[논문]웹 기반의 자동물류설비 운영을 위한 분석 및 설계 시스템에 관한 연구

조지운; 유우연; 양재경

[국내논문] 웹 기반의 자동물류설비 운영을 위한 분석 및 설계 시스템에 관한 연구
A Web-based Analysis and Design System for Automated Material Handling Equipment Applications 원문보기

산업공학 = IE Interfaces, v.18 no.4, 2005년, pp.431 - 443

조지운 (울산대학교 산업정보경영공학부) , 유우연 (명지대학교 산업시스템공학과) , 양재경 (전북대학교 산업정보시스템공학과)

Abstract ▼ AI-Helper

This paper describes a web-based system called DESIGNER for the analysis and design for automated material handling equipment(MHE) applications in manufacturing. DESIGNER models the processes for system integration, economic analysis, performance analysis, and automated storage/retrieval system(AS/RS) design. Based on the information specified by users, the various analysis modules are invoked to meet the needs of the material handling applications. The results of the analyses provide system users with useful data for material handling system design and decision on investment in automated MHE. Example problems are also presented to demonstrate the use of the system.

Keyword

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문제 정의

This paper presents a web-based system called DESIGNER for the analyses for automated MHE applications in manufacturing. The system provides analysis and design modules including system integration & specification, economic analysis, performance analysis, and automated storage/retrieval system(AS/RS) design.
In this article, a web-based intelligent system called DESIGNER to support problem solving in analysis and design for automated MHE applications is presented. The system consists of four analysis and design modules including system integration & specification, economic analysis, performance analysis, and AS/RS design.

제안 방법

This paper presents a web-based system called DESIGNER for the analyses for automated MHE applications in manufacturing. The system provides analysis and design modules including system integration & specification, economic analysis, performance analysis, and automated storage/retrieval system(AS/RS) design. Benefits from the system include savings in total time required to accomplish the analysis processes for automated MHE and reduction in equipment analysis error.
In this paper, a hybrid AI problem-solving (object-oriented and knowledge-based) approach is used for the selection of a suitable automated MHE model and the design of system integration between the automated MHE and other systems.
, Murata RAV1-X with certainty of 90%) along with specifications by using the user’s response data about the critical features and comparisons. According to the above information, this application consists of an MES as the shop floor control system, an AS/RS control system, an AGV control system, and sub controllers for auxiliary MHE such as roller conveyors. Generally, the MES computer generates the job schedules, material movement routes, order picking lists, and material retrieval & storage orders.
A performance measure may be defined as a value quantifying effectiveness of an MHE. In this research, three performance measures that include MHE utilization, handling time per unit load, and throughput are employed.
However the material handling environment is highly stochastic so that the problem with stochastic models often overestimate or underestimate the required number of MHE because it is difficult to estimate the MHE congestion and empty travel times. In this research, a performance(work-volume) analysis with a deterministic model(i.e. the required information is known) is used to estimate the required number of MHE and performance measures including MHE utilization, handling time per unit load, and throughput.
In this article, a web-based intelligent system called DESIGNER to support problem solving in analysis and design for automated MHE applications is presented. The system consists of four analysis and design modules including system integration & specification, economic analysis, performance analysis, and AS/RS design. DESIGNER will be a useful design tool for material handling system designer, especially for those who are not familiar with automated MHE, and enrich existing design process with more intelligent abilities.

대상 데이터

Therefore constructing a database that includes all types of automated MHE is not feasible. The system considers a total of 15 types of automated MHE and a total of 151 commercial models of the types of automated MHE are surveyed(Kulweic, 1980 and 1985; Plant Engineering Reprint Series; MHE catalogs; http:www.mhia.org/). The 15 equipment types and the commercial models of the MHE types together constitute the basic database of the MHE used by DESIGNER.
The major sources from which the database was compiled are MHE catalogs(http:www.mhia. org/) and the magazines related to material handling(Modern Material Handling, Plant Engineering Reprint Series). Many automated MHE applications and references in action are also surveyed(e.

참고문헌 (21)

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상세보기
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상세보기
Fisher, E. L., Farber, J. B. et al.(1988), MATHES: An expert system formaterial handling equipment selection, Eng. Costs & Prod. Econ., 14, 297-310

상세보기
Gabbert, P. and Brown, D. E.(1989), Knowledge based computer aided design of materials handling systems, IEEE Trans. on System, Man, and Cybernetics, 19(2), 188-195

상세보기
Heragu, S.(1997), Facility Design, PWS Publishing Company, Boston
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Kulweic, R. A.(1985), Materials Handling Handbook, John Wiley, New York
Kulweic, R. A.(1980), Material handling equipment guide, Plant Engineering, August 21, 88-99
Lashkari, R. S. et al.(2004), Towards an integrated model of operation allocation and material handling selection in cellular manufacturing systems, Int. J. Production Economics, 87, 115-139

상세보기
Matson, J. O. and Mellichamp, J. M. et al.(1992), EXCITE: Expert consultant for in-plant transportation equipment, Int. J. Prod. Res., 30(8), 1969-1983

상세보기
Mohsen, M. D. et al.(1985), A construction algorithm for the selection and assignment of material handling equipment, Int. J. Prod. Res., 23(2), 381-392

상세보기
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상세보기
Sule, D. R.(1994), Manufacturing Facilities: Location, Planning, and Design, : PWS Publishing Company, Boston
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상세보기
Welgama, P. S. and Gibson, P. R.(1996), An integrated methodology for automating the determination of layout and material system, Int. J. Prod. Res., 34(8), 2247-2264

상세보기
Material Handling: Specialized handling systems. Plant Engineering. Reprint Series 45(1)
Material Handling: Unit load conveyors. Plant Engineering. Reprint Series 45(2)
Material Handling: Warehousing. Plant Engineering. Reprint Series 45(3)
Material Handling: Overhead cranes and hoists. Plant Engineering. Reprint Series 45(4)
Material Handling: Storage systems. Plant Engineering. Reprint Series 45(5)
Material Handling: Lift trucks. Plant Engineering. Reprint Series 45(6)

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[국내논문] 웹 기반의 자동물류설비 운영을 위한 분석 및 설계 시스템에 관한 연구
A Web-based Analysis and Design System for Automated Material Handling Equipment Applications 원문보기

Abstract ▼ AI-Helper

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AI 본문요약
AI-Helper

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[국내논문] 웹 기반의 자동물류설비 운영을 위한 분석 및 설계 시스템에 관한 연구 A Web-based Analysis and Design System for Automated Material Handling Equipment Applications 원문보기

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[국내논문] 웹 기반의 자동물류설비 운영을 위한 분석 및 설계 시스템에 관한 연구
A Web-based Analysis and Design System for Automated Material Handling Equipment Applications 원문보기

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