Iowa Adult Literacy Program Benchmark Presentation, 2005

The purpose of this publication is to present the Executive Summary Program Year 2005 report on Iowa’s adult literacy program benchmarks.1 The passage of the Workforce Investment Act (WIA) of 1998 [Public Law 105-220] by the 105th Congress ushered in a new era of collaboration, coordination, cooperation and accountability. The overall goal of the Act is “to increase the employment, retention, and earnings of participants, and increase occupational skill attainment by participants, and, as a result improve the quality of the workforce, reduce welfare dependency, and enhance the productivity and competitiveness of the Nation.”

Iowa's Adult Literacy Program Annual Benchmark Report, 2006

The purpose of this publication is to present the Program Year 2006 report on Iowa’s adult literacy program benchmarks. The passage of the Workforce Investment Act (WIA) of 1998 [Public Law 105-220] by the 105th Congress ushered in a new era of collaboration, coordination, cooperation and accountability. The overall goal of the Act is “to increase the employment, retention, and earnings of participants, and increase occupational skill attainment by participants, and, as a result improve the quality of the workforce, reduce welfare dependency, and enhance the productivity and competitiveness of the Nation.”

Iowa Adult Literacy Program Annual Benchmark Report, 2006

The purpose of this publication is to present the Program Year 2005 report on Iowa’s adult literacy program benchmarks. The passage of the Workforce Investment Act (WIA) of 1998 [Public Law 105-220] by the 105th Congress ushered in a new era of collaboration, coordination, cooperation and accountability. The overall goal of the Act is “to increase the employment, retention, and earnings of participants, and increase occupational skill attainment by participants, and, as a result improve the quality of the workforce, reduce welfare dependency, and enhance the productivity and competitiveness of the Nation.”

Desempenho de Indices Socialmente Responsaveis

Nos últimos anos os investimentos socialmente responsáveis têm tido um crescimento significativo a nível mundial. Neste âmbito, este estudo pretende analisar se o investimento em índices socialmente responsáveis tem um desempenho superior, inferior ou igual aos índices convencionais. Neste estudo é analisado o desempenho de 13 índices de acções sustentáveis, a nível internacional, durante o período de 01 de Janeiro de 2002 a 31 de Dezembro de 2008, com base nas medidas tradicionais de desempenho de Treynor (1965), Sharpe (1966) e Jensen (1968) e nos modelos multi-factores de Fama e French de três factores (1993) e Carhart de quatro factores (1997). Os resultados obtidos sugerem que os investimentos em índices socialmente responsáveis não tiveram um desempenho inferior nem superior aos seus pares convencionais. Foi ainda verificado que muitos índices sustentáveis apresentaram um nível de risco superior aos dos seus benchmarks.

“DESEMPENHO DE ÍNDICES SOCIALMENTE RESPONSÁVEIS”

Nos últimos anos os investimentos socialmente responsáveis têm tido um crescimento significativo a nível mundial. Neste âmbito, este estudo pretende analisar se o investimento em índices socialmente responsáveis tem um desempenho superior, inferior ou igual aos índices convencionais. Neste estudo é analisado o desempenho de 13 índices de acções sustentáveis, a nível internacional, durante o período de 01 de Janeiro de 2002 a 31 de Dezembro de 2008, com base nas medidas tradicionais de desempenho de Treynor (1965), Sharpe (1966) e Jensen (1968) e nos modelos multi-factores de Fama e French de três factores (1993) e Carhart de quatro factores (1997). Os resultados obtidos sugerem que os investimentos em índices socialmente responsáveis não tiveram um desempenho inferior nem superior aos seus pares convencionais. Foi ainda verificado que muitos índices sustentáveis apresentaram um nível de risco superior aos dos seus benchmarks.

Network revenue management with product-specific no-shows

Revenue management practices often include overbooking capacity to account for customerswho make reservations but do not show up. In this paper, we consider the network revenuemanagement problem with no-shows and overbooking, where the show-up probabilities are specificto each product. No-show rates differ significantly by product (for instance, each itinerary andfare combination for an airline) as sale restrictions and the demand characteristics vary byproduct. However, models that consider no-show rates by each individual product are difficultto handle as the state-space in dynamic programming formulations (or the variable space inapproximations) increases significantly. In this paper, we propose a randomized linear program tojointly make the capacity control and overbooking decisions with product-specific no-shows. Weestablish that our formulation gives an upper bound on the optimal expected total profit andour upper bound is tighter than a deterministic linear programming upper bound that appearsin the existing literature. Furthermore, we show that our upper bound is asymptotically tightin a regime where the leg capacities and the expected demand is scaled linearly with the samerate. We also describe how the randomized linear program can be used to obtain a bid price controlpolicy. Computational experiments indicate that our approach is quite fast, able to scale to industrialproblems and can provide significant improvements over standard benchmarks.

Beyond Smith's rule: An optimal dynamic index, rule for single machine stochastic scheduling with convex holding costs

Most research on single machine scheduling has assumedthe linearity of job holding costs, which is arguablynot appropriate in some applications. This motivates ourstudy of a model for scheduling $n$ classes of stochasticjobs on a single machine, with the objective of minimizingthe total expected holding cost (discounted or undiscounted). We allow general holding cost rates that are separable,nondecreasing and convex on the number of jobs in eachclass. We formulate the problem as a linear program overa certain greedoid polytope, and establish that it issolved optimally by a dynamic (priority) index rule,whichextends the classical Smith's rule (1956) for the linearcase. Unlike Smith's indices, defined for each class, ournew indices are defined for each extended class, consistingof a class and a number of jobs in that class, and yieldan optimal dynamic index rule: work at each time on a jobwhose current extended class has larger index. We furthershow that the indices possess a decomposition property,as they are computed separately for each class, andinterpret them in economic terms as marginal expected cost rate reductions per unit of expected processing time.We establish the results by deploying a methodology recentlyintroduced by us [J. Niño-Mora (1999). "Restless bandits,partial conservation laws, and indexability. "Forthcomingin Advances in Applied Probability Vol. 33 No. 1, 2001],based on the satisfaction by performance measures of partialconservation laws (PCL) (which extend the generalizedconservation laws of Bertsimas and Niño-Mora (1996)):PCL provide a polyhedral framework for establishing theoptimality of index policies with special structure inscheduling problems under admissible objectives, which weapply to the model of concern.

Customer Focus Newsleter, October, November 2004, Vol. 1, no. 1

With this newsletter, we begin a bi-monthly bulletin to keep the department/agency management teams of state government better informed. We hope to consolidate most of the service update messages we send throughout the month and keep you updated about the work of the Customer Councils. If yours is one of the many departments who participated in the second annual DAS customer satisfaction survey recently, we thank you for taking the time to give us this important feedback. We look forward to sharing survey results with you, and pledge to consider responses carefully as we work to determine benchmarks and set future priorities.

Customer Focus Newsleter, September-October, 2007, Vol. 4, no. 5

A bi-monthly bulletin to keep the department/agency management teams of state government better informed. We hope to consolidate most of the service update messages we send throughout the month and keep you updated about the work of the Customer Councils. If yours is one of the many departments who participated in the second annual DAS customer satisfaction survey recently, we thank you for taking the time to give us this important feedback. We look forward to sharing survey results with you, and pledge to consider responses carefully as we work to determine benchmarks and set future priorities.

Customer Focus Newsleter, February-March 2005, Vol. 2, no. 3

With this newsletter, we begin a bi-monthly bulletin to keep the department/agency management teams of state government better informed. We hope to consolidate most of the service update messages we send throughout the month and keep you updated about the work of the Customer Councils. If yours is one of the many departments who participated in the second annual DAS customer satisfaction survey recently, we thank you for taking the time to give us this important feedback. We look forward to sharing survey results with you, and pledge to consider responses carefully as we work to determine benchmarks and set future priorities.

Customer Focus Newsleter, May-June 2005, Vol. 2, no. 4

A bi-monthly bulletin to keep the department/agency management teams of state government better informed. We hope to consolidate most of the service update messages we send throughout the month and keep you updated about the work of the Customer Councils. If yours is one of the many departments who participated in the second annual DAS customer satisfaction survey recently, we thank you for taking the time to give us this important feedback. We look forward to sharing survey results with you, and pledge to consider responses carefully as we work to determine benchmarks and set future priorities.

Customer Focus Newsleter, July-August 2005, Vol. 2, no. 5

A bi-monthly bulletin to keep the department/agency management teams of state government better informed. We hope to consolidate most of the service update messages we send throughout the month and keep you updated about the work of the Customer Councils. If yours is one of the many departments who participated in the second annual DAS customer satisfaction survey recently, we thank you for taking the time to give us this important feedback. We look forward to sharing survey results with you, and pledge to consider responses carefully as we work to determine benchmarks and set future priorities.

Customer Focus Newsleter, September-October 2005, Vol. 2, no. 6

A bi-monthly bulletin to keep the department/agency management teams of state government better informed. We hope to consolidate most of the service update messages we send throughout the month and keep you updated about the work of the Customer Councils. If yours is one of the many departments who participated in the second annual DAS customer satisfaction survey recently, we thank you for taking the time to give us this important feedback. We look forward to sharing survey results with you, and pledge to consider responses carefully as we work to determine benchmarks and set future priorities.

Customer Focus Newsleter, November-December 2005, Vol. 2, no. 7

A bi-monthly bulletin to keep the department/agency management teams of state government better informed. We hope to consolidate most of the service update messages we send throughout the month and keep you updated about the work of the Customer Councils. If yours is one of the many departments who participated in the second annual DAS customer satisfaction survey recently, we thank you for taking the time to give us this important feedback. We look forward to sharing survey results with you, and pledge to consider responses carefully as we work to determine benchmarks and set future priorities.

Customer Focus Newsleter, May-June 2006, Vol. 3, no. 3

A bi-monthly bulletin to keep the department/agency management teams of state government better informed. We hope to consolidate most of the service update messages we send throughout the month and keep you updated about the work of the Customer Councils. If yours is one of the many departments who participated in the second annual DAS customer satisfaction survey recently, we thank you for taking the time to give us this important feedback. We look forward to sharing survey results with you, and pledge to consider responses carefully as we work to determine benchmarks and set future priorities.