Joint optimization of the high-end equipment development task process and resource allocation
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Joint optimization of the high-end equipment development task process and resource allocation Xilin Zhang1,2 • Yuejin Tan1 • Zhiwei Yang1
Ó Springer Nature B.V. 2018
Abstract Considering the various uncertainties in the implementation process of high-end equipment development tasks, the Monte Carlo simulation method is used to simulate the execution process of these tasks. Parameters such as the average duration and cost of the simulation output are used to evaluate the fitness of individuals, and consequently, the development process is optimized using the NSGA-III algorithm. By comparing the optimization results of the development task process under different quantities of resources, the impact of the quantity of resources on the optimization results of the development task process is analyzed. With a view to obtain a more satisfactory development task process, the PSO algorithm is nested into NSGA-III. The Pareto front solution set is obtained from the optimization of the task process. The PSO algorithm is applied to optimize the resource allocation for the development task process. Joint optimization of the high-end equipment development task process and resource allocation is carried out. Finally, the effectiveness of the proposed method is verified by an example. Keywords High-end equipment development task Process optimization NSGA-III Resource allocation Joint optimization
1 Introduction High-end equipment entails superior technology, large capital investment, the involvement of many disciplines, and a long service life. Generally, high-end equipment needs to be complemented by cross-domain, cross-industry, and cross-regional manufacturing capabilities such as high-end computer numerical control (CNC) machine tools and robots, aerospace equipment, advanced rail transit equipment, and so on. High-end equipment development involves complex system engineering. In the process of its & Zhiwei Yang [email protected] Xilin Zhang [email protected] Yuejin Tan [email protected] 1
College of Systems Engineering, National University of Defense Technology, Changsha 410073, China
2
Business School, Jiangsu Normal University, Xuzhou 221116, China
development, it is necessary to coordinate each team and allocate resources judiciously. The high-end equipment development task possess has many characteristics such as many random factors, rework iterations, a complex task network, and so on. A considerable amount of resources need to be invested in the development process. The entire development process is governed by an inflexible time constraint, and its overall progress can be affected if any of the participants do not complete the task on time, there are considerable risks involved in the process of development. In order to shorten the duration and reduce the cost of a development task, it is necessary to optimize its process by comprehensively considering various influencing factors. However, the development of the task process is closely related to the reso
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