The impact of a single input/output device on layout considerations in flexible manufacturing systems

1992 ◽  
Vol 30 (1) ◽  
pp. 89-93 ◽  
Author(s):  
ROBERT A. MILLEN ◽  
MARIUS M. SOLOMON ◽  
PANOS AFENTAKIST
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Input Output ◽  
Output Device ◽  
Single Input ◽  
The Impact

Intuitionistic fuzzy DEA/AR and its application to flexible manufacturing systems

2018 ◽  
Vol 52 (1) ◽  
pp. 241-257 ◽  
Author(s):  
Sanjeet Singh
Keyword(s):  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Fuzzy Data ◽  
Input Output ◽  
Output Data ◽  
Intuitionistic Fuzzy ◽  
Assurance Region ◽  
Fuzzy Input ◽  
Fuzzy Dea

The concept of assurance region (AR) was proposed in Data Envelopment Analysis (DEA) literature to restrict the ratio of any two weights within a given lower and upper bounds so as to overcome the difficulty of ignoring or relying too much on any of the input or output while calculating the efficiency. Further, AR approach was extended to handle fuzzy input/output data. But, available information is not always sufficient to define the impreciseness in the input/output data using classical fuzzy sets. Intuitionistic Fuzzy Set (IFS) is a generalized fuzzy set to characterize the impreciseness by taking into account degree of hesitation also. In this paper, intuitionistic fuzzy DEA/AR approach has been proposed to evaluate the efficiency where input/output data are represented as intuitionistic fuzzy. Based on the expected value approach, classical cross efficiency has also been generalized to rank the DMUs for the case of intuitionistic fuzzy data. To the best of my knowledge, this is the first attempt to propose assurance region approach (DEA/AR) in DEA with intuitionistic fuzzy input/output data. This approach is useful for the experts and decision makers when they are hesitant about defining the degree of membership/non-membership of fuzzy data. Results have been illustrated and validated using a case of flexible manufacturing systems (FMS).

scholarly journals Quality Evaluation in Flexible Manufacturing Systems: A Markovian Approach

2007 ◽  
Vol 2007 ◽  
pp. 1-24 ◽  
Author(s):  
Jingshan Li ◽  
Ningjian Huang
Keyword(s):  
Product Quality ◽  
Flexible Manufacturing ◽  
Flexible Manufacturing Systems ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Flexible Manufacturing System ◽  
Research Effort ◽  
Productivity Cost ◽  
Markovian Approach ◽  
The Impact

The flexible manufacturing system (FMS) has attracted substantial amount of research effort during the last twenty years. Most of the studies address the issues of flexibility, productivity, cost, and so forth. The impact of flexible lines on product quality is less studied. This paper intends to address this issue by applying a Markov model to evaluate quality performance of a flexible manufacturing system. Closed expressions to calculate good part probability are derived and discussions to maintain high product quality are carried out. An example of flexible fixture in machining system is provided to illustrate the applicability of the method. The results of this study suggest a possible approach to investigate the impact of flexibility on product quality and, finally, with extensions and enrichment of the model, may lead to provide production engineers and managers a better understanding of the quality implications and to summarize some general guidelines of operation management in flexible manufacturing systems.

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