1. Solving Fuzzy Step Fixed Charge Transportation Problems via Metaheuristics

F. Rajabi; S.E. Najafi; M. Hajiaghaei-Keshteli; S. Molla-Alizadeh-Zavardehi

Volume 2, Issue 3 , Summer 2013, , Pages 24-34

Abstract
  In the present paper the step fixed charge transportation problem under uncertainty, particularly when variable and fixed cost are given in fuzzy forms, is formulated. In order to solve the problem, two metaheuristic, simulated annealing algorithm (SA) and variable neighborhood search (VNS), are developed ...  Read More

2. Designing a Genetic Algorithm to Optimize Fulfilled Orders in Order Picking Planning Problem with Probabilistic Demand

M. Seyedrezaei; S.E. Najafi; A. Aghajani; H. Bagherzadeh Valami

Volume 1, Issue 2 , Summer 2012, , Pages 40-57

Abstract
  Distribution centers (DCs) play an important key role in supply chain. Delivering the right items to the right customers at the right time, at the right cost is a critical mission of the DCs. Today, customer satisfaction is an important factor for supplier companies in order to gain more profits. Optimizing ...  Read More

3. Efficiency Evaluation and Ranking of the Research Center at the Ministry of Energy: A Data Envelopment Analysis Approach

M. Fallah; S.E. Najafi

Volume 1, Issue 1 , Spring 2012, , Pages 10-18

Abstract
  Evaluating the performance of the different departments in an organization or evaluating and comparing the performance of a single department over different time points may boost the organizational efficiency and the involved industry. Making the most efficient use of the existing resources to realize ...  Read More

4. Performance Evaluation Function for Benchmarking Process Using Context-Dependent Data Envelopment Analysis

H. Bagherzadeh Valami; S.E. Najafi; B. Farajollahzadeh

Volume 1, Issue 1 , Spring 2012, , Pages 19-28

Abstract
  Data envelopment analysis (DEA) is a methodology for identifying efficient frontier of decision making units (DMUs) with multiple outputs and inputs. Context-dependent DEA refers to a DEA approach where a set of DMUs are evaluated against a particular evaluation context. Each evaluation context represents ...  Read More