An-Najah University Journal for Research - A (Natural Sciences)

Quantity-Significant Models and their Use for Predicting Evaluation Curves

Article info

1999-03-15
2000-05-14
2000-05-14
23 - 35

Keywords

Abstract

Analysis of 14 reinforced bridge bills of quantities has shown that an integrated cost and time model containing at most 20 elements at the detailed design stage can predict total project value within accuracy ± 3%. Using the same number of elements the model can predict the project duration within accuracy: ± 5%. Quantity-significant work packages (qswp) were derived using trade- by- trade analysis, and a single cost model factor (cmf), and time model factor (tmf) were determined. Since the same elements used in the cost model are also used in the time model, a new approach to developing operational bills of quantities is highlighted. The new operational bill makes deriving and using the evaluation curve of a project much easier

Recommended Citation

Dmaidi, N., & Zakieh#, R. (2000). Quantity-Significant Models and their Use for Predicting Evaluation Curves. An-Najah University Journal for Research - A (Natural Sciences), 14(1), 23–35. https://doi.org/10.35552/anujr.a.14.1.686
[1]N. Dmaidi and R. Zakieh#, “Quantity-Significant Models and their Use for Predicting Evaluation Curves,” An-Najah University Journal for Research - A (Natural Sciences), vol. 14, no. 1, pp. 23–35, Jan. 2000, doi: 10.35552/anujr.a.14.1.686.
Dmaidi, Nabil, and Rashad Zakieh#. “Quantity-Significant Models and Their Use for Predicting Evaluation Curves.” An-Najah University Journal for Research - A (Natural Sciences), vol. 14, no. 1, Jan. 2000, pp. 23–35. Crossref, https://doi.org/10.35552/anujr.a.14.1.686.
1.Dmaidi N, Zakieh# R. Quantity-Significant Models and their Use for Predicting Evaluation Curves. An-Najah University Journal for Research - A (Natural Sciences) [Internet]. 2000 Jan;14(1):23–35. Available from: http://dx.doi.org/10.35552/anujr.a.14.1.686
Dmaidi, Nabil, and Rashad Zakieh#. “Quantity-Significant Models and Their Use for Predicting Evaluation Curves.” An-Najah University Journal for Research - A (Natural Sciences) 14, no. 1 (January 2000): 23–35. https://doi.org/10.35552/anujr.a.14.1.686.

نماذج الكميات المهمة واستخدامها للتنبؤ عن منحنيات التقييم

معلومات المقال

1999-03-15
2000-05-14
2000-05-14
23 - 35

الكلمات الإفتتاحية

الملخص

من خلال تحليل اربعة عشر جدولا للكميات والأسعار في الجسور المسلحة، تمت ملاحظة أن التكلفة المتكاملة، ونمذجة الوقت، المحتوية لعشرين بندا على الأكثر في مرحلة التثميم الدقيق يمكن أن تستخدم في توقع قيمة المشروع الكلية وبدقة مقدارها ± 3%، وباستخدام نفس العدد من البنود المذكورة سابقاً، يمكن استخدام النموذج لتوقع فترة المشروع وبدقة ± 5%. الحزم التي تحتوي على البنود ذات الكميات الأكبر قد اشتقت لكل نوع عمل ومعامل نموذج الزمن ومعامل الكلفة قد حسب لكل واحدة منها على حدة.

Recommended Citation

Dmaidi, N., & Zakieh#, R. (2000). Quantity-Significant Models and their Use for Predicting Evaluation Curves. An-Najah University Journal for Research - A (Natural Sciences), 14(1), 23–35. https://doi.org/10.35552/anujr.a.14.1.686
[1]N. Dmaidi and R. Zakieh#, “Quantity-Significant Models and their Use for Predicting Evaluation Curves,” An-Najah University Journal for Research - A (Natural Sciences), vol. 14, no. 1, pp. 23–35, Jan. 2000, doi: 10.35552/anujr.a.14.1.686.
Dmaidi, Nabil, and Rashad Zakieh#. “Quantity-Significant Models and Their Use for Predicting Evaluation Curves.” An-Najah University Journal for Research - A (Natural Sciences), vol. 14, no. 1, Jan. 2000, pp. 23–35. Crossref, https://doi.org/10.35552/anujr.a.14.1.686.
1.Dmaidi N, Zakieh# R. Quantity-Significant Models and their Use for Predicting Evaluation Curves. An-Najah University Journal for Research - A (Natural Sciences) [Internet]. 2000 Jan;14(1):23–35. Available from: http://dx.doi.org/10.35552/anujr.a.14.1.686
Dmaidi, Nabil, and Rashad Zakieh#. “Quantity-Significant Models and Their Use for Predicting Evaluation Curves.” An-Najah University Journal for Research - A (Natural Sciences) 14, no. 1 (January 2000): 23–35. https://doi.org/10.35552/anujr.a.14.1.686.

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