جلد 37، شماره 2 - ( 3-1405 )                   جلد 37 شماره 2 صفحات 33-14 | برگشت به فهرست نسخه ها


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Guangul F M, Chala G T, Chandra S. A hybrid AHP–SMART–ILP Framework for pProject Portfolio Selection: Evidence From a Developing Economy. IJIEPR 2026; 37 (2) :14-33
URL: http://ijiepr.iust.ac.ir/article-1-2018-fa.html
A hybrid AHP–SMART–ILP Framework for pProject Portfolio Selection: Evidence From a Developing Economy. نشریه بین المللی مهندسی صنایع و تحقیقات تولید. 1405; 37 (2) :14-33

URL: http://ijiepr.iust.ac.ir/article-1-2018-fa.html


چکیده:   (1395 مشاهده)
Strategic investment decisions across multiple projects require a systematic assessment of extensive quantitative and qualitative data, especially under conditions of resource constraints and uncertainty. Traditional single-project appraisal methods often fail to identify optimal portfolios aligned with organizational goals. This study presents a hybrid project portfolio selection framework integrating the Analytic Hierarchy Process (AHP), Simple Multi-Attribute Rating Technique (SMART), and 0–1 Integer Linear Programming (ILP) to enhance decision-making clarity and robustness. The framework employs a hierarchical structure, utilizing a comprehensive set of technical, commercial, socio-economic, financial, investment, and institutional criteria. AHP establishes consistent relative weights from expert judgments, while SMART scores candidate projects, generating aggregated scores that inform an ILP optimization model aimed at maximizing portfolio utility while adhering to budget constraints, mandatory project conditions, and interdependencies. Validation is performed using real data from an Endowment Corporate Office in Ethiopia, accounting for ongoing and prospective projects under varying demand scenarios. Scenario and sensitivity analyses reveal how variations in demand and criterion weights affect project rankings and portfolio composition, alongside an assessment of portfolio risk via variance and standard deviation. The hybrid AHP–SMART–ILP approach effectively considers both tangible and intangible objectives, achieving stable portfolios that address investment complexities and interdependencies.
     
نوع مطالعه: پژوهشي |
دریافت: 1403/1/25 | پذیرش: 1404/10/17 | انتشار: 1405/3/30

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