Marmar Mehrparvar

Modern manufacturing systems operate in a global and competitive environment, where sustainability has become a critical driver for performance. Performance measurement, as a method for monitoring enterprise processes, plays a central role in aligning operational efficiency with sustainable development goals. Recently, a number of different frameworks, systems, and methods have been proposed for small and medium enterprises. Key performance indicators (KPIs) are known to be powerful tools which provide accurate information regarding bottlenecks and weak spots in companies. The purpose of the current study is to develop an advanced KPI selection/prioritization model and apply it in practice. The initial set of KPIs are obtained based on a literature review. The expert’s knowledge, outlier methods, and optimization of the enterprise analysis model (EAM) are utilized for reducing the initial set of KPIs. A fuzzy analytical hierarchy process (AHP) is implemented for prioritization of the criteria. Five different MCDM (multi-criteria decision-making) algorithms are implemented for prioritization of the KPIs. The recently introduced RADAR method is extended to the fuzzy RADAR method, providing a flexible approach for handling uncertainties. An analysis and comparison of the rankings obtained by utilizing five MCDM algorithms is performed. The prioritized KPIs provide valuable input for improving KPIs with the highest impact in particular small and medium-sized enterprises (SMEs) when implementing sustainability-aligned performance metrics.

Dynamic analysis of functionally graded carbon nanotubes in axial direction under the follower load effect have been carried out in the present study. Variation Dynamic analysis of functionally graded carbon nanotubes in axial direction under the follower load effect have been carried out in the present study. Variation

The purpose of this study is to explore different methods to aggregate the expert’s decisions on the criteria prioritization as one of the steps in the fuzzy technique. The case study is an Automated vehicle, the TalTech iseAuto Av shuttle. In the current formulation, the prioritization of the criteria is based on the fuzzy analytic hierarchy process (AHP) in which the max-min method with geometric and arithmetic mean is used as the aggregation for the composition of the expert’s decisions. Accordingly, the aggregation of weights and priorities is done with geometric and arithmetic mean. After obtaining the weights and ranking the priorities the results are compared with previous studies to evaluate the difference that choosing the aggregation method can make.

Longitudinal wave propagation in functionally graded carbon nanotubes in axial direction has been studied in the present work. Variation of material properties of the nanotube is considered in exponential form. The nonlocal Rayleigh-Bishop rod model has been used in the modeling of nanotubes. Solution of the differential equation of motion with variable coefficients has been obtained with the numerical Haar Wavelet method. The effect of material grading index on the longitudinal wave response of axially graded nanotube have been investigated. Present results could be useful in the design of nano-wires.