Volume 20 (2022)
Volume 18 (2020)
Volume 17 (2019)
Volume 16 (2018)
Volume 15 (2017)
Volume 14 (2016)
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)
Nurse Rostering Problem Considering Drect andIndirect Costs: Deferential Evolution Algorithm

Mohammad Reza Hassani; Javad Behnamian

Volume 19, Issue 61 , August 2021, Pages 1-32


  The employee scheduling seeks to find an optimal schedule for employees according to the amount of demand (workload), employee availability, labor law, employment contracts, etc. The importance of this problem in improving the quality of service, health and satisfaction of employees and reducing costs, ...  Read More

Provide a Mathematical Model for Financing Small and Medium-Sized Manufacturing Enterprises (SMEs) in the Supply Chain

Seyed Mohammad Ali Khatami Firouzabadi; Hamid Moradi; Kamran Feizi

Volume 19, Issue 61 , August 2021, Pages 33-64


  Given the importance of financing small and medium-sized manufacturing companies in order to provide working capital and their profitability, this study has presented a mathematical model for financing these companies by factoring in the supply chain. Factoring is one of the most important ways to finance ...  Read More

Multi-project Optimal Scheduling Considering Reliability and Quality Within the Construction Supply Chain: A Hybrid Genetic Algorithm

Hêriş Golpîra; Erfan Babaee Tirkolaee; Mohammad Taghi Taghavifard; Fayegh Zaheri

Volume 19, Issue 61 , August 2021, Pages 65-93


  Although the construction industry, especially because of its relationship with other economic sectors, is one of the most important sectors that plays a key role in a country's economic growth, the construction supply chain has been considered less attention. Therefore, construction supply chain network ...  Read More

A New Method for Reliability Calculation of the Active Systems with Time-Dependent Failure Rates based on Weibull Distribution

pedram Pourkarim guilani; Mani Sharifi; parham azimi; maghsoud Amiri

Volume 19, Issue 61 , August 2021, Pages 95-124


  Due to the high sensitivity in applying of electronic and mechanical equipment, creating any conditions to increase the reliability of a system is always one of the important issues for system designers. Hence, making academic models much closer to the real word applications is very attractive. In the ...  Read More

Predicting the Price of Bitcoin Using Hybrid ARIMA and Deep Learning

aboosaleh mohammadsharifi; Kaveh Kahlili-Damghani; farshid abdi; soheila sardar

Volume 19, Issue 61 , August 2021, Pages 125-146


  Recently, Bitcoin as the most popular cryptocurrency, has attracted the attention of many investors and economic actors. The cryptocurrency market has experienced a sharp fluctuation, and one of the challenges is to predict future prices. Undoubtedly, creating methods to predict the price of bitcoin ...  Read More

supply chain management
Designing Structure Evaluation Model at the Upstream of Automotive Supply Chains by an Adapted Spectral Clustering

Mostafa Ziyaei Hajipirlu; Houshang Taghizadeh; Mortaza Honarmand Azimi

Volume 19, Issue 61 , August 2021, Pages 147-180


  The purpose of this study is to design supply chains' upstream structure evaluation model in the automotive industry with spectral clustering based on the theory of complex adaptive systems. In this research, a method for evaluating the intersectionalities related to the structural complexity (horizontal, ...  Read More

The Factors Affecting on Instability Index in Tehran Stock Exchange (The Case: Base Metals Industry)

hassan hadipour; Seyyed Ali paytakhti oskooe; Yaghoub Alavi Matin; Kamaleddin Rahmani

Volume 19, Issue 61 , August 2021, Pages 181-207


  The capital market, especially the stock market, is as risky as any other investment activity and is affected by overflow fluctuations and instabilities from other markets. In the face of other macroeconomic variables, this causes instability in the stock market. In the present study, using conditional ...  Read More