This paper proposes a new optimization-based project planning method that aims at a Pareto-optimal of the potential product performance of designed product and a project failure risk. A task option model is introduced for risk assessment of option-based project management. As its planning includes a number of various design variables and various evaluation indices, in order to solve such a complicated problem with a reasonable computation cost, this research separates the optimization problem into two phases, i.e., (i) defining of process architecture and organization structure and (ii) scheduling of resource allocation into activities. This paper demonstrates its application to a student formula design project. A proposed optimization method facilitates a project manager to explore various process plans with assessing their risks.
The importance of flexible and optimal planning of engineering design process for ensuring business success is increasingly recognized in today’s competitive environment. Because a product consists of a lot of subsystems each of which has technical functionalities, an engineering design process consists of two different activities, i.e., an activity to enhance the technical performance level of each subsystem, and an activity to enhance the integrity among the subsystems. When considering the limitation of resources that a manufacturer possesses, there is a trade-off between the achievement probabilities of those activities, although they correlate with each other. This paper proposes a new optimization method of design process planning that aims at a Pareto-optimal achievement of individual technical performances and total product integrity in order to support decision makings of a project manager. A planning of design process is a very complicated optimization problem including a number of various design variables and various evaluation indices. Some of those are discrete factors, while the others are continuous. In order to solve such a complicated problem with a reasonable computation cost, this research separates the optimization problem into two sub problems, i.e., (i) defining of process architecture and organization structure, that is, definition of activities, their sequences, and task groups and (ii) scheduling of resource allocation into activities. A growth curve model with a fuzzy number, which we have been developing, is used to formulate objective functions that evaluate the achievement probability of technical performance and its total integrity. The same model is adopted for objective functions of both sub problems so as to keep consistency between their optimization results. Neighborhood Cultivation GA (NCGA) is adopted in order to effectively solve the multi-objective optimization problem. This paper demonstrates its application to a student design project in order to show the ability of the method. A proposed optimization method facilitates a project manager to explore various process plans, to assess their risks, and decide a temporary plan.
The product design project includes many uncertainties. It causes risk that a project target cannot be accompolished within lead time. In order to flexibly handle the uncertainty and avoid the risk, adaptive planning that can switch easily to another plan by preparing options for a task is needed. When a challenging design alternative is difficult to be accompolished, a project manager should decide either to continue the design taking a risk or to switch to a conservative alternative disliking a risk. This paper proposes a new optimization-based project planning method that aims at a Pareto-optimal of the potential technical performane of designed product and a project failure risk. A task option model is employed for risk assesment of option-based project management. As its planning includes a number of various design variables and various evaluation indices, in order to solve such a complicated problem with a reasonable computation cost, this research separates the optimization problem into two phases, i.e., (i) defining of process architecture and organization structure and (ii) scheduling of resource allocation into activities. This paper demonstrates its application to a student formula design project. A proposed optimization method facilitates a project manager to explore various process plans with assessing their risks.
The product design project includes many uncertainties 、 It causes risk that a project target cannot be accompolished within Iead time, In order to Hexibly handle the uncertainty and avoid the risk , adaptive planning that can switch easily to another plan by preparing options fbr a task is needed . When a challenging design alternative is di 伍 cult to be accompolished '
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