An approach to the measurement of single-machine flexibility

Chang, An-Yuan; Whitehouse, David; Chang, Sheng-Lin; Hsieh, Yi-Chih

doi:10.1080/00207540010023024

Cited by 56 publications

(26 citation statements)

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“…The corresponding matrix of the fuzzy output units per hour is as shown in table 1. Note that 1 = α cut value represents the crisp output as provided in [27]. For each operation, the machine which has the highest rate of production is indicated on the same table.…”

Section: Simulation and Resultsmentioning

confidence: 99%

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Modeling and evaluation of single machine flexibility using fuzzy entropy and genetic algorithm based approach

Bentrcia

Mouss

et al. 2011

Etfa2011

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Section: Simulation and Resultsmentioning

confidence: 99%

“…The revised entropy approach obtained by incorporating the efficiency element into the model seems to reflect better the description of the manufacturing flexibility. The revised entropy formula is given by [27]:…”

Section: Entropy As a Measurement Criterionmentioning

confidence: 99%

Modeling and evaluation of single machine flexibility using fuzzy entropy and genetic algorithm based approach

Bentrcia

Mouss

et al. 2011

Etfa2011

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“…Recently, Chang et al (2001) argued that a comprehensive model for the measurement of routing flexibility should consider, at least, two important attributes of a manufacturing system: the efficiency E and the versatility V (i.e. the numerousness) of its routes.…”

Section: Routing Flexibilitymentioning

confidence: 99%

“…In analogy with the approach proposed by Chang (2001Chang ( , 2007, the information concerning the efficiency and the range of the routes can be aggregated into a single metric called job routing versatility JRV p . To this aim, for each part type we introduce two vectors, namely the efficiency vector E p and the range vector R p , both of dimension (TR -1).…”

Section: Job Routing Versatilitymentioning

confidence: 99%

A measurement method of routing flexibility in manufacturing systems

Zammori¹,

Braglia²,

Frosolini³

2011

IJIEC

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This paper focuses on routing flexibility, which is the ability to manufacture a part type via several routes and/or to perform different operations on more than one machine. Specifically, the paper presents a comprehensive method for the measurement of routing flexibility, in a generic manufacturing system. The problem is approached in a modular way, starting from a basic set of flexibility indexes. These are progressively extended to include more comprehensive and complex routing attributes, such as: the average efficiency, the range and the homogeneous distribution of the alternative routes. Two procedures are finally proposed to compare manufacturing systems in terms of routing flexibility. The first one uses a vectorial representation of the previously defined indexes and the second one is based on data envelopment analysis, a multi-criteria decision making approach. The paper concludes with a numerical example, supported by discrete event simulation, which validates the proposed approach.

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“…Kumar (1987) used the entropy concept of thermodynamics that provides similarities to flexibility measures; the entropy concept has been recently revised by Chang et al (2001). Alternatively Brill and Mandelbaum (1989) suggested that flexibility can be estimated relatively to a reference task set and Gupta (1993) employed financial analysis.…”

Section: Introductionmentioning

confidence: 99%