A Buffer Sizing Approach in Critical Chain Scheduling with Attributes Dependent

Yang, Lixi; Fu, Yan; Li, Shiqi; Huang, Biyue; Peng, Tao

doi:10.1109/wicom.2008.1805

Cited by 15 publications

(10 citation statements)

References 4 publications

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“…Identify and quantify key factors to determine the appropriate location of project buffers are the objectives of the CC/BM method. Yang, Fu, Li, Huang and Tao (2008), computed the buffer size of the project taking into account the network size, the uncertainty on activities duration, and the flexibility of the starting times of each activity. Second, Mansoorzadeh and Yusof (2011), identified and analyzed the critical risk factors of the projects, and evaluated their impact on the activities duration.…”

Section: Critical Chain Methodsmentioning

confidence: 99%

The project scheduling problem with non-deterministic activities duration: A literature review

Pimiento

Serna

2018

JIEM

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Abstract:Purpose: The goal of this article is to provide an extensive literature review of the models and solution procedures proposed by many researchers interested on the Project Scheduling Problem with nondeterministic activities duration.Design/methodology/approach: This paper presents an exhaustive literature review, identifying the existing models where the activities duration were taken as uncertain or random parameters. In order to get published articles since 1996, was employed the Scopus database. The articles were selected on the basis of reviews of abstracts, methodologies, and conclusions. The results were classified according to following characteristics: year of publication, mathematical representation of the activities duration, solution techniques applied, and type of problem solved.Findings: Genetic Algorithms (GA) was pointed out as the main solution technique employed by researchers, and the Resource-Constrained Project Scheduling Problem (RCPSP) as the most studied type of problem. On the other hand, the application of new solution techniques, and the possibility of incorporating traditional methods into new PSP variants was presented as research trends.Originality/value: This literature review contents not only a descriptive analysis of the published articles but also a statistical information section in order to examine the state of the research activity carried out in relation to the Project Scheduling Problem with non-deterministic activities duration.

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Section: Critical Chain Methodsmentioning

confidence: 99%

The project scheduling problem with non-deterministic activities duration: A literature review

Pimiento

Serna

2018

JIEM

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“…Considering that the project is scheduled with no learning for all linear activities, the most likely learning rates being far-off from the zero-learning rate can offer a greater amount of leeway for that activity. It has been found through previous studies that activities with less flexibility are less likely to be completed on time (Yang, Fu, Li, Huang, & Peng, 2008), and therefore less percentage reduction is required for these activities. Consequently, when the activity i has a low flexibility, it imposes a higher risk on the time completion of succeeding activities and accordingly requests a smaller percentage reduction of the space-time float.…”

Section: Flexibility Ratio (Fr)mentioning

confidence: 99%

A Mathematical Model for Quantifying Workers’ Learning Range on Repetitive Construction Projects

Rahal¹,

Khoury²

2019

Proceedings of the Creative Construction Conference 2019

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The role of planning and management in the construction industry has always been significant towards improving project schedules. However, the impact of planning strategies on different construction schedules poses a margin for development and enhancement, especially when it comes to managing linear schedules or schedules of projects undergoing repetitive types of work. Previous research efforts developed models to individually analyze the influence of congestion and the learning curve factors on linear schedules, but failed to capture the combined complexities and dynamics when integrating both. Therefore, this paper puts forward the groundwork of a scheduling optimization framework and presents work targeted at quantifying the learning development range of construction workers on repetitive projects. The ultimate goal is to minimize potential congestions by taking into account the inherent uncertainties of linear activities while considering the learning curve effect. More specifically, three dimensions of uncertainty are considered for each activity, namely at the level of the activity itself, at the level of the activity and its predecessors, and at the activity-network level. At the heart of the proposed mathematical model is a fuzzy-based system that generates a minimum percentage reduction in productivity boundaries for each activity with different uncertainty dimensions. The presented fuzzy system will, in future work, become the foundation of a time-cost optimization framework for linear scheduling methods.

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“…AF mengindikasikan fleksibilitas dari aktivitas tertentu. Penelitian sebelumnya menunjukkan bahwa semakin kecil AF maka semakin kecil kemungkinan aktivitas untuk tepat waktu (Yang et al 2009) sehingga diperlukan buffer yang lebih besar. 5.…”

Section: Ketidakpastianunclassified

Analisis Besaran Koefisien Ketidakpastian Environmental Uncertainty (Eu) Yang Berpengaruh Pada Perhitungan Buffer Pada Critical Chain Project Management (Ccpm) Di Jakarta

Lianto

Anondho

2018

j. mitra teknik sipil

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ABSTRAKProyek konstruksi rentan terhadap berbagai macam kendala, seperti kompleksitas proyek, kelangkaan sumber daya, dan ketidakpastian durasi proyek. Terdapat sebuah metode untuk penjadwalan konstruksi yang bernama Critical Chain Project Management (CCPM). Terdapat dua tantangan dalam implementasi CCPM pada penjadwalan konstruksi, salah satunya adalah pengukuran buffer. Buffer memiliki peran penting untuk memastikan keberhasilan manajemen jadwal. Metode Uncertainty-Aware Method (UAM) digunakan untuk menghasilkan buffer yang proporsional dengan memperhitungkan beragam ketidakpastian. Salah satu jenis ketidakpastian pada UAM adalah Environmental Uncertainty (EU). Penelitian ini bertujuan mengetahui koefisien Environmental Uncertainty dengan penyebaran kuesioner pada proyek di Jakarta. Metode Relative Importance Index (RII) digunakan untuk menganalisis data. Berdasarkan koefisien yang diperoleh dari hasil perhitungan, proyek di Jakarta mempunyai ketidakpastian Environmental Uncertainty yang besar.Kata kunci: critical chain project management, manajemen konstruksi, ketidakpastian, perhitungan buffer, environmental uncertainty. PENDAHULUAN Latar BelakangProyek konstruksi sangat rentan terhadap berbagai macam kendala, seperti kompleksitas proyek, kelangkaan sumber daya, dan ketidakpastian durasi proyek. Kegagalan untuk mengatur salah satu dari kendala ini akan mengakibatkan gangguan pada proyek yang berujung pada bertambahnya durasi proyek (Ma et al., 2014). Ma et al. (2014) mengembangkan Critical Chain Project Management (CCPM) yang didasari oleh usulan dari Goldratt (1997) yaitu Theory of Constraints (TOC). Metode penjadwalan proyek mulai menujukkan perkembangan dengan adanya TOC. TOC digunakan untuk mengatur produksi yang repetitif yang didasari dengan paham bahwa setiap sistem memiliki batasan, dan performa sistem hanya dapat dikembangkan dengan meningkatkan performa resource yang terbatas tersebut. Untuk menghindari keterlambatan proyek, CCPM mengembangkan sistem penjadwalan menggunakan buffer (Cohen et al., 2004). Karena banyaknya ketidakpastian yang sering terjadi pada proyek konstruksi, buffer memegang peranan penting dalam CCPM (Raz et al., 2003) sehingga ketahanan proyek terhadap ketidakpastian meningkat dan durasi proyek terjaga.Terdapat dua metode yang digunakan untuk mengukur besarnya buffer: the cut and paste method (C&PM) dan the root square error method (RSEM). C&PM mengadopsi sebuah prosedur yang linear. Semakin panjang critical chain, semakin besar buffer yang dihasilkan sehingga seringkali menghasilkan jadwal yang panjang dan mengakibatkan terbuangnya resources (Herroelen dan Leus, 2001). RSEM tidak menghasilkan jadwal yang panjang seperti C&PM (Tukel et al., 2006), tetapi dapat menghasilkan jadwal yang rentan terhadap beragam ketidakpastian. Selain kedua metode diatas, Ma et al. (2014) mengembangkan metode perhitungan buffer yang disebut Uncertainty-Aware Method (UAM) untuk menentukan ukuran buffer yang masuk akal dengan memperhitungkan beragam faktor yang mempengaruhi penjadwalan proyek dan belum...

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A Buffer Sizing Approach in Critical Chain Scheduling with Attributes Dependent

Cited by 15 publications

References 4 publications

The project scheduling problem with non-deterministic activities duration: A literature review

The project scheduling problem with non-deterministic activities duration: A literature review

A Mathematical Model for Quantifying Workers’ Learning Range on Repetitive Construction Projects

Analisis Besaran Koefisien Ketidakpastian Environmental Uncertainty (Eu) Yang Berpengaruh Pada Perhitungan Buffer Pada Critical Chain Project Management (Ccpm) Di Jakarta

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