Assessing Market Development and Innovation Project Management Factors Using the PICEA-g Hybrid Evolutionary Multi-Criteria Decision Technique. The Calcimine Company Case Study

  • S. Ghaffari Department of Industrial Engineering, Payam-e-Noor University, Tehran, Iran
  • A. Najafi Department of Industrial Engineering, Zanjan Branch, Islamic Azad University, Zanjan, Iran
  • M. Jafari Eskandari Department of Industrial Engineering, Payam-e-Noor University, Tehran, Iran
Volume: 7 | Issue: 6 | Pages: 2194-2199 | December 2017 | https://doi.org/10.48084/etasr.1478

Abstract

Project management includes the consideration of complex decision modes used in modern decision support techniques. The aim of this paper was to prioritize such factors and evaluate their effects on project management and optimal control. Their effect on management and optimal project control are evaluated in frame of a statistical hypothesis. A new algorithm, "IPICEA-g" is proposed for the assessment. A questionnaire is used for data collection distributed between 56 employees of the CALCIMINE Company. T-test, two-sentence test, ANP method, FUZZY SEAMATEL and the IPICEA-g hybrid algorithm, are employed for data analyzing. Results are further discussed and conclusions are drawn.

Keywords: management, control, projects, hybrid, algorithm, IPICEA-g, DEAMATEL, fuzzy, ANP, marketing, development

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