Dynamic trip point categorisation using manufacturing process for polycrystalline diamond compact bits as case study

作     者：Zubair Ahmad Khan Khalid Khan Shuja Ahmad Khan Shahbaz Khan Muhammad Tufail Abdel Nasser 

作者机构：Mechatronics DepartmentUniversity of Engineering and Technology PeshawarPeshawarPakistan Materials for Energy Storage and ConversionUS Pakistan Centre for Advanced Studies in Energy University of Engineering and Technology PeshawarPeshawarPakistan Bakar HughesHoustonGermany JacobsDallasTXUSA 

出 版 物：《Journal of Control and Decision》 (控制与决策学报（英文）)

年 卷 期：2022年第9卷第3期

页      面：311-321页

核心收录：

学科分类：0820[工学-石油与天然气工程] 0810[工学-信息与通信工程] 1205[管理学-图书情报与档案管理] 08[工学] 0839[工学-网络空间安全] 0802[工学-机械工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Disruptions dynamic assessment downtime alarm tripoints 

摘      要：Disruptions in the manufacturing process cast substantial impacts on the consumer’s centric values,cost,and overall efficiency.The ripple effect of these disruptions is observed in the whole assembly line.The proper analysis and mitigation of disruptions is the key to the proficiency of the plant and resource utilisation.The research focuses on the quantitative analysis of the impact of disruptions of the manufacturing process,which is performed by analysing the disruptive workstation dynamically.The disruptive workstations have a significant impact on succeeding and preceding workstations,which have been analysed dynamically,and accordingly,the preset alarm trip points are elevated.The results show that lowering the number of starts and stops decreases the number of rejections of valuable process batches that finally improve efficiency.Finally,the developed model is implemented on a polycrystalline diamond compact drill bit manufacturing plant.The results are compared with the research work of other researchers,showing a 60%reduction in the number of start/stop events,60%reduction in downtime,while a 75%reduction in the number of rejections is noted.