پديد آورندگان :
ﻃﺎﻫﺮي اﻣﯿﺮي، ﻣﺤﻤﺪﺟﻮاد داﻧﺸﮕﺎه ﺻﻨﻌﺘﯽ ﻧﻮﺷﯿﺮواﻧﯽ ﺑﺎبل , ﺣﻘﯿﻘﯽ، ﻓﺮﺷﯿﺪرﺿﺎ داﻧﺸﮕﺎه ﺻﻨﻌﺘﯽ ﻧﻮﺷﯿﺮواﻧﯽ ﺑﺎﺑل - داﻧﺸﮑﺪه ﻣﻬﻨﺪﺳﯽ ﻋﻤﺮان , اﺷﺘﻬﺎردﯾﺎن، اﺣﺴﺎن اﻟﻪ داﻧﺸﮕﺎه ﺗﺮﺑﯿﺖ ﻣﺪرس - گروه ﻣﺪﯾﺮﯾﺖ ﭘﺮوژه و ﺳﺎﺧﺖ , ﻋﺎﺑﺴﯽ، ﻋﺰﯾﺮ داﻧﺸﮕﺎه ﺻﻨﻌﺘﯽ ﻧﻮﺷﯿﺮواﻧﯽ ﺑﺎﺑل - داﻧﺸﮑﺪه ﻣﻬﻨﺪﺳﯽ ﻋﻤﺮان
كليدواژه :
زﻧﺠﯿﺮه ﺑﺤﺮاﻧﯽ , ﻣﻮازﻧﻪي ﻫﺰﯾﻨﻪ , اﻟﮕﻮرﯾﺘﻢ ﺑﻬﯿﻨﻪﺳﺎزي ازدﺣﺎم ذرات ﭼﻨﺪﻫﺪﻓﻪ , ﺟﻮابﻫﺎي ﭘﺎرﺗﻮ
چكيده فارسي :
ﺑﺎ اﻋﺘﻘﺎد ﺑﻪ اﯾﻦ واﻗﻌﯿﺖ ﮐﻪ ﯾﮏ ﻓﻌﺎﻟﯿﺖ ﻣﯽﺗﻮاﻧﺪ از ﭼﻨﺪﯾﻦ راه ﯾﺎ ﺣﺎﻟﺖ اﻧﺠﺎم ﭘﺬﯾﺮد و ﯾﺎ در ﺷﺮاﯾﻂ واﻗﻌﯽ، ﻣﻤﮑﻦ اﺳﺖ ﭼﻨﺪﯾﻦ ﺣﺎﻟﺖ اﺟﺮاﯾﯽ ﺑﺮاي ﻓﻌﺎﻟﯿﺖﻫﺎ ﺑﺎ ﻣﯿﺰان ﻣﻨﺎﺑﻊ ﻣﺨﺘﻠﻒ وﺟﻮد داﺷﺘﻪ ﺑﺎﺷﺪ، ﻧﯿﺎز ﺑﻪ ارزﯾﺎﺑﯽ زﻣﺎﻧﺒﻨﺪي ﺣﺎﺻﻞ از روﺷﻬﺎي ﻣﺨﺘﻠﻒ از ﺗﺮﮐﯿﺐﻫﺎي ﻣﺨﺘﻠﻒ زﻣﺎن-ﻣﻨﺎﺑﻊ-ﮐﯿﻔﯿﺖ و ﺑﻬﯿﻨﻪﺳﺎزي آﻧﻬﺎ ﻣﯽﺑﺎﺷﺪ ﮐﻪ از آن ﺑﻪ ﻣﺴﺎﺋﻞ ﺑﺎ ﻋﻨﻮان زﻣﺎﻧﺒﻨﺪي ﭘﺮوژه ﺑﺎ ﻣﻨﺎﺑﻊ ﭼﻨﺪ ﺣﺎﻟﺘﻪ ﯾﺎد ﻣﯽﺷﻮد. از ﻃﺮﻓﯽ دﯾﮕﺮ ﮐﺎرﺑﺮد ﺗﺌﻮري ﻣﺤﺪودﯾﺖﻫﺎ در ﻣﺪﯾﺮﯾﺖ ﭘﺮوژه ﻣﻨﺠﺮ ﺑﻪ اﯾﺠﺎد روﯾﮑﺮد ﺟﺪﯾﺪي در ﺑﺮﻧﺎﻣﻪرﯾﺰي و ﮐﻨﺘﺮل ﭘﺮوژهﻫﺎ ﺑﺎ ﻋﻨﻮان زﻧﺠﯿﺮه ﺑﺤﺮاﻧﯽ ﺷﺪه اﺳﺖ ﮐﻪ ﻣﻄﺎﻟﻌﻪ ﺣﺎﺿﺮ اﺳﺘﻔﺎده از ﺗﮑﻨﯿﮏ زﻧﺠﯿﺮه ﺑﺤﺮاﻧﯽ و ﻣﻮازﻧﻪ ﻫﻤﺰﻣﺎن زﻣﺎن-ﻫﺰﯾﻨﻪ-ﮐﯿﻔﯿﺖ را ﻣﺪﻧﻈﺮ دارد. در اﯾﻦ ﻣﻄﺎﻟﻌﻪ ﺑﺎ اﺳﺘﻔﺎده از ﺗﻮاﻧﺎﯾﯽ ﺑﺎﻻي اﻟﮕﻮرﯾﺘﻢ ﭼﻨﺪ ﻫﺪﻓﻪ ازدﺣﺎم ذرات در ﺑﻬﯿﻨﻪﺳﺎزي، ﺑﻪ ﺣﻞ ﻣﺴﺌﻠﻪ ﭼﻨﺪ ﻫﺪﻓﻪ ﻣﻮازﻧﻪ زﻣﺎن-ﻫﺰﯾﻨﻪ-ﮐﯿﻔﯿﺖ و ﺑﺎ ﺗﮑﻨﯿﮏ زﻧﺠﯿﺮه ﺑﺤﺮاﻧﯽ ﭘﺮداﺧﺘﻪ ﺷﺪه اﺳﺖ ﺗﺎ ﺑﺘﻮاﻧﺪ ﻣﻨﺎﺳﺐﺗﺮﯾﻦ ﺗﻮاﻟﯽ و ﺣﺎﻟﺖ اﺟﺮاﯾﯽ ﻓﻌﺎﻟﯿﺖﻫﺎ ﺑﻪ ﻧﺤﻮي ﮐﻪ در آن زﻣﺎن، ﻫﺰﯾﻨﻪ و ﮐﯿﻔﯿﺖ در ﺑﻬﯿﻨﻪﺗﺮﯾﻦ ﺣﺎﻟﺖ ﻣﻤﮑﻦ ﻧﺰدﯾﮏ ﺑﻪ واﻗﻌﯿﺖ و اﺟﺮاﯾﯽ ﺧﻮد ﻗﺮار داﺷﺘﻪ ﺑﺎﺷﻨﺪ را ﺑﯿﺎﺑﺪ. ﺑﺮﻧﺎﻣﻪﻧﻮﯾﺴﯽ اﻟﮕﻮرﯾﺘﻢ ﺑﻬﯿﻨﻪﺳﺎزي ﺑﺎ ﻧﺮم اﻓﺰار ﻣﺘﻠﺐ ﮐﺪﻧﻮﯾﺴﯽ ﺷﺪه و ﻧﺘﺎﯾﺞ ﻣﻮرد ﻧﻈﺮ اﺳﺘﺨﺮاج ﺷﺪ. ﺑﻪ ﻣﻨﻈﻮر ارزﯾﺎﺑﯽ ﻣﺪل ﭘﯿﺸﻨﻬﺎد ﺷﺪه، دو ﻣﺜﺎل ﻣﻮردي ﺑﺎ ﺗﻌﺪاد 7 و 18 ﻓﻌﺎﻟﯿﺖ ﺣﻞ ﺷﺪه اﺳﺖ. در ﺿﻤﻦ از ﯾﮏ ﭘﺮوژه ﺑﺎ 60 ﻓﻌﺎﻟﯿﺖ ﻧﯿﺰ ﮐﻪ ﻣﻮازﻧﻪ زﻣﺎن ﻫﺰﯾﻨﻪ ﮐﯿﻔﯿﺖ در آن ﺻﻮرت ﮔﺮﻓﺘﻪ ﺑﻮد، ﺑﻪ ﻣﻨﻈﻮر ﺻﺤﺖﺳﻨﺠﯽ اﻟﮕﻮرﯾﺘﻢ ﭘﯿﺸﻨﻬﺎدي اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ و ﻧﺘﺎﯾﺞ ﺟﺪﯾﺪي اﺳﺘﺨﺮاج ﺷﺪه و ﻣﻘﺎﯾﺴﻪ ﺻﻮرت ﮔﺮﻓﺖ. ﻧﺘﺎﯾﺞ ﻧﺸﺎن داد ﮐﻪ اﻟﮕﻮرﯾﺘﻢ ﺗﻮﺳﻌﻪ داده ﺷﺪه ﻋﻤﻠﮑﺮد ﺻﺤﯿﺢ و ﺧﻮﺑﯽ داﺷﺘﻪ اﺳﺖ ﺑﻪ ﻃﻮرﯾﮑﻪ ﻗﺎﺑﻠﯿﺖ اﯾﺤﺎد ﭼﻨﺪﯾﻦ ﺟﻮاب ﭘﺎرﺗﻮ ﺑﺎ ﻣﻘﺎدﯾﺮ ﻣﺨﺘﻠﻒ ﺳﻪ ﺗﺎﺑﻊ ﻫﺪف زﻣﺎن، ﻫﺰﯾﻨﻪ و ﮐﯿﻔﯿﺖ را دارد ﮐﻪ اﯾﻦ اﻣﺮ ﺑﻪ ﻣﺪﯾﺮان ﭘﺮوژه اﯾﻦ اﻣﮑﺎن را ﻣﯽدﻫﺪ ﺗﺎ ﺑﺎ ﺗﻮﺟﻪ ﺑﻪ اوﻟﻮﯾﺖ ﺧﻮد از ﻧﻈﺮ زﻣﺎﻧﯽ، ﮐﯿﻔﯽ ﯾﺎ ﻫﺰﯾﻨﻪاي ﺟﻮاب ﺑﻬﺘﺮ را ﺑﺮﮔﺰﯾﻨﺪ.
چكيده لاتين :
Believing in the fact that an activity can be performed through several methods or states, or that there may be several executive states for activities with different numbers of resources in real conditions, the scheduling obtained from different methods with different combinations of time, resources, and quality need to be evaluated and optimized. These are referred to as project scheduling problems with multistate resources. On the other hand, application of the theory of constraints to project management has led to the development of a novel approach in project planning and control known as the critical chain. The present paper seeks to use the critical chain technique and simultaneous time-cost-quality trade off. In this study, the multi-objective problem of time-cost-quality trade off has been solved using the high capability of the multi-objective particle swarm algorithm in optimization and the critical chain technique, so that the most appropriate sequence and executive state of activities is found such that time, cost, and quality are optimized and close to reality. The optimization algorithm programming was coded in the MATLAB software, and the target results were extracted. For evaluation of the proposed model, two case studies with 7 and 18 activities have been solved. Furthermore, a project with 60 activities where the time-cost-quality trade off had been established were used for validation of the proposed algorithm, and new results were extracted. The results demonstrated that the developed algorithm has had correct, proper performance, in such a way that it is capable of generating several Pareto solutions with different time, cost, and quality values. Furthermore, the results have been reported separately based on the best time, cost, and quality, which makes it possible for the project managers to select the better solutions given their priorities in the project.
