MapReduce system productivity measurement model and measuring approach

Author(s):  
Dongyu Feng ◽  
Wenqian Shang ◽  
Ligu Zhu ◽  
Lei Zhang
Author(s):  
Jack E. Triplett

This article considers approaches to tracking changes in the productivity of a health care system over time. Economists generally believe that measured productivity growth in the sector is biased downward because of difficulties in measuring medical care output accurately and also that measurement errors are pervasive in some of the inputs. This article discusses the most essential tasks of getting the data right in all productivity measurement. It also discusses some of the economic implications of the fact that medical care, though it is demanded to improve health, does not, by itself, produce health. It considers an alternative concept for medical care output and necessity to separate trends in medical care expenditures into trends in quantities of treatments and prices or costs of treatments. Improving the database for the analysis of medical care productivity deserves high priority because vital questions of health care policy demand exactly the same data.


1999 ◽  
Vol 60-61 ◽  
pp. 69-77 ◽  
Author(s):  
Wen-Chih Chiou ◽  
Hsiu-Wei Kuo ◽  
Iuan-Yuan Lu

2021 ◽  
Vol 26 (1) ◽  
pp. 46-55
Author(s):  
Bella Novia Laratiwi ◽  
Tri Mulyanto ◽  
Mohamad Yamin

Analisis produktivitas bertujuan untuk mengukur apakah sumber daya yang digunakan dalam proses produksi sudah optimal dalam menghasilkan profitabilitas. Profitabilitas adalah kemampuan perusahaan memperoleh laba dari penjualan. Analisis produktivitas yang digunakan adalah Multi Factor Productivity Measurement Model (MFPMM) yaitu pengukuran produktivitas dengan mempertimbangkan semua faktor produksi seperti bahan baku, tenaga kerja, energi dan sebagainya. Analisis produktivitas dilakukan pada PT X yang memproduksi natural sweeteners untuk mengetahui tingkat efisiensi penggunaan sumber daya produksi sehingga dapat dilakukan langkah selanjutnya guna meningkatkan profitabilitas. Berdasarkan hasil pengolahan data pada variabel input berupa material/bahan baku, tenaga kerja dan energi didapatkan hasil bahwa produksi Gula Aren mengalami penurunan produktivitas dengan penurunan profitabilitas sebesar profitabilitas –Rp. 734.952.749. Tingkat produktivitas Gula Aren di PT X diketahui sebesar 95,56%. Tingkat produktivitas Gula Kelapa di PT X didapatkan sebesar101,88% yang menunjukkan peningkatan dengan profitabilitas Rp. 635.660.145.


Author(s):  
Wenting Zhan ◽  
Wei Pan

Modularization and mechanization are widely promoted due to their potential benefits in enhancing site efficiency. However, the outcomes of the implementation lack quantitative supports at the project level. This paper aims to develop a quantitative evidence-based methodology for measuring site efficiency and evaluating the outcomes of the two technologies. Applying the proposed methodology to a real-life building construction project, the simulation results of multiple scenarios show that site efficiency is likely to be enhanced by encouraging the utilisation of laboring-saving materials and equipment within the limited project budget. The findings provide quantitative evidence to encourage technological innovation in construction materials and equipment, thereby demonstrating the potential of substituting materials or equipment for labor in benefiting site efficiency of a construction project through adopting modularization and mechanization.


Author(s):  
Vesa Johannes Kämäräinen ◽  
Antti Peltokorpi ◽  
Paulus Torkki ◽  
Kaj Tallbacka

Purpose Healthcare productivity is a growing issue in most Western countries where healthcare expenditure is rapidly increasing. Therefore, accurate productivity metrics are essential to avoid sub-optimization within a healthcare system. In this article, we focus on healthcare production system productivity measurement. Design/methodology/approach Traditionally, healthcare productivity has been studied and measured independently at the unit, organization, and system level. Suggesting that productivity measurement should be done in different levels, while simultaneously linking productivity measurement to incentives, this study presents the challenges of productivity measurement at the different levels. The study introduces different methods to measure productivity in healthcare. In addition, it provides background information on the methods used to measure productivity and the parameters used in these methods. A pilot investigation of productivity measurement is used to illustrate the challenges of measurement, to test the developed measures, and to prove the practical information for managers. Findings The study introduces different approaches and methods to measure productivity in healthcare. Research limitations/implications Practical implications A pilot investigation of productivity measurement is used to illustrate the challenges of measurement, to test the developed measures, and to prove the practical benefits for managers. Originality/value We focus on the measurement of the whole healthcare production system and try to avoid sub-optimization. Additionally considering an individual patient approach, productivity measurement is examined at the unit level, the organizational level, and the system level.


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