Fixture Reusability and Reconfigurability Analysis Using Similarity Index

2000 ◽  
Author(s):  
Arlene G. Smithson ◽  
Zhenyu Kong ◽  
Dariusz Ceglarek

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.

2013 ◽  
Vol 765-767 ◽  
pp. 163-166
Author(s):  
Ping Han ◽  
Li Li Ma ◽  
Nai Wei Zou

Complexity level is one of the factors that affect manufacturing system design and control, so study on complexity quantification is gaining more attention. A method that combined information entropy and system structure factor is introduced to measure the complexity of transmission case production line. The method can realize structural complexity comparison among various production lines that provide reference for manufacturing system design, and in practice systems designed with lower complexity level are controlled and managed more easily and accurately.


2015 ◽  
Vol 799-800 ◽  
pp. 1410-1416
Author(s):  
Guanghsu A. Chang ◽  
William R. Peterson

Increasing global competition, shrinking product life cycles, and increasing product mix are defining a new manufacturing environment in world markets. This paper presents a case problem using Taguchi Method to find optimum design parameters for a Flexible Manufacturing System (FMS). A L8 array, signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to study performance characteristics of selected manufacturing system design parameters (e.g. layout, AGVs, buffers, and routings) with consideration of product mix demand. Various design and performance parameters are evaluated and compared for the original and the improved FMS. The results obtained by this method may be useful to other researchers for similar types of applications.


2017 ◽  
Vol 21 (02) ◽  
pp. 1750011 ◽  
Author(s):  
KAI HOLZWEISSIG ◽  
JONAS RUNDQUIST

Formal new product development (NPD) processes have become an important tool in NPD management. However, our understanding of what makes formal NPD process implementation successful in terms of acceptance and performance is still limited. This paper contributes to an improved understanding of factors affecting the acceptance and use of formal NPD processes. Our results show that acceptance of formal NPD processes is determined by several factors, such as ease of use, transparency of discourse, continuous improvement, involvement of NPD actors, and the ability to bridge differences in thinking. Furthermore, that acceptance of formal NPD processes affects NPD performance positively. These results draw on data from a survey posted to employees working for nine large manufacturers of commercial vehicles worldwide. The results should encourage managers to consider and enhance the factors affecting acceptance. This could be done through using new media for publication to increase transparency and perceived ease of use of the NPD process. Further acceptance of the formal NPD process is increased if it mirrors an operative reality and if organisational structures for improvement of the process are implemented and inclusive to employees involved in NPD.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajesh Pansare ◽  
Gunjan Yadav ◽  
Madhukar R. Nagare

Purpose Uncertainties in manufacturing and changing customer demands force manufacturing industries to adopt new strategies, such as the reconfigurable manufacturing system (RMS). To improve the implementation and performance of RMS, it is necessary to review the available literature and identify future trends in this field. This paper aims to analyze existing literature and to see trends in RMS-related research. Design/methodology/approach The systematic literature review and analysis of RMS-related research papers from 1999 to 2020 is carried out in this literature. The selected studies are analyzed based on the year of publication, journals, publishers, active authors, research design, countries, enablers, barriers, performance evaluation parameters and universities. Findings After the analysis of selected RMS-related research papers, the top countries, universities, journals, publishers and authors are identified in this domain. Research themes and trends in research are identified in this study. Besides, it has been noted that there is a need for further research in this domain and for the creation of a generalized framework that can guide researchers and practitioners to increase RMS adoption. Practical implications Research insights, guidance and observations from this paper are provided to RMS-related researchers and practitioners. Important research gaps are identified in this study, which can provide direction for future research and trends in RMS research. Originality/value The study presented focuses mainly on the method of collecting, organizing, capturing, interpreting and analyzing data to provide more insight into RMS to identify future trends in research.


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