An Optimization Model for Low Carbon Oriented Modular Product Platform Planning (MP3)

摘要

Consumers, industry, and government entities put more focus on the global warming. With this point in view, enterprises have started to take into account of the low carbon idea to develop products. Recently, lots of firms are using the Modular Product Platform Planning (MP3) between product generations for the rapid update of products with lesser production costs and time to market. Traditionally, MP3 mainly concerns on module sharing between product generations in modular planning, but pays no attention to the environmental concern which becomes an important design criterion due to the rising awareness of environmental protection. In this paper, an optimization model for low carbon oriented MP3 is presented. To support low carbon oriented MP3, this article proposed a probability approach to evaluate the scheme of modular planning for MP3. Meanwhile, a measurement method for low carbon performance of modular planning is provided. Then, an optimization model for low carbon oriented MP3 is formulated to determine the modular planning in pursuit of maximizing the low carbon performance of the product with controlling the implementation probability of MP3. Furthermore, an Adaptive Memetic Algorithm (AMA) is developed for solving the optimization problem. Finally, a case study is proposed to validate the effectiveness of the proposed approach.