Amir Shabani

Doctoral candidate: Amir ShabaniShabani, Amir 2

Research track: Logistics & Operations Research

Start date: September 2015

Supervisors: Prof. dr. Wout Dullaert

 

 

 

 

Supply Chain Networks: Quantitative Models for Measuring Performance
 
Performance measurement is a key managerial task that provides decision-makers with crucial information for achieving company objectives. In the context of supply chains, it can help to better understand production/service processes, bottlenecks, issues, improvement potentials and critical success factors. Measuring the performance of the supply chain is challenging due to several reasons. Firstly, one has to deal with multiple suppliers, manufacturers, service providers, distributors, vendors and retailers in addition to internal stakeholders of a company. Under such conditions, determining performance objectively and accurately is very important and can be quite demanding. Secondly, managers continuously reshape the boundaries of companies. These continuous adjustments complicate a periodic performance measurement, although this measurement is vital to keep the business units as competitive as possible. This thesis points out that existing, quantitative models developed for measuring the performance of supply chains do not cover the entire spectrum of aspects required for reliable and precise performance evaluation. Therefore, in this thesis, we propose novel, quantitative models to evaluate supply chain performance accurately.
 


Short CV:

EDUCATION

  • MSc, Industrial Management (Productions & Operations Management), Jan. 2008 - Jun. 2010, Islamic Azad University-Science and Research Branch, Iran.
  • BSc, Industrial Management, Sep. 2002 - Nov. 2006, Islamic Azad University-Karaj Branch, Iran.

ACADEMIC EXPERIENCES

  • Researcher, Young Researchers and Elites Club, Science and Research Branch, Islamic Azad University, Tehran, Iran, Oct, 2011 - Aug, 2015.

RESEARCH INTERESTS

  • Performance measurement modeling
  • Data Envelopment Analysis
  • Sustainable Supply Chain Management
  • Decision Making (Certainty, Risk, and Uncertainty)

Google Scholar Address

https://scholar.google.com/citations?user=lieLvA8AAAAJ&hl=en

PUBLICATIONS

1. Refereed Journal Papers

Khodakarami, M., Shabani, A., & Farzipoor Saen, R., (2016), “Concurrent estimation of efficiency, effectiveness and returns to scale”, International Journal of Systems Science, 47(5), pp.1202-1220.

Shabani A., & Farzipoor Saen R., (2016), “Developing imprecise dual-role Hybrid measure of efficiency for international market ‎selection using ternary variable”, International Journal of Industrial and Systems Engineering, 22(3), pp. 305–331.

Shabani, A., Torabipour, S. M. R., & Farzipoor Saen, R., (2015), ‎“A new super-efficiency dual-Role FDH procedure: An application in dairy cold ‎chain for vehicle selection”, International Journal of Shipping and Transport Logistics, 70(4), pp. 426-456.

Faramarzi, G. F., Khodakarami, K., Shabani, A., Farzipoor Saen, R., & Azad, F., (2015), “New network data envelopment analysis approaches: An application in measuring sustainable ‎operation of combined cycle power plants”, Journal of Cleaner Production, 108, pp. 232–246.

Rashidi, K., Shabani, A., & Farzipoor Saen, R., (2015), “Using data envelopment analysis for estimating energy saving and undesirable output abatement: A ‎case study in the OECD countries”, Journal of Cleaner Production, 105, pp. 241-252.

Shabani, A., Torabipour, S. M. R., Farzipoor Saen, R., & Khodakarami, K., (2015), “Distinctive data envelopment analysis model for evaluating global ‎environment performance”, Applied Mathematical Modelling‎, 39(15), pp. 4385-4404.

Khodakarami, K., Shabani, A., Farzipoor Saen, R., & Azadi, M., (2015), “Developing distinctive two-stage data envelopment analysis models: An application ‎in evaluating the sustainability of supply chain management”, Measurement, 70, pp. 62-74.

Shabani A., & Farzipoor Saen R., (2015), “Developing a novel data envelopment analysis model to determine prospective benchmarks of green supply chain in the presence of dual-role factor”, Benchmarking: An International Journal, 22(4), 711-730.

Azadi, M., Shabani, A., Khodakarami, K., & Farzipoor Saen, R., (2014), “Planning in feasible region by two-stage target-setting DEA methods: An application in green ‎supply chain management of public transportation service providers”, Transportation Research Part E: Logistics and Transportation Review‎, 70, 324-338.

Shabani, A., Farzipoor Saen, R., & Torabipour, S. M. R., (2014), “A new data envelopment analysis (DEA) model to select eco-efficient technologies in the presence of undesirable outputs”, Clean Technologies and Environmental Policy, 16(3), 513-525.

Khodakarami, M., Shabani, A., & Farzipoor Saen, R., (2014), “A new look at measuring sustainability of industrial parks: a two-stage data envelopment analysis approach”. Clean Technologies and Environmental Policy, 16(8), 1577-1596.

Azadi, M., Shabani A., & Farzipoor Saen R., (2014), “A new Russell model for selecting suppliers”, International Journal of Integrated Supply Management, 9(1/2), 23-48.

Shabani, A., & Farzipoor Saen, R., (2014), “International market ranking using enhanced imprecise dual-role MAJ model”, International Journal of Business Excellence, 7(5), 601-625.

Shabani, A., Farzipoor Saen, R., & Vazifehdoost, H., (2013), “The use of data envelopment analysis for international market selection in the presence of multiple dual-role factors”, International Journal of Business Information Systems, 13(4), 471-489.

Shabani, A., Farzipoor Saen, R., & Torabipour, S. M. R., (2012), “A new benchmarking approach in cold chain”, Applied Mathematical Modelling, 36(1), 212-224.

Shabani, A., Torabipour, S. M. R., & Farzipoor Saen, R., (2011), “Container selection in the presence of partial dual-role factors”, International Journal of Physical Distribution & Logistics Management, 41(10), 991-1008.

Farzipoor Saen, R., Farsijani, H., & Shabani A., (2010), “Evaluating the best sales agents in ‎cold chain by enhanced Russell graph efficiency measure model for benchmarking: A case ‎study in an Iranian Dairy Company”, Managerial Vision, (In Persian).‎

Farsijani, H., Shabani A., & Torabipour, S. M. R., (2009), “A review of product design role to achieve world-class manufacturing: A case study in the automotive industry”, The Covenant of Managers, (In Persian).‎

 

2.Working papers/Papers under review

Shabani, A., Khodakarami, K., Azadi, M., & Farzipoor Saen, R., “A new network data envelopment analysis model: A case study in municipality”, (Under review).

Shabani, A., Faramarzi, G. F., Farzipoor Saen, R., & Khodakarami, K., “Simultaneous evaluation of efficiency, input-effectiveness, and output-effectiveness”, (Under review).

Kashav, S., Singh, R., Shabani, A., “Identification of Key Success Factors in Sustainable Cold Chain Management: Insights from Indian Food Industry”, (Under review).

Shabani, A., Leeuw, S. L. J. M. de., & Dullaert, W. E. H., “Inventory Record Inaccuracy and Performance of Fashion Stores”.

REFEREE OF INTERNATIONAL JOURNALS

  • International Journal of Production Research
  • Expert Systems
  • International Journal of Systems Science
  • Industrial Management & Data Systems
  • International Journal of Information Technology & Decision Making
  • Energy Efficiency
  • Sustainability
  • Measurement
  • International Journal of Industrial and Systems Engineering
  • Benchmarking: An International Journal
  • International Journal of Information and Decision Sciences