Weight Assignment for Resource Sharing in the Context of a Project and Operation Portfolio

Abstract

There is a gap in portfolio frameworks in regard to resource sharing between chosen projects. This article describes a model that aims to fill this gap, enabling resource sharing between processes related to a project and operation portfolio through weight allocation. The use of the Analytic Hierarchy Process (AHP) method signaled that project management is the most important process in resource sharing. According to a field survey, this process received the highest score in the attribution of weights. The prioritization obtained with the geometric mean of the consistent responses was the same as that obtained in all sensitivity analyses, which validated the chosen weight assignment. This study provides knowledge for engineering managers and technical engineers to allocate and share resources, in a neutral, objective and transparent environment. It also reinforces the importance of applying the AHP method in decisions, such as prioritizing tasks that will be performed by a single resource, or assigning weights in resource allocation.

Keywords:

• Project Portfolio
• Operation Management
• Resource Sharing
• Multicriteria
• AHP
• Weight Assignment
• Process

EMJ Focus Areas:

• Operations Management
• Program & Project Management
• Strategic Management
• Supply Chain Management

Acknowledgements

The authors gratefully acknowledge the significant contributions made by the respondents and the anonymous reviewers to improving this article.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

José Francisco Tebaldi de Castro

José Francisco Tebaldi de Castro is a graduate in civil engineering from the Rio de Janeiro Federal University (UFRJ). He has an MSc in management systems and a PhD in sustainable systems, both from Fluminense Federal University (UFF). His professional experience includes process design, resource sharing, project portfolio frameworks, strategic planning, procurement strategies, risk management, and processes in the O&G segment.

Helder Gomes Costa

Helder Gomes Costa has been a full professor at UFF in Brazil since 2014. He received his PhD degree in mechanical engineering from PUC-Rio. His research interests include decision analysis, multi-criteria decision aid, and management sciences.

Mirian Picinini Méxas

Mirian Picinini Méxas has a PhD in civil engineering from UFF, and an MSc in computer science and systems engineering from UFRJ. She is a mathematics graduate, and has a PMP in project management. Her experience includes information systems development and maintenance, teams and projects management, and being a business analyst and project manager. She works as a professor in the Actuarial Sciences and Finance Department, on the Doctoral Program in Sustainable Management Systems and on the Master’s Program on Management Systems at UFF.

Cláudio Benevenuto de Campos Lima

Cláudio Benevenuto de Campos Lima is the well data and information manager at an oil operations company in Brazil. He was head of the deployment of integrated operations in the Pre-Salt area. Prior to this, he was the automation manager, and has many years’ experience as the lifting and flow assurance manager for oil production platforms. Lima is a chemical engineer and holds an MBA, MSc, and PhD in management systems from UFF, Brazil.

Wagner Rodrigues Ribeiro

Wagner Rodrigues Ribeiro has a master’s degree in management systems from UFF; MBA in organizations and strategy; and an MBA in business management in information technology. He is a graduate in technology in digital techniques from Estácio de Sá University, and certified in PMP, Scrum Master, Kanban Management Professional, SAFe Agilist, Management 3.0, and Cynefin. Nowadays, he acts as an agile coach at Engie Brasil. He is specialized in project management and agility.