Streamlined project time-cost tradeoff optimization methodology: Algorithm, automation, and application

Nasiri, Sasan; Lu, Ming

doi:10.1016/j.autcon.2021.104002

Cited by 12 publications

(6 citation statements)

References 15 publications

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“…price difference by the acceleration time[31]. The project will benefit from speeding up time[32][33].…”

mentioning

confidence: 99%

RETRACTED: Construction Schedule Management for Densely Populated Areas Using CPM-Crashing

Amar,

Astuti,

Wulandari

2023

U Karst

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This article has been retracted: please see U Karst Policy on Article Withdrawal. (https://ojs.unik-kediri.ac.id/index.php/ukarst/article-retraction) This article has been retracted at the request of the Editor-in-Chief. This decision was taken because it was discovered that almost the same article had been published earlier on October 31, 2023, in the Jurnal Teknik Sipil: Rancang Bangun (https://ejournal.um-sorong.ac.id/index.php/rancangbangun/article/view/2632). The author was identified as having made multiple submissions, namely submitting a manuscript in the U Karst Journal on July 3, 2023, and also submitting almost the same manuscript in the Jurnal Teknik Sipil: Rancang Bangun on August 24, 2023. The Editors deplore the practice of simultaneous multiple submissions of papers to different journals. As such this article represents a severe abuse of the scientific publishing system. The scientific community takes a very strong view on this matter, and we apologize to the journal readers that this was not detected during the submission process.

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“…price difference by the acceleration time[31]. The project will benefit from speeding up time[32][33].…”

mentioning

confidence: 99%

RETRACTED: Construction Schedule Management for Densely Populated Areas Using CPM-Crashing

Amar,

Astuti,

Wulandari

2023

U Karst

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“…In this study, population size will be calibrated after the crossover operator according to Eqs. (19) and (20).…”

Section: Genetic Algorithm For Discrete Time-cost Trade-off Problemmentioning

confidence: 99%

“…Techniques proposed for solution of TCTP mainly include exact methods, heuristics, and meta-heuristics. Traditionally TCTP has been modelled by mathematical programming such as linear programming [15], dynamic programming [16], hybrid linear/integer programming [17], branch-and-bound algorithm [18], integer programming [19], mixed integer programming [20], mixed integer nonlinear programming [21] and network reduction approaches [22]. The literature on heuristics for DTCTP is limited to the methods proposed by Fondahl [23], Siemens [4], Goyal [5], Moselhi [24], Bettemir and Birgonul [25] and Sonmez et al [26].…”

Section: Introductionmentioning

confidence: 99%

Optimization-based Scheduling of Construction Projects with Generalized Precedence Relationships: A Real-Life Case Study

Aminbakhsh,

Ahmed

2023

Scientia Iranica

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Concomitant reduction of cost and duration is recognized as one of the main aspects of construction planning. Expedition of project schedule naturally incurs extra costs due to implementation of more productive and/or high-price construction techniques. Meanwhile, a reduction in time is usually plausible only down to a certain limit, below which renders expeditions either technically or financially unviable. Thus, striking a reasonable balance between project cost and duration remains a desirable yet challenging task for which there has been a myriad of advancements and literature. Despite the many studies associated with this problemreferred to as time-cost trade-off problem (TCTP)it is observed that only a few exercise TCT problems with the generalized logical relationships. This observation holds despite the fact that generalized precedence relationships are imperative to introduce parallelism and to secure a realistic overlap among the activities. In this regard, a Simulated Annealing-based Genetic Algorithm (GA) as proposed herein, is specifically designed to provide the capability of exerting TCTPs with properly overlapped activities. Efficiency of this algorithm is tested over a range of problems and its performance is validated over a large-scale real-case construction project. Results of the hybridized GA indicate fast and robust convergence to high-quality solutions.

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“…By implementing the project time-cost tradeoff optimization method proposed by Nasiri and Lu (2022), the same 170 days project duration is obtained, but the total project cost reduces to $713,586, which represents considerable cost-saving of $58,813 (7.6%) against the solution from P6. The updated project schedule solution are closely examined and verified, revealing that 76 out of the 100 activities do not need to be crashed to the most expensive method option (or the shortest activity time practically feasible) with 5%-40% further crashing availability being reserved.…”

Section: Safety-centric Acceleration Planningmentioning

confidence: 99%

“…Safety-centric schedule acceleration planning inevitably drives up activity cost, presenting a dilemma in managing construction projects in the real world: how to control the increase of cost while at the same time not compromising on safety? The solution lies in the global level total project time and cost analysis by taking advantage of the simplified method for the project time–cost tradeoff optimization analysis proposed by Nasiri and Lu (2022). Herein, given a project network model, the total project cost is to aggregate activity-specific costs on all the individual activities of a project resulting from the application of the proposed safety-centric analysis–which is essentially the direct cost commonly defined in TCT optimization.…”

Section: Proposed Application Frameworkmentioning

confidence: 99%

Application framework for safety-centric construction acceleration planning

Mahdavian

Pereira

2022

ECAM

Self Cite

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PurposePrevious research regarding shaping factors and major causes behind accidents in the construction field is reviewed. In particular, a hypothetical model is established to correlate activity time, cost and safety in the context of construction activity acceleration planning. Two demonstration cases are presented to illustrate the proposed theoretical model in the context of critical activity expedition planning. Further, a third case uses a 100-activity project to perform the global level total project time and cost analysis, identifying specific activity acceleration plans that would materialize the shortened total project time at the lowest total project cost.Design/methodology/approachThis research proposes a safety-centric application framework to guide construction acceleration planning at both activity and project levels while taking sufficient preventive measures against safety hazards and accidents. As planning construction acceleration by factoring in safety constraints inevitably drives up cost, it is imperative to control increases in activity costs at the local level in connection with schedule acceleration planning while at the same time not compromising on safety. This research also addresses this critical question through performing global level total project time and cost analysis.FindingsAn application framework is proposed for guiding a planner through identifying accident shaping factors, obeying schedule acceleration rules and accounting for safety-related costs in attempts to mitigate hazardous situations on-site at both activity level (local) and project level (global), resulting in (1) minimizing the increase of total project cost in schedule acceleration while at the same time not compromising on safety at individual activities; (2) producing specific execution plans on each individual activity in terms of the amount of time to crash and the associated activity cost.Originality/valueThis study is original in developing theories and methods for evaluating the impact of safety constraints upon construction time and cost in activity acceleration planning and project time-cost analysis. The research fills a gap in knowledge in terms of how to factor in sufficient safety constraints while achieving project time and cost objectives on construction acceleration planning at both activity and project levels.

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Streamlined project time-cost tradeoff optimization methodology: Algorithm, automation, and application

Cited by 12 publications

References 15 publications

RETRACTED: Construction Schedule Management for Densely Populated Areas Using CPM-Crashing

RETRACTED: Construction Schedule Management for Densely Populated Areas Using CPM-Crashing

Optimization-based Scheduling of Construction Projects with Generalized Precedence Relationships: A Real-Life Case Study

Application framework for safety-centric construction acceleration planning

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