A novel information-driven approach for selecting a project portfolio: A benefit-to-cost based method combining decomposition and holistic elicitation paradigms

IF 6.9 2区管理学 Q1 MANAGEMENT

Omega-international Journal of Management Science Pub Date : 2026-02-01 Epub Date: 2025-11-01 DOI:10.1016/j.omega.2025.103456

Maria Elvira Borges Tunú Pessoa , Eduarda Asfora Frej , Adiel Teixeira de Almeida

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引用次数: 0

Abstract

Portfolio selection is a challenging task that involves multiple conflicting objectives that must be considered. In this context, this paper proposes a structured approach to addressing portfolio selection problems, based on the Benefit-to-Cost Ratio (BCR) heuristic for ranking projects, with a focus on the information provided by the decision maker (DM). First, we present an approach that combines two types of preference information derived from elicitation paradigms in decision-making: decomposition-based ones, which consider information provided about the consequences of projects, and holistic-based ones, which consider information about actual candidate projects and subsets of projects. Then, we present a mathematical programming model that combines both types of information and computes dominance relationships between projects, considering their estimated BCR. To operationalize the proposed approach, an interactive Decision Support System (DSS) was developed, offering a user-friendly interface with graphical visualization tools to help the DM when providing preference information. Finally, a portfolio selection problem for technology projects of a Brazilian company in the retail sector is presented to demonstrate the practical applicability of the proposed approach, thereby illustrating the methodology's potential to enhance the practice of portfolio selection in real-world scenarios.

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选择项目组合的一种新的信息驱动方法：一种结合分解和整体启发范例的基于收益-成本的方法

投资组合选择是一项具有挑战性的任务，涉及必须考虑的多个相互冲突的目标。在此背景下，本文提出了一种结构化的方法来解决投资组合选择问题，该方法基于对项目进行排序的收益成本比启发式方法，重点关注决策者（DM）提供的信息。首先，我们提出了一种方法，该方法结合了两种类型的偏好信息，这些信息来自于决策中的启发范式：基于分解的偏好信息，它考虑了关于项目后果的信息，以及基于整体的偏好信息，它考虑了关于实际候选项目和项目子集的信息。然后，我们提出了一个数学规划模型，该模型结合了这两种类型的信息并计算了项目之间的优势关系，考虑了它们的估计BCR。为了实现所提出的方法，开发了一个交互式决策支持系统（DSS），提供一个用户友好的界面和图形可视化工具，以帮助决策制定者提供偏好信息。最后，提出了巴西零售行业公司技术项目的投资组合选择问题，以证明所提出方法的实际适用性，从而说明该方法在现实世界场景中增强投资组合选择实践的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Omega-international Journal of Management Science 管理科学-运筹学与管理科学

CiteScore

13.80

自引率

11.60%

发文量

130

审稿时长

56 days

期刊介绍： Omega reports on developments in management, including the latest research results and applications. Original contributions and review articles describe the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Other features of the journal are the "Memoranda" section for short communications and "Feedback", a correspondence column. Omega is both stimulating reading and an important source for practising managers, specialists in management services, operational research workers and management scientists, management consultants, academics, students and research personnel throughout the world. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with implications to the practice of management. Submissions of purely theoretical papers are discouraged. The review of material for publication in the journal reflects this aim.