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Journal of Emerging Trends in Engineering and Applied Sciences (JETEAS)


Article Title: Tool Requirement Planning for Automated Manufacturing Systems
by D. Ganeshwar Rao; C. Patvardhan and Ranjit Singh

It has been observed by researchers that the advent of automated manufacturing systems has greatly increased the productivity potential of manufacturers, but at the same time, the increased number of tool components and their application requirements has hindered increased productivity. Due to the unwarranted investment in large number of tools, cost of production has increased instead of decreasing. Research is therefore needed on proper tool planning for these systems. The purpose of this study is to present a Tool requirement Planning Model, developed with an aim of tool investment minimization. Tool requirement planning (TRP) is one of the primary functions for the effective tool management of the present day versatile multi-tool CNC machining centres. Under TRP, issues such as tool procurement, tool life inventory, use of alternative tools etc. can be addressed below the aggregate planning. At this level, optimum selection of tools is important. This problem of selecting the tools out of various alternatives available keeping the overall cost at minimum, falls under the class of NP-hard problems and precludes the possibility of finding efficient polynomial time algorithm for it. Therefore, in the present work, potential of evolutionary search algorithms viz. Genetic Algorithms and Guided Evolutionary Simulated Annealing has been explored and a model has been developed to provide the optimum set of tools out of the alternative tools available for performing operations on a batch of parts. The model has been validated with the data collected from an industry. A considerable reduction of approximately 40% in the overall cost not only confirms the necessity of proper tool management but also indicates the search power and effectiveness of the stochastic search heuristics for such problems.
Keywords: automated manufacturing, tool requirement, alternative tool, tool life, tool inventory, stochastic search, evolutionary algorithm
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ISSN: 2141-7016

Editor in Chief.

Prof. Gui Yun Tian
Professor of Sensor Technologies
School of Electrical, Electronic and Computer Engineering
University of Newcastle
United Kingdom



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