Technology Description

Our product is a robust decision support system for supply chain management (and similar domains), which offers information useful for making strategic (e.g. investment) and tactical (e.g. purchasing) decisions about inventory, purchasing, capacity planning, etc. The answers produced form a natural hierarchy based on increasing amount of assumptions driving the design. The amount of information driving the design is also quantified based on information theoretic concepts. Our product has convenient ways for (a) specifying design information using constraints (b) analyzing information using both relational algebra and information theoretic concepts, and (c) robust optimization techniques based on convex programming. As far as we can make out, it is unique in its ability to both specify uncertainty and quantify it based on Shannon theory. We have filed PCT applications for this.

Contact details:

Prof Narahari
Email: hari@csa.iisc.ernet.in