Software System and Product Integration Algorithm «Government Project»
Issue:
Volume 6, Issue 1, March 2021
Pages:
1-8
Received:
28 December 2020
Accepted:
8 January 2021
Published:
22 January 2021
Abstract: Reasonability of the development of new automated system for semantic data integration basing on analysis of advanced IT resource integration tools and methods is described in this article. Software system and product integration algorithm, called as “Government Project”, is proposed. This algorithm may be applied for automatic data processing. Its implementation is possible basing on computing system destined to take managerial decisions in the project and project portfolio. Technical result of algorithm application means functional expansion and acceleration of information processing. It is possible to implement this algorithm basing on the automated system which consists of server with software, at least one workstation for input of network-interconnected data. Proposed algorithm allows to create the method to process data for decision-making in the project and project portfolio, to accelerate the parameter calculation process, and to ensure guaranteed availability of all parameters required for managerial decision-making, therefore, to provide technical capacity to improve the quality of made decisions with simultaneous decrease of time required for decision-making. The most successful application of claimed automated data processing method for managerial decision-making is industrial application for decision-making and summarizing the projects using computer equipment.
Abstract: Reasonability of the development of new automated system for semantic data integration basing on analysis of advanced IT resource integration tools and methods is described in this article. Software system and product integration algorithm, called as “Government Project”, is proposed. This algorithm may be applied for automatic data processing. Its...
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Optimizing Test and Inspection Operations in Complex Engineering Products
Susan Ferkau,
Quinn Risch,
Prashanth Bhat,
Kevin Lynch
Issue:
Volume 6, Issue 1, March 2021
Pages:
9-15
Received:
16 March 2021
Accepted:
30 March 2021
Published:
12 April 2021
Abstract: Delivery speed and product cost are critical to both our customers and our shareholders. Test cost has historically represented a third or more of overall product cost. Testing requires considerable time investments as well, especially given the nature of products in the aerospace domain, and their safety demands. In this paper we describe work in use today at a large aerospace manufacturer to optimize test and inspection operations in complex engineering products. We extend Deming’s work from the theoretical to application by applying a decision tree and data analytics to test information, resulting in significant savings in dollars and time for test and inspection operations. A bill-of-materials plus operations visualization is employed to initially identify test and inspection operation candidates for removal, and then Deming’s work is extended in this paper to determine the business case for removal, resulting in a final approval by experts driven by the underlying data. The decision tree is described, as well as algorithms to estimate failure rate and rework costs that are integral to applying Deming’s analysis. A small set of business case results for removing an inspection and a test operation using the applied analysis are shared.
Abstract: Delivery speed and product cost are critical to both our customers and our shareholders. Test cost has historically represented a third or more of overall product cost. Testing requires considerable time investments as well, especially given the nature of products in the aerospace domain, and their safety demands. In this paper we describe work in ...
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