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Multi-objective Production Planning for a Flexible Manufacturing System based on NSBBO Method

机译：基于NSBBO方法的灵活制造系统多目标生产规划

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The dramatic expansion in the global manufacturing market has created ademand for small and medium enterprise (SME) to apply the advancedmanufacturing technology (AMT). The flexible manufacturing system(FMS) is considered as a highly competitive manufacturing strategy toensure the success of the enterprises in the developing countries. Theimplementation of FMS, however, is an intractable task that requirescomplete integration of numerous components from various vendors. Thispaper presents a multi-objective production planning model for selectingthe most suitable combination of machines and operations in machiningprocesses to simultaneously minimize the system unbalance, makespan(MK) and total flow time. The proposed model considered the capacity ofmachines, tool magazines, batch sizes, processing time and the time takento transport machining parts. Moreover, it also considered the differentallocation of each part of batch into various machines. The principle ofbiogeography-based optimization (BBO) is adapted to explore thepossibilities of attaining feasible solutions for a formulated problem. Themost appropriate solutions in selecting the machine and operationallocation were determined based on non-dominated sorting BBOprocedure (NSBBO) and validated by FlexSim simulation environment. Theobtained results highlighted the practical applicability in theimplementation of FMS.
机译：全球制造市场的戏剧性扩张已为中小企业（中小企业）创造了Ademand，以应用先进的制造技术（AMT）。灵活的制造系统（FMS）被认为是竞争激烈的制造业战略，努力取得发展中国家企业的成功。然而，FMS的图像是一种难以处理的任务，需要从各种供应商的众多组件的集成。此纸纸介绍了一个多目标生产规划模型，用于选择机械处理中最合适的机器和操作组合，同时最小化系统不平衡，MENESPAN（MK）和总流量时间。所提出的模型考虑了机器，刀具杂志，批量尺寸，处理时间和时间Takento运输加工部件的能力。此外，它还认为批次中的每一部分分为各种机器。基于地理学的优化（BBO）的原理适于探讨获得制定问题的可行解决方案的假期。基于非主导的排序BBoProceduredure（NSBBO）确定选择机器和操作的适当解决方案，并由FlexSIM仿真环境验证。无论如何突出了FMS的模拟中的实际适用性。

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