A comment on “A comment on ‘A fuzzy DEA/AR approach to the selection of flexible manufacturing systems”’ and “A fuzzy DEA/AR approach to the selection of flexible manufacturing systems”

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).

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Evaluation and selection of flexible manufacturing systems using MACBETH method

International Journal of Services and Operations Management ◽

10.1504/ijsom.2013.055576 ◽

2013 ◽

Vol 16 (1) ◽

pp. 123 ◽

Cited By ~ 2

Author(s):

Prasad Karande ◽

Shankar Chakraborty

Keyword(s):

Flexible Manufacturing ◽

Flexible Manufacturing Systems ◽

Manufacturing Systems ◽

Selection Of

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Development of analytic network process for the selection of material handling systems in the design of flexible manufacturing systems (FMS)

Journal of Advances in Management Research ◽

10.1108/09727981111129336 ◽

2011 ◽

Vol 8 (1) ◽

pp. 123-147 ◽

Cited By ~ 8

Author(s):

G. Anand ◽

Rambabu Kodali ◽

B. Santosh Kumar

Keyword(s):

Flexible Manufacturing ◽

Flexible Manufacturing Systems ◽

Manufacturing Systems ◽

Material Handling ◽

Analytic Network Process ◽

Material Handling Systems ◽

Network Process ◽

Selection Of

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Methods of Planning, Running and Optimization of Material Flow in the Laboratory of Flexible Manufacturing Systems with Robotized Manipulation Supported by No Drawing Production

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.220-223.925 ◽

2012 ◽

Vol 220-223 ◽

pp. 925-928

Author(s):

Silvia Sebenova ◽

Katarina Krajcova ◽

Frantisek Pechacek

Keyword(s):

Flexible Manufacturing ◽

Material Flow ◽

Flexible Manufacturing Systems ◽

Manufacturing Systems ◽

Production Costs ◽

Just In Time ◽

Selection Of

This paper is focused on the methods, which are used for planning, running and optimization of material flow. These methods are very important element of each production and company. There are several methods which are used, for example JIT (Just in Time), Kanban, TOC (Theorie of Constraints), etc. A selection of appropriate method affects largely production costs, efficiency and produced quantity. For the laboratory of flexible manufacturing systems with robotized manipulation supported by no drawing production were compared several methods and on the based their advantages, disadvantages and suitability of use was selected the most appropriate method of planning, running and optimization of material flow.

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