ABSTRACT
The supplier selection problem (SSP) is known as one of the major issues in the supply chain management area. In this field, the literature shows that the combination of green and agile indicators has been ignored by researchers. Hence, this research attempts to study the SSP considering green and agile aspects, simultaneously. To do this, an efficient hybrid fuzzy decision-making approach is developed based on the Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL), Fuzzy Best-Worst Method (FBWM), Fuzzy Analytic Network Process (FANP), and Fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje (FVIKOR) methods. Then, to show the efficiency and application of the proposed approach, a case study in the medical devices industry is investigated. After determining the main indicators and alternatives, the interrelationships between indicators are identified employing FDEMATEL. Then, the weights of indicators are calculated using integrated FBWM-FANP. Finally, the potential suppliers are ranked applying FVIKOR. Based on the obtained results, price and greenness are the more important aspects and also material costs, environmental performance evaluation, manufacture flexibility, service level, and system reliability are the most important criteria for the green-agile supplier selection problem in the medical devices industry. Since all of the consistency ratios are less than 0.1, the reliability of the results is proved. On the other side, the results of conducting sensitivity analysis show that by changing the defuzzification methods, there is no significant change in the obtained results that demonstrates the validity of the proposed approach. Eventually, based on the obtained results, suppliers #1 and #5 are the best suppliers for the considered company.
Subject(s)
Commerce , Industry , Fuzzy Logic , Reproducibility of ResultsABSTRACT
The rat model of dysmenorrhea, pelvic inflammation disease (PID), and uterine myoma were established to observe the effect ofGui-Zhi Fu-Ling Capsule (GZFLC) with the changes of main components. The molecular imprinted technology was used to quantitatively knock out main components in GZFLC (the knocked-out ratios were 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%). And the observation was made on the writhing times, latency, and effects on ET-1 and PGF2α of uterine tissues in the pitocin-induced dysmenorrhea rat model. Effects on TNF-α and IL-2 were observed in PID rat model induced by mixed bacteria plus mechanical damages. Effects on the weight and index of uterus, levels of E2 and P in serum were detected on the uterine myoma rat model induced by estrogen-burden. The results showed that the GZFLC efficacy was decreased with gradient knockout of 15 main components. When 10%-40% was knocked out, there was still significant difference compared to the model group (P 0.05). Meanwhile, the GZFLC efficacy was decreased significantly compared to the GZFLC group (P <0.05, orP < 0.01). It was concluded that 15 chemical compounds, which included gallic acid, paeoniflorin, paeonol, and etc., may be the main material basis of GZFLC. Meanwhile, it provided a useful reference for the quality control of main components in GZFLC.
ABSTRACT
G mutation were intervened and avoided the occurrence of deafness,1 babies with 235delC homozygote was confirmed severe sensorineural hearing loss in the hearing screening.Conclusion Newborn gene screening make up the defects of missed diagnosis in simple hearing screening in finding the newborn babies with late-onset deafness or the high risk as well as the pathogenic carriers.So the hearing and gene screening were necessary in the current situation,and this screening strategy would be developed further in Henan province.
