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ISSN 2063-5346
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AI ASSISTED DECISION MAKING MODEL FOR SUPPLY CHAIN MANAGEMENT

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Jinka Sreedhar, Narender Chinthamu, Guna Sankar Doguparthy, Birendra Kumar Chauhan, P. Sujatha, M.B. Chandak, Vilis Pawar
» doi: 10.31838/ecb/2023.12.s3.149

Abstract

The Lean Supply Chain Management is a modern idea that arose as a result of the board's reconciliation of inclined reasoning toward the production network.The dynamic in a lean store network setting is testing a direct result of the intricacy, elements, and vulnerability intrinsic to both stockpile organisations and the kinds of waste. Proficient board information have been stated as one of the critical prerequisites for achieving integrated help for lean store network choices.These studies suggest a choice-centered information system that includes a multi-facet information model, an information lattice for information elicitation, and a choice tree for the plan of the information base. A Decision Making Model for Supply Chain Management (DMSCM) has been created utilising man-made brainpower framework shells VisiRule and Flex. The DMSCM has five central parts: a store network choice organisation chief; a waste end information base; an information refinement module; a surmising motor; and a choice justifier. The information structure and the DMSCM have been assessed through a modern choice case. The DMSCM has demonstrated that the choice-centered information structure can provide competent and viable assistance for cooperative dynamic in store network squandering.

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