Enhancing Schedule Compression Process Using Evolutionary Optimization Techniques

Hazini, Kamran; Dehghan, Reza; Ruwanpura, Janaka Y.

doi:10.3850/978-981-07-5354-2_cpm-6-60

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…Furthermore, there have been limited attempts to combine activity crashing algorithms with other compression techniques (i.e. activity overlapping or fast-tracking, and activity substitution) [50][51][52]. Examples of algorithms combining two or three of these techniques include: Liberatore and Pollack-Johnson's [19] In summary, most algorithmic implementations of crashing, whether combined or not with activity overlapping and/or substitution, have been incorporating ill-based models for evaluating sets of activity compressions and costs.…”

Section: Literature Reviewmentioning

confidence: 99%

Non-linear time-cost trade-off models of activity crashing: Application to construction scheduling and project compression with fast-tracking

Ballesteros‐Pérez

Elamrousy

González-Cruz

2019

Automation in Construction

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Section: Literature Reviewmentioning

confidence: 99%

Non-linear time-cost trade-off models of activity crashing: Application to construction scheduling and project compression with fast-tracking

Ballesteros‐Pérez

Elamrousy

González-Cruz

2019

Automation in Construction

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“…TCTP and TCQTP). As mentioned before, an activity overlapping (fast-tracking) is combined with activity crashing to reduce the total project duration (Hazini et al , 2013; Gerk and Qassim, 2008). Studies in TCTP are separated into linear programming models (Kelley and Walker, 1959) and non-linear programming models (Fulkerson, 1961).…”

Section: Literature Reviewmentioning

confidence: 99%

A new interval-valued fuzzy multi-objective approach for project time–cost–quality trade-off problem with activity crashing and overlapping under uncertainty

Mahdavi-Roshan

Mousavi²

2022

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PurposeMost projects are facing delays, and accelerating the pace of project progress is a necessity. Project managers are responsible for completing the project on time with minimum cost and with maximum quality. This study provides a trade-off between time, cost, and quality objectives to optimize project scheduling.Design/methodology/approachThe current paper presents a new resource-constrained multi-mode time–cost–quality trade-off project scheduling model with lags under finish-to-start relations. To be more realistic, crashing and overlapping techniques are utilized. To handle uncertainty, which is a source of project complexity, interval-valued fuzzy sets are adopted on several parameters. In addition, a new hybrid solution approach is developed to cope with interval-valued fuzzy mathematical model that is based on different alpha-levels and compensatory methods. To find the compatible solution among conflicting objectives, an arithmetical average method is provided as a compensatory approach.FindingsThe interval-valued fuzzy sets approach proposed in this paper is denoted to be scalable, efficient, generalizable and practical in project environments. The results demonstrated that the crashing and overlapping techniques improve time–cost–quality trade-off project scheduling model. Also, interval-valued fuzzy sets can properly manage expressions of the uncertainty of projects which are realistic and practical. The proposed mathematical model is validated by solving a medium-sized dataset an adopted case study. In addition, with a sensitivity analysis approach, the solutions are compared and the model performance is confirmed.Originality/valueThis paper introduces a new continuous-based, resource-constrained, and multi-mode model with crashing and overlapping techniques simultaneously. In addition, a new hybrid compensatory solution approach is extended based on different alpha-levels to handle interval-valued fuzzy multi-objective mathematical model of project scheduling with influential uncertain parameters.

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The Impact of Schedule Compression Techniques on Construction Project Timelines: A Case Study in Basrah, Iraq

Al-Tameemi

2024

TOCIEJ

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Introduction Project managers always compete to finish their projects on time. However, certain circumstances force them to use schedule compression techniques - such as activity crashing, overlapping, and method substitution, to address unplanned delays. Methods These techniques offer practical means to accelerate project timelines; however, their degree of effectiveness can vary widely across different projects and contexts. Nevertheless, such circumstances make compressing construction project schedules an important consideration for avoiding financial losses and protecting stakeholders' interests. Results The paper aims to evaluate the effect of schedule compression techniques on a construction project located in one of Basrah’s oil fields in Iraq. A case study approach is followed for discussing time-cost trade-offs, challenges, and outcomes with such techniques, including their financial implications, strategies for mitigating risks, and the management of resources. Conclusion The results provide insights that are useful in the optimisation of project schedules while ensuring that constraints for cost, safety, and operation are met.

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Enhancing Schedule Compression Process Using Evolutionary Optimization Techniques

Cited by 3 publications

References 4 publications

Non-linear time-cost trade-off models of activity crashing: Application to construction scheduling and project compression with fast-tracking

Non-linear time-cost trade-off models of activity crashing: Application to construction scheduling and project compression with fast-tracking

A new interval-valued fuzzy multi-objective approach for project time–cost–quality trade-off problem with activity crashing and overlapping under uncertainty

The Impact of Schedule Compression Techniques on Construction Project Timelines: A Case Study in Basrah, Iraq

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