A Combined Interval Net DEA and BSC for Evaluating Organizational Efficiency
Farhad Hosseinzadeh Lotfı, Seyed Jafar Sadjadi, Amir Reza Khaki, Esmaeil Najafi
Abstract
Farhad Hosseinzadeh Lotfı, Seyed Jafar Sadjadi, Amir Reza Khaki, Esmaeil Najafi
Abstract
Measuring the performance of a production system has been an important task in management for purposes of control, planning, etc. Traditional studies in data envelopment analysis (DEA) view systems as a whole when measuring the efficiency, ignoring the operation of individual processes within a system.but in Network DEA we are allowed to consider the evaluation of changes occurred within the process. In this research, we propose a methodology named CINDB(Combined Interval Net DEA and BSC) to evaluate the performance of organization considering financial and non-financial perspectives, and we know The input and output measures for the integrated DEA-BSC model are grouped in ”cards” which are associated with ” BSC ”. BSC clear representation of the relationship and logic between the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process, and learning and growth.
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Measuring the performance of a production system has been an important task in management for purposes of control, planning, etc. Traditional studies in data envelopment analysis (DEA) view systems as a whole when measuring the efficiency, ignoring the operation of individual processes within a system.but in Network DEA we are allowed to consider the evaluation of changes occurred within the process. In this research, we propose a methodology named CINDB(Combined Interval Net DEA and BSC) to evaluate the performance of organization considering financial and non-financial perspectives, and we know The input and output measures for the integrated DEA-BSC model are grouped in ”cards” which are associated with ” BSC ”. BSC clear representation of the relationship and logic between the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process, and learning and growth.
Key concepts: Data envelopment analysis, Performance measurement, Task (project management), Computer science, Process (computing), Balanced scorecard, Production (economics), Process management