TY - GEN
T1 - The measurement of stores efficiency in a retail chain using fuzzy data envelopment analysis
AU - Konyalıoğlu, Aziz Kemal
AU - Çayır, Sibel
AU - Yiğit, Nehir
AU - Özcan, Tuncay
PY - 2024/3/2
Y1 - 2024/3/2
N2 - The efficiency analysis of retail stores is critical to identify possible areas of improvement. At this point, data envelopment analysis (DEA) is widely used for efficiency measurement of service and production units. On the other hand, the values of input and output variables must be deterministic and precise in the conventional DEA models such as CCR and BCR. However, the input and output values are usually imprecise for real world problems. In order to overcome this shortcoming, fuzzy data envelopment analysis models have been developed. This study aims to use the fuzzy data envelopment analysis for measuring and ranking the efficiency of stores in a grocery retailer in Turkey. In this study, total floor area, average inventory at cost, total number of customers that visited the store and average number of employees in the store are considered as the input variables while GMROI (gross margin return on investment), net sales, inventory turnover and stock-out rate are considered as output variables in the fuzzy DEA. The proposed model is solved by using LINGO 17.0 optimization software. According to the model results, the inefficient stores are ranked and compared using a minimax regret approach.
AB - The efficiency analysis of retail stores is critical to identify possible areas of improvement. At this point, data envelopment analysis (DEA) is widely used for efficiency measurement of service and production units. On the other hand, the values of input and output variables must be deterministic and precise in the conventional DEA models such as CCR and BCR. However, the input and output values are usually imprecise for real world problems. In order to overcome this shortcoming, fuzzy data envelopment analysis models have been developed. This study aims to use the fuzzy data envelopment analysis for measuring and ranking the efficiency of stores in a grocery retailer in Turkey. In this study, total floor area, average inventory at cost, total number of customers that visited the store and average number of employees in the store are considered as the input variables while GMROI (gross margin return on investment), net sales, inventory turnover and stock-out rate are considered as output variables in the fuzzy DEA. The proposed model is solved by using LINGO 17.0 optimization software. According to the model results, the inefficient stores are ranked and compared using a minimax regret approach.
KW - data envelopment analysis
KW - efficiency measurement
KW - fuzzy sets
KW - retailing
U2 - 10.1007/978-3-031-53991-6_7
DO - 10.1007/978-3-031-53991-6_7
M3 - Conference contribution book
AN - SCOPUS:85187795435
SN - 9783031539909
T3 - Lecture Notes in Mechanical Engineering
SP - 85
EP - 94
BT - Industrial Engineering in the Industry 4.0 Era
A2 - Durakbasa, Numan M.
A2 - Gençyılmaz, M. Güneş
PB - Springer
CY - Cham
T2 - 23rd International Symposium for Production Research
Y2 - 5 October 2023 through 7 October 2023
ER -