Utilizing fuzzy banana curve for project monitoring and control
A key responsibility of project management is to control and monitor project progress. One commonly used tool is the S-curve, which highlights any deviations from the project plan. Another proper curve is the Banana curve, a variation of the S-curve that shows the earliest and latest times of the pr...
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| Format: | Article |
| Language: | English |
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Ayandegan Institute of Higher Education,
2024-09-01
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| Series: | International Journal of Research in Industrial Engineering |
| Subjects: | |
| Online Access: | https://www.riejournal.com/article_202115_539f3c49a0d8e8189f677dc3210f567f.pdf |
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| _version_ | 1832577726691672064 |
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| author | Mahmood Jahanbani Hamid Shahbandarzadeh |
| author_facet | Mahmood Jahanbani Hamid Shahbandarzadeh |
| author_sort | Mahmood Jahanbani |
| collection | DOAJ |
| description | A key responsibility of project management is to control and monitor project progress. One commonly used tool is the S-curve, which highlights any deviations from the project plan. Another proper curve is the Banana curve, a variation of the S-curve that shows the earliest and latest times of the project schedule. This article introduces the Fuzzy Banana Curve (FBC) as a novel concept in project management. It considers the fuzzy duration of project activities and compares it with the actual progress curve, analyzing the effects of environmental vagueness by setting various α-cuts. According to the results of the research, if the actual progress percentage curve is above the ASAP curve with α-cut=1, the project plan may not be defined accurately; if this curve is below or close to the ASAP curve with α-cut=1, It can indicate the excellent performance of the project management, if this curve is placed under the ALAP curve with α-cut=0, the project manager has used all the capacity to change the duration of the activities and all the floats of the scheduling network and has had the worst performance in the project. If the curve of the percentage of actual progress is placed between the curve of ASAP with α-cut=1 and ALAP with α-cut=0, in that case, it can be analyzed according to the vagueness of the project performance environment. |
| format | Article |
| id | doaj-art-26f68fabbe234cdeba206be95b14b52f |
| institution | Kabale University |
| issn | 2783-1337 2717-2937 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | Ayandegan Institute of Higher Education, |
| record_format | Article |
| series | International Journal of Research in Industrial Engineering |
| spelling | doaj-art-26f68fabbe234cdeba206be95b14b52f2025-01-30T15:10:37ZengAyandegan Institute of Higher Education,International Journal of Research in Industrial Engineering2783-13372717-29372024-09-0113332734210.22105/riej.2024.446570.1425202115Utilizing fuzzy banana curve for project monitoring and controlMahmood Jahanbani0Hamid Shahbandarzadeh1Shiraz University, Shiraz, Iran.Department of Industrial Management, Persian Gulf University, Bushehr, Iran.A key responsibility of project management is to control and monitor project progress. One commonly used tool is the S-curve, which highlights any deviations from the project plan. Another proper curve is the Banana curve, a variation of the S-curve that shows the earliest and latest times of the project schedule. This article introduces the Fuzzy Banana Curve (FBC) as a novel concept in project management. It considers the fuzzy duration of project activities and compares it with the actual progress curve, analyzing the effects of environmental vagueness by setting various α-cuts. According to the results of the research, if the actual progress percentage curve is above the ASAP curve with α-cut=1, the project plan may not be defined accurately; if this curve is below or close to the ASAP curve with α-cut=1, It can indicate the excellent performance of the project management, if this curve is placed under the ALAP curve with α-cut=0, the project manager has used all the capacity to change the duration of the activities and all the floats of the scheduling network and has had the worst performance in the project. If the curve of the percentage of actual progress is placed between the curve of ASAP with α-cut=1 and ALAP with α-cut=0, in that case, it can be analyzed according to the vagueness of the project performance environment.https://www.riejournal.com/article_202115_539f3c49a0d8e8189f677dc3210f567f.pdffuzzy banana curvefuzzy s-curve envelopeearned valuebanana curvescheduleproject management |
| spellingShingle | Mahmood Jahanbani Hamid Shahbandarzadeh Utilizing fuzzy banana curve for project monitoring and control International Journal of Research in Industrial Engineering fuzzy banana curve fuzzy s-curve envelope earned value banana curve schedule project management |
| title | Utilizing fuzzy banana curve for project monitoring and control |
| title_full | Utilizing fuzzy banana curve for project monitoring and control |
| title_fullStr | Utilizing fuzzy banana curve for project monitoring and control |
| title_full_unstemmed | Utilizing fuzzy banana curve for project monitoring and control |
| title_short | Utilizing fuzzy banana curve for project monitoring and control |
| title_sort | utilizing fuzzy banana curve for project monitoring and control |
| topic | fuzzy banana curve fuzzy s-curve envelope earned value banana curve schedule project management |
| url | https://www.riejournal.com/article_202115_539f3c49a0d8e8189f677dc3210f567f.pdf |
| work_keys_str_mv | AT mahmoodjahanbani utilizingfuzzybananacurveforprojectmonitoringandcontrol AT hamidshahbandarzadeh utilizingfuzzybananacurveforprojectmonitoringandcontrol |