scholarly journals Smes’ Performance Evaluation and Optimization Based on DEA and CFI

2013 ◽  
Vol 4 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Zhao Shi ◽  
Josu Takala ◽  
Matti Muhos ◽  
Jyrki Poikkimaki ◽  
Yang Chen
Keyword(s):  
Performance Assessment ◽  
Performance Optimization ◽  
Dynamic Environment ◽  
Critical Factor ◽  
Assessment Method ◽  
Enterprise Performance ◽  
Optimization Strategy ◽  
Real World Data ◽  
Core Content ◽  
Technological Effectiveness

Abstract It is a core content of enterprise performance research evaluating and comparing enterprise performance in dynamic environment. In allusion to this problem, a variety of enterprise performance assessment methods and indexes systems are proposed. Data envelopment analysis (DEA) is a kind of effective mathematical model which is used for comparing the performance among enterprises or different units inside an enterprise, based on the real-world data. Through comparing the performance, DEA can evaluate the enterprise performance from scale effectiveness and technological effectiveness, and then get the performance optimization goals. Critical Factor Index (CFI) is a new enterprise performance assessment method proposed in recent years. This method, based on the performance perception of business leaders or staffs, evaluates the enterprise performance in different dimensions, and then gets the optimization strategy of enterprise resource allocation to improve integrated enterprise performance. This paper has structured a new evaluation and optimization system for performance of small and medium-sized enterprises (SMEs), which combine properly the DEA and CFI method to evaluate and optimize the SMEs’ performance comprehensively, and has confirm this system with data of 5 Finnish SMEs.

A novel performance assessment method of the carbon efficiency for iron ore sintering process

2021 ◽  
Vol 106 ◽  
pp. 44-53
Author(s):  
Kailong Zhou ◽  
Xin Chen ◽  
Min Wu ◽  
Yosuke Nakanishi ◽  
Weihua Cao ◽  
...  
Keyword(s):  
Performance Assessment ◽  
Iron Ore ◽  
Assessment Method ◽  
Sintering Process ◽  
Iron Ore Sintering ◽  
Carbon Efficiency ◽  
Iron Ore Sintering Process ◽  
Ore Sintering

Examining Coordination in Disaster Response Using Simulation Methods

2015 ◽  
Vol 12 (4) ◽  
pp. 891-914 ◽  
Author(s):  
Xuesong Guo ◽  
Naim Kapucu
Keyword(s):  
Computer Simulation ◽  
Performance Assessment ◽  
Petri Net ◽  
Disaster Response ◽  
Process Analysis ◽  
Critical Factor ◽  
System Optimization ◽  
Simulation Methods ◽  
Average Delay ◽  
Disaster Exercise

Abstract Purpose of the research is to examine coordination in disaster response by computer simulation using Petri net. We addressed issues on coordination in disaster response by focusing on interorganizational processes. Defining the processes according to disaster exercise, we developed the model based on Stochastic Petri Net. Index items, including average delay time and busyness probability, were introduced to facilitate discussion. Simulation demonstrated utilization of process analysis in performance assessment of collaborative disaster response. Since fragmentation is critical factor hindering efficient response, its remedy or elimination should be focused for system optimization.

Multi-Robot SLAM in Dynamic Environments with Parallel Maps

2021 ◽  
pp. 2150011
Author(s):  
Sajad Badalkhani ◽  
Ramazan Havangi ◽  
Mohsen Farshad
Keyword(s):  
Large Scale ◽  
Dynamic Environment ◽  
Dynamic Environments ◽  
Extensive Literature ◽  
Real World Data ◽  
Data Set ◽  
Cooperative Approach ◽  
Localization And Mapping ◽  
Multi Robot

There is an extensive literature regarding multi-robot simultaneous localization and mapping (MRSLAM). In most part of the research, the environment is assumed to be static, while the dynamic parts of the environment degrade the estimation quality of SLAM algorithms and lead to inherently fragile systems. To enhance the performance and robustness of the SLAM in dynamic environments (SLAMIDE), a novel cooperative approach named parallel-map (p-map) SLAM is introduced in this paper. The objective of the proposed method is to deal with the dynamics of the environment, by detecting dynamic parts and preventing the inclusion of them in SLAM estimations. In this approach, each robot builds a limited map in its own vicinity, while the global map is built through a hybrid centralized MRSLAM. The restricted size of the local maps, bounds computational complexity and resources needed to handle a large scale dynamic environment. Using a probabilistic index, the proposed method differentiates between stationary and moving landmarks, based on their relative positions with other parts of the environment. Stationary landmarks are then used to refine a consistent map. The proposed method is evaluated with different levels of dynamism and for each level, the performance is measured in terms of accuracy, robustness, and hardware resources needed to be implemented. The method is also evaluated with a publicly available real-world data-set. Experimental validation along with simulations indicate that the proposed method is able to perform consistent SLAM in a dynamic environment, suggesting its feasibility for MRSLAM applications.

Performance Optimization Strategy for Quantum Satellite Communication Based on Entanglement Feedback Control

2021 ◽  
Vol 58 (5) ◽  
pp. 0527002-527002271
Author(s):  
聂敏 Nie Min ◽  
张彦朋 Zhang Yanpeng ◽  
杨光 Yang Guang ◽  
张美玲 Zhang Meiling ◽  
裴昌幸 Pei Changxing
Keyword(s):  
Feedback Control ◽  
Performance Optimization ◽  
Satellite Communication ◽  
Optimization Strategy
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