Project proposal

· Production Engineering Support

· Maintenance/rework

· Integrated Logistics support

· Testing

· Inventory Management

· Production improvement

· Quality Evaluation

· And disposal

The Virtual PLM Support System (VPSS) is an interactive corporate data network built using web technology. It uses the Internet to establish a global configuration program data system. VPSS provides configuration items users with access to data, information, and key processes required to do their job. Automation of the Business Processes between the Fleet, Management, and Support Commands eliminates paperwork and redundant data systems. By inputting data only once at the source, there is less chance of error, and it becomes instantly available to all. VPSS enables authorized users to access data required for daily decision support immediately. Because data maintained in a central location, it can automatically update all affected systems. For example, if a Service Life changes, the logbook and stockpile lot tracking data are instantly updated. Revisions and interim changes are incorporated at the organization, and Users input unique data points only. Everything my organization does to support you with configuration items is dependent on accurate data. VPSS Trace (Installed Asset Tracking) and Stockpile Tracking data determine future stock requirements. The VPSS system relies on tracking and technical data to determine which configuration item users can order for maintenance and deployment. Data within the VPSS System affects everything from the number of items stocked to when you will order replacements and schedule aircraft for maintenance and item replacement. VPSS eliminates the risk of aircraft potential grounding due to outdated Service Life records by maintaining records electronically. Current data provides the necessary information required to determine service life, process service life extensions, conduct deficiency investigations, and recall defective parts when deficiencies are confirmed. Inaccurate data directly affects the readiness and reliability of emergency and escape systems in operational products. Each of you has a unique role in keeping assigned data current and accurate.

Human fails to [verified technical data before given concurrence] resulting in [delay to complete the project time and budget]. The criticality of this problem has been verified by [process failure mode and effect analysis (OSHA)] through [Human Error Investigation Software Tool (HEIST) and research journal articles and accident data collected].

As a result of these issue my organization where able to conduct this project due to the facts that the was not enough funding to tackle this issue, although similar research has been embarked on by the United States of Transportation under the federal railway Administration. The organization also conducted investigation due to for the space of ten years with similar about 75% on accident and rework are as a result human factor errors. Based on internal research and data collected as a result of series of mishap incident. Efforts have been carried out in the area of the system and software upgrades to reduce or minimized the risk.

The problem focus is a [human-machine and Human-group] interaction between [The user and PLM process tool interface], driven by [low cognitive (Memory storage and retrieval)], resulting in [accident, delay to complete the project time and budget]. The existence and criticality of the problem focus has been verified by [journal articles and Organization review] through [Lack of safety guidance and similarity matching].

The Human reliability analysis will help address the challenges in human errors based on cognitive theory. It identifies for the design and support of the technical data package process through a web-based approach of human-system interface of this complex system we operate, which will reduce the number of reworks and delay time. And by developing a set of knowledge-based which will aid the support of information sharing within our organization domains. It will help save my organization money and time in many ways to look at other business initiatives that will profit the organization. I choose long-term memory with similarity matching that was stores data for durable periods, occasionally for an organization. I am also considering two supplemental theory namely: The behavioral approach of divided attention. Note that this might change during the more findings. The social theory will be reorienting attention to salient stimuli through computational mechanisms to fill in typical input information values. These reconstructive memories are based on knowledge accessibility. I have two sources associated with the low-level foundation theory, which talks about how memory in terms of encoding, storage, and retrieval of information and how this phenomenon has altered memory, which might cause human error effects on productivity. The second source explains why companies' taxonomy on engineering change management couple with actions to prevent, handle and manage engineering changes within the organization product life cycle within development and verification through processes. The third source discussed the investigation conducted for human error within the context of critical safety of software applications' design, focusing on task and structure of job issues for the processing, which is an integrated perspective for human working with a flow system.

Reference