Based on the shared journey of two researchers, this book explores enhancing algorithms for the resource-constrained project scheduling problem. It examines the search for and significance of project data from multiple, distinct perspectives. In the first part, the quest for project data is presented as a continuous exploration of the complexity of the resource-constrained project scheduling problem. This quest is pursued by solving this challenging problem with the aid of state-of-the-art algorithms from the literature, each time gaining a deeper understanding of its challenging nature.

To provide insights into the problem's complexity, project data is created, manipulated, and analyzed in depth to make current projects easier or harder to schedule.

This challenging quest for project data has resulted in new project databases for academic research, new ways of testing future algorithms, and insights into how to improve future algorithms to solve this project scheduling problem with limited resources. In turn, the second part discusses the relevance of project data, demonstrating to the reader the importance of the academic research presented in the first part for the professional world. It shows how project data can be used to calibrate real project data, leading to improved decision-making, e.g. for project scheduling, forecasting, and risk analysis.

The book extends a warm invitation to academics and practitioners alike, as fellow seekers of knowledge, to enhance their project management skills.

Reviews and compares different studies on the resource-constrained project scheduling problem in an understandable way Provides a comprehensive summary of existing and new artificial and empirical project databases available Offers guidelines for designing algorithms and testing them on new project data

Autorentext

Dr. Mario Vanhoucke is a Professor at Ghent University (Belgium), Vlerick Business School (Belgium), and UCL School of Management at University College London (UK). He teaches courses on Project Management, Applied Operations Research and Decision-making for Business. His research interests lie in the integration of project scheduling, risk management, and project control, which has led to more than 100 papers in international journals, five project management books published by Springer, one book published by Apress, and a PM Knowledge Center for online learning. His research has received multiple awards, e.g. from the Project Management Institute (PMI Belgium), the College of Performance Management (CPM) and the International Project Management Association (IPMA).

Inhalt

Do We Have Enough Project Data? (Part 1).- Do the Projects Exist in Reality?.- Do We Have Good Schedules for the Projects?.- Can We Solve Every Project Instance?.- Why Is the RCPSP So Difficult? (Part 1).- Can We Make the Projects Easier? (Part 1).- Why Is the RCPSP So Difficult? (Part 2).- Can We Make the Projects Easier? (Part 2).- How to Make the Project Data Practically Relevant?.- Do We Have Enough Project Data? (Part 2).