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   موازنه هزینه، زمان، کیفیت در زمانبندی پروژه با کیفیت فازی  
   
نویسنده شهسواری پور ناصر ,حیدربیگی شهلا ,نصرالهی فاطمه
منبع سيستم هاي فازي و كاربردها - 1400 - دوره : 4 - شماره : 2 - صفحه:43 -68
چکیده    ﻣﺪﯾﺮان ﭘﺮوژه اﻏﻠﺐ ﺑ ﺎ اﻫﺪاف ﻣﺨﺘﻠﻒ و ﮔ ﺎﻫﺎً ﻣﺘﻀﺎد در ﺑﻬﯿﻨﻪﺳﺎزی ﻣﻨ ﺎﺑ ﻊ ﭘﺮوژهﻫﺎ روﺑﺮو ﻫﺴﺘﻨﺪ. در ﺳﺎلﻫﺎی اﺧﯿﺮ ﻧﯿﺰ ﺗﻘﺎﺿﺎی ذﯾﻨﻔﻌﺎن ﭘﺮوژه، ﻣﺒﻨﯽ ﺑﺮ ﮐﺎﻫﺶ ﻫﺰﯾﻨﻪﻫﺎی ﮐﻞ ﭘﺮوژه ﻫﻢزﻣﺎن ﺑﺎ ﮐﺎﻫﺶ ﻣﺪت زﻣﺎن و اﻓﺰاﯾﺶ ﮐﯿﻔﯿﺖ آن ﺗﺸﺪﯾﺪ ﺷﺪه اﺳﺖ. ﻟﺬا ﻣﻮازﻧﻪ زﻣﺎن، ﻫﺰﯾﻨﻪ و ﮐﯿﻔﯿﺖ از اﻫﺪاف اﺳﺎﺳﯽ ﭘ ﺮوژه ﻣﺤﺴﻮب ﻣﯽﺷﻮﻧﺪ. اﯾﻦ ﻣﻮﺿﻮﻋﺎت ﭘﮋوﻫﺸﮕﺮان را ﺑﻪﺳﻮی ﺗﻮﺳﻌﻪ ﻣﺪلﻫﺎﯾﯽ ﮐﻪ ﻋﺎﻣﻞ ﮐﯿﻔﯿﺖ را ﺑﻪ ﻣﺪلﻫﺎی ﻗﺒﻠﯽ ﻣﻮازﻧﻪ ﻫﺰﯾﻨﻪ زﻣﺎن ﻣﯽاﻓﺰاﯾﺪ، ﻫﺪاﯾﺖ ﻣﯽﮐﻨﺪ. اﯾﻦ ﭘﮋوﻫﺶ ﻣﺪﻟﯽ ﺑﺮای ﻣﻮازﻧﻪ ﻫﺰﯾﻨﻪ، زﻣﺎن، ﮐﯿﻔﯿﺖ، در ﺣﺎﻟﺖ ﮔﺴﺴﺘﻪ اراﺋﻪ ﻣﯽدﻫﺪ. اﻟﺒﺘﻪ ازآﻧﺠﺎﮐﻪ ﻋﺎﻣﻞ ﮐﯿﻔﯿﺖ ﻣﺎﻧﻨﺪ ﻋﻮاﻣﻞ ﻫﺰﯾﻨﻪ و زﻣﺎن ﯾﮏ ﻋﺎﻣﻞ ﮐﻤﯽ ﻧﯿﺴﺖ و در دﻧﯿ ﺎی واﻗ ﻌﯽ ﭘ ﺮوژهﻫﺎ، ﮐﯿﻔﯿﺖ ﯾﮏ ﻣﺘﻐﯿ ﺮ زﺑﺎﻧﯽ اﺳ ﺖ و ازﻧﻈﺮ اﺷﺨﺎص ﺧﺒﺮه ﺑﻪ دﺳﺖ ﻣﯽآﯾﺪ.
کلیدواژه ﻣﺪﯾﺮﯾﺖ ﭘﺮوژه، ﻧﻈﺮﯾﻪ ﻓﺎزی، ﮐﯿﻔﯿﺖ، ﻫﺰﯾﻨﻪ
آدرس داﻧﺸﮕﺎه وﻟﯽ ﻋﺼﺮ(ﻋﺞ) رﻓﺴﻨﺠﺎن, داﻧﺸﮑﺪه اﻗﺘﺼﺎد و ﻣﺪﯾﺮﯾﺖ, ایران, ﻣﻮﺳﺴﻪ ﻋﺎﻟﯽ آﻣﻮزش ﭘﮋوﻫﺶ ﻣﺪﯾﺮﯾﺖ و ﺑﺮﻧﺎﻣﻪ رﯾﺰی, ایران, دانشگاه ولی عصر (ع) رفسنجان, دانشکده اقتصاد و مدیریت
 
   Time-Cost-Quality Trade-off in Project Scheduling with fuzzy quality  
   
Authors Shahsavaripour Naser ,Heydarbeygi Shahla
Abstract    Project managers often face different and sometimes conflicting goals in optimizing project resources. In recent years, the demand of the project stakeholders to reduce the total cost of the project and reduce the time and increase its quality have intensified. Therefore, the balance of time, cost, and quality are the project’s main goals. These topics lead researchers to develop models that add a quality factor to previous time balance models. This research provides a model for balancing cost, time and, quality, in discrete mode. Of course, since the quality factor is not a quantitative factorlike cost and time factors, and in the real world of projects, quality is a linguistic variable. It is obtained from the point of view of experts, so in this research, the quality of activities is shown as fuzzy numbers. By finding the optimal combination (time, cost, quality) of each activity, this model compresses the activities to reduce the costs of the whole project, while achieving the desired quality. A new metaheuristic algorithm called NHGA is introduced to solve the model, which has a much higher efficiency than GA to solve model, so with a case study, the efficiency of the proposed algorithm and the flexibility of the proposed model for project managers is shown
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