2013 ◽  
Vol 4 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Zhao Shi ◽  
Josu Takala ◽  
Matti Muhos ◽  
Jyrki Poikkimaki ◽  
Yang Chen

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.


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

2021 ◽  
Vol 4 (2) ◽  
pp. 100
Author(s):  
Ahmad Ali Hakam Dani ◽  
Rinto Suppa

Pada Tahun 2010, Pemerintah melalui Kementerian Komunikasi dan Informatika meluncurkan Program Pusat Layanan Internet Kecamatan (PLIK) dan Program Mobile Pusat Layanan Internet Kecamatan (M-PLIK). Program ini merupakan bagian dari Program Layanan Universal Service Obligation (USO) dengan layanan dasar (voice) hingga layanan data (internet). Namun setelah di evaluasi, ditemukan bahwa program ini menimbulkan persolan dimana-mana, mulai dari penyebaran program ini yang tidak merata, masalah utang piutang dengan pihak yang terlibat, terbengkalainya puluhan armada M- PLIK di beberapa daerah, sampai kepada terendusnya tindak korupsi yang dilakukan pejabat Kemkominfo. Berdasarkan hasil pengamatan tentang kondisi Program M-PLIK di Kota Palopo, informasi bahwa M-PLIK masih beroperasi di Kota Palopo, namun sejak Tahun 2015 tidak lagi digunakan sebagai fungsi utamanya, tetapi hanya digunakan sebagai mobil operasional Kemkominfo di Kota Palopo sehingga program ini tidak lagi berjalan dengan optimal. Melalui penelitian ini, dirumuskan strategi-strategi yang digunakan untuk mengoptimalkan kembali Program M-PLIK ini. Hasil penelitian ini berupa formulasi strategi optimalisasi. Hasil strategi-strategi optimalisasi dipetakan ke dalam tiga kategori yaitu strategi optimalisasi berdasarkan pencapaian kinerja maksimal, strategi optimalisasi berdasarkan penggunaan biaya minimal, dan kombinasi terbaik dari kinerja maksimal dan biaya minimal.  In 2010, the Government through the Ministry of Communication and Informatics launched the District Internet Service Center Program (PLIK) and the District Internet Service Center Mobile Program (M-PLIK). This program is part of the Universal Service Obligation (USO) with basic services (voice) to data services (internet). However, after being evaluated, it was found that this program caused problems everywhere, starting from the uneven distribution of this program, debt problems with the parties involved, the neglect of dozens of M-PLIK fleets in several areas, to the detection of corruption by the Ministry of Communication and Information officials. Based on observations about the conditions of the M-PLIK Program in Palopo City, information was obtained that the M-PLIK fleet is still operating in Palopo City. However, since 2015 it has no longer been used as its main function but is only used as an operational car for the Ministry of Communication and Information official in Palopo City so that this program is not running optimally. Through this research, strategies are formulated to optimize the M-PLIK Program. The results of this study are in the form of an optimization strategy formulation. The results of the optimization strategies are mapped into three categories, namely optimization strategies based on achieving maximum performance, optimization strategies based on the use of minimal costs, and the best combination of maximum performance and minimum costs.


2018 ◽  
Vol 10 (1) ◽  
pp. 12-23 ◽  
Author(s):  
Guangxuan Chen ◽  
Liping Ding ◽  
Guangxiao Chen ◽  
Panke Qin

This article explores a method to solve the security problems such as limited single-server processing power and single point of failure, and so on, a newly designed and developed Message-Oriented Middleware that supports clustering features. By improving the traditional reverse proxy cluster system, Message-Oriented Middleware has been made more applicable to message transmission services. A method of dynamic load balancing and load transfer was based on a variety of factors that was also designed according to the characteristics of a message service system. The method can solve problems like system instability and performance bottle-neck in Message-Oriented Middleware effectively and can increase the throughput of the system obviously.


2011 ◽  
Vol 403-408 ◽  
pp. 1306-1308
Author(s):  
Zhang Hong Yu ◽  
Yu Qing Jian

This study if from the Building of "network hard drive" service system of Hebei Normal University of Science and Technology. First of all, combined with the user's characteristics and application needs of college campus network, depth study is conducted on the campus network storage program, and designs a fully functional network hard drive system, and on this basis, Identifying the key factors of impacting performance through research and analysis to system, studeying the optimization strategies and methods to services; proposing the design program of performance optimization system through experimental and testing of all optimization strategies to system, and ultimately achieve.


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