1. An economic analysis for integrated bi-objective biofuel supply chain design using support vector machine

Masoud Rabbani; Amin Abazari; Hamed Farrokhi-Asl

Volume 7, Issue 2 , Summer and Autumn 2020, , Pages 77-97

http://dx.doi.org/10.22116/jiems.2020.200780.1300

Abstract
  Using second-generation biomass and biofuel deal with environmental pollution and CO2 emissions. Therefore, this paper design an integrated multi-period bi-objective biofuel supply chain network using support vector machine (SVM) and economic analysis to reduce the cost of generating biofuels and CO2 ...  Read More

2. A green transportation location-inventory-routing problem by dynamic regional pricing

Masoud Rabbani; Fatemeh Navazi; Niloofar Eskandari; Hamed Farrokhi-Asl

Volume 7, Issue 1 , Winter and Spring 2020, , Pages 35-58

http://dx.doi.org/10.22116/jiems.2020.110006

Abstract
  Non-uniform distribution of customers in a region and variation of their maximum willingness to pay at distinct areas make regional pricing a practical method to maximize the profit of the distribution system. By subtracting the classic objective function, which minimizes operational costs from revenue ...  Read More

3. Applying queuing theory for a reliable integrated location –inventory problem under facility disruption risks

Masoud Rabbani; Leyla Aliabadi; Razieh Heidari; Hamed Farrokhi-Asl

Volume 4, Issue 2 , Summer and Autumn 2017, , Pages 1-18

http://dx.doi.org/10.22116/jiems.2017.54601

Abstract
  This study considers a reliable location – inventory problem for a supply chain system comprising one supplier, multiple distribution centers (DCs), and multiple retailers in which we determine DCs location, inventory replenishment decisions and assignment retailers to DCs, simultaneously. Each ...  Read More

4. A Bootstrap Interval Robust Data Envelopment Analysis for Estimate Efficiency and Ranking Hospitals

M. Rabbani; N. Heidari; H. Farrokhi Asl

Volume 3, Issue 2 , Summer and Autumn 2016, , Pages 107-122

Abstract
  Data envelopment analysis (DEA) is one of non-parametric methods for evaluating efficiency of each unit. Limited resources in healthcare economy is the main reason in measuring efficiency of hospitals. In this study, a bootstrap interval data envelopment analysis (BIRDEA) is proposed for measuring the ...  Read More