A Study of the Efficiency of Polish Foundries Using Data Envelopment Analysis

• Autorzy: Stawowy A. , Duda J.

Identyfikatory

DOI

10.1515/afe-2017-0039

• Języki publikacji: EN

Abstrakty

EN

The article presents a study on the effectiveness of the foundries using Data Envelopment Analysis (DEA) method. The aim of the article is to analyze the usefulness of DEA method in the study of the relative efficiency of the foundries. DEA is a benchmarking technique based on linear programming to evaluate the effectiveness of the analyzed objects. The research was conducted in four Polish and two foreign plants. Evaluated foundries work in similar markets and have similar production technology. We created a DEA model with two inputs (fixed assets and employment) and one output (operating profit). The model was produced and solved using Microsoft Excel together with its Solver add-in. Moreover, we wrote a short VBA script to perform automating calculations. The results of our study include a benchmark and foundries’ ranking, and directions to improve the efficiency of inefficient units. Our research has shown that DEA can be a very valuable method for evaluating the efficiency of foundries.

Słowa kluczowe

EN

foundry industry; benchmarking; data analysis; application of information technology; efficiency

PL

przemysł odlewniczy; benchmarking; analiza danych; zastosowanie technologii informacyjnch; efektywność

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2017
• Tom: Vol. 17, iss. 1
• Strony: 223--227
• Opis fizyczny: Bibliogr. 6 poz., il., rys., tab.

Twórcy

autor

Stawowy A.

• AGH University of Science and Technology, Faculty of Management ul. Gramatyka 10, 30-067 Kraków

autor

Duda J.

• AGH University of Science and Technology, Faculty of Management ul. Gramatyka 10, 30-067 Kraków

Bibliografia

• [1] Charnes, A., Cooper, W.W. & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research. 2(6), 429-444.
• [2] Cooper, W.W., Seiford, L.M. & Tone, K. (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. New York: Springer US.
• [3] Guzik, B. (2009). Basic analytical capabilities of the CCR-DEA model. Operations Research and Decision. 1, 55-75. (in Polish).
• [4] Zhou, P., Ang, B.W. & Poh, K.L. (2007). A survey of data envelopment analysis in energy and environmental studies. European Journal of Operational Research. 189(1), 1-18.
• [5] Zhu, J. (2014). Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets. Berlin, New York: Springer International Publishing.
• [6] Zhu, J. (Ed.) (2016). Data Envelopment Analysis. A Handbook of Empirical Studies and Applications. New York: Springer US.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)