Improved Strategy for Resource Allocation in Repetitive Projects Considering the Learning Effect

Zhang, Lihui; Zou, Xin; Kan, Zhinan

doi:10.1061/(asce)co.1943-7862.0000896

Cited by 37 publications

(28 citation statements)

References 26 publications

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“…Much research has been done in United States related to resource scheduling such as optimization of time-cost-trade off (Ashuri & Tavakolan, 2012) and resource requirement fluctuation model (El-Rayes & Jun, 2009). Developing countries including China and India also conducted research related to time-cost-trade off problems (Zou et al, 2015), ant colony schedule-cost optimization and resource allocation improvement strategy (Zou et al, 2014). However, countries from Africa have less contribution in CPS research except Egypt which published articles on schedule optimization using swarm particle (Elbeltagi et al, 2016).…”

Section: Active Countries/regions In Cps Researchmentioning

confidence: 99%

Scientometric Review of Construction Project Schedule Studies: Trends, Gaps and Potential Research Areas

Derbe

et al. 2020

Journal of Civil Engineering and Management

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Scheduling plays a fundamental role in construction projects’ success and thus has drawn attention from both academic researchers and industry practitioners. A large number of research articles tend to solve emerging challenges in construction project schedule (CPS). Therefore, there is a strong need of systematic review on existing studies. In this study, a total of 332 articles were retrieved from Scopus database using title, abstract and keywords with respect to CPS and filtered by document type, language type and abstract content. In particular, science mapping approach was adopted to analyse selected journal articles. These articles were examined using three sequential processes, including bibliometric search, scientometric analysis, and in-depth qualitative discussion. It could demonstrate the most influential journals, researchers, published articles, and active countries/regions in this area. In addition, major CPS knowledge areas were identified and summarized as CPS constructability, applications of variety of CPS methods, CPS optimization models and algorithms, identification and quantification of schedule risks and uncertainties, CPS performance management, and adopting new emerging CPS technologies and methods. Furthermore, knowledge gaps and future potential research directions were also discussed in detail. Finally, a comprehensive CPS framework was proposed as a sound reference in future research.

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Section: Active Countries/regions In Cps Researchmentioning

confidence: 99%

Scientometric Review of Construction Project Schedule Studies: Trends, Gaps and Potential Research Areas

Derbe

et al. 2020

Journal of Civil Engineering and Management

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“…If we solve the problem by replacing constraint (6) with constraint (18), then the completion time of the project increases to 49 weeks. Considering learning effect among similar tasks in view of learning decreases project duration almost 4 weeks without changing the task sequence and task-project member pairs.…”

Section: Numerical Examplementioning

confidence: 99%

Project Scheduling and Staff Allocation Problem With Time-Dependent Learning Effect: A Mixed Integer Non-Linear Programming Approach

Arık¹

2019

Eskişehir Technical University Journal of Science and Technology a - Applied Sciences and Engineering

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This paper proposes a mixed integer non-linear programming (MINLP) for project scheduling and staff allocation problem with time-dependent learning effect considering task similarities for learning. Resources of a project, especially staffs, can learn from previous tasks if those tasks and the current task are similar. Considering similarities among tasks for each staff can produce a more realistic schedule for a project. The objective function of the proposed problem is to minimize project completion time. The learning effect in this paper is dependent on the time when the project staff starts to do that task. If a project staff does repetitive and/or similar tasks then that staff can get experience and do tasks faster than planned durations. Therefore, task sequence is essential to assign tasks to project staffs in order to minimize project completion time by considering task similarities in view of learning.

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“…Pekerjaan ini sering ditemui pada bangunan tipikal dan perumahan. Proses berulang pada pekerjaan ini dapat menyebabkan peningkatan produktivitas pekerja sehingga waktu dan biaya yang dibutuhkan untuk menyelesaikan satu unit pekerjaan menjadi berkurang seiring dengan bertambahnya jumlah unit yang telah dikerjakan (Zhang et al, 2014). Fenomena ini tentunya dapat dimanfaatkan untuk meningkatkan efisiensi dari pekerjaan tersebut.…”

Section: Latar Belakangunclassified

“…Kurva belajar log-linear (gambar 2) mengkorelaksikan hubungan antara rata-rata durasi per jumlah unit dengan jumlah unit yang dihasilkan (Zhang et al, 2014). Model ini dijabarkan oleh rumus 1.…”

Section: Kurva Belajar Log-linearunclassified

Pemanfaatan Kurva Belajar Log-Linear Untuk Penghematan Biaya Pekerja

Vincent

Gondokusumo

2018

j. mitra teknik sipil

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Pada proyek konstruksi banyak pekerjaan berulang yang dikerjakan dalam unit tertentu. Pekerjaan dinding merupakan salah satu contoh dari pekerjaan berulang ini. Pekerjaan ini sering ditemui pada bangunan tipikal dan perumahan. Proses berulang pada pekerjaan ini dapat menyebabkan peningkatan produktivitas pekerja sehingga waktu dan biaya yang dibutuhkan untuk menyelesaikan satu unit pekerjaan menjadi berkurang seiring dengan bertambahnya jumlah unit yang telah dikerjakan. Fenomena ini tentunya dapat dimanfaatkan untuk meningkatkan efisiensi dari pekerjaan tersebut. Namun masih banyak proyek yang tidak memperhitungan pengurangan durasi tersebut. Hal ini menjadi suatu hal yang sangat disayangkan mengingat bahwa jumlah pekerja dapat dikurangi ketika durasi pengerjaan berkurang. Oleh karena itu, penelitian ini menggunakan kurva belajar log-linear sebagai cara untuk memprediksi dan menghitung pengurangan durasi tersebut. Penelitian ini dilakukan dengan mengambil sampel data di dua proyek daerah Jabodetabek. Hasil dari penelitian ini menunjukkan bahwa kurva belajar log-linear baik digunakan untuk memprediksi durasi pekerjaan dinding dan juga metode pada penelitian ini yang digunakan untuk menghitung penghematan biaya pekerja semakin baik digunakan pada proyek dengan jumlah repetisi pekerjaan yang lebih banyak.

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Improved Strategy for Resource Allocation in Repetitive Projects Considering the Learning Effect

Cited by 37 publications

References 26 publications

Scientometric Review of Construction Project Schedule Studies: Trends, Gaps and Potential Research Areas

Scientometric Review of Construction Project Schedule Studies: Trends, Gaps and Potential Research Areas

Project Scheduling and Staff Allocation Problem With Time-Dependent Learning Effect: A Mixed Integer Non-Linear Programming Approach

Pemanfaatan Kurva Belajar Log-Linear Untuk Penghematan Biaya Pekerja

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