Data Envelopment Analysis (DEA) is one of the best-known efficiency evaluation methods due to its advantages in selection of weights. Many research papers have extensively discussed the issue of weight restrictions, rather than those implied in the model itself. However, this often leads to a failure to represent the relations of certain weights, as well as underestimation of the efficiency of ...

a. Mechanical Engineering Laboratory, National Engineering School of Monastir, Monastir University, Av. Ibn Eljazzar, 5019 Monastir, Tunisia. a, b. LIPPS, ÉTS, 1100, Notre-Dame Ouest, Montréal, H3C1K3, Québec, Canada. [email protected], [email protected] Abstract: The part and assembly requirements are specified by the tolerances. In the Digital Mock-Up (DMU), the product ...

In wireless sensor networks data aggregation is a very important one and at the same time the aggregation should be energy efficient and a lesser amount of delay. To solve the problem we propose Delay Efficient Distributed Data Aggregation (DEDA) Scheduling Algorithm for Wireless Sensor Network (WSN) to handle the delay and energy tradeoff in the process of aggregation using the timeout concept...

Efficiency is important in the assessment of a performance on an institution or organization. After efficiency continued with measurement its productivity. The purpose this paper to analyse and productivity 7 study programs at As Syafi’iyah Islamic University. results obtained for value 2017/2018-2018/2019 academic year using Data Envelopment Analysis method there are 6 as Decision Making Unit ...

Anchor DMUs are a new class in the general classification of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). An anchor DMU in DEA is an extreme-efficient DMU that defines the transition from the efficient frontier to the free-disposability part of the boundary of the Production Possibility Set (PPS). In this paper, the anchor points of the PPS of the CCR model are investigated....

in this paper, by introducing two virtual decision-making units (dmus) called ideal dmu (idmu) and anti-ideal dmu (admu) with fuzzy inputs-outputs, the efficiency evaluation of dmus are done by fuzzy data envelopment analysis (fdea). therefore, we evaluate dmus from the perspective of the best and worst possible relative efficiency. for each dmu two efficiencies are calculated while inputs and ...

Mock-up simulation is a design or human factor research method to help designers identify key issues and factors of product environment. This paper discusses physical mock-up (PMU) digital (DMU) applications in healthcare building development through narrative literature review. The following questions are addressed this paper: what would the purposes using PMU DMU simulations be? At which phas...

One of the issues in Data Envelopment Analysis (DEA) is sensitivity and stability region of the speci c decision making unit (DMU), included ecient and inecient DMUs. In sensitivity analysis of ecient DMUs,the largest region should be found namely stability region thatdata variations are only for ecient DMU under evaluation and the data for the remainingDMUs are assumed xed. Also ecient DMU u...