Volume 22 (2024)
Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
Volume 17 (2019)
Volume 16 (2018)
Volume 15 (2017)
Volume 13 (2015)
Volume 12 (2015)
Volume 11 (2014)
Volume 9 (2012)
Volume 10 (2012)
Volume 8 (2010)
Volume 6 (2007)
Volume 5 (2006)
Volume 4 (2006)
Volume 3 (2005)
Volume 2 (2004)
Volume 1 (2003)
Prediction of passenger movement indexes using Holt Winters Markov chain model

Fatemeh haghighat; Fariborz Golai

Volume 14, Issue 40 , April 2016, Pages 1-24

https://doi.org/10.22054/jims.2016.3908

Abstract
  In order to predict the values of passengers movement indexes which enjoy seasonal changes, this research uses Holt Winters Markov chain model, which is a combination of Markov chain and Holt Winters models. In this regard, Data on the number of moved passengers and the number of made trips indexes are ...  Read More

Robust optimization approach for Supplier selection and order allocation in an uncertain environment

Yalda Yahyazade; Laya Olfat; Maghsod Amiri

Volume 14, Issue 40 , April 2016, Pages 25-52

https://doi.org/10.22054/jims.2016.3909

Abstract
  Appropriate management of supply chain is one of the issues facing economic firms that affect all the organizational activities in order to produce the goods and provide the services. Consequently Supplier selection due to involvement of various qualitative and quantitative criteria such as quality, ...  Read More

Robust Mathematical Model for Projects' Portfolio Selection and Solving with Non Dominated Sorting Genetic Algorithm II

Abas Fadaei; Masood Rabieh; Mostafa Zandieh

Volume 14, Issue 40 , April 2016, Pages 53-74

https://doi.org/10.22054/jims.2016.3910

Abstract
  Considering that the active companies in the field of oil, gas,petrochemical and other energies are project-based and also theincrease of gas applicants who have taken policy of replacing the gasinstead of other fossil fuels, have imposed certain condition onorganizations and project managers in the ...  Read More

A hybrid approach based on MUlti-criteria Satisfaction Analysis (MUSA) and three-stage Network Data Envelopment Analysis (DEA) to evaluate the Relative Efficiency of Services in Iran Melli Bank branches

Kaveh Khalili Damghani; Mohammad TaghaviFard; Kiaras Karbaschi

Volume 14, Issue 40 , April 2016, Pages 75-109

https://doi.org/10.22054/jims.2016.3911

Abstract
  The main goal of this paper is to evaluate the relative efficiency of each level of customer services in MELLI bank branches. A three stage process is defined as consecutive results of service provision to the customers. This process consists of sub-process such as customer expectations, customer satisfaction, ...  Read More

Presenting a fuzzy multi objective model to supplier evaluation and selection in leagile supply chain

Mojgan Khorasani; Abolfazl Kazemi

Volume 14, Issue 40 , April 2016, Pages 111-136

https://doi.org/10.22054/jims.2016.3912

Abstract
  This paper investigates a supplier evaluation and selection model which considers features of leagile supply chain and allocates orders to the selected suppliers. In the proposed model, potential suppliers are evaluated by applying a multi-objective model with respect to the key features of leagile supply ...  Read More

Risk-Based Analysis for the Production System Performance

Mehran Khalaj; Amir Hossine Khalaj; Jalal Talebi

Volume 14, Issue 40 , April 2016, Pages 137-163

https://doi.org/10.22054/jims.2016.3913

Abstract
  Manufacturing systems are always facing different kinds of risk such as failure and interruption risk. Performance risk analysis of manufacturing systems cause errors happening in the prediction of parameters and will also result in wrong decisions where the real and appropriate data is not available. ...  Read More

Dynamic clustering of customers by Data Envelopment Analysis (DEA) - Discriminant Analysis (DA) and Artificial Neural Network (SOM)

Ali Bonyadi Naeini; Saeed Yousef; Mohammad Ali Faezirad

Volume 14, Issue 40 , April 2016, Pages 165-187

https://doi.org/10.22054/jims.2016.3914

Abstract
  Today evaluation of customers to classify the quality of providing services is one of the main challenges of decision-makers in different organizations. It is difficult to respond to all customers’ demands because of increasing volume of them. On the other hand, in current competitive markets, ...  Read More