TITLE:
Benchmarking in the Supply Chain Using Data Envelopment Analysis
AUTHORS:
Necmi K. Avkiran, Morteza Shafiee, Hilda Saleh, Mahdi Ghaderi
KEYWORDS:
Supply Chain Management, Benchmarking, Data Envelopment Analysis, Sys-tem Dynamics Simulation
JOURNAL NAME:
Theoretical Economics Letters,
Vol.8 No.14,
October
24,
2018
ABSTRACT: It is necessary to evaluate performance using a
proper combination of all resources of supply chain in the best possible way to
provide products and services in the market. One strategy to measure supply
chain efficiency is the data envelopment analysis (DEA), which involves use of
current inputs and outputs to evaluate supply chain performance. Therefore, the
outcome of each DEA evaluation is not suitable for providing suitable benchmark
for the future. Hence, managers are not able to improve the activities of their
subset using the results of DEA model. For this purpose, we forecast data of
units under evaluation using system dynamics simulation and then we present a proper model to formulate
strategies for improving performance using the proposed DEA model. Finally, we
implemented the designed algorithm in the milk industry of Fars province (Iran),
and proper strategies for improving the efficiency of this industry were
developed.