A heuristic algorithm for integrated production and transportation scheduling with multiple transportation modes

Autor:	Jing Yang, Zhaoxia Guo, Longchao Chen
Rok vydání:	2015
Předmět:	Rate-monotonic scheduling Mathematical optimization Job shop scheduling Computer science Genetic algorithm scheduling Two-level scheduling Scheduling (production processes) Flow shop scheduling Dynamic priority scheduling Fair-share scheduling
Zdroj:	2015 12th International Conference on Service Systems and Service Management (ICSSSM).
DOI:	10.1109/icsssm.2015.7170221
Popis:	This paper addressed an integrated production and transportation scheduling problem in a global MTO supply chain environment with single manufacturer, multiple customers and multiple transportation modes. A mixed integer nonlinear programming model is established. A heuristic algorithm based on forward scheduling is proposed to handle the model. Based on real industrial data, the performance of the heuristic algorithm is compared with the performances generated by 3 methods including genetic algorithm. The comparison results show that the performance of the proposed algorithms is better than the 3 methods.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::78ae8769f74590c154ad5f50e30a6bc1 https://doi.org/10.1109/icsssm.2015.7170221 Zobrazit plný text záznamu