Filters

2010 - 20172
Reset filters

Settings

Subject: PerformanceWoS Q: Q2

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Article
    Citation - WoS: 27
    The Dea - Fuzzy Anp Department Ranking Model Applied in Iran Amirkabir University
    (Budapest Tech, 2010) Rouyendegh, Babak Daneshvar; Erol, Serpil
    Proposed in this study is a hybrid model for supporting the department selection process within Iran Amirkabir University. This research is a two-stage model designed to fully rank the organizational departments where each department has multiple inputs and outputs. First, the department evaluation problem is formulated by Data Envelopment Analysis (DEA) and separately formulates each pair of units. In the second stage, the pair-wise evaluation matrix generated in the first stage is utilized to fully rank-scale the units via the Fuzzy Analytical Network Process (FANP). The FANP method adopted here uses triangular fuzzy numbers. ANP equipped with fuzzy logic helps in overcoming the impreciseness in the preferences. DEA-FANP ranking does not replace the DEA classification model; rather, it furthers the analysis by providing full ranking in the DEA context for all departments, efficient and inefficient.
  • Thumbnail Image
    Article
    Citation - WoS: 28
    Citation - Scopus: 33
    Fluid Elements in Machine Tools
    (Elsevier, 2017) Wegener, Konrad; Mayr, Josef; Merklein, Marion; Behrens, Bernd-Arno; Aoyama, Tojiro; Sulitka, Matej; Moehring, Hans-Christian
    Fluids play a major role for production machinery and serve for very different tasks as lubricating, tempering, cleaning, transmitting force and energy. Due to maintenance requirements and the environmental impact their utilization is under discussion and alternatives are looked for. In this paper an overview of the latest research activities in the field of fluid elements in machine tools is presented. The topic of the paper includes an overview of the fluids used in machine tools, the usage of fluidic elements, supply and treatment units, and their influence on machine tools performance. A link to fluid media on energy efficiency is given. Research challenges in order to increase the performance of machine tools are discussed. The paper excludes metal working fluids, which have been treated in Brinksmeier et al. [33]. (C) 2017 Published by Elsevier Ltd on behalf of CIRP.