Academic literature on the topic 'FLOW PROCESS CHART (FPC)'

Purpose Main issue in management and strategy is corporate performance. Managers seek effective and strategic way to improve their performance. Authorization, which includes reputational and strategic indicators, is one of these ways. The applying authorization and using this authorization are decision-making process for managers. These processes have potential to make considerable effect on corporate performance. As a considerable result of this research that need of resource dependency type certified aircraft technicians in Anadolu University are decreased owing to this research and, also the purpose of this study is that technicians have got opportunity to creating own human resource in view of both sustainability, and competition in training field. Design/methodology/approach In this study, both specified and organizational-tailored flowchart as the problem solving techniques in decision-making process of maintenance training organization have been developed, compiled after taking the opinions of experts, for the effective implementation of type rating training, following approval, that cover the types of fleet at Anadolu University. This flowchart may guide to the relevant aircraft maintenance training organizations in their type trainings implementation process. Findings Human factor is both vital and necessary element to achieve high corporate performance. By following the flow chart, the implementation process is shortened by eliminating the difficulties in complying with the depth and complexity of the required regulation. Originality/value The development of the necessary skills and competencies of the workforce is one of the critical points for the creation, preservation and improvement of corporate value. This research has been carried out with the aim of effective utilization of institutional resources, development of personnel and hence corporate value creation. Anadolu University, which is aware of the importance of core competence, is trying to make it one of its strengths institutionally. The Anadolu University Faculty of Aeronautics and Astronautics, as an organization that has completed the necessary steps to become authorized to give type rating training, may guide other aviation organizations using the organization-specified tailored flow chart developed with the help of expert opinion.

The Mental Capacity Act 2005 provides a new legal framework within which health and social care professionals (as well as informal carers) must act when providing care and treatment for the estimated 2 million people in England, Wales and Northern Ireland who lack the capacity to make certain decisions for themselves. Although the Mental Capacity Act 2005 Code of Practice provides comprehensive advice on good practice in assessing capacity, it does not identify a specific process to be used. Good clinical practice depends on the exercise of clinical judgement within a valid and contestable process. This article outlines a flow chart (Fig. 1) that can be used to guide the process of capacity assessments in more complex cases, in line with the Mental Capacity Act 2005 and the Code of Practice.

Lean blowout (LBO) limit is one of the most important combustor parameters. A new method named Feature-Parameter-Criterion (FPC) for predicting LBO limit has been put forward in the present work. A computational fluid dynamics (CFD) software FLUENT has been used to simulate the process of LBO of gas turbine combustor and bluff body burner. And “M” flame has been proposed as the portent for predicting lean blowout of gas turbine combustor. Effects of flow velocity, air temperature, droplet averaged-diameter, and flow distribution between swirlers and primary holes on the LBO limit of gas turbine combustor have been researched by use of Feature-Parameter-Criterion in this paper. The effects of fuel air mixture velocity and different structures on bluff body LBO limit have also been analyzed in the present work by use of FPC. The results show that the simulation of LBO limit based on FPC is in good agreement with the experiment data (the errors are about 5%) and this method is reliable for engineering applications.

The current status of broiler production in one of the subsidiary companies in Heilongjiang Chia Tai Group was investigated. Based on the summarization and analysis on its production flow and production layout, some layout symbols were put forward. These symbols can bring more convenience if used together with production flow chart in the planning and design of production logistics.

Source code similarity detection has extensive applications in computer programming teaching and software intellectual property protection. In the teaching of computer programming courses, students may utilize some complex source code obfuscation techniques, e.g., opaque predicates, loop unrolling, and function inlining and outlining, to reduce the similarity between code fragments and avoid the plagiarism detection. Existing source code similarity detection approaches only consider static features of source code, making it difficult to cope with more complex code obfuscation techniques. In this paper, we propose a novel source code similarity detection approach by considering the dynamic features at runtime of source code using process mining. More specifically, given two pieces of source code, their running logs are obtained by source code instrumentation and execution. Next, process mining is used to obtain the flow charts of the two pieces of source code by analyzing their collected running logs. Finally, similarity of the two pieces of source code is measured by computing the similarity of these two flow charts. Experimental results show that the proposed approach can deal with more complex obfuscation techniques including opaque predicates and loop unrolling as well as function inlining and outlining, which cannot be handled by existing work properly. Therefore, we argue that our approach can defeat commonly used code obfuscation techniques more effectively for source code similarity detection than the existing state-of-the-art approaches.