lowered from 110 J in the peak-aged condition (5 hours) to but not in high-cycle fatigue. This difference is also reflected 70 J in the overaged condition (10 hours). Since the fracture in the S-N curves, where lines with different slopes are occurred in a mostly transgranular manner, [8,9] the embrittleneeded to fit the high-cycle and low-cycle data. ment was not severe, as compared to the intergranular The martensitic transformation is the basis of the superembrittlement, which produced very low impact toughness elastic and shape-memory properties. Yet, most existing values below 10 and 5 J, even at 300 ЊC, in the Mo and studies do not explore the influence of the martensitic trans-MoW steels, respectively. In the overaged condition, since formation on fatigue properties. The study by Miyazaki [4] the presence of cementite [9] indicates that there are sufficient shows that the martensitic transformation can influence the amounts of W available to tie up the P, no severe intergranufatigue properties, but does not explicitly examine it. We lar embrittlement could occur.propose to examine the influence of the martensitic transformation on the fatigue properties of NiTi by exploring meanstrain effects on the fatigue properties. Mean stress and mean-strain determine the phase of the material in superelas-This work was partly supported by the POSCO. tic specimens. Depending on the mean strain, a specimen may contain austenite (A), martensite (M), or both phases (AM), and different deformation modes are associated with REFERENCES each of these cases. In numerous applications, loads cycle 1.
In the last decades, supply chain management (SCM) has become a significant issue in real life and in the literature due to increasing globalisation. Moreover, supplier selection and periodical evaluation has become an important tool for the companies in order to maintain an effective SCM. The main goal of this study is to construct an integrated method to build a decision support system for supplier evaluation and selection that incorporates quantitative and qualitative calculations together to deal with vague and uncertain data available to decision makers. A methodology, which is capable of evaluating and monitoring suppliers' performance, is constructed, using fuzzy analytic hierarchy process (AHP) to weight the established decision criteria and ELECTRE III to evaluate, rank and classify performance of suppliers regarding relative criteria. The proposed methodology is applied to a real-life supplier-selection and classification problem of a pharmaceutical company.
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