改进ABC分类管理法的助航灯光备件管理
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摘要
针对助航灯光备件在进行管理时,需要考虑其消耗过程中存在的突发性损伤更换、定期寿命更换以及特殊情况实时调节更换等特点,提出一种改进的ABC分类管理方法。进行快速流动备件、慢速流动备件以及不流动备件的分类;鉴于ABC分类管理的原理,将AHP与SE-DEA相结合,通过灰色关联度计算进行排序分类;通过实例分析,将关联度前20%、中30%和后50%的备件分类为A、B、C三类。相比于只考虑单因素的传统ABC分类法以及考虑权重不足的AHP-ABC分类法,该方法的分类结果更具全面性以及合理性。因此,将其运用于助航灯光备件分类,有助于实现科学的管理。
In the management of navigational lightning aid spare parts, it is necessary to consider the characteristics of sudden damage replacement, periodic replacement and real time adjustment and replacement in the process of consumption. Thus, we proposed an improved ABC classification management method. The fast flow spare parts, the slow flow spare parts and the no-flow spare parts were classified. In view of the principle of ABC classification management, the grey correlation degree calculation was used for sorting and classification, with the combined application of AHP and SE-DEA. After instance analysis, the first 20%, next 30% and the last 50% of correlation degree were classified as A,B and C. Compared with the traditional ABC classification considering single factor and the AHP-ABC classification with insufficient weight, the classification result of this method is more comprehensive and reasonable. Therefore, applying the proposed method in the navigational lighting aid spare parts classification contributes to realize scientific management.
In the management of navigational lightning aid spare parts, it is necessary to consider the characteristics of sudden damage replacement, periodic replacement and real time adjustment and replacement in the process of consumption. Thus, we proposed an improved ABC classification management method. The fast flow spare parts, the slow flow spare parts and the no-flow spare parts were classified. In view of the principle of ABC classification management, the grey correlation degree calculation was used for sorting and classification, with the combined application of AHP and SE-DEA. After instance analysis, the first 20%, next 30% and the last 50% of correlation degree were classified as A,B and C. Compared with the traditional ABC classification considering single factor and the AHP-ABC classification with insufficient weight, the classification result of this method is more comprehensive and reasonable. Therefore, applying the proposed method in the navigational lighting aid spare parts classification contributes to realize scientific management.
引文
[1] 雷晓萍,苏新,宗海滨,等.民用机场助航灯光备件库存控制与管理研究[J].中国民航大学学报,2010,28(3):25-28.
[2] 陈丽.机场助航灯光管理系统研究与开发[D].上海:同济大学,2009.
[3] Marks A,Rietsema K,Alali M.Airport Information Systems—Landside Management Information Systems [J].Intelligent Information Management,2015,6(3):149-156.
[4] 吴金奇.分销系统中多供应商多零售商的分层优化与双混合协同补货策略[D].重庆:重庆大学,2012.
[5] 徐向宇,李乃梁,王晶,等.AHP-DEA的备件ABC分类法[J].机械设计与制造,2016(8):269-272.
[6] 郭智敏,严洪森,陈施华,等.备件库存控制方法研究[J].计算机集成制造系统,2003,9(11):1028-1032.
[7] Jin X F.Research on Spare Parts ABC Classification Based on VED[J].Logistics Technology,2008,27(12):86-88.
[8] Xiong J X,Xia F C,Hai-Ning T U.Spare parts ABC classification model based on BP neural network[J].Machinery Design & Manufacture,2008(2):215-217.
[9] Cui N F,Luo X.ABC Classfication Based on AHP in Servicing Spare Part[J].Industrial Engineering & Management,2004,9(6):33-36.
[10] Cui N F,Jia-Jing L U.ABC Classification Model for Spare Parts Based on DEA[J].Logistics Technology,2007(3):55-58.
[11] 丁留明,崔南方,李晋.考虑设备关键性的备件库存ABC分类两阶段改进模型研究[J].物流技术,2006(12):41-44.
[12] 赵振峰,张清学.生产企业备件库存ABC分类模型的改进研究[J].区域经济评论,2004(4):64-65.
[13] Pang K W,Chan H L.Data mining-based algorithm for storage location assignment in a randomised warehouse [J].International Journal of Production Research,2016,55(14):4035-4052.
[14] 王亚彬,赵建民,程中华,等.基于改进MOPSO的多级系统备件配置优化研究[J].系统工程与电子技术,2015,37(7):1581-1586.
[15] Anton M L R,Ai T J,Diar Astanti R.A Clustering Classification of Spare Parts for Improving Inventory Policies [C]//2nd International Manufacturing Engineering Conference and 3rd Asia-Pacific Conference on Manufacturing Systems(iMEC-APCOMS 2015)12-14 November 2015,Kuala Lumpur,Malaysia.2016,114.
[2] 陈丽.机场助航灯光管理系统研究与开发[D].上海:同济大学,2009.
[3] Marks A,Rietsema K,Alali M.Airport Information Systems—Landside Management Information Systems [J].Intelligent Information Management,2015,6(3):149-156.
[4] 吴金奇.分销系统中多供应商多零售商的分层优化与双混合协同补货策略[D].重庆:重庆大学,2012.
[5] 徐向宇,李乃梁,王晶,等.AHP-DEA的备件ABC分类法[J].机械设计与制造,2016(8):269-272.
[6] 郭智敏,严洪森,陈施华,等.备件库存控制方法研究[J].计算机集成制造系统,2003,9(11):1028-1032.
[7] Jin X F.Research on Spare Parts ABC Classification Based on VED[J].Logistics Technology,2008,27(12):86-88.
[8] Xiong J X,Xia F C,Hai-Ning T U.Spare parts ABC classification model based on BP neural network[J].Machinery Design & Manufacture,2008(2):215-217.
[9] Cui N F,Luo X.ABC Classfication Based on AHP in Servicing Spare Part[J].Industrial Engineering & Management,2004,9(6):33-36.
[10] Cui N F,Jia-Jing L U.ABC Classification Model for Spare Parts Based on DEA[J].Logistics Technology,2007(3):55-58.
[11] 丁留明,崔南方,李晋.考虑设备关键性的备件库存ABC分类两阶段改进模型研究[J].物流技术,2006(12):41-44.
[12] 赵振峰,张清学.生产企业备件库存ABC分类模型的改进研究[J].区域经济评论,2004(4):64-65.
[13] Pang K W,Chan H L.Data mining-based algorithm for storage location assignment in a randomised warehouse [J].International Journal of Production Research,2016,55(14):4035-4052.
[14] 王亚彬,赵建民,程中华,等.基于改进MOPSO的多级系统备件配置优化研究[J].系统工程与电子技术,2015,37(7):1581-1586.
[15] Anton M L R,Ai T J,Diar Astanti R.A Clustering Classification of Spare Parts for Improving Inventory Policies [C]//2nd International Manufacturing Engineering Conference and 3rd Asia-Pacific Conference on Manufacturing Systems(iMEC-APCOMS 2015)12-14 November 2015,Kuala Lumpur,Malaysia.2016,114.