving nonlinear optimization problems with convex object function and constrained. In this method, we define an cost function and we find variables to minimization of cost function. For create properly cost function we use K. K. T. optimal conditions. ...  Read More

Optimization in science and engineering
A new robust design optimization model using Taguchi loss function

Amir Parnianifard

Volume 4, Issue 1 , June 2019, , Pages 1-9

https://doi.org/10.22105/dmor.2019.85929

Abstract
  The quality loss function is conventional techniques in robust design terminology that consider the deviation of output from ideal point and variability as well. Mostly in practice, processes are affected by uncontrollable external factors that cause output of process to be far from ideal points with ...  Read More

Optimization in science and engineering
Multi Variable Process Modeling Using Weighted Cpm Capability Index

Amir Parnianifard; Hamidreza Izadbakhsh

Volume 4, Issue 4 , February 2020, , Pages 291-298

https://doi.org/10.22105/dmor.2020.205873.1131

Abstract
  Up to now, different tools have been introduced for analyses of process capability such as process capability indexes of Cp, Cpk and Cpm that developed for analyzing the capability of process and adapting the quality specifications of product. Most studies in the literature only consider the process ...  Read More

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

supply chain management analyzing/modelling
Multi-objective dynamic recycling-routing-inventory for different pharmaceutical items with considering discount in a closed-loop supply chain

Samira Kiani; Parvaneh Samouei

Volume 5, Issue 3 , December 2020, , Pages 290-311

https://doi.org/10.22105/dmor.2020.237709.1170

Abstract
  In this paper, a closed-loop supply chain for pharmaceutical items consists of a pharmacy, a distribution center, a recycling center and several pharmacy sites is considered in which two types of routing are performed. The first involves the routing of vehicles between the distribution center and the ...  Read More

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