Software Project Management Systems Using Kanban Method in the CV. Primavisi Globalindo

Reducing the risk of failure in working on software projects is one of the successes for the company. It can be done by implementing project planning management properly. One important aspect of project management planning is scheduling. Scheduling includes recording human resources and tasks in the project. The Kanban method is one of the methods used to overcome problems in controlling project schedules. This study aims to develop a project scheduling system that applies the Kanban method. In this research, project management and scheduling system will be developed using the Kanban method. This system expected to be able to assist companies in handling projects. Kanban was chosen because it can easily respond to project changes, easily implemented, and company needs. In this study, unit testing was performed on the system's three main features and tested the validity of the system's 49 functional requirements. The usability test produces a value of 76. Based on the validation and usability test results, it can be concluded that the system is included in the acceptable category.

Experience Finding MS Project Alternatives at CERN

As of March 2019, CERN is no longer eligible for academic licences of Microsoft products. For this reason, CERN IT started a series of task forces to respond to the evolving requirements of the user community with the goal of reducing as much as possible the need for Microsoft licensed software. This exercise was an opportunity to understand better the user requirements for different types of applications. Here we focus on MS Project, the dominant PCbased project management software, which has been used at CERN for many years. There were over 1,500 installations at CERN when the task force started, with a heterogeneous pool of users in terms of required functionality, area of work and expertise. This paper will present an evaluation of users’ needs and whether they could be fulfilled with cheaper and less advanced solutions for project management and scheduling. Moreover, selected alternatives, their deployment and lessons learned will be described in more detail. Finally, it will present the approach on how to communicate, train and migrate users to the proposed solutions.

ON MODELING ACTIVITY CRASHING AND OVERLAPPING: A FIRST ALGORITHM

Accelerating construction projects is a commonly used method for meeting the project deadlines and/or compensating for current delays. There are several approaches to speed-up a project, such as activity crashing and overlapping. Activity crashing means reducing activity durations through adding more resources. Activity overlapping means executing certain activities in parallel when they were supposed to be sequential in the original plan. Construction management literature is mostly focused on studying each acceleration mode separately, while the focal point of this paper is to develop a joint model and a first algorithmic implementation that involves both acceleration methods. Particularly, on reviewing the project management and scheduling literature, a mathematical model combining activity crashing and overlapping is reformulated. Also, a Genetic Algorithm is implemented on a fictitious case study. Preliminary findings of the model and algorithmic implementations identify that activity crashing alone and a mixed approach are preferred when significant compression is required, whereas activity overlapping is recommended for minimizing compression costs when only a small compression is required.

Project Management and Scheduling through National Project Management Phases in Government Construction Agencies

Effective project coordination and management of time and cost scheduling in public funded construction projects receive a considerable focus from academics, politicians, and the construction industry itself with opposing points of view. The study objective is therefore to investigate the process of time and cost scheduling during the different project stages, and their relationships between critical factors affecting project schedules. Applied data collection was based on semi-structured interviews and a questionnaire survey with publicly agency employed project managers and property managers. A multiple research approach was thus utilized to mix the two dataset. Findings demonstrate that project complications in the execution stage is associated to lack of project requirements and design with too optimistic project deadline and budget from the initial project stages. Moreover, a relationship was found between the presence of experienced consultants and the achievement of project success throughout the project phases as particular vital.