19 resultados para research planning
Resumo:
The purpose of this research paper was to conduct a literature review to explore both the physical and historical aspects of schools and their communities in order to ascertain the nature of the disconnect that exists today between schools and communities. This paper reviews the purpose of the public school, from the origin of the one-room schoolhouse to today's urban schools; the impact of immigration, segregation, technology and industrialization on the public school and the forces behind public school reform. The reform processes and the programs developed to stimulate the public school including the transformation of the learning environment in the communities they serve was discussed. The research indicates that the return to a community school with small learning environments that involves communities and residents in the planning of schools as communities, is the most promising form of public school reform.
Resumo:
The increasing emphasis on mass customization, shortened product lifecycles, synchronized supply chains, when coupled with advances in information system, is driving most firms towards make-to-order (MTO) operations. Increasing global competition, lower profit margins, and higher customer expectations force the MTO firms to plan its capacity by managing the effective demand. The goal of this research was to maximize the operational profits of a make-to-order operation by selectively accepting incoming customer orders and simultaneously allocating capacity for them at the sales stage. For integrating the two decisions, a Mixed-Integer Linear Program (MILP) was formulated which can aid an operations manager in an MTO environment to select a set of potential customer orders such that all the selected orders are fulfilled by their deadline. The proposed model combines order acceptance/rejection decision with detailed scheduling. Experiments with the formulation indicate that for larger problem sizes, the computational time required to determine an optimal solution is prohibitive. This formulation inherits a block diagonal structure, and can be decomposed into one or more sub-problems (i.e. one sub-problem for each customer order) and a master problem by applying Dantzig-Wolfe’s decomposition principles. To efficiently solve the original MILP, an exact Branch-and-Price algorithm was successfully developed. Various approximation algorithms were developed to further improve the runtime. Experiments conducted unequivocally show the efficiency of these algorithms compared to a commercial optimization solver. The existing literature addresses the static order acceptance problem for a single machine environment having regular capacity with an objective to maximize profits and a penalty for tardiness. This dissertation has solved the order acceptance and capacity planning problem for a job shop environment with multiple resources. Both regular and overtime resources is considered. The Branch-and-Price algorithms developed in this dissertation are faster and can be incorporated in a decision support system which can be used on a daily basis to help make intelligent decisions in a MTO operation.
Resumo:
The objective of this research and thesis was to develop a program and project in the context of the Historic Art Deco District in Miami Beach. This project intended to analyze the chronological history of the urban development of the Art Deco District, its geographical, political and socio-cultural conditions as well as the evolution and different architectonic typologies of the area. In order to understand the issues involved in design in a historic context, this research addressed and analyzed several architectonic interventions within various historic places. This research concluded with the design of a public facility located at Ocean Drive, Miami Beach, consisting of a Museum of Urban Development and Headquarters for the Planning/Preservation Department of the City of Miami Beach. The project proposal and thesis, addresses architectonic and theoretical issues specific to design in an historic area.
Resumo:
The purpose of this study is to produce a model to be used by state regulating agencies to assess demand for subacute care. In accomplishing this goal, the study refines the definition of subacute care, demonstrates a method for bed need assessment, and measures the effectiveness of this new level of care. This was the largest study of subacute care to date. Research focused on 19 subacute units in 16 states, each of which provides high-intensity rehabilitative and/or restorative care carried out in a high-tech unit. Each of the facilities was based in a nursing home, but utilized separate staff, equipment, and services. Because these facilities are under local control, it was possible to study regional differences in subacute care demand. Using this data, a model for predicting demand for subacute care services was created, building on earlier models submitted by John Whitman for the American Hospital Association and Robin E. MacStravic. The Broderick model uses the "bootstrapping" method and takes advantage of high technology: computers and software, databases in business and government, publicly available databases from providers or commercial vendors, professional organizations, and other information sources. Using newly available sources of information, this new model addresses the problems and needs of health care planners as they approach the challenges of the 21st century.