M. Fallah ‎Jelodar - Department of Mathematics, Ayatollah Amoli Branch, Islamic Azad University, Amol, ‎Iran.
M. Sanei - Department of Mathematics, Central Tehran Branch, Islamic Azad University, Tehran,‎Iran.‎
S. Mamizadeh-‎Chatghayeh‎ - Young Researchers and Elite club, Central Tehran Branch, Islamic Azad University, Tehran, ‎Iran.‎‎

The performance of a supply chain can be evaluated in either a cross-sectional or a time series manner, and data envelopment analysis is a useful method for both types of evaluation. In this paper we develop an index and indicator of productivity change that can be used with radial and non-radial models for supply chain malmquist index. The supply chain malmquist productivity index (SCMPI) can be decomposed into two components: one is measuring the technical change (TC) and the other measuring technical efficiency change (TEC). So that we propose a supply chain DEA models that have supplier-manufacturer ‎structures.‎

Supply Chain Management, Data Envelopment Analysis, Productivity Malmquist ‎index