การจัดการโครงการก่อสร้างโดยวิธีการหาเส้นทางวิกฤตแบบฟัซซี่
Article Sidebar
เผยแพร่แล้ว:
ม.ค. 4, 2021
คำสำคัญ:
การจัดการโครงการ การก่อสร้าง วิธีการหาเส้นทางวิกฤตแบบฟัซซี่
Main Article Content
บทคัดย่อ
งานวิจัยนี้มีวัตถุประสงค์เพื่อทำการหาเส้นทางวิกฤติสำหรับโครงการก่อสร้างบ้าน เวลาของกิจกรรมซึ่งมีความไม่แน่นอนกำหนดให้เป็นเลขฟัซซี่แบบสี่เหลี่ยมคางหมู วิธีการคำนวณเส้นทางวิกฤติแบบฟัซซี่มี 3 ขั้นตอนคือ การหาเส้นทางเดินหน้าเพื่อหาเวลาเริ่มกิจกรรมเร็วสุด การหาเส้นทางย้อนกลับเพื่อหาเวลาเริ่มกิจกรรมช้าสุดและการหาเส้นทางเวลารวมที่ล่าช้าได้ ผลการศึกษาพบว่ากิจกรรมบนเส้นทางวิกฤติที่ไม่สามารถล่าช้าได้คือ การเตรียมพื้นที่ การวางผังการก่อสร้าง การขุดเจาะเสาเข็ม งานฐานรากโครงสร้าง การเทพื้นคอนกรีตชั้นล่าง การประกอบโครงสร้างหลังคาบ้าน การวางโครงสร้างชั้น 2 การวางโครงสร้างบันได การเทพื้นคอนกรีตชั้น 2 การฉาบผนัง การตกแต่งปูพื้นกระเบื้องและพื้นไม้และการตกแต่งภูมิทัศน์
Article Details
ประเภทบทความ
บทความวิจัย
บทความที่ได้รับการตีพิมพ์เป็นลิขสิทธิ์ของวารสารวิศวกรรมสารฉบับวิจัยและพัฒนา วิศวกรรมสถานแห่งประเทศไทย ในพระบรมราชูปถัมภ์
เอกสารอ้างอิง
[1] Radujković, M. and Sjekavica, M. Project management success factors. In: Creative Construction Conference 2017 (CCC 2017), Primosten , 19-22 June 2017, pp.
607–615.
[2] Soltani, A. and Haji, R. A project scheduling method based on fuzzy theory. Journal of Industrial and Systems Engineering, 2007, 1(1), pp. 70-80.
[3] Liang, T.F. Applying fuzzy goal programming to project management decisions with multiple goals in uncertain environments. Expert Systems with
Applications, 2010, 37, pp. 8499-8507. DOI: 10.1016/j.eswa.2010.05.026
[4] Kharola, A. and Singh, S.B. Development of fuzzy logic model for project management success. PM World Journal, 2014, 3(1), pp. 1-11. Corpus ID: 115027176
[5] Ali, R. et al. (ed.). Fuzzy evaluation method for project profitability. Advances in Intelligent Systems and Computing, 2016, pp. 17–27. DOI: 10.1007/978-3-319-
45991-2_2
[6] Sharma, B. and Pandey, M. Sensitivity analysis of project scheduling using fuzzy set theory. International Research Journal of Engineering and Technology,
2017, 4(6), pp. 2159-2165. E-ISSN: 2395-0056
[7] Doskočil, R. An evaluation of total project risk based on fuzzy logic. Verslas Teorija Ir Praktika, 2016, 17(1), pp. 23-31. DOI: 10.1016/j.apm.2007.04.009
[8] Boloş, M.I. et al. Development of a fuzzy logic system to identify the risk of projects financed from structural funds. International Journal of Computers,
Communications & Control, 2015, 10(4), pp. 480-491. ISSN: 1841-9836
[9] Feng, L. and Junyin, W. A fuzzy approach for the project management. In: 2007 International Conference on Wireless Communications, Networking and Mobile
Computing (WiCOM), Honolulu, 21-25 September 2007, pp. 5180–5183.
[10] Mazlum, M. and Güneri, A.F. CPM, PERT and project management with fuzzy logic technique and implementation on a business. Procedia - Social and
Behavioral Sciences, 2015, 210, pp. 348-357. DOI: 10.1016/j.sbspro.2015.11.378
[11] Carr, V. and Tah, J.H.M. A fuzzy approach to construction project risk assessment and analysis: construction project risk management system. Advances in
Engineering Software, 2001, 32, pp. 847-857. DOI: 10.1016/j.ijproman.2010.02.002
[12] Han, T.C. et al. Application of fuzzy critical path method to airport's cargo ground operation systems. Journal of Marine Science and Technology, 2006, 14(3),
pp. 139-146. Corpus ID: 1821465
[13] Ökmen, Ö. and Öztaş, A. A CPM-based scheduling method for construction projects with fuzzy sets and fuzzy operations. Journal of the South African
Institution of Civil Engineering, 2014, 56(2), pp. 1-8.
[14] Ökmen, Ö. and Öztaş, A. Uncertainty evaluation with fuzzy schedule risk analysis model in activity networks of construction projects. Journal of the South
African Institution of Civil Engineering, 2014, 56(2), pp. 9-20.
[15] Chen, S.P. and Hsueh, Y.J. A simple approach to fuzzy critical path analysis in project networks. Applied Mathematical Modelling, 2008, 32, pp. 1289-1297. DOI:
10.1016/j.apm.2007.04.009
[16] Kaur, P. and Kumar, A. Linear programming approach for solving fuzzy critical path problems with fuzzy parameters. Applied Soft Computing, 2014, 21, pp.
309–319. DOI: 10.1016/j.asoc.2014.03.017
[17] Castro-Lacouture, D. et al. Construction project scheduling with time, cost, and material restrictions using fuzzy mathematical models and critical path
method. Journal of Construction Engineering and Management, 2009, 135 (10), pp. 1096–1104. DOI: 10.1061/ ASCE 0733-9364 2009 135:10 1096
[18] Boushaala, A.A.M. et al. An approach for project scheduling using PERT/CPM and Petri Nets (PNs) tools. International Journal of Modern Engineering
Research, 2013, 3(5), pp. 3200–3206. DOI: 10.6084/m9.figshare.1093976.v1
[19] Mehlawat, M.K. and Gupta, P. A new fuzzy group multi-criteria decision making method with an application to the critical path selection. International Journal
of Advanced Manufacturing Technology, 2016, 83, pp. 1281-1296. DOI: 10.1007/s00170-015-7610-4
[20] Kurij, K. et al . Analysis of construction dynamic plan using Fuzzy Critical Path Method. TEHNIKA-NAšE GRAĐEVINARSTVO, 2014, 69(2), pp. 209–215. UDC:
69:519.876.3
[21] Nasution, S. Techniques and applications of fuzzy theory to critical path methods, Indonesia: Academic Press, 1999
607–615.
[2] Soltani, A. and Haji, R. A project scheduling method based on fuzzy theory. Journal of Industrial and Systems Engineering, 2007, 1(1), pp. 70-80.
[3] Liang, T.F. Applying fuzzy goal programming to project management decisions with multiple goals in uncertain environments. Expert Systems with
Applications, 2010, 37, pp. 8499-8507. DOI: 10.1016/j.eswa.2010.05.026
[4] Kharola, A. and Singh, S.B. Development of fuzzy logic model for project management success. PM World Journal, 2014, 3(1), pp. 1-11. Corpus ID: 115027176
[5] Ali, R. et al. (ed.). Fuzzy evaluation method for project profitability. Advances in Intelligent Systems and Computing, 2016, pp. 17–27. DOI: 10.1007/978-3-319-
45991-2_2
[6] Sharma, B. and Pandey, M. Sensitivity analysis of project scheduling using fuzzy set theory. International Research Journal of Engineering and Technology,
2017, 4(6), pp. 2159-2165. E-ISSN: 2395-0056
[7] Doskočil, R. An evaluation of total project risk based on fuzzy logic. Verslas Teorija Ir Praktika, 2016, 17(1), pp. 23-31. DOI: 10.1016/j.apm.2007.04.009
[8] Boloş, M.I. et al. Development of a fuzzy logic system to identify the risk of projects financed from structural funds. International Journal of Computers,
Communications & Control, 2015, 10(4), pp. 480-491. ISSN: 1841-9836
[9] Feng, L. and Junyin, W. A fuzzy approach for the project management. In: 2007 International Conference on Wireless Communications, Networking and Mobile
Computing (WiCOM), Honolulu, 21-25 September 2007, pp. 5180–5183.
[10] Mazlum, M. and Güneri, A.F. CPM, PERT and project management with fuzzy logic technique and implementation on a business. Procedia - Social and
Behavioral Sciences, 2015, 210, pp. 348-357. DOI: 10.1016/j.sbspro.2015.11.378
[11] Carr, V. and Tah, J.H.M. A fuzzy approach to construction project risk assessment and analysis: construction project risk management system. Advances in
Engineering Software, 2001, 32, pp. 847-857. DOI: 10.1016/j.ijproman.2010.02.002
[12] Han, T.C. et al. Application of fuzzy critical path method to airport's cargo ground operation systems. Journal of Marine Science and Technology, 2006, 14(3),
pp. 139-146. Corpus ID: 1821465
[13] Ökmen, Ö. and Öztaş, A. A CPM-based scheduling method for construction projects with fuzzy sets and fuzzy operations. Journal of the South African
Institution of Civil Engineering, 2014, 56(2), pp. 1-8.
[14] Ökmen, Ö. and Öztaş, A. Uncertainty evaluation with fuzzy schedule risk analysis model in activity networks of construction projects. Journal of the South
African Institution of Civil Engineering, 2014, 56(2), pp. 9-20.
[15] Chen, S.P. and Hsueh, Y.J. A simple approach to fuzzy critical path analysis in project networks. Applied Mathematical Modelling, 2008, 32, pp. 1289-1297. DOI:
10.1016/j.apm.2007.04.009
[16] Kaur, P. and Kumar, A. Linear programming approach for solving fuzzy critical path problems with fuzzy parameters. Applied Soft Computing, 2014, 21, pp.
309–319. DOI: 10.1016/j.asoc.2014.03.017
[17] Castro-Lacouture, D. et al. Construction project scheduling with time, cost, and material restrictions using fuzzy mathematical models and critical path
method. Journal of Construction Engineering and Management, 2009, 135 (10), pp. 1096–1104. DOI: 10.1061/ ASCE 0733-9364 2009 135:10 1096
[18] Boushaala, A.A.M. et al. An approach for project scheduling using PERT/CPM and Petri Nets (PNs) tools. International Journal of Modern Engineering
Research, 2013, 3(5), pp. 3200–3206. DOI: 10.6084/m9.figshare.1093976.v1
[19] Mehlawat, M.K. and Gupta, P. A new fuzzy group multi-criteria decision making method with an application to the critical path selection. International Journal
of Advanced Manufacturing Technology, 2016, 83, pp. 1281-1296. DOI: 10.1007/s00170-015-7610-4
[20] Kurij, K. et al . Analysis of construction dynamic plan using Fuzzy Critical Path Method. TEHNIKA-NAšE GRAĐEVINARSTVO, 2014, 69(2), pp. 209–215. UDC:
69:519.876.3
[21] Nasution, S. Techniques and applications of fuzzy theory to critical path methods, Indonesia: Academic Press, 1999
