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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Ranking Alternative Production Scenarios Using Super-Efficiency Analysis

Sofianopoulou, Stella (2010) Ranking Alternative Production Scenarios Using Super-Efficiency Analysis. In: IEEE International Conference on Industrial Engineering & Engineering Management (IEEM 2010), 7-9 Dec. 2010, Macau.

Item Type: Conference or Workshop Item (Paper)

Abstract

The modern, particularly competitive and demanding operational environment has led many companies to a continuous effort for implementing techniques and evaluating alternative production scenarios, which will allow them to optimise their production processes and reduce their cost. In this study, a consumer goods manufacturing company was selected to implement modern optimisation techniques in its production processes and then to evaluate the efficiency of potential changes on its operation as well as to record the problems and difficulties arising in such a case. Data Envelopment Analysis, a linear programming based technique was employed to evaluate the efficiency of twelve alternative production layout scenarios. Those scenarios were created through the application of advanced Group Technology techniques and some basic indices/characteristics were attached to each one of those layouts. Results indicated that more than one of these scenarios can be effective. An additional analysis for ranking those scenarios was conducted using the super-efficiency model. According to the results of this study, nine of the proposed scenarios are efficient and thus significant improvements can be achieved in the system’s performance, without actually changing its basic production parameters. It is concluded that both the results of the evaluation and the experience gained during the implementation phase, can be very useful for supporting the goals and decisions of the company.

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More Information

Depositing User: Stella Sofianopoulou

Identifiers

Item ID: 10122
URI: http://sure.sunderland.ac.uk/id/eprint/10122

Users with ORCIDS

ORCID for Stella Sofianopoulou: ORCID iD orcid.org/0000-0002-7063-9489

Catalogue record

Date Deposited: 20 Nov 2018 16:00
Last Modified: 20 May 2019 12:01

Contributors

Author: Stella Sofianopoulou ORCID iD

University Divisions

Faculty of Business, Law and Tourism

Subjects

Business and Management

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