Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on a multiproject resource allocation problem in#R##N#a bilevel organization. To solve this problem, a bilevel multiproject resource allocation model under a fuzzy random#R##N#environment is proposed. Two levels of decision makers are#R##N#considered in the model. On the upper level, the company manager#R##N#aims to allocate the company's resources to multiple projects to#R##N#achieve the lost cost, which include resource costs and a#R##N#tardiness penalty. On the lor level, each project manager attempts#R##N#to schedule their resource-constrained project, with minimization of#R##N#project duration as the main objective. In contrast to prior#R##N#studies, uncertainty in resource allocation has been explicitly#R##N#considered. Specifically, our research uses fuzzy random variables#R##N#to model uncertain activity durations and resource costs. To search#R##N#for the optimal solution of the bilevel model, a hybrid algorithm#R##N#made up of an adaptive particle swarm optimization, an adaptive#R##N#hybrid genetic algorithm, and a fuzzy random simulation algorithm is#R##N#also proposed. Finally, the efficiency of the proposed model and#R##N#algorithm is evaluated through a practical case from an industrial#R##N#equipment installation company. The results show that the proposed#R##N#model is efficient in dealing with practical resource allocation problems in a bilevel organization.
['Jun Gang', 'Jiuping Xu', 'Yinfeng Xu']
I am writing a research paper on a idea Multiproject Resources Allocation Model under Fuzzy Random Environment and Its Application to Industrial Equipment Installation Engineering
[{"from": "human", "value": "I am writing a research paper on a idea Multiproject Resources Allocation Model under Fuzzy Random Environment and Its Application to Industrial Equipment Installation Engineering"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  focuses on a multiproject resource allocation problem in#R##N#a bilevel organization. To solve this problem, a bilevel multiproject resource allocation model under a fuzzy random#R##N#environment is proposed. Two levels of decision makers are#R##N#considered in the model. On the upper level, the company manager#R##N#aims to allocate the company's resources to multiple projects to#R##N#achieve the lost cost, which include resource costs and a#R##N#tardiness penalty. On the lor level, each project manager attempts#R##N#to schedule their resource-constrained project, with minimization of#R##N#project duration as the main objective. In contrast to prior#R##N#studies, uncertainty in resource allocation has been explicitly#R##N#considered. Specifically, our research uses fuzzy random variables#R##N#to model uncertain activity durations and resource costs. To search#R##N#for the optimal solution of the bilevel model, a hybrid algorithm#R##N#made up of an adaptive particle swarm optimization, an adaptive#R##N#hybrid genetic algorithm, and a fuzzy random simulation algorithm is#R##N#also proposed. Finally, the efficiency of the proposed model and#R##N#algorithm is evaluated through a practical case from an industrial#R##N#equipment installation company. The results show that the proposed#R##N#model is efficient in dealing with practical resource allocation problems in a bilevel organization."}]