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 14 (2016)
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)
A model for Evaluation and ranking of technological companies located in Science and Technology Park using combined approach of Data Envelopment Analysis (DEA) and Six Sigma methods ..

seyyed heydar mirfakhradini; fatemeh azizi

Volume 13, Issue 36 , April 2015, Pages 5-26

Abstract
  Performance evaluation is a systematic review that helps organizations to achieve their goals. This study evaluates and ranks Yazd Science and Technology Park’s high-tech firms, using integration Data Envelopment Analysis into Six Sigma methodology. In this study a combination of both methods is ...  Read More

Determining and Prioritizing of Entrepreneurship Risks in Banking Industrial

Mostafa Ekhtiari; Masoud Kasaei

Volume 13, Issue 36 , April 2015, Pages 27-60

Abstract
  Entrepreneurship risks are the most important titles in the implementation process of new businesses, which must be considered by entrepreneurs. Not considering the entrepreneurship risks, can face the new businesses by the hazard of non-realization of the accepted results. But as the risks are associated ...  Read More

A modeling of internal effective factors over small and medium enterprises performance

Vali MOhamad Darini; Ali Akbar Aghajani Afroozi; Mohamad Taban; Morteza Mohamadi saleh

Volume 13, Issue 36 , April 2015, Pages 61-94

Abstract
  Abstract: In response to bankruptcy of several small and medium enterprises(SMEs) in Mazandaran province, this research is conducted to identify the internal key factors that affect the performance of this enterprises. Based on our rigorous literature review in the field of SMEs, a conceptual model with ...  Read More

Designing the pattern of lean supply chain using structural equation technique

ASghar Aghaei; Jamshid Salehi Sadaghiani; Vajholah Ghorbanizadeh; Fatah Mikaeili

Volume 13, Issue 36 , April 2015, Pages 95-113

Abstract
  Today supply chains are working in an environment that are seeking improvement and decreasing costs and applying alternatives and strategies based on this direction. Lean strategy in one them which helps supply chains for elimination of wastes as the main aim. So, this research aims to design a model ...  Read More

A hybrid model for suppliers' selection based on clustering method using NRGA and NSGA-II algorithms

Parham Azimi; Farzaneh Goldar; Esmaeil Mehdizadeh

Volume 13, Issue 36 , April 2015, Pages 115-142

Abstract
  Supply chain management (SCM) is one of the most important competitive strategies used by modern companies. The main goal of supply chain management is integration different suppliers to fulfill market demand. Therefore, evaluation and selection of suppliers has critical role and significant effect on ...  Read More

Bicriteria single machine scheduling to minimize total tardiness and waiting time variance by genetic algorithms

Maghsoud Amiri; Mahdi Keshavarz Gharabaei

Volume 13, Issue 36 , April 2015, Pages 143-171

Abstract
  Actual scheduling problems may necessitate the decision maker to consider a variety of criteria prior to make any decision. This research considers a single machine scheduling problem, with the objective of minimizing a combination of total tardiness and waiting time variance criteria in which the idle ...  Read More

The survey of effect of competitive intelligence on competitive ability and industrial competitiveness in Lorstan industrial estate

Reza Sepahvand; Ali Shariat Nejad

Volume 13, Issue 36 , April 2015, Pages 173-198

Abstract
  The aim of this article is identify the factors that have effect on competitive intelligence, competitive ability and industrial competitiveness in Lorestan industrial estates and survey the effect of competitive intelligence on competitive ability and industrial competitiveness in Lorestan industrial ...  Read More