Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)

 

Summary Statistics

Number of Volumes

12

Number of Issues

26

Number of Articles

119

Article View

93,930

PDF Download

79,580

View Per Article

789.33

PDF Download Per Article

668.74

Acceptance Rate

55

Accept Date (Days)

90

Number of Indexing Databases

10

 ACADEMIC STANDARDS

IJO follows a stringent peer review policy. Each article is first evaluated by the editor-in-chief for the originality and scientific rigor of its research. If it passes this first test, the editor-in-chief assigns at least two peer reviewers, to determine whether it meets the rigorous scientific standards, whether it requires revisions or whether it should be rejected. Only original material that meets IJO editorial standards will be published.

 

Data Envelopment Analysis
1. Merging DMUs Based on of the idea Inverse DEA

Elaheh Zeinodin; Saeid Ghobadi

Volume 11, Issue 2 , Autumn 2019, Pages 77-84

Abstract
  In this paper, we propose a novel method using multiple-objective programming problems to answer the following question: if among a group of decision making units (DMUs), a subset of DMUs are required to merge and form a new DMU with specific input/output levels and a predefined efficiency target, how ...  Read More

Strategic Management
2. Organizational Sustainable Competitive Advantage using ORESTE, TRIZ, SWOT Approaches in Gray Conditions

Dorna Teimoori; Alireza Alinezhad

Volume 11, Issue 2 , Autumn 2019, Pages 85-96

Abstract
  In today world, organizations’ performance and making the sustainable competitive strength have become incrementally important for them according to the quick global evolutions. The dairy industry is one of the most important industries which has made very competitive environment. The case study ...  Read More

Numerical Analysis
3. Improving adaptive resolution of analog to digital converters using least squares mean method

Shadan Sadigh behzadi

Volume 11, Issue 2 , Autumn 2019, Pages 97-105

Abstract
  This paper presents an adaptive digital resolution improvement method for extrapolating and recursive analog-to-digital converters (ADCs). The presented adaptively enhanced ADC (AE-ADC) digitally estimates the digital equivalent of the input signal by utilizing an adaptive digital filter (ADF). The least ...  Read More

Non linear Programming
4. A Method for Solving Convex Quadratic Programming Problems Based on Differential-algebraic equations

Masomeh Abbasi

Volume 11, Issue 2 , Autumn 2019, Pages 107-113

Abstract
  In this paper, a new model based on differential-algebraic equations(DAEs) for solving convex quadratic programming(CQP) problems is proposed. It is proved that the new approach is guaranteed to generate optimal solutions for this class of optimization problems. This paper also shows that the conventional ...  Read More

Data Envelopment Analysis
5. Financial efficiency evaluation in a network with feedbacks

Zohreh Moghaddas

Volume 11, Issue 2 , Autumn 2019, Pages 115-124

Abstract
  Financial efficiency evaluations in a network system, considering intermediate products, nowadays consideres great importance for managers. In the process of doing business analysis, each stage of in a network is of particular importance. In this paper, with the help of Data Envelopment Analysis (DEA), ...  Read More

Data Envelopment Analysis
6. Eco-Efficiency Evaluation in Two-Stage Network Structure: Case Study: Cement Companies

Mirpouya Mirmozaffari

Volume 11, Issue 2 , Autumn 2019, Pages 125-135

Abstract
  The cement industry, as a primary trade, plays an important role in the development of a country's organization. This industry in Iran, however, despite of profuse benefits such as high-value mines, faces many challenges. Problems such as exploitation of the production require the need for doing research ...  Read More

Supply Chain Management
7. Investigating the Moderating Role of Competitive Strategies on the Impact of Supply Chain Integration on the Financial and Operational Performance (Case Study: The car manufacturing industry in IRAN

Roghaye Toude Bahambari; Mansour Soufi

Volume 11, Issue 2 , Autumn 2019, Pages 137-147

Abstract
  The increase of international competition motivated most of the organizations to create useful shared mutual cooperation with supply chain partners since they understood that cooperation and collaboration of supply chain partners is the prerequisite for the increase of reliability level and the decrease ...  Read More

Numerical Analysis
8. Shifted Chebyshev Approach for the Solution of Delay Fredholm and Volterra Integro-Differential Equations via Perturbed Galerkin Method

Kazeem Issa; Jafar Biazar; Babatunde Morufu Yisa

Volume 11, Issue 2 , Autumn 2019, Pages 149-159

Abstract
  The main idea proposed in this paper is the perturbed shifted Chebyshev Galerkin method for the solutions of delay Fredholm and Volterra integrodifferential equations. The application of the proposed method is also extended to the solutions of integro-differential difference equations. The method ...  Read More

Strategic Management
9. An ANP and MULTIMOORA-Based SWOT Analysis for Strategy Formulation

Soheila Mazloum Vajari; Iravan Masoudi Asl; Kamran Hajinabi; Leila Riahi

Volume 11, Issue 2 , Autumn 2019, Pages 0-0

Abstract
  Since no organization can have unlimited resources, strategists should decide on a strategy that can provide the greatest benefits to the organization. Decisions on strategy formulation commit the organization to produce specific products, work in specific markets, and exploit certain resources and technologies ...  Read More

Meta-heurestics
10. Flying Squirrel Optimizer (FSO): A novel SI-based optimization algorithm for engineering problems

Gholamreza Azizyan; Farid Miarnaeimi; Mohsen Rashki; Naser Shabakhty

Volume 11, Issue 2 , Autumn 2019, Pages 0-0

Abstract
  This paper provides a novel meta-heuristic optimization algorithm. The behaviors of flying squirrels in the nature are the main inspiration of this research. These behaviors include flying from tree to tree and walking on the ground or on a tree branch to find food. They also contact each other with ...  Read More

Operation Research
11. On solving possibilistic multi- objective De Novo linear programming

Hamiden Abdelwahed Khalifa

Volume 11, Issue 2 , Autumn 2019, Pages 0-0

Abstract
  Multi-objective De Novo linear programming (MODNLP) is problem for designing optimal system by reshaping the feasible set (Fiala [3] ). This paper deals with MODNLP having possibilistic objective functions coefficients. The problem is considered by inserting possibilistic data in the objective functions ...  Read More

Meta-heurestics
12. Optimal Design of Open Channel Sections Using PSO Algorithm

Mohsen Monadi; Mirali Mohammadi; Hamed Taghizadeh

Volume 11, Issue 2 , Autumn 2019, Pages 0-0

Abstract
  This paper applies an evolutionary algorithm, the particle swarm optimization (PSO), to design the optimum open channel section. Depth, channel side slope and bottom width are considered as the variables for rectangular, triangular and trapezoidal channels, respectively. The objective function is minimizing ...  Read More

1. Supplier selection in the sustainable supply chain: The application of analytic hierarchy process and fuzzy data envelopment analysis

Hamid Reza Rezaei; Mohammad Taleghani; Mohsen Shafieyan; Tara Nikandam

Volume 11, Issue 1 , Spring 2019, , Pages 33-47

Abstract
  The development and management of an effective and efficient supply chain involve the selection of the suppliers. Only economic criteria, including cost and delivery, once used to be considered in the process of supplier selection. But, they do not suffice for the evaluation of suppliers anymore due ...  Read More

2. A New Approach for Solving Interval Quadratic Programming Problem

N. A. Taghi-Nezhad; Fatemeh Taleshian; M. Shahini

Volume 11, Issue 1 , Spring 2019, , Pages 67-75

Abstract
  This paper discusses an Interval Quadratic Programming (IQP) problem, where the constraints coefficients and the right-hand sides are represented by interval data. First, the focus is on a common method for solving Interval Linear Programming problem. Then the idea is extended to the IQP problem. Based ...  Read More

Non linear Programming
3. Comparative Study of Particle Swarm Optimization and Genetic Algorithm Applied for Noisy Non-Linear Optimization Problems

Hossein Towsyfyan; Amin Kolahdooz; Hazem Esmaeel; Shahed Mohammadi

Volume 11, Issue 1 , Spring 2019, , Pages 9-16

Abstract
  Optimization of noisy non-linear problems plays a key role in engineering and design problems. These optimization problems can't be solved effectively by using conventional optimization methods. However, metaheuristic algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) seem ...  Read More

Data Envelopment Analysis
4. A Recurrent Neural Network Model for solving CCR Model in Data Envelopment Analysis

Masomeh Abbasi; Abbas Ghomashi

Volume 11, Issue 1 , Spring 2019, , Pages 1-7

Abstract
  In this paper, we present a recurrent neural network model for solving CCR Model in Data Envelopment Analysis (DEA). The proposed neural network model is derived from an unconstrained minimization problem. In the theoretical aspect, it is shown that the proposed neural network is stable in the sense ...  Read More

Data Envelopment Analysis
5. Merging DMUs Based on of the idea Inverse DEA

Elaheh Zeinodin; Saeid Ghobadi

Volume 11, Issue 2 , Autumn 2019, , Pages 77-84

Abstract
  In this paper, we propose a novel method using multiple-objective programming problems to answer the following question: if among a group of decision making units (DMUs), a subset of DMUs are required to merge and form a new DMU with specific input/output levels and a predefined efficiency target, how ...  Read More

Operation Research
1. An Improved Optimization Model for Scheduling of a Multi-Product Tree-Like Pipeline

Mehrnoosh Tahekhani

Articles in Press, Accepted Manuscript, Available Online from 01 December 2019

Abstract
  In the petroleum supply chain, oil refined products are often delivered to distribution centers by pipelines since they provide the most reliable and economical mode of transportation over large distances. This paper addresses the optimal scheduling of a complex pipeline network with multiple branching ...  Read More

Operation Research
2. Using Theory of Constraints in Production Management and Scheduling (A Case Study)

ahmad hooshmand; Ali Reza Mehrazeen; Ali Reza Davoody; Mohamad Reza Shorvarzi

Articles in Press, Accepted Manuscript, Available Online from 24 September 2019

Abstract
  In manufacturing institutes the only access way to maximum profit is identifying the production mix of the products based on the limitations such as policies and politics, demand and production processes. This study identifies the constraints of a tile-manufacturing company including constraints in ...  Read More

Meta-heurestics
3. Stochastic Facility Layout Planning Problem: A Metaheuristic and Case Study

Nima Moradi

Articles in Press, Accepted Manuscript, Available Online from 09 October 2019

Abstract
  Facility layout is one of the most important Operations Management problems due to its direct impact on the financial performance of both private and public firms. Facility layout problem (FLP) with stochastic parameters, unequal area facilities, and grid system modeling is named GSUA-STFLP. This problem ...  Read More

Data Envelopment Analysis
4. Efficiency score assessment of Iranian Mining, Wood and Textile Industries

Malek Hassanpour

Articles in Press, Accepted Manuscript, Available Online from 22 October 2019

Abstract
  The Iranian Environment Protection Agency (IEPA) in collaboration with Iranian Industries Organization (IIO) need to design a relevant database for the industries information based on the initial screening of Iranian Evaluator Team (IET) in certain clusters. However, we aware of this fact that all industrial ...  Read More

Operation Research
5. A NEW HYBRID CONJUGATE GRADIENT METHOD BASED ON SECANT EQUATION FOR SOLVING LARGE SCALE UNCONSTRAINED OPTIMIZATION PROBLEMS

Nasiru Salihu; Mathew Remilekun Odekunle; Mohammed Yusuf Waziri; Abubakar Sani Halilu

Articles in Press, Accepted Manuscript, Available Online from 03 November 2019

Abstract
  There exist large varieties of conjugate gradient algorithms. In order to takeadvantage of the attractive features of Liu and Storey (LS) and Conjugate Descent (CD) conjugate gradient methods, we suggest hy-bridization of these methods in which the parameterβkis computed as a convexcombination ofβ ...  Read More

6. Identification and Prioritization of Factors Affecting Authentic Leadership Deployment at the University of Medical Sciences by AHP

mehrzad abdolah zadeh laleh dashti; mehrdad goudarzvand chegini; hamidreza rezaei kelidbari

Articles in Press, Accepted Manuscript, Available Online from 10 November 2019

Abstract
  Authentic leadership is a pattern of leadership behavior that, by possessing positive psychological abilities, can create a special place for service organizations. The purpose of this study was to identify and prioritize the factors influencing the establishment of authentic leadership in the University ...  Read More

7. Numerical Optimal Control of The Wave Equation

Hassan Zarei; Ali Zafari

Articles in Press, Accepted Manuscript, Available Online from 29 December 2019

Abstract
  In this paper, we present a spectral method for approximating the boundary optimal control problems of a well-known wave equation by the linear optimal control problems. The method is based upon constructing the Mth degree interpolation polynomials, using Chebyshevs nodes, to approximate the wave equation. ...  Read More

Islamic Azad University, Rasht Branch

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