Affiliation:
1. J.K.I.E., India
2. Guru Ghasidas Central Vishwavidyalaya, India
Abstract
Logistics activities are globally recognized as a core heart of each industry, as major content of productivity of industries exclusively depend on this. The system being used to manage logistic activities of firms is called as logistic system i.e. JCBs, robots, mono-trucks, trolleys conveyors etc. In recent years, assessments of logistic activities of firms are found as historic topic in the realm of industrial management. Each parameter leads the trait role in relation to materialize the economic values of material handling system. It is observed that in the context of decision making, MCDM problems under concerns of observed data rather than verbal data is resolved with short computation task by exploration of algorithmic techniques. It became indeed imperative to aid the managers from soft computing algorithmic technique for making decision under subjective or objective or subjective cum objective information. The present chapter flaunted an application of Multi Level Multi Criterion Decision Making (MLMCDM) algorithmic technique for appraising the economic values of MHS candidate choices under subjective (linguistic information provided by personnel) or objective or subjective cum objective information. A hypothetical research work is conveyed to end for aiding the firms from a DSS, in order that they could manage the logistic systems of their firms.
Cited by
2 articles.
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