DEA based production planning considering technology heterogeneity with undesirable outputs
RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 2, pp. 325-339.

Many researchers have concentrated on production planning issues by using data envelopment analysis (DEA). However, the assumption made by existing approaches that all decision making units (DMUs) are equipped with the same level of production technology is not realistic. Additionally, with the development in the society, environmental factors have come to play important roles in the production process as well. Thus, undesirable outputs should be considered in production planning problems. Therefore, this paper considers the technology heterogeneity factors and undesirable outputs using the data envelopment analysis-based production planning approach. Two examples containing a numerical example that compare with other method and a real sample that concerns the industrial development of 30 provinces in China are used to validate the applicability of our approach.

DOI : 10.1051/ro/2018098
Classification : 90B30, 90B50
Mots-clés : Data envelopment analysis, production planning, undesirable outputs, technology heterogeneity
@article{RO_2020__54_2_325_0,
     author = {Liang, Changyong and Wang, Binyou and Ding, Tao and Ma, Yinchao},
     title = {DEA based production planning considering technology heterogeneity with undesirable outputs},
     journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
     pages = {325--339},
     publisher = {EDP-Sciences},
     volume = {54},
     number = {2},
     year = {2020},
     doi = {10.1051/ro/2018098},
     mrnumber = {4069298},
     zbl = {1437.90070},
     language = {en},
     url = {http://www.numdam.org/articles/10.1051/ro/2018098/}
}
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Liang, Changyong; Wang, Binyou; Ding, Tao; Ma, Yinchao. DEA based production planning considering technology heterogeneity with undesirable outputs. RAIRO - Operations Research - Recherche Opérationnelle, Tome 54 (2020) no. 2, pp. 325-339. doi : 10.1051/ro/2018098. http://www.numdam.org/articles/10.1051/ro/2018098/

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