Maghsoud Amiri; Alireza Alinezhad
Volume 20, Issue 62 , September 2010, , Pages 1-35
Abstract
This paper presents a multi-objective zero-one linear programming model with fuzzy parameters to select a proper portfolio of processes for reengineering in the manufacturing companies. Based on a new setof qualitative and quantitative indicators, an evaluation method is presented to measure ...
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This paper presents a multi-objective zero-one linear programming model with fuzzy parameters to select a proper portfolio of processes for reengineering in the manufacturing companies. Based on a new setof qualitative and quantitative indicators, an evaluation method is presented to measure and estimate the reengineering effect of processes on the improvement of company performance. Fuzzy sets theory is used because some variables are verbal and we have some uncertain data. So, analytic hierarchy process, multi-criteria group decision making, fuzzy theory and portfolio theory all were used together to develop a process portfolio selection model. In this model, processes which make maximum value for company and cause theleast staff resistance are selected for reengineering. Also considering the membership degree of fuzzy numbers, a novel method is developed to solve multi-objective zero-one linear programming problems with fuzzy parameters. Finally, an illustrative case study is included to demonstrate the efficiency and practicality of the proposed model.
maghsud amiri; jamshid salehi sedghiani; seyed mostafa mir hedayatian; ehsan mowmeni
Volume 19, Issue 58 , March 2008, , Pages 91-106
Abstract
In the competitive situation of nowadays, organizations are continuously evaluating and surveying their performance. Understanding the components which involve performance , an organization may raise up its position in market. Data envelopment analysis has been accepted as an approach to compare and ...
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In the competitive situation of nowadays, organizations are continuously evaluating and surveying their performance. Understanding the components which involve performance , an organization may raise up its position in market. Data envelopment analysis has been accepted as an approach to compare and evaluate the performance which has been employed widely in the researches. In this paper, we use DEA to evaluate the monthly performance of an automobile parts manufacturer and to recognize the good and bad performance. What is important in this research is to use common weights to prevent iteration in solving the model because of alteration in data. In this paper, first we use DEA as an basic model to obtain monthly performance measures and then using common weights, we acquire the performance measures according to two set of historical and current data. Furthermore, we utilize control charts to recognize the months with bad performance from good one. Eventually, we use experts judgments to verify the results of model.
DataEnvelopmentAnalysis, performanceevaluation, commonweights, controlcharts.
