A FUZZY BI-LEVEL PROJECT PORTFOLIO PLANNING CONSIDERING THE DECENTRALIZED STRUCTURE OF PHARMACY HOLDINGS

Research and development (R&D) in the pharmaceutical industry requires proper and optimal planning and management because of its critical role in public health. Taking into account a decentralized decision-making structure in R&D management in pharmaceutical holding companies, this study introduces a new fuzzy bi-level multi-follower mathematical optimization model to address budget allocation and project portfolio planning. Specifically, the holding company's head office, as the leader, and the subsidiaries, as followers, make strategic and operational decisions concerning important issues such as budget allocation and portfolio selection and scheduling. Since the lower level represents multiple mixed-integer programming problems with uncooperative reference relationships between followers, solving the resulting bi-level model is challenging. Therefore, our model is based on an effective hybrid solution methodology, which converts the bi-level model, including multiple followers, into a single-level model. In order to validate the proposed model, we conducted a case study and analyzed the strategies of each actor within the conglomerate. Based on the results of experiments, it is evident that a strategy that focuses on one level of operations profoundly affects decisions at the other level

Does expert judgement is important in mining industry?: A systematic literature review study

The Delphi technique is used to achieve consensus from a panel of experts on particular issues by several series or rounds. Previous scholars widely used Delphi in social science studies, business, healthcare, education and many more. However, there is a lack of systematic review on the contribution of Delphi in the engineering and technology field of research. Thus, the aims of this systematic literature review (SLR) are to investigate the contribution of Delphi in solving problems for the past 11 years in the mining industry and to understand the future outlook of Delphi in the Malaysian mining industry. By applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), 37 selected papers were identified with three main themes and 24 subthemes created using thematic analysis. Based on the findings, the most highlighted contribution of Delphi came from Theme 3: Delphi’s derivatives (50.0%), followed by Theme 1: Mine lifecycle (12.5%), and Theme 2: Analysis of Delphi (37.5 %). In conclusion, an SLR could hopefully increase awareness among mining players to use Delphi in solving their problems which cannot be solved by machinery or tools in achieving a consensus among experts

Does expert judgement is important in mining industry?: A systematic literature review

The Delphi technique is used to achieve consensus from a panel of experts on particular issues by several series or rounds. Previous scholars widely used Delphi in social science studies, business, healthcare, education and many more. However, there is a lack of systematic review on the contribution of Delphi in the engineering and technology field of research. Thus, the aims of this systematic literature review (SLR) are to investigate the contribution of Delphi in solving problems for the past 11 years in the mining industry and to understand the future outlook of Delphi in the Malaysian mining industry. By applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), 37 selected papers were identified with three main themes and 24 subthemes created using thematic analysis. Based on the findings, the most highlighted contribution of Delphi came from Theme 3: Delphi’s derivatives (50.0%), followed by Theme 1: Mine lifecycle (12.5%), and Theme 2: Analysis of Delphi (37.5 %). In conclusion, an SLR could hopefully increase awareness among mining players to use Delphi in solving their problems which cannot be solved by machinery or tools in achieving a consensus among experts

Methodology for project portfolios selection using multicriteria of the capm, semi variation, and the gini risk coefficient

Consta no arquivo em PD

Exploring project complexity through project failure factors: analysis of cluster patterns using self-organizing maps

In the field of project management, complexity is closely related to project outcomes and hence project success and failure factors. Subjectivity is inherent to these concepts, which are also influenced by sectorial, cultural, and geographical differences. While theoretical frameworks to identify organizational complexity factors do exist, a thorough and multidimensional account of organizational complexity must take into account the behavior and interrelatedness of these factors. Our study is focused on analyzing the combinations of failure factors by means of self-organizing maps (SOM) and clustering techniques, thus getting different patterns about the project managers perception on influencing project failure causes and hence project complexity. The analysis is based on a survey conducted among project manager practitioners from all over the world to gather information on the degree of influence of different factors on the projects failure causes. The study is cross-sectorial. Behavioral patterns were found, concluding that in the sampled population there are five clearly differentiated groups (clusters) and at least three clear patterns of answers. The prevalent order of influence is project factors, organization related factors, project manager and team members factors, and external factors