A computerized flow process charting application program of dBase III+ has been developed to aid in resource requirements planning and operations analysis. Traditional flow process charting has used as the following data elements: assembly number, assembly sequence number, distance travelled, time required for the activity and an activity symbol. The computerized system adds several variables to these in order to customize the application at Martin Marietta Electronic Systems. These additional variables include work center identification, machine number identification, lot sizes, set up and run times and manufacturing specifications. Additionally, the circle or operations symbol has been expanded to differentiate between manual, process and test activities. Resources requirements planning and analysis is accomplished by a series of reports where a user defines search requirements and enters three independent equation variables for the calculations. The three variables are realization factor or safety factor, resource availability in hours per month and monthly production demand. The resource requirements can be used in methods engineering, make-buy decisions and resource planning. Sensitivity analyses can be easily accomplished by changing the input variables and/or data.

Call number: LD2668 .T4 1986 L364 / Master of Science / Computing and Information Sciences

The purposes of this study were to design and to evaluate an online system designed to enhance communication skills and project tracking of computer software courses at Ball State University (BSU). Student Online Project Planning and Tracking System (SOPPTS) was designed and field tested to provide real-time feedback from faculty on student progress, offer online guidance for software project planning, produce tracking automation, and facilitate communication between faculty and students.SOPPTS technology was designed under the supervision of W. Zage and D. Zage, professors in the Computer Science Department at BSU.Participants in this study included six BSU undergraduate students, six BSU graduate students and seven BSU faculty members. Each participant was interviewed for one hour in an instructor's office in the BSU Computer Science Department. With the participants' permission, each interview was audio-taped and coded with a letter and number.Data evaluation consisted of narrative summaries of the interviews, an analysis of the evidence in terms of the research questions and the compilation of data to show both emerging themes and major trends.Analysis of the data showed that learning was definitely enhanced, and that faculty evaluations were also strongly enhanced. Participants recommended more SOPPTS applications, both industrial and academic. The emerging themes showed that faculty and students:1) Had more and easier access to information; students' work was better organized; student team spirit grew; students were more accurately evaluated by instructors;2) Had more efficient methods for report submission and record keeping; students interaction with teachers increased; students found SOPPTS better than email;3) Students and teachers could work from various locations, with greater access to record retrieval and submission of reports, so that documents submitted were available to all instead of getting lost;4) Students were motivated by the nature of online task assignment and tracking because of greater accountability; faculty members were happy to see students' project progress online; 5) Improved time and project management through greater awareness of milestones, deadlines and date/ time "stamping" of report submissions.Major trends show that improved access to information and communication facilitated learning, and that planning and tracking skills improved. / Department of Educational Leadership

No description available.

Discusses the development of WebSAT (Web-based systems administration tool), a computer network tool that allows systems administrators to create and delete accounts, disable and enable existing accounts, manage disk space conveniently, monitor the status of all network printers, and monitor network security. The WebSAT application was implemented using PHP, a server-side embedded scripting language, with a MySQL database.

Traditional planning and scheduling techniques have played an important role is system analysis over the last three decades. They provide construction planners with mathematical models to simulate the construction process as an aid in planning and control of complex projects. Although these techniques have been widely used by the construction industry, they possess many limitations. Researchers and practitioners in the construction industry have followed two directions to overcome most of the limitations of current planning techniques. The first direction has been concentrated on the utilization of state-of-the-art Computer Aided Design (CAD) and 3D computer modeling technology. The objective of their work is to interactively generate and visually simulate the construction process on graphics display. The second direction has been influenced by the potential capabilities of Artificial Intelligence (AI) technology to accomplish “Automated Planning”. This group has utilized knowledge-based and expert systems to automatically generate construction plans. The research proposed here presents a geometric-based reasoning system called KNOW-PLAN. The system integrates CAD and 3D computer modeling technology with AI technology to automatically generate and simulate construction plans. The system, therefore, can be classified as a third alternative in approaching the planning problem. The research seeks to utilize geometric data to provide a dynamic sequencing for project planning. The research utilizes object location and object interaction with other objects as the primary source of reasoning for the project plan. The interaction of objects is based on a classification of objects with relation to connection types among them, the zones in which the objects are located, and relationships between the classes with which the objects are associated. To accomplish the objectives of the research, an overall model called the KNOW-PLAN model has been formulated. This model is formulated to demonstrate theoretically the feasibility of implementing such a model in real-life. The implementation effort has been concentrated on the development of the crucial components of the KNOW-PLAN model using advanced computer applications. The implementation at this level is referred to as the KNOW-PLAN prototype system. / Ph. D.

Thesis (M. Tech.) - Central University of Technology, Free State, 2009

MASTS is an extensible, feature rich, software architecture based on tabu search (TS), a metaheuristic that relies on memory structures to intelligently organize and navigate the search space. MASTS introduces a new methodology of rule based objectives (RBOs), in which the search objective is replaced with a binary comparison operator more capable of expressing a variety of preferences. In addition, MASTS supports a new metastrategy, dynamic neighborhood selection (DNS), which “learns” about the search landscape to implement an adaptive intensification-diversification strategy. DNS can improve search performance by directing the search to promising regions and reducing the number of required evaluations. To demonstrate the flexibility and range of capabilities, MASTS is applied to two complex decision problems in conservation planning and groundwater management. As an extension of MASTS, ConsNet addresses the spatial conservation area network design problem (SCANP) in conservation biology. Given a set of possible geographic reserve sites, the goal is to select which sites to place under conservation to preserve unique elements of biodiversity. Structurally, this problem resembles the NP-hard set cover problem, but also considers additional spatial criteria including compactness, connectivity, and replication. Modeling the conservation network as a graph, ConsNet uses novel techniques to quickly compute these spatial criteria, exceeding the capabilities of classical optimization methods and prior planning software. In the arena of groundwater planning, MASTS demonstrates extraordinary flexibility as both an advanced search engine and a decision aid. In House Bill 1763, the Texas state legislature mandates that individual Groundwater Conservation Districts (GCDs) must work together to set specific management goals for the future condition of regional groundwater resources. This complex multi-agent multi-criteria decision problem involves finding the best way to meet these goals considering a host of decision variables such as pumping locations, groundwater extraction rates, and drought management policies. In two separate projects, MASTS has shaped planning decisions in the Barton Springs/Edwards Aquifer Conservation District and Groundwater Management Area 9 (GMA9). The software has been an invaluable decision support tool for planners, stakeholders, and scientists alike, allowing users to explore the problem from a multicriteria perspective. / text

It is not revolutionary to say that repetition and practical experience is a very important aspect in learning about and understanding a topic. This is especially true for languages, particularly from the point of view of vocabulary.Like in many other processes that deal with gaining knowledge, studying foreign words involves a lot of side work: For instance the selection of words, or their presentation for the actual training.The purpose of this thesis is to automate the study of vocabulary. To do so, an intelligent software package was developed. Divided into three parts the project takes into account the aspects from the language point of view, from the studying point of view, and from the computer science point of view.The fundamental idea to accomplish the goal is a relational database system. It is utilized by software programs that solve their tasks in respect to data management, data manipulation, storage and retrieval, in an efficient way.The system is developed for English speaking persons studying German as a foreign language. And with every language having its own nature, it naturally influences all levels and aspects of design and utilization of the database.l: / Department of Computer Science

The purpose of the project is to compare the managerial and administrative benefits of the Construction Project Management Information System (CPMIS) implemented at the San Bernardino County Medical Center Replacement Project (SBCMCRP) with the E-Government environment.