1 2251-7286 دانشگاه آزاد اسلامی واحد لاهیجان 1406 Special The Design Structural Model of Green Supply Chain Management Practices to Using Fuzzy Interpretive Structural Modeling Approach Ghorbanpoor A. b Pooya A. c Nazemi S. d Najiazimi Z. e b PhD student, Department of Management, Ferdowsi University of Mashhad, Mashhad c Department of Management, Ferdowsi University of Mashhad, Mashhad d Department of Management, Ferdowsi University of Mashhad, Mashhad e Department of Management, Ferdowsi University of Mashhad, Mashhad 1 2 2017 13 4 1 20 24 12 2016 24 12 2016
1405 Special Scheduling in Flexible Jobshop Environment Considering Assembling and Sequence Dependent Processing Times Beheshtinia M. f Hassani Bidgoli M. g f Industrial Engineering Department, Semnan University, Semnan g Department of Science Student, Industrial Engineering, Payame Noor Uinversity, Tehran 1 2 2017 13 4 21 37 24 12 2016 24 12 2016 1417 Special Optimizing a Flexible Constrained Portfolio in Stock Exchange with Fuzzy Programming Khanjarpanah H. h Pishvaee M. S. i Jabbarzadeh A. j h Department of Industrial Engineering, Iran University of Science and Technology i Department of Industrial Engineering, Iran University of Science and Technology j Department of Industrial Engineering, Iran University of Science and Technology 1 2 2017 13 4 39 54 25 12 2016 25 12 2016 1410 Special Presenting of Time Driven Data Envelopment Analysis Model in Financial Statements Analysis of Listed Firms in Tehran Stock Exchange Alinezhad Sarokolaei M. k Saati S. l k Department of Accounting, sari Branch, Islamic Azad University l Department of Mathematics, Tehran-North Branch, Islamic Azad University, Tehran 1 2 2017 13 4 55 65 24 12 2016 24 12 2016 1411 Special Efficiency Evaluation of Iranian Electricity Distribution Companies Using Mixed Neural Networks and Data Envelopment Analysis Fallah Jelodar M. m m , Department of Mathematics, Ayatollah Amoli Branch, Islamic Azad University, Amol 1 2 2017 13 4 67 83 24 12 2016 24 12 2016 1407 Special A Model for the Use of Statistical Tests to Determine the Width of the Window and Its Use in Evaluating the Performance of Faculty of Islamic Azad University, Kerman Branch, Using a Window Analysis Hamzehee A. n Shojaati G. o n , Department Of Mathematics, Kerman Branch, Islamic Azad University, Kerman o Department of Mathematics, Kerman Branch, Islamic Azad University, Kerman 1 2 2017 13 4 85 102 24 12 2016 24 12 2016 1408 Special Supply Chain Identify and Rank the Criteria for Selecting Suppliers in the LARG (Case Study: KALLEH Food Industry) Mohammadnezhad Chari F. p Safaei Ghadikolaei A. p , Department of Industrial Management, Faculty of Management, Khazar Non-Profit and Private Institute of Higher Education, Mahmudabad , Industrial Management Department, Faculty of Management, University of Mazandaran, Babolsar 1 2 2017 13 4 103 120 24 12 2016 24 12 2016 1409 Special Customer Portfolio Optimization in Marketing Budgets Allocation Using Data Envelopment Analysis and Robust Optimization Salehi M. Nouri M. Department of Industrial Engineering ,Faculty of Engineering, Payame Noor University, Tehran, Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran 1 2 2017 13 4 121 140 24 12 2016 24 12 2016 881 Special Using Stochastic Nonparametric Envelopment of Data (StoNED) to calculate Energy Inputs Efficiency of Wheat Production in Mazandaran province esfanjari kenari R. Faculty of Agricultural Sciences, University of Guilan 1 2 2017 13 4 141 154 17 10 2014 09 02 2016 In current research, energy efficiency and technical efficiency of wheat farmers were calculated in Mazandaran province. To estimate technical efficiency the Stochastic Nonparametric Envelopment of Data (StoNED) was used. The model incorporating nonparametric data envelopment analysis model which contain the smoothness and concavity constraints with stochastic frontier analysis model. The requirement data for this study was include 375 farmers in 2012. The results showed that in production of wheat, nitrogen, seed and fuel with 41.7, 25.4 and 20.5 percent have the largest proportion of input energy and manpower with 0.21 percent and herbicides with 0.53 percent have the lowest percentage of energy. A total of 15761.5 MJ of energy input and 62.8 MJ output energy in wheat production systems was calculated. About 20.7% of the input energy in wheat production systems was direct energy and 79.2% of its energy was indirect form. Renewable energy sources is about 25/6% of the total input energy and non-renewable energy sources is about 74.3%. Energy productivity is 0/29 MJ/ kg and means that each unit of energy can produce just 0/29 kg of product. Average energy efficiency per hectare obtained 3/99 for wheat. The net and specific energy were 47066.9 MJ/ha and 3.4 MJ/Kg respectively. The average technical efficiency, pure technical efficiency and scale efficiency was 0.46, 0.45 and 0.43, respectively. About 46.4% of the farms have constant returns to scale, 24.8% of the farms have diminishing returns to scale, and 28/8 percent is increasing returns to scale.