Knowledge-based computer-aided design of materials handling systems

Gabbert, Paula; Brown, Donald E.

doi:10.1109/21.31025

Cited by 24 publications

(13 citation statements)

References 15 publications

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“…Several techniques have been developed for weight assignment, such as the simple assignment method (Hwang and Yoon 1981), the eigenvector method (Saaty 1988), the geometric least-square method (Islei and Lockett 1988), and the minimal information trade-off assessment (MITA) method speci c for engineering design (White et al 1984, Gabbert andBrown 1989). In this subsection, a few weight assignment techniques are reviewed to place them in the design decision-making context.…”

Section: Some Existing Methods For Preference Modellingmentioning

confidence: 99%

Communicating preferences in multiple-criteria decision-making: The role of the designer

Sen¹

2001

Journal of Engineering Design

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Design decisions, in general, involve the balancing of potentially con icting requirements as progress is made towards obtaining the most preferable design for a given application. Two important aspects of this procedure are: (i) the ability to create competing designs, and (ii) to arrange a preference ordering over the same designs. This paper deals with the latter of the two aspects to examine how alternative expressions of designer preference in uence methodological developments for the generation and ranking of candidate designs.

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Section: Some Existing Methods For Preference Modellingmentioning

confidence: 99%

Communicating preferences in multiple-criteria decision-making: The role of the designer

Sen¹

2001

Journal of Engineering Design

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“…A material handling system which is used to transport parts, WIPs, and products within machines or storehouses plays an important role in a manufacturing system (Gabbert andBrown 1998, Dongmin et al 2006). AGVs and RGVs which can load, unload, and transport materials automatically are the most often used facilities for material handling to save costs in a manufacturing system (Heragu 1997, Jawahar et al 1998, Malmborg 2003, Berman et al 2003, Wu and Zhou 2005.…”

Section: Materials Handling Systemmentioning

confidence: 98%

“…AGVs and RGVs which can load, unload, and transport materials automatically are the most often used facilities for material handling to save costs in a manufacturing system (Heragu 1997, Jawahar et al 1998, Malmborg 2003, Berman et al 2003, Wu and Zhou 2005. Gabbert and Brown (1998) pointed out that material handling and its relative overhead account for about 55% of product cost. Also, Asef-Vaziri et al (2008) mentioned that 20-50% of the total production costs are for material handling.…”

Section: Materials Handling Systemmentioning

confidence: 99%

A GA-based method to reduce material handling: the case of TFT-LCD array Fabs in Taiwan

Tseng

Chang

Chu

et al. 2011

International Journal of Production Research

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This study proposes a genetic algorithm (GA)-based Material Handling Strategy Function (MHSF) method to increase the productivity of a TFT-LCD array fabrication to improve the traditional FIFO method in TFT-LCD fabrication by the reduction of the material handling for a Rail Guided Vehicle (RGV), because costs of material handling count up to about 50% of production costs. In this article, the MHSF is provided to help material handling commands choice, where a novel GA approach is used to adapt the weights of affecting factors in the function. Finally, to evaluate the performance of the proposed method, experiments using the data from a major TFT-LCD manufacturing plant in Taiwan have been carried out, and the results indicate that it can indeed reduce fabrication time and increase productivity.

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“…This is seen to be fair in that it does not discriminate between criteria and may be justified by an appeal to the principle of entropy maximisation. This approach was originally proposed for the evaluation of probabilities 11 but is also employed in the solution of multiattribute problems 12,13,14,15 .…”

Section: Being Noncommitalmentioning

confidence: 99%

Prioritisation of an IT budget within a local authority

Jessop

2002

J Oper Res Soc

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The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that:• a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders. PRIORITISATION OF AN IT BUDGET WITHIN A LOCAL AUTHORITY AbstractThis paper describes the prioritisation of an IT budget within a department of a local authority. The decision problem is cast as a simple multiattribute evaluation but from two perspectives. First, as an exercise in group decision making. Here the emphasis is on a shared process wherein the object is to obtain consensus. The use of an explicit evaluation framework and the ability to interact with the evaluation data in real time via a simple spreadsheet model were found to improve the decision making. Second, the prioritisation is made analytically. The motivation is to determine the degree to which the rankings are the result of the structural characteristics of the projects themselves rather than of the differences in importance attached to the achievement of the goals represented by the project attributes. Three methods are used: Monte Carlo simulation of ranks, cluster analysis based on attributes and an approach based on entropy maximisation. It is found that in the case studied the structure inherent in the data is high and so the results of the analyses are robust. Finally, a procedure is suggested for the appropriate use of these analyses via a facilitator to aid prioritisation decisions.

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Knowledge-based computer-aided design of materials handling systems

Cited by 24 publications

References 15 publications

Communicating preferences in multiple-criteria decision-making: The role of the designer

Communicating preferences in multiple-criteria decision-making: The role of the designer

A GA-based method to reduce material handling: the case of TFT-LCD array Fabs in Taiwan

Prioritisation of an IT budget within a local authority

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