Combining Machine Learning and Operations Research Methods to Advance the Project Management Practice

2019 ◽  
pp. 135-155
Author(s):  
Nikos Kanakaris ◽  
Nikos Karacapilidis ◽  
Georgios Kournetas ◽  
Alexis Lazanas
Keyword(s):  
Machine Learning ◽  
Project Management ◽  
Research Methods ◽  
Operations Research ◽  
Management Practice

New Strategy to Optimize Photovoltaic Systems by the Operations Research Methods

2017 ◽  
Vol 5 (4) ◽  
pp. 105
Author(s):  
Taha Saoudi ◽  
Abdelmajid Oualha ◽  
Ichraf Elgammoudi
Keyword(s):  
Research Methods ◽  
Operations Research ◽  
Photovoltaic Systems ◽  
New Strategy

An Analysis of Web-based Document Management and Communication Tools Usage Among Project Managers

2017 ◽  
Vol 8 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Tomislav Rozman ◽  
Tanja Kocjan Stjepanovič ◽  
Andrej Raspor
Keyword(s):  
Project Management ◽  
Management Practice ◽  
Project Managers ◽  
Document Management ◽  
Communication Tools ◽  
Web Based ◽  
Motivation Factors ◽  
Communication Software ◽  
Group Interviews ◽  
Eu Project

The article analyzes modern cloud document management systems and communication tools from the viewpoint of a EU project managers, who lead multidisciplinary, multilingual and international teams. It also explores the types of users who use these tools as well as the motivation factors guiding their choices. The research includes observation within the project group, interviews and semi-structured surveys among 40 EU project managers, who have managed 244 EU projects. The main finding is that a lot of project managers still don't use shared, cloud document system. The biggest obstacle to more efficient usage of existing systems is their un-friendliness, security concerns and lack of skills. Meetings are still perceived as the most efficient channel for distributing and receiving project tasks, but they are closely followed by communication software. Applying the authors' findings to the project management practice can lead to better communication and shared document storage management, which can influence overall effectiveness of project management.

scholarly journals The Role of Donor Agencies in Promoting Standardized Project Management in the Spanish Development Non-Government Organizations

2021 ◽  
Vol 13 (3) ◽  
pp. 1490
Author(s):  
Agustín Moya-Colorado ◽  
Nina León-Bolaños ◽  
José L. Yagüe-Blanco
Keyword(s):  
Project Management ◽  
International Development ◽  
Management Practice ◽  
Development Cooperation ◽  
Management Tools ◽  
Governmental Organization ◽  
Governmental Organizations ◽  
Non Governmental Organizations ◽  
Funding Mechanisms ◽  
Donor Agencies

Project management is an autonomous discipline that is applied to a huge diversity of activity sectors and that has evolved enormously over the last decades. International Development Cooperation has incorporated some of this discipline’s tools into its professional practice, but many gaps remain. This article analyzes donor agencies’ project management approaches in their funding mechanisms for projects implemented by non-governmental organizations. As case study, we look at the Spanish decentralized donor agencies (Spanish autonomous communities). The analysis uses the PM2 project management methodology of the European Commission, as comparison framework, to assess and systematize the documentation, requirements, and project management tools that non-governmental organizations need to use and fulfill as a condition to access these donors’ project funding mechanisms. The analysis shows coincidence across donors in the priority given to project management areas linked to the iron triangle (scope, cost, and time) while other areas are mainly left unattended. The analysis also identifies industry-specific elements of interest (such as the UN Sustainable Development Goals) that need to be incorporated into project management practice in this field. The use of PM2 as benchmark provides a clear vision of the project management areas that donors could address to better support their non-governmental organization-implemented projects.

Mapping operations research in project management: a bibliometric analysis

2021 ◽  
Vol 39 (1) ◽  
pp. 52
Author(s):  
Andrés Muñoz Villamizar ◽  
Elyn L. Solano Charris ◽  
Rodrigo Romero Silva
Keyword(s):  
Project Management ◽  
Bibliometric Analysis ◽  
Operations Research

scholarly journals Low Cost Data Analytics Implementation on Project Management Process Automation

2019 ◽  
Vol 5 (2) ◽  
pp. 76-82
Author(s):  
Cornelius Mellino Sarungu ◽  
Liliana Liliana
Keyword(s):  
Project Management ◽  
Data Analytics ◽  
Management Practice ◽  
Low Cost ◽  
Project Manager ◽  
Management Process ◽  
Generation Process ◽  
Data Generation ◽  
Team Members ◽  
Single Output

Project management practice used many tools to support the process of recording and tracking data generated along the whole project. Project analytics provide deeper insights to be used on decision making. To conduct project analytics, one should explore the tools and techniques required. The mostcommon tool is Microsoft Excel. Its simplicity and flexibility make project manager or project team members can utilize it to do almost any kind of activities. We combine MS Excel with R Studio to brought data analytics into the project management process. While the data input process still using the old way that the project manager already familiar, the analytic engine could extract data from it and create visualization of needed parameters in a single output report file. This kind of approach deliver a low cost solution of project analytics for the organization. We can implement it with relatively low cost technology onone side, some of them are free, while maintaining the simple way of data generation process. This solution can also be proposed to improve project management process maturity level to the next stage, like CMMI level 4 that promote project analytics. Index Terms—project management, project analytics, data analytics.

scholarly journals Four stages of making project management flexible: insight, importance, implementation and improvement

2020 ◽  
Vol 12 (1) ◽  
pp. 2117-2136
Author(s):  
Afshin Jalali Sohi ◽  
Marian Bosch-Rekveldt ◽  
Marcel Hertogh
Keyword(s):  
Project Management ◽  
Construction Industry ◽  
Management Practice ◽  
Research Question ◽  
Practical Method ◽  
Project Performance ◽  
Main Question ◽  
Project Complexity ◽  
Project Phases ◽  
Management Flexibility

Abstract Increased project complexity, project dynamics and changes in clients’ requirements are a few examples that suggest the necessity for flexibility in project management in order to deliver successful projects. Despite the fact that literature suggests adding flexibility to project management, there is no existing framework that provides a practical method for adding flexibility into the practice of project management in the construction industry. Therefore, this research is aimed at proposing a practical framework that helps practitioners in embedding project management flexibility into their project management practice. The research question is as follows: how to embed flexibility in the practice of project management in the early project phases? To answer the research question, four sub-questions have been formulated, which have been separately researched. The main question is answered by proposing a flexibility framework. This framework comprises four stages: understanding the current situation, practitioners’ perspectives on flexible project management, choosing enablers to become flexible and applying selected enablers to improve project performance. The framework is validated using the examples given by practitioners from 24 cases. Considering the movements towards flexibility and adaptability concepts, this research fills the gap in literature by providing a practical framework for project management flexibility. Moreover, it provides a step-by-step guideline for practitioners to embed flexibility in practice.

scholarly journals Evaluation of Biomarkers in Critical Care and Perioperative Medicine

2020 ◽  
Vol 134 (1) ◽  
pp. 15-25
Author(s):  
Sabri Soussi ◽  
Gary S. Collins ◽  
Peter Jüni ◽  
Alexandre Mebazaa ◽  
Etienne Gayat ◽  
...  
Keyword(s):  
Machine Learning ◽  
Critical Care ◽  
Statistical Analysis ◽  
Research Methods ◽  
Statistical Methods ◽  
Perioperative Medicine ◽  
Scientific Rigor ◽  
Starting Point ◽  
Novel Biomarkers

SUMMARY Interest in developing and using novel biomarkers in critical care and perioperative medicine is increasing. Biomarkers studies are often presented with flaws in the statistical analysis that preclude them from providing a scientifically valid and clinically relevant message for clinicians. To improve scientific rigor, the proper application and reporting of traditional and emerging statistical methods (e.g., machine learning) of biomarker studies is required. This Readers’ Toolbox article aims to be a starting point to nonexpert readers and investigators to understand traditional and emerging research methods to assess biomarkers in critical care and perioperative medicine.

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