Abstract
In the past decade years, much attention has been attached on assembly process reliability in manufacturing system, because the quality and cost of product are highly determined by assembly process. However, existing research on reliability in assembly are mainly focused on study of size deviation propagation. In this paper, the method for risk evaluation in assembly process based on the discrete-time SIRS epidemic model and information entropy was proposed. Firstly, aiming at the issue of assembly process optimization, innovative solutions are proposed from the perspectives of reliability and cost by decomposing the assembly into general path and rework path. Secondly, the propagation mechanism of defects in optimal assembly approach were studied through combining the infectious disease model and information entropy. According to the bifurcation phenomenon in the SIRS model, the entropy increment of assembly process when defect emergence occurs is calculated. Thirdly, the information entropy increment of optimal assembly approach is used to evaluate the assembly risk by comparing with the . Finally, a case study of assembly risk evaluation for the oil pump was presented to verify the advantage of this method.
Highlights
With the development of manufacturing industry and increasing customer’s demand, manufacturers are facing the challenge of improving the reliability and diversity of products [1,2].Assembly process is one of the most important parts during the manufacturing cycle and the quality of products is highly influenced by the assembly process due to the complexity in assembly manufacturing system [3,4]
A novel quantitative evaluation method for theinemergence of defects the shown in Equation
+ 215.848 The i =1 I inputi that assembly system can meet the order’s requirement
Summary
With the development of manufacturing industry and increasing customer’s demand, manufacturers are facing the challenge of improving the reliability and diversity of products [1,2]. Many scholars have done considerable work on assembly system Kusiak and He [10] put forward the concept of agile assembly, and gave three rules applicable to support the design of products. To meet the changing customers’ demands, the problem for reconfiguring flexible assembly line systems. Demands, reconfiguring flexible assembly was solved application of motion genes the [12].problem. Proposed approach for product module selection and assembly line design/reconfiguration problems. The quality an approach forquantify productnoncomparable module selection assembly line design/reconfiguration lossintegrated functions were used to and and possibly conflicting performance criteria in problems. Proposed bee colony algorithm for simultaneous sequencing and balancing of mixed model assembly line to the multi-objective artificial bee colony algorithm for simultaneous sequencing and balancing of overcome these problems.
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