- Variable time project planning

2016 ◽  
pp. 384-401
Keyword(s):  
Project Planning ◽  
Variable Time

Planning a project of the creation of an electric vehicle technical assistance point

2020 ◽  
pp. 117-123
Author(s):  
Totska Olesia ◽  
Glovatsky Anastasia
Keyword(s):  
Electric Vehicle ◽  
Technical Assistance ◽  
Critical Path ◽  
Project Planning ◽  
The Creation

The purpose of the article is to plan a project of an electric vehicle technicalassistance point. the methodology of the study is to use the critical path method.the scientific novelty of the obtained results is that the article describes the practicalaspects of project planning of the creation of an electric vehicle technical assistancepoint. In particular, the tasks of the project are described, labor, material and financialresources necessary for its realization are specified. conclusions. The implementationof the developed project will effectively manage the content, time and resources ofthe project of the creation of an electric vehicle technical assistance point.

A SOFT SYSTEMS METHODOLOGY APPROACH TO IMPROVING THE SUPPLY CHAIN OF A CONSTRUCTION PROJECT IN GAUTENG PROVINCE, SOUTH AFRICA

2020 ◽  
Vol 10 (1) ◽  
pp. 86-99
Author(s):  
Lewis Tsuro ◽  
Stan Hardman
Keyword(s):  
South Africa ◽  
Supply Chain ◽  
Construction Project ◽  
Soft Systems Methodology ◽  
Project Planning ◽  
Suitable Model ◽  
Senior Managers ◽  
Good Tool ◽  
Systems Methodology ◽  
Soft Systems

The Soft Systems Methodology (SSM) was developed as a set of tools for identifying and making incremental steps to improve situations with poorly defined causes or solutions. The supply chain forms a key process of any construction project; however, on any given construction site, supply chain inefficiencies could arise from many different avenues. Opinions vary, though, on which of these avenues is more important for increasing supply chain efficiencies; whether any problem even exist across the different aspects of the supply chain; as well as what steps should be taken to resolve them. It was therefore studied, here, whether SSM could be employed as a useful tool to systematically apply in the supply chains of a construction project in South Africa, for understanding and targeting the problematic situations that arise. Following thorough cyclical open-ended interviews with 17 workers, supervisors, foremen, site clerks, senior managers, and the CEO of the principal contractor at a new office park construction project in Rosebank, Johannesburg, and a thematic analysis of the data, SSM was performed to understand the existing challenges, and develop a suitable model for improvement. The study found that SSM was a good tool for understanding the ‘messy’ circumstances surrounding the chosen construction project supply chain, as well as actions that could be taken to improve the supply chain’s efficiency on site. The findings add weight to the argument that SSM could be a good tool for project managers to systematically introduce into their project planning regimens

AVADAR Application: a learning model for designing a mobile-based disease surveillance system using participatory community reporting in Africa (Preprint)

2019 ◽  
Author(s):  
Godwin Akpan ◽  
Johnson Muluh Ticha ◽  
Lara M.F. Paige ◽  
Daniel Rasheed Oyaole ◽  
Patrick Briand ◽  
...  
Keyword(s):  
Community Participation ◽  
Surveillance System ◽  
Disease Surveillance ◽  
Health Workers ◽  
Digital Health ◽  
Black Box ◽  
Project Planning ◽  
Acceptance Testing ◽  
Surveillance Strategy ◽  
Design And Implementation

BACKGROUND Acute Flaccid Paralysis (AFP) surveillance is the bedrock of polio case detection. The Auto Visual AFP Detection and Reporting (AVADAR) is a digital health intervention designed as a supplemental community surveillance system. OBJECTIVE This paper describes the design and implementation process that made AVADAR a successful disease surveillance strategy at the community level. METHODS This paper outlines the methods for the design and implementation of the AVADAR application. It explains the co-design of the application, the implementation of a helpdesk support structure, the process involved in trouble shooting the application, the benefits of utilizing a closed user group for telecommunication requirements, and the use of a consented video. We also describe how these features combined led to user acceptance testing using black box methodology. RESULTS A total of 198 community informants across two provinces, four districts and 32 settlements were interviewed about application performance, usability, security, load, stress and functionality testing black box components. The responses showed most community participants giving positive reviews. Data from the Blackbox testing yielded optimum acceptance ratings from over 90% of the users involved in the testing. A total of 22380 AFP Alerts were sent out by community informants and 21589 (95%) were investigated by health workers or WHO AVADAR coordinators. Overall there was 93% assimilation at regional level. About 83% of investigations were done in the vicinity of the alerts in 2018 compared to 77% in 2017. CONCLUSIONS AVADAR implementation model offers a simplistic step by step model that includes community participation as an integral tool for the successful deployment of a mobile based surveillance reporting tool. AVADAR can be a veritable source of project planning data and a mobile application for other interventions that target using community participation to influence health outcomes.

Ranking and Sensitivity Analysis of Key Factors for Successful Project Management Performance: An Application of AHP for Oil and Gas Sector

2018 ◽  
Vol 6 (2) ◽  
Author(s):  
Farhaj Ishtiaq ◽  
Mirza Jahanzaib
Keyword(s):  
Sensitivity Analysis ◽  
Project Management ◽  
Analytical Hierarchy Process ◽  
Oil And Gas ◽  
Planning Process ◽  
Project Planning ◽  
Key Factors ◽  
Management Performance ◽  
Hierarchy Process ◽  
Oil And Gas Sector

<p>Complexities faced by oil and gas projects due to uncertainty and risk, demand the implementation of project management techniques for their successful completion. Therefore, this is made by using analytical hierarchy process, to identify and prioritize the key factors for successful project management performance of oil and gas projects. These factors are categorized into three groups which include attributes of project staff, project planning process and assessment of project quality. Using expert choice, a hierarchy is developed followed by pairwise comparison based upon data collection from industrial experts of oil and gas sector. Results of analytical hierarchy process (AHP) concluded that, project completion within estimated time and budget, clarity of objectives and involvement of top management are most crucial elements for improvement in project management performance of oil and gas projects. Whereas sensitivity analysis being carried out according to three different scenarios highlighted factors according to their relative importance.</p>

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