Abstract
This paper addresses a coordinated optimization problem of production and delivery operations in apparel supply chains. A fleet of heterogeneous vehicles are used to deliver the accessories produced on parallel machines to a number of apparel production plants. We consider the flexible vehicle departure time between the production and distribution. A novel hybrid intelligent solution framework is proposed to solve this problem, by decomposition the optimum-seeking process is simplified and the computational complexity is reduced. The effectiveness of proposed framework is evaluated by numerical experiments. Experimental results show that the proposed solution framework exhibits better optimization performance in terms of the solution quality and computational time than other state-of-the-art algorithms.
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Guo, Z., Chen, J., Ou, G., Liu, H. (2019). Coordinated Optimization of Production and Delivery Operations in Apparel Supply Chains Using a Hybrid Intelligent Algorithm. In: Wong, W. (eds) Artificial Intelligence on Fashion and Textiles. AITA 2018. Advances in Intelligent Systems and Computing, vol 849. Springer, Cham. https://doi.org/10.1007/978-3-319-99695-0_2
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DOI: https://doi.org/10.1007/978-3-319-99695-0_2
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