A multi-attribute selection of automated guided vehicle using the AHP/M-GRA technique

Maniya, Kalpesh D.; Bhatt, M. G.

doi:10.1080/00207543.2010.518988

Cited by 46 publications

(20 citation statements)

References 21 publications

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“…An AGV selection index was proposed to evaluate and rank the considered alternatives. Maniya and Bhatt [10] used AHP to assign the relative importance between different AGV selection criteria and then applied modi�ed grey relational analysis (M-GRA) method to determine the corresponding index values for AGV selection.…”

Section: Literature Reviewmentioning

confidence: 99%

Material Handling Equipment Selection Using Weighted Utility Additive Theory

Karande

Chakraborty

2013

Journal of Industrial Engineering

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�etter utilization of manpower, providing product �exibility, increasing productivity, decreasing lead time, reduction in handling cost, increased efficiency of material �ow, and enhancement of production process are some of the most important issues in�uencing material handling (MH) equipment selection decision. As a wide variety of MH equipment is available today, selection of the proper equipment for a designed manufacturing system is a complicated task. Selection of suitable MH equipment for a typical handling environment is found to be a multicriteria decision-making (MCDM) problem. As the selection process is found to be unstructured, characterized by domain dependent knowledge, there is a need to apply an efficient MCDM tool to select the most suitable MH equipment for the given application. is paper applies weighted utility additive (WUTA) method to solve an MH equipment selection problem. e ranking obtained using the WUTA method is compared with that derived by the past researchers which proves its potentiality, applicability, and accuracy to solve complex decision-making problems.

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Section: Literature Reviewmentioning

confidence: 99%

Material Handling Equipment Selection Using Weighted Utility Additive Theory

Karande

Chakraborty

2013

Journal of Industrial Engineering

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“…The converted quantitative values lie between the same upper and lower values, so normalization of this decision matrix was not required. The criteria weights was calculated by Maniya and Bhatt (2011) using AHP method.…”

Section: Examplementioning

confidence: 99%

Comparison of new multi-criteria decision making methods for material handling equipment selection

Mathew¹,

Sahu²

2018

10.5267/j.msl

104

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Conveyors and automated guided vehicles (AGVs) are important mechanical handling equipment used to transport loads from one place to another. Selection of proper material handling equipment is an intricate process. In the present paper two material handling equipment selection problem was solved using various newly developed multi criteria decision making (MCDM) methods. First a conveyor selection problem with six conflicting criteria and four alternatives was solved using four MCDM methods, i.e. combinative distance based assessment (CODAS) method, evaluation based on distance from average solution (EDAS) method, weighted aggregated sum product assessment (WASPAS) method and multi-objective optimization on the basis of ratio analysis (MOORA) method. Second an automated guided vehicles selection problem with six conflicting criteria and eight alternatives was solved using CODAS, EDAS, WASPAS and MOORA methods. Spearman rank correlation coefficient was calculated between the ranks obtained by various methods. The ranks obtained by these methods were even compared with the ranks of other MCDM methods and it was found that the relatively new methods CODAS, EDAS and WASPAS were in good agreement with each other.

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“…This is a multi-criteria decision-making problem and they used Weighted UTility Additive (WUTA) method to solve an MHE selection problem. Maniya & Bhatt, (2011) are developed the new methodology for selection AGVs. They have proposed the Modified Grey Relational Analysis (M-GRA) method and Analytical Hierarchy Process (AHP).…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Rough Range of Value Method (R-ROV) for Selecting Automatically Guided Vehicles (AGVs)

Zavadskas¹,

Nunić²,

Stjepanović³

et al. 2018

STUD INFORM CONTROL

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Material Handling Equipment is a set of different tools, devices, applications that aim to facilitate the handling of materials and products. It is used inside the warehouse, but also between warehouses and production facilities. As an important type of material handling equipment, automatically guided vehicles (AGVs) play one of the key roles in warehouse automation. The benefits of applying the AGVs in the warehouse automation process include: reducing labor costs, increasing reliability and productivity, reducing the damage of goods, safety improving, managing and controlling the complete system, etc. In this paper, a Novel Rough Range of Value Method (R-ROV) for evaluating and selecting AGVs in the warehouse has been developed, which is one of the main contributions. In addition, the Full Consistency Method (FUCOM) was used to determine the weight values of the criteria. The model was formed through nine AGVs and 7 criteria. In the framework of checking the stability of the obtained results and the developed model, the comparison was performed using: Rough WASPAS (Weighted Aggregated Sum Product ASsessment), Rough SAW (Simple Additive Weighting) and Rough MABAC (Multi-Attributive Border Approximation area Comparison). Sensitivity analysis showed high correlation of ranks with all the applied methods by employing the Spearman's Correlation Coefficient (SCC).

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A multi-attribute selection of automated guided vehicle using the AHP/M-GRA technique

Cited by 46 publications

References 21 publications

Material Handling Equipment Selection Using Weighted Utility Additive Theory

Material Handling Equipment Selection Using Weighted Utility Additive Theory

Comparison of new multi-criteria decision making methods for material handling equipment selection

A Novel Rough Range of Value Method (R-ROV) for Selecting Automatically Guided Vehicles (AGVs)

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