Product details:
| ISBN13: | 9789811600395 |
| ISBN10: | 9811600392 |
| Binding: | Paperback |
| No. of pages: | 495 pages |
| Size: | 235x155 mm |
| Weight: | 777 g |
| Language: | English |
| Illustrations: | 52 Illustrations, black & white; 101 Illustrations, color |
| 439 |
Category:
Advances in Interdisciplinary Research in Engineering and Business Management
Series:
Asset Analytics;
Edition number: 1st ed. 2021
Publisher: Springer
Date of Publication: 23 April 2022
Number of Volumes: 1 pieces, Book
Normal price:
Publisher's listprice:
EUR 106.99
EUR 106.99
Your price:
37 206 (35 434 HUF + 5% VAT )
discount is: 20% (approx 9 302 HUF off)
Discount is valid until: 31 December 2024
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Short description:
The volume contains latest research on software reliability assessment, testing, quality management, inventory management, mathematical modeling, analysis using soft computing techniques and management analytics. It links researcher and practitioner perspectives from different branches of engineering and management, and from around the world for a bird's eye view on the topics. The interdisciplinarity of engineering and management research is widely recognized and considered to be the most appropriate and significant in the fast changing dynamics of today's times. With insights from the volume, companies looking to drive decision making are provided actionable insight on each level and for every role using key indicators, to generate mobile-enabled scorecards, time-series based analysis using charts, and dashboards. At the same time, the book provides scholars with a platform to derive maximum utility in the area by subscribing to the idea of managing business through performance and business analytics.
The volume contains latest research on software reliability assessment, testing, quality management, inventory management, mathematical modeling, analysis using soft computing techniques and management analytics. It links researcher and practitioner perspectives from different branches of engineering and management, and from around the world for a bird's eye view on the topics. The interdisciplinarity of engineering and management research is widely recognized and considered to be the most appropriate and significant in the fast changing dynamics of today's times. With insights from the volume, companies looking to drive decision making are provided actionable insight on each level and for every role using key indicators, to generate mobile-enabled scorecards, time-series based analysis using charts, and dashboards. At the same time, the book provides scholars with a platform to derive maximum utility in the area by subscribing to the idea of managing business through performance and business analytics.
Long description:
The volume contains latest research on software reliability assessment, testing, quality management, inventory management, mathematical modeling, analysis using soft computing techniques and management analytics. It links researcher and practitioner perspectives from different branches of engineering and management, and from around the world for a bird's eye view on the topics. The interdisciplinarity of engineering and management research is widely recognized and considered to be the most appropriate and significant in the fast changing dynamics of today's times. With insights from the volume, companies looking to drive decision making are provided actionable insight on each level and for every role using key indicators, to generate mobile-enabled scorecards, time-series based analysis using charts, and dashboards. At the same time, the book provides scholars with a platform to derive maximum utility in the area by subscribing to the idea of managing business through performanceand business analytics.
Table of Contents:
A Study of Barriers Faced by Consumers in Using UPI Based Apps.- Reliability Analysis of a System Using Universal Generating Function.- The Missing Link of Job Analysis: A Case Study.- Data Mining Techniques and its Application in Civil Engineering-A Review.- Quality Management: Yesterday, Today and Tomorrow.- Analysis of Systolic Blood Pressure Via Machine learning.- Conservation of Forests using Satellite Imaging.
