A soft computing approach based on critical chain for project planning and control in real-world applications with interval data

Aramesh, S.; Mousavi, Seyed Meysam; Mohagheghi, Vahid; Zavadskas, Edmundas K.; Antuchevičienė, Jurgita

doi:10.1016/j.asoc.2020.106915

Cited by 25 publications

(3 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The TOPSIS method is a sorting method proposed by C.L.Hwang and K. Yoon in 1981 to approximate the ideal solution to solve the problem of analyzing multi-objectives. The core idea is to sort the relative superiority and inferiority of the existing evaluation objects according to the proximity of the evaluation index to the idealized goal, that is, when the target solution is more biased towards the positive and antiideal solution, the better the target solution [9].…”

Section: Basic Theorymentioning

confidence: 99%

Evaluation of the technical status of ship equipment based on the improved TOPSIS method

Xu¹,

Liu²

2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The reliability of ship equipment is the basis for the safe navigation of ships and the completion of various tasks, and mastering the reliability level of ship equipment and assessing its technical status is the decision-making basis for ship maintenance and support; most of the current related research is based on combing statistics, and the accuracy is affected by the size of the sample data, and there are inevitable errors; in order to obtain more accurate assessment results, THIS paper introduces TOPSIS The method also improves the determination method of index weight and ideal solution, quantifies the assessment results, and achieves objective and accurate effects; through case verification, the model built in this paper has high accuracy, and on the basis of fully mining the potential information of the data, the accuracy and accuracy of the assessment are effectively improved, and can be applied to the technical status assessment of ship indicators.

show abstract

Section: Basic Theorymentioning

confidence: 99%

Evaluation of the technical status of ship equipment based on the improved TOPSIS method

Xu¹,

Liu²

2022

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…Subsequently, taking activity as a unit to allocate the buffer, Zhang and Wan (2018) present a real-time rolling monitoring method and continuously redistribute the remaining buffer monitoring amount. Aramesh et al (2020) allocate the project buffer to the activities' buffers based on a new normalized important factor and extend the relative buffer monitoring method to the activity level. Chen et al (2020) propose that combining earned value management and project buffers is another common method in the literature.…”

Section: Literature Reviewmentioning

confidence: 99%

Adaptive capacity constraint buffer monitoring of the multi-project system based on the relevance of drum activities

Zhang

Han

2022

View full text Add to dashboard Cite

PurposeThe activities using drum resources restrict the operation of multi-project systems. However, existing monitoring methods are not suitable for the characteristics of drum activities in the multi-project system. The authors therefore propose an adaptive capacity constraint buffer monitoring model based on the attributes of drum activities, aiming to build a high-efficiency progress control framework for multiple projects.Design/methodology/approachConsidering the attributes and the interrelationship of drum activities, the monitoring reference points are determined on the basis of decentralized buffers. The authors next set action thresholds according to the relationship between the drum activities' interval margin and buffer consumption, and then the corresponding monitoring measures are taken.FindingsThe empirical results show that, compared to the classic methods, the proposed approach can effectively monitor the progress of the drum plan and realize the dual optimization of multi-project duration and cost.Research limitations/implicationsThe buffer consumption at the follow-up monitoring time point is neglected when determining the action thresholds. Prediction methods can be introduced to present more all-sided monitoring.Practical implicationsThis paper fulfils the dual optimization of multi-project duration and cost. It provides a reference guide for project managers.Originality/valueA capacity constraint buffer monitoring method suitable for a multi-project environment is produced.

show abstract

“…In the past several decades, the well-known resource-constrained project scheduling problem (RCPSP) has been widely studied and obtained much considerable achievements (Demeulemeester & Herroelen, 2002). For this classical problem, the activities' durations and resource requirements are supposed to be fixed, but in numerous cases the work contents are specified (Aramesh et al 2021). In this case, the specific work content could be transformed into several combinations of durations (e.g.…”

Section: Introductionmentioning

confidence: 99%

Generating a robust baseline schedule for the robust discrete time/resource trade-off problem under work content uncertainty

Tian

Zhao

Demeulemeester

2022

Computers & Operations Research

View full text Add to dashboard Cite

A soft computing approach based on critical chain for project planning and control in real-world applications with interval data

Cited by 25 publications

References 67 publications

Evaluation of the technical status of ship equipment based on the improved TOPSIS method

Evaluation of the technical status of ship equipment based on the improved TOPSIS method

Adaptive capacity constraint buffer monitoring of the multi-project system based on the relevance of drum activities

Generating a robust baseline schedule for the robust discrete time/resource trade-off problem under work content uncertainty

Contact Info

Product

Resources

About