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The Lead Sales and Operations Planning role is responsible for providing leadership using an influential leadership style with global Sales and Operations Planning for motorcycles / parts and accessories / general merchandise. This position will lead project teams through the coordination and development of the integrated worldwide retail and wholesale forecasts, and / or inventory (company and dealer) and production plans with relevant stakeholders to maximize volume growth on a worldwide basis.
Must go through the literature research provided for the concept of robust optimization and help in the implementation of it. This concept comes under operations research. Requires a person who's good at advanced Mathematics, and linear programming and can understand mathematical programming.
only questions 1 and question 3 deadline 7/7
In need someone to explain to me the key workings of the code found here So you will need to have this code working on your computer and step through the key elements to explain. I have almost no background in Python except a most basic level but work in technical/analytic field and have worked on other programming. Program uses Pyomo and glpk solver. $/hr basis.
So I have some data X,Y,Z. I want to make a table where X,Y are the axis, and I give it some of the data for Z. Now the bit that is tricky. My data of X,Y is pretty random. So I want excel to put it in to the nearest number or interpolate the number in the middle. Example values for the chart: x values - 5,10,15,20,25,30 y values - 0,45,60,90 Data sample values: x values - 17.5,10.5,15.5,22, etc y values - 50.3,45,38,57, etc Ideally once I have built the chart with the known z data points the blank data points would be worked out Any ideas on how to do this or if it is possible?