Performance evaluation for a footwear manufacturing system with multiple production lines and different station failure rates

This paper focuses on performance evaluation of a manufacturing system from the network analysis perspective. Due to failure, partial failure, or maintenance, the capacity of each machine is stochastic (i.e., multistate). Hence, a manufacturing system can be constructed as a stochastic-flow network, named manufacturing network herein. Considering reworking action and failure rates of machines, this paper assesses the probability that the manufacturing network can satisfy demand. Such a probability is defined as the system reliability. First, a graphical technique is proposed to decompose the manufacturing network into one general processing path and one reworking path. Subsequently, two algorithms are utilized for different network models to generate the minimal capacity vector of machines that guarantee that the manufacturing network is able to produce sufficient products fulfilling the demand. The system reliability of the manufacturing network is derived in terms of such a capacity vector afterward.

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Dynamic Modeling Method of Mission Reliability of a Multi-State Manufacturing System With Multiple Production Lines

IEEE Access ◽

10.1109/access.2020.2981292 ◽

2020 ◽

Vol 8 ◽

pp. 57012-57023

Author(s):

Yijing Zhang ◽

Changchao Gu ◽

Jing Wang ◽

Leigang Zhang ◽

Xiao Hu ◽

...

Keyword(s):

Dynamic Modeling ◽

Manufacturing System ◽

Modeling Method ◽

Production Lines ◽

Multiple Production

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Performance Evaluation of Hybrid Production Lines with Multiple Stochastic Failure Modes and Unreliable Limited Buffers

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.58-60.410 ◽

2011 ◽

Vol 58-60 ◽

pp. 410-416 ◽

Cited By ~ 2

Author(s):

Jun Liu ◽

Zhi Yuan Rui ◽

Rui Cheng Feng ◽

Chun Li Lei

Keyword(s):

Performance Evaluation ◽

Manufacturing System ◽

Failure Modes ◽

Solution Technique ◽

Production Lines ◽

Hybrid Production ◽

System A ◽

Limited Buffers ◽

Stochastic Events ◽

Two Machines

A hybrid manufacturing system which consists of two machines is examined. Unreliable buffers and multiple stochastic failure modes of the machines are introduced to the system. A new method of the system performance evaluation is presented. The states of the system are analyzed in detail based on a discrete model and a new solution technique is given to determine the state probabilities. The method can be used to analyze the cases arising from two or more stochastic events or longer (or more complex)production lines. Numerical results are also offered to testify the method and show some characteristics of the system.

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Fixture Reusability and Reconfigurability Analysis Using Similarity Index

10.1115/imece2000-1791 ◽

2000 ◽

Author(s):

Arlene G. Smithson ◽

Zhenyu Kong ◽

Dariusz Ceglarek

Keyword(s):

Manufacturing System ◽

Formal Method ◽

Similarity Index ◽

New Product ◽

Fixture Design ◽

Production Lines ◽

Product Lines ◽

Future Production ◽

Manufacturing System Design ◽

And Performance

Abstract Currently there is a lack of a formal method to utilize previous fixture information into the design of future product and production lines. The utilization of knowledge gained in the design of prior fixtures and the capability assessment of existing reconfigurable fixtures on the design of new product lines allow manufacturing system design for time and cost reductions. This paper presents the evaluation of a fixture design similarity index developed to assess the relevance of current fixtures design information for multi-model production (reconfigurability) or for future production lines design (reusability). The index developed decomposes N-2-1 fixture information into X, Y, and Z data with applicable constrains and part deflection requirements in the X, Y, and Z directions. This allows the evaluation and comparison of physical and performance attributes of any given fixture. An example demonstrating the methodology implementation to single fixture case analysis and conclusions are provided as part of the presentation.

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System Reliability Estimation for a Manufacturing Network with Joint Buffers

International Journal of Reliability Quality and Safety Engineering ◽

10.1142/s0218539318500201 ◽

2018 ◽

Vol 25 (04) ◽

pp. 1850020 ◽

Cited By ~ 2

Author(s):

Ping-Chen Chang ◽

Chia-Chun Wu ◽

Chin-Tan Lee

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

System Reliability ◽

Manufacturing System ◽

Reliability Estimation ◽

Experimental Result ◽

Production Lines ◽

Work In Process ◽

Process Output ◽

Manufacturing Network

This paper develops a Monte Carlo Simulation (MCS) approach to estimate the performance of a multistate manufacturing network (MMN) with joint buffers. In the MMN, products are allowed to be produced by two production lines with the same function to satisfy demand. A performance index, system reliability, is applied to estimate the probability that all workstations provide sufficient capacity to satisfy a specified demand and buffers possess adequate storage. The joint buffers with finite storage are considered in the MMN. That is, extra work-in-process output from different production lines can be stored in the same buffer. An MCS algorithm is proposed to generate the capacity state and to check the storage usage of buffers to evaluate whether the demand can be satisfied or not. System reliability of the MMN is estimated through this MCS algorithm. Besides, performability for demand pairs assigned to production lines can be obtained. A practical example of touch panel manufacturing system is used to demonstrate the applicability of the MCS approach. Experimental result shows that system reliability is overestimated when buffer storage is assumed to be infinite. Moreover, joint buffer for an MMN is more reliable than buffers are installed separately in different production lines.

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