An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning
المؤلفون المشاركون
Rodríguez-Padial, Néstor
Marín, Marta
Domingo, Rosario
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-10-12
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
The uncertainty of demand has led production systems to become increasingly complex; this can affect the availability of the machines and thus their maintenance.
Therefore, it is necessary to adequately manage the information that facilitates decision-making.
This paper presents a system for making decisions related to the design of customized maintenance plans in a production plant.
This paper addresses this tactical goal and aims to provide greater knowledge and better predictions by projecting reliable behavior in the medium-term, integrating this new functionality into classic Balance Scorecards, and making it possible to extend their current measuring function to a new aptitude: predicting evolution based on historical data.
In the proposed Custom Balance Scorecard design, an exploratory data phase is integrated with another analysis and prediction phase using Principal Component Analysis algorithms and Machine Learning that uses Artificial Neural Network algorithms.
This new extension allows better control over the maintenance function of an industrial plant in the medium-term with a yearly horizon taken over monthly intervals which allows the measurement of the indicators of strategic productive areas and the discovery of hidden behavior patterns in work orders.
In addition, this extension enables the prediction of indicator outcomes such as overall equipment efficiency and mean time to failure.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Rodríguez-Padial, Néstor& Marín, Marta& Domingo, Rosario. 2017. An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning. Complexity،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1142763
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Rodríguez-Padial, Néstor…[et al.]. An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning. Complexity No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1142763
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Rodríguez-Padial, Néstor& Marín, Marta& Domingo, Rosario. An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning. Complexity. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1142763
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1142763
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر