Adel Azar; Davood Andalib Ardakani; Haidar Mirfakhroddini
Volume 9, Issue 22 , September 2011, , Pages 23-48
Abstract
Nowadays the most important issues considered by the managers of industry is production planning and in this area, managers are faced with several goals that in many cases are in conflict with each other. Operations research techniques, with modeling, while the existing constraints consider, optimize ...
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Nowadays the most important issues considered by the managers of industry is production planning and in this area, managers are faced with several goals that in many cases are in conflict with each other. Operations research techniques, with modeling, while the existing constraints consider, optimize organizational goals. Objectives of all these techniques are raising productivity in the organization. Mathematical model for this research that is made for production planning in Khavar-E-Miane Furniture Co is multiple Objective fractional programming. One of the difficulties in solving the multiple Objective fractional problems is computational problem that arise of variability, in the example Chames and Cooper and Gillmore and Gomory methods there. Hence this research was used fuzzy approach to solve multiple Objective fractional mathematical model of Khavar- E-Miane Furniture Company. Thereby also overcome the computational problems of variability in the previous methods, the relevant officials will be able to optimize their production systems. In this context the first phase, Pal's method was used that using fuzzy goal programming was solved the multiple Objective fractional mathematical model. More using Dutta fuzzy method was determined that the result using both methods is identical and membership functions are equal to =0.701 and //2 =1. It should be noted that other companies also changed slightly in the proposed mathematical model will be able to optimize the production planning.
Haidar Mirfakhroddini; Davood Andalib Ardakani; Morteza Rezaei Asl
Volume 8, Issue 21 , June 2011, , Pages 107-130
Abstract
Supply chain is a network of independent organizations that cooperate with each other, in order to control, manage and improve material and information flow from suppliers to final consumers to meet customer satisfaction. In Industry, especially industries that are moving towards the longer supply chain, ...
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Supply chain is a network of independent organizations that cooperate with each other, in order to control, manage and improve material and information flow from suppliers to final consumers to meet customer satisfaction. In Industry, especially industries that are moving towards the longer supply chain, the issue of supply chain risk management is important.
The risk management process focuses on the identification of risks and reduction of theirs adverse effects. Risk management process in supply chain includes four-phase identification, assessment, control or management and tracking of risky events. The aim of risk assessment is risk measurement based on various attributes. A key part of this process is risk rating; in this article first, with study of multi criteria decision making, it was tried to recognize the appropriate model for ranking of risk factors in order to determine their priority and allocate resources to deal with each of them. More, the field of information technology in small and medium enterprises was studied and after recognizing of risk factors of field of information technology in small and medium enterprises, Electre, Topsis and Taxonomy techniques to rank these factors were used.
More and also with calculating the Spearman correlation coefficient for detecting convergence of ratings, using the mean method, the final ranking risk factors in the supply chain field were acquired.
