Abstract

Nowadays, sustainable manufacturing has been recognized as a key technology for advanced manufacturing, and improving energy efficiency of manufacturing system is an important aspect. However, little attention has been paid to the development of flexible process planning (FPP) problem that takes into account the energy consumption. In this paper, an energy-efficient flexible process planning model that incorporates energy consumption and cycle time is proposed. For solving the problem, an improved hybrid algorithm (IHA) based on hormone modulation mechanism is devised to explore the optimal solution. The IHA incorporates a new crossover operation based on the precedence constrain module and a new annealing rate function inspired by hormone modulation mechanism. The IHA tries to overcome the local optimum and further to explore the solution space. Finally, computational experiments were conducted, and the comparison was made for the approach and other algorithms like GA and SA. The experimental results show that the approach is feasible and effective in the optimization research of flexible process planning.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call