Abstract

Improve Productivity by Implementing a Quality Management Cycle (Case Study: Internet and Financial Services Company)

Highlights

  • In addition to efficiency, the risks identified in all dealers will be assessed and analyzed by analyzing potential malfunction scenarios and identifying unacceptable risks by determining the acceptable risk weighting number

  • We begin by implementing a quality management system in the organization in the form of a quality management cycle (PDCA) and presenting it in the form of the following Figure 1

  • We analyse the efficiency of the dealers using the data envelopment analysis technique

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Summary

Introduction

Psomas et al [1] the main structure of the management of all organizations is the set of systems that describe how the organization operates. Using the Data Envelopment Analysis method, the performance of agents in the second half of 2015 and the first six months of 2016 will be calculated and will be monitored for productivity by using Malmquist Index, and the efficiency improvement rate will be measured over the past six months. At this stage, in addition to efficiency, the risks identified in all dealers will be assessed and analyzed by analyzing potential malfunction scenarios and identifying unacceptable risks by determining the acceptable risk weighting number.

Literature Review
Discussion
Conclusion and Suggestions
Findings
Determination of financial and economic indicators of the plan
Search for successful competitor companies in past periodicals
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