ADVISOR: A computer-aided material handling equipment selection system

Chu, Horng-Lun; Egbelu, Pius J.; Wu, Chung-Te

doi:10.1080/00207549508904876

Cited by 33 publications

(31 citation statements)

References 3 publications

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“…Welgama and Gibson [11] proposed a methodology for automating the selection of an MH system while combining the knowledgebase and optimization approaches. Chu et al [12] developed a microcomputer-based system called "ADVISOR" to help user to design, select, and evaluate the proper MH equipment for a production shop. Chan et al [13] proposed an intelligent MH equipment selection advisor (MHESA), composed of a database to store equipment types with their speci�cations, knowledge-based expert system for assisting MH equipment selection, and an AHP model to choose the most appropriate MH equipment.…”

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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“…Many di erent approaches have been proposed in the past. Chu et al (1995) as well as Kim and Eom (1997) have proposed expert-based system approaches. A closely related approach is that of knowledge based solutions.…”

Section: Literature Surveymentioning

confidence: 98%

Operation allocation and materials-handling system selection in a flexible manufacturing system: A sequential modelling approach

Paulo¹,

Lashkari²,

Dutta³

2002

International Journal of Production Research

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Materials-handling systems are an integrating component of manufacturing operations and as such must be considered within a common framework in manufacturing systems design. This work proposes a ®rst approach to the simultaneous consideration of the operation allocation and the materials-handling system selection problems in a¯exible manufacturing system. The objective of the operation allocation model is to select a group of machines where the operations of the part types will be performed and then to assign those operations to the selected machines. The operation allocation model interfaces with the materials-handling system selection model by providing input data in the form of the manufacturing operations to be performed at each machining centre. The selection of the materials-handling system is centred on the matching of the parts visiting a machining centre to perform a manufacturing operation and the abilities of the handling equipment to perform the required materials handling functions of those part types. The objective is to select an optimal group of materials-handling equipment to be assigned to a cell.

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“…They used pairwise comparison matrices to measure the relative importance of each criteria, subcriteria and sub-subcriteria and then determined the overall ranking of each alternative equipment. Chu et al (1995) developed a computer-assisted methodology for the selection of the suitable material handling equipment. Onut et al (2009) proposed a combined MCDM methodology for evaluation and selection of material handling equipment (MHE) types for a company in the steel construction industry in Istanbul, Turkey.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Fuzzy Multi Criteria Group Decision Making Model for Handling Equipment Selection

Yazdani-Chamzini

2014

Journal of Civil Engineering and Management

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The problem of handling equipment selection plays a significant role in the total cost of a mining project; so that it can affect the activity and continuity of the project and is a strategic problem. In this study, an integrated model based on two fuzzy multi-criteria decision making techniques for handling equipment selection is proposed. The proposed evaluation model is derived from group decision making, fuzzy set theory, analytical hierarchy process (AHP), and Technique to Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The fuzzy AHP (FAHP) method is utilized to calculate the relative importance of the evaluation criteria, then, fuzzy TOPSIS (FTOPSIS) is applied for evaluating the feasible handling equipment in order to select the best handling system among a pool of the possible alternatives. The model is applied for a real world case study to demonstrate the capability and effectiveness of the proposed model. To investigate the result sensitiveness to the changes of the criteria weights, a sensitivity analysis is finally conducted.

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ADVISOR: A computer-aided material handling equipment selection system

Cited by 33 publications

References 3 publications

Material Handling Equipment Selection Using Weighted Utility Additive Theory

Material Handling Equipment Selection Using Weighted Utility Additive Theory

Operation allocation and materials-handling system selection in a flexible manufacturing system: A sequential modelling approach

An Integrated Fuzzy Multi Criteria Group Decision Making Model for Handling Equipment Selection

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