Issues in Economic Justification for Flexible Manufacturing Systems and Some Guidelines for Managers

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
S. Pant, L. Ruff
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引用次数: 8

Abstract

Information technology has enabled substantial automation of manufacturing functions by way of computer integrated manufacturing and flexible manufacturing systems. These systems offer many benefits but also require substantial long term capital investment. Traditional cost accounting and capital budgeting techniques fail to fully justify installation of these systems. A substantial quantity of literature in this field is reviewed to come up with the existing state of affairs in manufacturing automation and economic justification of flexible manufacturing systems. Economic justification of flexible manufacturing systems on broader basis than provided by traditional methods appears to be not only desirable but also imperative for manufacturing firms going in for them. Based on literature review, some guidelines have been culled for managers to enable them to invest in these systems on a more rational basis and with more confidence. A bibliography of articles and research papers provides further references and readings to practitioners in this area.
柔性制造系统的经济合理性问题及管理指南
信息技术通过计算机集成制造和柔性制造系统实现了制造功能的大量自动化。这些系统提供了许多好处,但也需要大量的长期资本投资。传统的成本核算和资本预算技术不能完全证明安装这些系统是合理的。本文回顾了该领域的大量文献,提出了制造自动化的现状和柔性制造系统的经济合理性。与传统方法相比,在更广泛的基础上对柔性制造系统进行经济论证似乎不仅是可取的,而且是制造企业进入柔性制造系统的必要条件。在文献综述的基础上,为管理者挑选了一些指导方针,使他们能够在更理性和更自信的基础上投资于这些系统。文章和研究论文的参考书目为这一领域的从业者提供了进一步的参考和阅读。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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