Iowa Department of Revenue Performance Report, FY2005

Agency Performance Report

Iowa Department of Revenue Performance Report, FY2006

Agency Performance Report

Iowa Department of Revenue Performance Report, FY2007

Agency Performance Report

Iowa Department of Revenue Performance Report, FY2008

Agency Performance Report

Iowa Department of Revenue Performance Report, FY2009

Agency Performance Report

Iowa Department of Revenue Performance Report, FY2010

Agency Performance Report

Iowa Department of Revenue Performance Report, FY2011

Agency Performance Report

Iowa Department of Revenue Performance Report, FY2012

Agency Performance Report

Iowa Department of Revenue Performance Report FY2013

In our Strategic Plan, we identified three goals, and a number of strategies to achieve those goals. This Performance Plan summarizes our tactical steps toward achieving those goals. In the pages that follow, we highlight six noteworthy achievements. Thereafter, we have summarized the results of each of the measures identified in our Fiscal Year 2013 Performance Plan.

Iowa Workforce Development Revenue Performance Plan, FY2014

Agency Performance Plan, Iowa Workforce Development

Iowa Department of Revenue Performance Report FY2014

In our Strategic Plan, we identified three goals, and a number of strategies to achieve those goals. This Performance Plan summarizes our tactical steps toward achieving those goals. In the pages that follow, we highlight six noteworthy achievements. Thereafter, we have summarized the results of each of the measures identified in our Fiscal Year 2014 Performance Plan.

Iowa Department of Revenue, Strategic Plan, 2012-2015

This report outlines the strategic plan for Iowa Department of Revenue, goals and mission.

Report of recommendations to the Iowa Department of Revenue for the year ended June 30, 2013

Report of recommendations of the Iowa Department of Revenue for the year ended June 30, 2013

On the tractability of the piecewise-linear approximation for general discrete-choice network revenue management

The choice network revenue management (RM) model incorporates customer purchase behavioras customers purchasing products with certain probabilities that are a function of the offeredassortment of products, and is the appropriate model for airline and hotel network revenuemanagement, dynamic sales of bundles, and dynamic assortment optimization. The underlyingstochastic dynamic program is intractable and even its certainty-equivalence approximation, inthe form of a linear program called Choice Deterministic Linear Program (CDLP) is difficultto solve in most cases. The separation problem for CDLP is NP-complete for MNL with justtwo segments when their consideration sets overlap; the affine approximation of the dynamicprogram is NP-complete for even a single-segment MNL. This is in contrast to the independentclass(perfect-segmentation) case where even the piecewise-linear approximation has been shownto be tractable. In this paper we investigate the piecewise-linear approximation for network RMunder a general discrete-choice model of demand. We show that the gap between the CDLP andthe piecewise-linear bounds is within a factor of at most 2. We then show that the piecewiselinearapproximation is polynomially-time solvable for a fixed consideration set size, bringing itinto the realm of tractability for small consideration sets; small consideration sets are a reasonablemodeling tradeoff in many practical applications. Our solution relies on showing that forany discrete-choice model the separation problem for the linear program of the piecewise-linearapproximation can be solved exactly by a Lagrangian relaxation. We give modeling extensionsand show by numerical experiments the improvements from using piecewise-linear approximationfunctions.