A detection method of stagnation symptoms by using project progress models generated from project reports
The purpose of this research is to extract “stagnation symptoms” from progress reports related to a research project. A stagnation symptom is defined in a portion where remarkable stagnation is seen during the progress of a project. Specifically, according to project managers, stagnation symptoms can be classified into the following three kinds: first one is a project bottleneck grasped from one document; the second is clarified by comparing it with the most recent document; and the third is clarified from changes to a working object in a series of documents. We propose a method of extracting stagnation symptoms using the structural analysis of a project’s progress. A progress model that is a structural chart to expressing the progress of a project is generated from documents with label tags, which indicate prior contexts or attributes. This progress model has the following features: a multilevel layer model using detailed degrees and situation analysis using color, and relation analysis of these details and basis using color propagation. Stagnation symptoms are automatically extracted by applying stagnation symptom extraction rules to the progress model. This proposed method was been applied to a set of real progress reports. It could extract stagnation symptoms that were extracted manually.
Managing project quality
This work discusses with the superior quality and project management that optimize the performance excellence of organizations, so every quality practitioner needs to be able to manage project quality effectively. Unfortunately, the combined leverage of quality and project management is often underutilized due to inadequate experience in both fields, time pressures or budgetary cutbacks. In the project quality initiation stage there are many activities involved, in the first stage, such as development of ethical work culture values, an agreement to make fact based decisions, adoption or development of a quality policy, determination of team operating principles and identification of assumptions and risks are considered. Then it will focus on: identification, alignment, selection, chartered commitment to the selected project.
A Critical Assessment on Functional Attributes and Degradation Mechanism of Membrane Electrode Assembly Components in Direct Methanol Fuel Cells
Direct methanol fuel cells (DMFC) are typically a subset of polymer electrolyte membrane fuel cells (PEMFC) that possess benefits such as fuel flexibility, reduction in plant balance, and benign operation. Due to their benefits, DMFCs could play a substantial role in the future, specifically in replacing Li-ion batteries for portable and military applications. However, the critical concern with DMFCs is the degradation and inadequate reliability that affect the overall value chain and can potentially impede the commercialization of DMFCs. As a consequence, a reliability assessment can provide more insight into a DMFC component’s attributes. The membrane electrode assembly (MEA) is the integral component of the DMFC stack. A comprehensive understanding of its functional attributes and degradation mechanism plays a significant role in its commercialization. The methanol crossover through the membrane, carbon monoxide poisoning, high anode polarization by methanol oxidation, and operating parameters such as temperature, humidity, and others are significant contributions to MEA degradation. In addition, inadequate reliability of the MEA impacts the failure mechanism of DMFC, resulting in poor efficiency. Consequently, this paper provides a comprehensive assessment of several factors leading to the MEA degradation mechanism in order to develop a holistic understanding.