Developing a Two-Stage Network Data Envelopment Analysis Model with Desirable and Undesirable Outputs (Case Study of Butter Manufacturing Industry)
Subject Areas : International Journal of Industrial Mathematicsعاطفه شیروانی 1 , امیر عزیزی 2
1 - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - Department of Industrial Engineering, Science and Research branch, Islamic Azad University, Tehran, Iran.
Keywords: two-stage production network, Undesirable Output, desirable output, Efficiency, Data Envelopment Analysis,
Abstract :
Determining and measuring efficiency is an important strategy in decision making. Due to the lack of transparency in the efficiency of production stages in Butter production units, the purpose of this study is to design a data envelopment analysis model to evaluate the efficiency of production stages of these units. The contribution of this research is to develop a model for evaluating the efficiency of a two-stage production system with both desirable and undesirable output using the network model of Khalili and Shahmir (2015). The developed two-stage model has been conducted using accurate and certain data of twenty Butter manufacturing factories in 1399, which can evaluate efficiency separately and in an integrated manner. At the end of the first stage, there are two types of desired output. There is a desired output of breakfast cream that does not enter the second stage of production and it is supplied to market for sale, and another desirable output is the pasteurized cream that is transferred to the second stage of production. At the end of the second stage, a desirable output, which is the packaged butter and an undesirable output, which is butter dough are obtained. The efficiency of all twenty units was evaluated and compared. Depending on the efficiency of the whole process, there was only one efficient unit. According to the efficiency of the first stage, there was only one efficient unit out of twenty units, and according to the second stage, there are two efficient units. The conclusion is that this industry has a high inefficiency in the factories located in provinces of Tehran and Alborz on their production process. Thus, it is necessary for the managers of this industry to increase efficiency of their production process.
[1] D. Li, M. Q. Wang, C. Lee, The waste treatment and recycling efficiency of industrial waste processing based on two-stage data envelopment analysis with undesirable inputs, Journal of Cleaner Production 242 (2020) 118-127.
[2] G. lgn, S. Seda, K. Murat, Y. Birol, Measuring the efficiency of Turkish maternal and child health hospitals: A two-stage data envelopment analysis, Evaluation and Program Planning 91 (2022) 102-123.
[3] H. Omrani, A. Emrouznejad, M. Shamsi, P. Fahimi, Evaluation of insurance companies considering uncertainty: A multi-objective network data envelopment analysis model with negative data and undesirable outputs, Socio-economic planning sciences 11 (2022) 101-130.
[4] H. Syarifa. Manufacturing enterprise performance using network DEA: a profitability and marketability framework, International Journal of Business Excellence 25 (2021) 277-299.
[5] O. Haruna Ezekiel, E. Samuel Elizabeth, T. Ibinayo Blessing, Economic and scale efficiency of broiler production in the federal capital territory, Abuja Nigeria: a data envelopment analysis approach. RJOAS 7 (2020) 103-121, http://dx.doi.org/10. 18551/rjoas.2020-07.16/
[6] Z. Hashemi, M. Bonyadian, H. Moshtaghi, Evaluation of antibiotic resistance pattern in enterotoxin-producing Staphylococcus aureus bacteria isolated from creamy sweets in Shahrekord city, (1399).
[7] G. Jahanshahloo, F. Hosseinzadeh Lotfi, H. Nikomram, Data envelopment analysis and its applications, Nafis publication, (1389).
[8] M. D. Kremantzis, B. Patrick, K. Jonathan, A fairer assessment of DMUs in a generalised two-stage DEA structure, Expert Systems with Applications 187 (2022) 115-121.
[9] A. Kumar, G. Negi, S. Pant, M. Ram, S. C. Dimri,Availability-Cost Optimization of Butter Oil Processing System by Using Nature Inspired Optimization Algorithms, Reliability: Theory & Applications SI 2 (2021) 188-200.
[10] K. Khalili-Damghani, Z. Shahmir, Uncertain network data envelopment analysis with undesirable outputs to evaluate the efficiency of electricity power production and distribution processes, Computers & Industrial Engineering 88 (2015) 131-150.
[11] M. Momeni, H. Safari, M. Rostami, A. Mostafaei, R. Soleimani Damaneh, Design of a non-radial network data envelopment analysis model for performance evaluation, Journal of Management Studies (Improvement and ransformation) 26 (1396) 1-23.
[12] A. Mohaghar, H. Safari, A. R. Amirteimoori, M. Soufi,A New Data Envelopment Analysis Model for Efficiency easurement of Decision Making Units with Parallel Network Structure, Journal of Operational Research In Its Applications (Applied Mathematics)- Lahijan Azad University 13 (2016) 9-26.
[13] M. Nikabadi, A. Oveysi Imran, K. Yakideh, Presenting a network data envelopment analysis model with a combination of desirable and undesirable intermediate and final outputs, Journal of Operations Research in its Applications 14 (1396) 116-95.
[14] Q. Wang, J. Tang, G. Choi, A two-stage ecoefficiency evaluation of Chinas industrial sectors: A dynamic network data envelopment analysis (DNDEA) approach, Process Safety and Environmental Protection 148 (2021) 879-892.
[15] Y. Li, H. Xue, L. Lin, F. Li, L. Liang, G. Kou, Provincial production and pollution treatment performance in China based on a two-stage eco-inefficiency approach with undesirable intermediate outputs, Journal of Cleaner Production 331 (2022) 13-26.