Dariusz Ceglarek

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Variation propagation in a multi-station manufacturing process (MMP) is described by the theory of ‘‘Stream of Variation.’’ Given that the measurements are obtained via certain sensor distribution scheme, the problem of whether the stream of variation of an MMP is diagnosable is of great interest to both academia and industry. We present a comprehensive(More)
This two-part paper focuses on the modeling and diagnosis of multistage manufacturing processes. Part I develops a state space model characterizing variation propagation in a multistage process. The state space model describes a discrete-time LTV (Linear Time Varying) stochastic system, which strongly indicates that the existing system and control theory(More)
This paper presents a methodology for diagnostics of fixture failures in multistage manufacturing processes (MMP). The diagnostic methodology is based on the state-space model of the MMP process, which includes part fixturing layout geometry and sensor location. The state space model of the MMP characterizes the propagation of fixture fault variation along(More)
This paper considers the problem of evaluating and benchmarking process design configuration in a multi-station assembly process. We focus on the unique challenges brought by the multi-station system, namely, (1) a system level model to characterize the variation propagation in the entire process, and (2) the necessity to describe the system response to(More)
Products made of compliant sheet metals are widely used in automotive, aerospace, appliance and electronics industries. One of the most important challenges for the assembly process with compliant parts is dimensional quality, which affects product functionality and performance. This paper develops a methodology to evaluate the dimensional variation(More)
This paper presents a methodology for optimal allocation of sensors in a multistation assembly process for the purpose of diagnosing in a timely manner variation sources that are responsible for product quality defects. A sensor system distributed in such a way can help manufacturers improve product quality while, at the same time, reducing process(More)
WENZHEN HUANG1,∗, TIRAWAT PHOOMBOPLAB2,3 and DARIUSZ CEGLAREK2,3 1Department of Mechanical Engineering, University of Massachusetts, Dartmouth, MA 02747, USA E-mail: whuang@umassd.edu 2Department of Industrial and Systems Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA 3International Digital Laboratory, WMG, University of Warwick,(More)