Input Process Output tables, or IPO tables for short, are an effective way to model the important processing going on in your system. Let's consider the three parts of the table: Output - A piece of information which we want. Input - Data which is required in order to create the required outputs.

In porgramming, we use IPO tables to list all input and output variables and components that we will use when coding, as well as list all the processing that takes place in the program. The below example will show how an IPO table is constructed.

In economics, the relations between different branches of national economy can be described using input–output analysis. The key to this analysis is the input–output table, which shows how an output of one industry is an input to another industry.

In particular, we present a language of programs TableProg that can describe transformations that real users require. We then present an algorithm ProgFromEx that takes an example input and output ta-ble, and infers a program in TableProg that …

Apr 25, 2017 · Abstract: The RAS method is an iterative procedure that bi-proportionally scales an input-output table to be consistent with given row and column sums. It can be used to disaggregate an annual national table to more detailed tables, such as regional, quarterly, and domestic/imported tables.

Apr 25, 2004 · We follow that by evaluating the interpretability of the product of the adjustment parameters, generally known as R and S. We then move on to discuss the various formal formulations of other...

Then, we simulate using structured data and propose an algorithm to construct an input-output table that includes foreign transactions. Input-output Table is an economic statistic that systematically describes the input structure, calculation structure, and interdependency relationships between production departments produced in one country.

Nov 1, 2016 · In this paper, we propose a method for improving the accuracy of the estimation of interregional input–output tables, by combining the RAS method and the real-coded Genetic Algorithm (GA); these are simple representative methods for the estimation of an interregional input–output table.

A common shortcoming of available multi-regional input–output (MRIO) data sets is their lack of regional and sectoral detail required for many research questions (e.g. in the field of disaster impact analysis). We present a simple algorithm to refine MRIO tables regionally and/or sectorally. By the use of proxy data, each MRIO flow

powerful analytical tool that permit users to access information on detailed production functions, consumption, export, and import baskets, or to derive input-output tables, adding to the analytical usefulness to these statistics.