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Dynamic Programming for Optimal Disposal of Metal Working Industrial Waste Water/Oil/Fluids Mixtures An Overview

Authors: D. G. Mahto; Anjani Kumar;

Dynamic Programming for Optimal Disposal of Metal Working Industrial Waste Water/Oil/Fluids Mixtures An Overview

Abstract

The metal working industries generate different kinds of waste waters as a result of processing metal parts/products, machinery, and other associated activities as well. The performing operations may have two types of activities: (a) manufacturing, and (b) rebuilding or maintenance. Actually, coolants are important component of metal working operations and it improves machinability, increases productivity and extends tool life by properly cooling and lubricating the parts and the cutting tools. But, the coolants get contaminated quickly with foreign materials, lose effectiveness and it may develop even foul odors. With a result, coolants may be used only for a short period and then it is normally discarded. In present context, a systematic and optimal disposal of metal industries wastes in the form of waste water or oil mixtures has become extremely important. This paper underlines the optimal disposal of metal working industrial waste water/oil mixtures with the help of operation research technique called Dynamic Programming.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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