A Model for Cost Deviation Analysis and Prescriptive Analytics

2020 ◽  
pp. 163-172
Author(s):  
Victor Jimenez ◽  
Paulo Afonso
Keyword(s):  
Deviation Analysis ◽  
Prescriptive Analytics

Procurement Analytics: Enabling Data Architectures in the Age of Big Data

2020 ◽  
Author(s):  
Michael Goul ◽  
T. S. Raghu ◽  
Ziru Li
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Research Literature ◽  
Structured Interviews ◽  
Data Space ◽  
Prescriptive Analytics ◽  
Data Architecture ◽  
The Future ◽  
High Level ◽  
Area Data

As procurement organizations increasingly move from a cost-and-efficiency emphasis to a profit-and-growth emphasis, flexible data architecture will become an integral part of a procurement analytics strategy. It is therefore imperative for procurement leaders to understand and address digitization trends in supply chains and to develop strategies to create robust data architecture and analytics strategies for the future. This chapter assesses and examines the ways companies can organize their procurement data architectures in the big data space to mitigate current limitations and to lay foundations for the discovery of new insights. It sets out to understand and define the levels of maturity in procurement organizations as they pertain to the capture, curation, exploitation, and management of procurement data. The chapter then develops a framework for articulating the value proposition of moving between maturity levels and examines what the future entails for companies with mature data architectures. In addition to surveying the practitioner and academic research literature on procurement data analytics, the chapter presents detailed and structured interviews with over fifteen procurement experts from companies around the globe. The chapter finds several important and useful strategies that have helped procurement organizations design strategic roadmaps for the development of robust data architectures. It then further identifies four archetype procurement area data architecture contexts. In addition, this chapter details exemplary high-level mature data architecture for each archetype and examines the critical assumptions underlying each one. Data architectures built for the future need a design approach that supports both descriptive and real-time, prescriptive analytics.

scholarly journals A Remote Sensor System Based on TDLAS Technique for Ammonia Leakage Monitoring

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2448
Author(s):  
Hongbin Lu ◽  
Chuantao Zheng ◽  
Lei Zhang ◽  
Zhiwei Liu ◽  
Fang Song ◽  
...  
Keyword(s):  
Signal Processing ◽  
Limit Of Detection ◽  
Processing Technique ◽  
Tunable Diode Laser ◽  
Sensor System ◽  
Signal Processing Technique ◽  
Suppression Effect ◽  
Output Wavelength ◽  
Deviation Analysis ◽  
Remote Sensor

The development of an efficient, portable, real-time, and high-precision ammonia (NH3) remote sensor system is of great significance for environmental protection and citizens’ health. We developed a NH3 remote sensor system based on tunable diode laser absorption spectroscopy (TDLAS) technique to measure the NH3 leakage. In order to eliminate the interference of water vapor on NH3 detection, the wavelength-locked wavelength modulation spectroscopy technique was adopted to stabilize the output wavelength of the laser at 6612.7 cm−1, which significantly increased the sampling frequency of the sensor system. To solve the problem in that the light intensity received by the detector keeps changing, the 2f/1f signal processing technique was adopted. The practical application results proved that the 2f/1f signal processing technique had a satisfactory suppression effect on the signal fluctuation caused by distance changing. Using Allan deviation analysis, we determined the stability and limit of detection (LoD). The system could reach a LoD of 16.6 ppm·m at an average time of 2.8 s, and a LoD of 0.5 ppm·m at an optimum averaging time of 778.4 s. Finally, the measurement result of simulated ammonia leakage verified that the ammonia remote sensor system could meet the need for ammonia leakage detection in the industrial production process.

Geometric morphometric contribution to septal deviation analysis

2019 ◽  
Vol 41 (7) ◽  
pp. 823-831 ◽  
Author(s):  
Thomas Radulesco ◽  
Djamel Hazbri ◽  
Patrick Dessi ◽  
Pascal Adalian ◽  
Justin Michel
Keyword(s):  
Septal Deviation ◽  
Geometric Morphometric ◽  
Deviation Analysis

Prescriptive Analytics Determining Which Patients Undergoing Simultaneous Liver-Kidney Transplant May Benefit From High-Risk Organs

2021 ◽  
Vol 19 (12) ◽  
pp. 1303-1312
Author(s):  
Mohini Dasari ◽  
James D. Perkins ◽  
James B. Hendele ◽  
Nicolae Leca ◽  
Scott W. Biggins ◽  
...  
Keyword(s):  
High Risk ◽  
Kidney Transplant ◽  
Prescriptive Analytics

A Prescriptive Analytics Method for Cost Reduction in Clinical Decision Making

MIS Quarterly ◽  
2020 ◽  
Vol 45 (1) ◽  
pp. 83-115
Author(s):  
Xiao Fang ◽  
Yuanyuan Gao ◽  
Paul Jen-Hwa Hu
Keyword(s):  
Decision Making ◽  
Cost Reduction ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Prescriptive Analytics

Product Portfolio Design Using Prescriptive Analytics

2018 ◽  
pp. 584-593 ◽  
Author(s):  
Merle-Hendrikje Jank ◽  
Christian Dölle ◽  
Günther Schuh
Keyword(s):  
Product Portfolio ◽  
Prescriptive Analytics ◽  
Portfolio Design
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