Presenting a New Model for Bank’s Supply Chain Performance Evaluating with DEA Solution Approach

author

  • R .Shahverdi Department of mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran.
Abstract:

Data Envelopment Analysis (DEA) is a method for measuring the efficiency of peer decision making units (DMUs) with multiple inputs and outputs. The traditional DEA treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. This carries the notion of missing some intermediate measures in the process of changing the inputs to outputs of DMU and as a result the effect of these measures in the process of performance evaluation is not considered. Recently, some models are created in DEA which can evaluate the system in multi stages and consider the relations between the systems. The objective of this paper is to investigate efficiency decomposition in a three-stage process that has a two independent parallel stages linking with a one final stage. This three stage processes calculate the efficiency of organization with considering intermediate constraints. Finally, we illustrate the proposed method with numerical example

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

presenting a new model for bank’s supply chain performance evaluating with dea solution approach

data envelopment analysis (dea) is a method for measuring the efficiency of peer decision making units (dmus) with multiple inputs and outputs. the traditional dea treats decision making units under evaluation as black boxes and calculates their efficiencies with first inputs and last outputs. this carries the notion of missing some intermediate measures in the process of changing the inputs to...

full text

A Hybrid Model for Evaluating Leagile Supply Chain Performance in Industry

Supply chain management (SCM) is one of the most important of the areas that have recently generated a great deal of interest in both industry and academia. SCM is considered an integrating philosophy to manage the total flows of materials, products and information from suppliers to the ultimate customers. The changing conditions of competition, for organizations to become more responsive and a...

full text

Measuring Supply Chain Efficiency: a Dea Approach

obtained through CRS model is 0.868, indicating scope for lots of improvement for the Pharmaceutical companies k ey words: Volume 5• Number 1 • January June 2012

full text

A New Mathematical Model for a Multi-product Supply Chain Network with a Preventive Maintenance Policy

The supply chain network design (SCND) implicates decision-making at a strategic level and makes it possible to create an effective and helpful context for managing. The aim of the network is to minimize the total cost so that customer's demands should be met. Preventive maintenance is pre-determined work performed to a schedule with the aim of preventing the wear and tear or sudden failure of ...

full text

Evaluating Multistage Supply Chain Efficiency with Dea Models

In order to evaluate the multistage supply chain efficiency, an appropriate performance evaluation system is importantly required. A representative multistage supply chain has three members composing a supplier-manufacturer-retailer structure, and has intermediate measures connecting these supply chain members. Existing data envelopment analysis (DEA) models have difficulties in measuring these...

full text

A new fuzzy network slacks-based DEA model for evaluating performance of supply chains with reverse logistics

Supply chain performance evaluation problems are complex problems with multiple criteria and multi-layered internal linking activities. Data Envelopment Analysis (DEA) has been used to evaluate the relative performance of organizational units called Decision Making Units (DMUs). However, the conventional DEA models cannot take into account the complex nature of supply chains with internal linki...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 2  issue 4

pages  509- 526

publication date 2014-12-25

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023