Volume 22 (2024)
Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
Volume 17 (2019)
Volume 16 (2018)
Volume 15 (2017)
Volume 14 (2016)
Volume 13 (2015)
Volume 12 (2015)
Volume 11 (2014)
Volume 9 (2012)
Volume 10 (2012)
Volume 8 (2010)
Volume 6 (2007)
Volume 5 (2006)
Volume 4 (2006)
Volume 3 (2005)
Volume 2 (2004)
Volume 1 (2003)
Real-Time Multiple Disruptions Management In a Multi-Level Supply Chain: A Recovery Planning Approach

Laya Olfat; Maghsoud Amiri; Ebrahim Teimoury; Fatemeh Ghasemzadeh Gevari

Volume 16, Issue 50 , October 2018, , Pages 79-104


  In today’s competitive world, supply chain management gains more attention every day. One of the most challenging topics in this field for managers and researchers is supply chain disruption management. When a disruption occurs in an echelon of a multi level supply chain, it may affect other echelon’s ...  Read More

Vehicle routing problem in cross-dock using genetic algorithm, Case: Iran Khodro company.

Laya Olfat; Maghsod Amiri; Ahmad Jafarian

Volume 15, Issue 45 , July 2017, , Pages 97-120


  Cross-docking is one of the lean logistics tools that is used for uniting the shipments during the loops replacement. Cross-docking is the process of product movement form distribution centers without storage function. Vehicle routing problem in Cross-Dock external environment has much influence on cross-dock ...  Read More

Proposed a Hybrid Multi-Objective competitive Algorithm for solving the redundancy allocation reliability problem

Roozbeh . Azizmohammadi; Maghsoud .Amiri; Reza Tavakkoli- Moghadam; Hamid Reza. Mashatzadegan

Volume 14, Issue 42 , October 2016, , Pages 103-121

  A redundancy allocation problem is a well-known NP-hard problem thatinvolves the selection of elements and redundancy levels to maximize thesystem reliability under various system-level constraints. In many practicaldesign situations, reliability apportionment is complicated because of thepresence of ...  Read More

Robust optimization approach for Supplier selection and order allocation in an uncertain environment

Yalda Yahyazade; Laya Olfat; Maghsod Amiri

Volume 14, Issue 40 , April 2016, , Pages 25-52


  Appropriate management of supply chain is one of the issues facing economic firms that affect all the organizational activities in order to produce the goods and provide the services. Consequently Supplier selection due to involvement of various qualitative and quantitative criteria such as quality, ...  Read More

A model to define and determine the production process parameters of polyethylene Terephthalate (PET) using combined approach of Response Surface Methodology, Artificial Neural Network and Meta heuristic

Reza Abasi; Jamshid Salehi Sadaghiani; Maghsoud Amiri

Volume 13, Issue 38 , October 2015, , Pages 79-98

  There are several different factors in industrial processes, which may have an impact on final product specifications. In this paper, the nonlinear multi-objective mathematical modeling for the 5 qualitative characteristics of polyethylene terephthalate (PET) as one of the most widely used products in ...  Read More

Developing (r,Q) & (R,T) inventory control models

Magsud Amiri; , Mohammad Amin Nayebi; Oveis Zarabadipour

Volume 12, Issue 33 , July 2015, , Pages 125-124

  In this paper we have developed inventory control models (r,Q) & (R,T) in multi-items environment by two objectives as minimizing costs (holding & shortage) and risk level under four constraints. These constraints include: available budge, service level, storage space & allowed shortage quantities. ...  Read More

Bicriteria single machine scheduling to minimize total tardiness and waiting time variance by genetic algorithms

Maghsoud Amiri; Mahdi Keshavarz Gharabaei

Volume 13, Issue 36 , April 2015, , Pages 143-171

  Actual scheduling problems may necessitate the decision maker to consider a variety of criteria prior to make any decision. This research considers a single machine scheduling problem, with the objective of minimizing a combination of total tardiness and waiting time variance criteria in which the idle ...  Read More

The Estimation of the Bullwhip Effect and Stock Functions Using Response Surface Methodology

maghsoud amiri; laya olfat; amir hasanzadeh

Volume 11, Issue 29 , July 2013, , Pages 89-112

  A major cause of supply chain deficiencies is the bullwhip effect. This phenomenon refers to demand variability increases as one move up the supply chain. Supply chain managers experience this variance amplification in both inventory levels and orders. Other side, dampening variability in orders may ...  Read More

A New Methodology for Solving Multi-criteria Decision Making Problem

Maghsoud Amiri; Mohsen Rahimi Mazrae shahi; Hamid Taboli

Volume 9, Issue 24 , March 2012, , Pages 45-65

  This article suggests a new method for solving multi-criteria decision making issues. The method has been designed by simple but rational mathematical logic based on a specific geometric definition of the options. Understandable content as well as algorithm simplicity and simplified process are the rich ...  Read More

A model for supply chain performance evaluation using by network data envelopment analysis model (Case of: Supply chain of pharmaceutical companies in Tehran Stock Exchange

Laya Olfa; ahanyar BamdadSoofu; Maghsoud Amir; Mostafa Ebrahimpoor Azbari

Volume 10, Issue 26 , January 2012, , Pages 9-34

  For performance evaluation of supply chain, having a comprehensivemodel with reliable data is useful. This can help to improve the entirechain. In this paper a model is presented, according to the nature ofnetwork and multi-stage supply chain, that able to evaluate theperformance of the entire chain ...  Read More

Evaluation and Ranking Strategies With ELECTRE III Techniques in Fuzzy Situation (Case Study Conducted at Temad Co.)

Abolfazl Kazzazi; Maghsood Amiri; Fatemeh Rahbar Yaghoobi

Volume 8, Issue 20 , March 2011, , Pages 49-79

  In This paper, application of MCDM techniques in evaluation and ranking of Temad Co. strategies has been considered. Statistical target group, as "expert group" has been chosen among company's managers to identify strategies and evaluate them. At the first phase, strategies have been deducted with SWOT ...  Read More

Application of Response Surface Methodology to Determine Effective Factors on Production Process of Glass Bottle

Maghsoud Amiri

Volume 8, Issue 18 , September 2010, , Pages 15-39

  Some problems of real world, must be determine and analyze input variable's effect on response variable. One of the applicable techniques which are used for modeling and solving such problems is response surface methodology (RSM). In this paper the effect of five controllable input factors: raw materials, ...  Read More

Offering a model in data envelopment analysis to obtain common set of weights using fuzzy logic

Maghsoud Amiri; Amir Alimi; Seyed Hossein Abtahi

Volume 6, Issue 17 , September 2007, , Pages 135-151

  Data envelopment analysis model is a model for calculating the efficiency of decision making units (DMUs). In previous models there are some weaknesses that the most important one is changing weights of inputs and outputs in model that lead to evaluate efficiencies of DMUs with different weights. The ...  Read More

Group decision making to select machine tools by using fuzzy VIKOR method

Maghsoud Amiri

Volume 6, Issue 16 , June 2007, , Pages 167-188

  Selection of appropriate machine tools for a manufacturing company, because that effects on product process, is a very important. But by imprecise information, the selection will be complicated. The VIKOR method is one of new methods for solving problems of multiple criteria decision making where its ...  Read More

Optimization of Financial Portfolio by Using Nadir Compromising Programming

Maghsoud Amiri

Volume 6, Issue 15 , March 2007, , Pages 143-165

  After introducing Markowitz mean-variance model, decision makers (DMs) and financial planners paid much attention to the matter of portfolio selection, so that DMs explain purposes and investment requirements in the frame of multi-objective mathematic models which are more consistent with decision making ...  Read More

A mixed Genetic Algorithm and Simulated annealing Algorithm for Cattle Food production process optimization

Maghsoud Amiri; Sara Hatami; Seyed Mostafa Moosavi

Volume 5, Issue 14 , December 2006, , Pages 251-273

  In this paper we try to determine optimal combination of effective factors to produce cattle feed. Cattle feed has direct relation with cattle health, this research is done on real case study, therefore the gained results could be too important. Both response surface methodology and design of experiments ...  Read More

Proposing a method to achieve the weights in Fuzzy-MCDM problems: a case study due to select a type of tickicide

Maghsood Amiri; Mostafa Jafarian; Sara Hatami

Volume 4, Issue 12 , March 2006, , Pages 1-43

  This paper extends a kind of evaluation process based on fuzzy TOPS IS approach. By focusing on determining the importance and weights of criteria which are effective on decision making , then selecting by lean on Anthropy and eigenvector methods in which comparison between criteria are linguistic and ...  Read More

A Methodology for Analyzing the Transient Reliability and Availability of Systems with Identical Components and Identical Repairmen

Maghsoud Amiri

Volume 3, Issue 9 , June 2005, , Pages 29-40

  In this paper we used the Markov models eigenvectors and eigen values concdpts to propose a methodology for analyzing the transient reliability of system with the identical components and the identical repairmen. The components of the systems under consideration can have two distinct configurations, ...  Read More

A Method for Optimizing Statistical Multi- criteria Problems, using Fuzzy Goal Programming

Magbsood Amiri

Volume 2, Issue 7 , December 2004, , Pages 37-55

  One of the most important issues in inventory control is determination of the reorder point. Defining parameters of this point are usually in forms of crisp or probability. In this article the parameters are considered as fuzzy numbers because  of ambiguities in the real world. Then reorder point ...  Read More