Dynamic assessment of project portfolio risks from the life cycle perspective

Zhang, Bingbing; Bai, Libiao; Zhang, Kaimin; Kang, Shuyun; Zhou, Xinyu

doi:10.1016/j.cie.2022.108922

Cited by 10 publications

(3 citation statements)

References 79 publications

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“…To better achieve the requirements of the strategy, the project's alignment with the strategic objectives of the enterprise needs to be measured, but this problem has a certain ambiguity [26]. Fuzzy matter-element theory was developed based on rough set theory and matter-element analysis theory.…”

Section: Strategic Matching Degree Of Project Portfolio Based On Comp...mentioning

confidence: 99%

“…Since the indexes in the system are difficult to measure, the corresponding evaluation comment set was set to measure each index. Assuming that the weights of all indicators in all dimensions are equal, the expert evaluation method is adopted to determine the fuzzy value [26], and the value is set in the interval [0, 5]. After averaging all expert evaluation values, the matrix E can be obtained.…”

Section: Evaluation Of Project Portfolio Strategy Matchingmentioning

confidence: 99%

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Research on Timing Sequence Update Strategy Decision of Project Portfolio Based on Coupling Benefits in Strategic Period

Wu,

Feng,

et al. 2023

Water

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The Chinese government’s substantial investment in water restoration has created numerous lucrative opportunities for commercial environmental restoration enterprises. Accordingly, this research study seeks to address the primary challenge faced by enterprise managers: selecting projects that fulfill both strategic imperatives and maximize economic returns. To tackle this issue, we segmented the overarching strategic period into multiple phases and studied the project portfolio from a holistic strategic period perspective. We introduced a decision model for the dynamic, sequential updating of the portfolio throughout the strategic period, emphasizing the combined benefits at each phase. This model guides the strategic selection of projects at any decision-making stage to optimize the benefits across the entire strategic duration. The multi-agent Nash Q-learning algorithm was employed for portfolio construction and updating strategies. This approach yields an optimal project portfolio for each phase of the strategy. Unlike traditional methods that predominantly focus on cumulative returns and find it challenging to accommodate strategic shifts, our proposed technique prioritizes intertwined strategic returns. It promotes project choices in tune with strategic contexts and supports ongoing adjustments to project strategies, providing invaluable guidance for decision makers. A comparison of our proposed method with other optimization strategies validated its superior performance. Furthermore, the case study described in this study confirms that our method promotes project choices in tune with strategic contexts and supports ongoing adjustments to project strategies, providing invaluable guidance for decision makers.

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Section: Strategic Matching Degree Of Project Portfolio Based On Comp...mentioning

confidence: 99%

Section: Evaluation Of Project Portfolio Strategy Matchingmentioning

confidence: 99%

Research on Timing Sequence Update Strategy Decision of Project Portfolio Based on Coupling Benefits in Strategic Period

Wu,

Feng,

et al. 2023

Water

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“…A safety evacuation has a trend of delicacy management. The construction industry suffers the largest number of deaths [24][25][26][27][28]. There are hundreds of constructors losing their lives annually due to injuries and fatalities on the working face.…”

Section: Introductionmentioning

confidence: 99%

An Investigation of Frame-Core Tube Building Construction Sites on Safety Evacuation

Yang

Yao

2023

Buildings

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FTBCS safety evacuation of frame-core tube buildings on construction sites (FTBCS) is one of the most challenging evacuation scenarios conceivable. This investigation proposes a practical calculation method and examines the parameters’ influence on safety evacuation in frame-core tube building construction sites. Firstly, the characteristics of constructors from 30 FTBCS in China are analyzed. After an investigation of 23,230 constructors, it was found that constructors have unique properties in gender ratio, age composition, and occupational age. Female constructors account for about 10%, and aged constructors account for 0.28%. Constructors within five years of occupational age account for about 26.39%. Evacuation speeds on different working faces including frames and core tubes are tested, and the decline coefficients of 0.80 and 0.70 are taken consideration into the evacuation model. Then, an exclusive evacuation time algorithm that is appropriate for FTBCS is proposed. Multiple parameters’ influence on safety evacuation is researched by numerical simulation. With a 5.0% growth of female gender ratio, aged constructors, and constructors within five years of occupational age, the average movement distance is increased by 10.32 m, 0.67 m, and 11.19 m, respectively. The age composition ratio and occupational age ratio mainly affect the evacuation process by evacuation speed and path programming, respectively, and the leading influencing factors are not distinct in their gender ratio effects. Optimization of construction layout can reduce the evacuation time from the horizontal direction plane effectively, and then relieve clustering and crowding on platforms.

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Project portfolio selection considering the hindrance to risk propagation: a dual-objective optimization approach

Lv,

Li,

Shen

et al. 2024

Soft Comput

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Dynamic assessment of project portfolio risks from the life cycle perspective

Cited by 10 publications

References 79 publications

Research on Timing Sequence Update Strategy Decision of Project Portfolio Based on Coupling Benefits in Strategic Period

Research on Timing Sequence Update Strategy Decision of Project Portfolio Based on Coupling Benefits in Strategic Period

An Investigation of Frame-Core Tube Building Construction Sites on Safety Evacuation

Project portfolio selection considering the hindrance to risk propagation: a dual-objective optimization approach

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