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کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: International Journal of Engineering, Transactions A: Basics
- نوع مقاله: Journal Article
- کلمات کلیدی: Genetic Algorithms,multi,criteria parallel machine scheduling,Earliness and tardiness penalties,Machine costs
- چکیده:
- چکیده انگلیسی: .
- انتشار مقاله: 11-10-1348
- نویسندگان: Moeed Haghnevis,Yasaman Khodadadeghan,Fariborz Jolai,Reza Tavakkoli-Moghaddam
- مشاهده
- جایگاه : پژوهشی
- مجله: International Journal of Engineering, Transactions A: Basics
- نوع مقاله: Journal Article
- کلمات کلیدی: Project management,Mathematical Programming,R and D Project Portfolio Selection
- چکیده:
- چکیده انگلیسی: Technology centered organizations must be able to identify promising new products or process improvements at an early stage so that the necessary resources can be allocated to those activities. It is essential to invest in targeted research and development (R and D) projects as opposed to a wide range of ideas so that resources can be focused on successful outcomes. The selection of the most appropriate projects is the aim of R and D project selection models. The project selection is complicated by many factors, such as vision and preferences of decision makers, allocating the right human resources, interrelationships between projects, and changes over time and success factors that are difficult to measure. In this article we formulate essential factors in R and D project portfolio selection by a mathematical model, which consider a multi- objective function for maximizing corporate benefit through quantitative and qualitative criteria as well as insight and preferences of decision makers and human resource allocation which does not exceed organizations constraints such as planning horizon, available resources and interrelationships between projects.
- انتشار مقاله: 11-10-1348
- نویسندگان: H.R. Ghorbani,Fariborz Jolai,Reza Tavakkoli-Moghaddam,Masoud Rabbani
- مشاهده
- جایگاه : پژوهشی
- مجله: International Journal of Engineering, Transactions A: Basics
- نوع مقاله: Journal Article
- کلمات کلیدی: Simulated Annealing,Machine/Cellular Layout,Intra/Inter,Cell Movement,CMS,Stochastic Demands
- چکیده:
- چکیده انگلیسی:
- انتشار مقاله: 11-10-1348
- نویسندگان: S.M. Mirgorbani,Fariborz Jolai,B. Javadi,Reza Tavakkoli-Moghaddam
- مشاهده
- جایگاه : پژوهشی
- مجله: Advances in Industrial Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: Project scheduling,Multi- mode activities,Minimum and maximum time lags,Two-stage genetic algorithm
- چکیده:
- چکیده انگلیسی: In this study, we present a MRCPSP/max (Multi-mode Resource-Constrained Project Scheduling Problem with Minimum and Maximum time lags) model with minimization tardiness costs and maximization earliness rewards of activities as objective. The proposed model is nearby to real-world problems and has wide applications in various projects. This problem is not available in the literature exactly and we developed it for the first time. In order to solve this problem, we developed a two-stage genetic algorithm. In the first stage, the main problem is simplified, through applying a genetic algorithm, in which each activity has only one executive mode. In the second phase, with developing another genetic algorithm, the best answer of the problem is achieved. Each phase has its own codification, fitness function, crossover operator and mutation operator. Finally, the computational results obtained from the algorithms of this research, which was written in MATLAB programming language, was compared with the results existing in the project scheduling problems library (PSPLIB). The findings show that, our algorithm improved some of the best solutions, recorded in the PSPLIB.
- انتشار مقاله: 09-02-1391
- نویسندگان: Jafar Bagherinejad,Fariborz Jolai,Zahra Rafiee Majd
- مشاهده