<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>DSpace Community: Systems Design &amp; Management</title>
    <link>http://hdl.handle.net/1721.1/7920</link>
    <description />
    <textInput>
      <title>The Community's search engine</title>
      <description>Search the Channel</description>
      <name>search</name>
      <link>http://dspace.mit.edu/simple-search</link>
    </textInput>
    <item>
      <title>A systems perspective for assessing carbon dioxide capture and storage opportunities</title>
      <link>http://hdl.handle.net/1721.1/34803</link>
      <description>Title: A systems perspective for assessing carbon dioxide capture and storage opportunities
&lt;br/&gt;
&lt;br/&gt;Authors: Singh, Nisheeth, 1973-
&lt;br/&gt;
&lt;br/&gt;Abstract: Even as the acceptance of the fossil fuel greenhouse effect theory continues to grow amongst academics, statesmen and plebeians alike, the early adopters have already engaged in pre-emptive research activities aimed at mitigating the effects of such greenhouse gases. The focus of one such effort is on the capture and storage of CO₂ (carbon dioxide) from anthropogenic fixed source emissions. This effort can be broken down into a few broad categories such as terrestrial, ocean and geologic sequestration. Geologic sequestration refers to all activities geared towards the capture and storage of CO₂ under the surface of the earth in diverse 'reservoirs' such as deep saline formations, depleted oil and gas wells and unmineable coal seams to name a few. This investigation develops a systems perspective for assessing carbon dioxide capture and storage (CCS) opportunities within the realm of geologic sequestration. While multiple concurrent research activities continue to explore CCS opportunities from various perspectives, efforts at a systems analysis of the overall picture are just beginning. A systems view describing methodologies to integrate a variety of CCS data to assess potential sequestration opportunities is at the heart of this study. It is based on research being conducted at the Massachusetts Institute of Technology (MIT) under sponsorship of the United States Department of Energy (DOE). Using a Geographic Information System (GIS) and publicly available data, a detailed characterization of CO₂ sources and reservoirs are being developed. A source-reservoir matching process will be implemented which begins with quantifying the 'capturability' of a CO₂ source, a function of the purity, volume and several site specific considerations. Next, the potential; (cont.) proximate reservoirs are identified and then ranked based on transport options, type, capacity, cost, regulatory considerations and political sensitivity. All the above criteria will be spatially represented in the GIS and can be overlaid to produce a composite picture identifying the potential areas which would represent the maximum probability of success in sequestration efforts. A rigorous systems engineering approach will be adopted throughout the investigation. Novel tools such as the Object-Process CASE (OPCAT) tool will be used to model the complex and interdisciplinary system. A comprehensive systems modeling and engineering tool, it allows the representation of function, structure and behavior in a single model. Ultimately, the methodologies developed will be integrated and utilized in a case study to illustrate the methodology of evaluating CCS options for a given set of sources. A region in Mississippi has been identified for this model case-study. The methodology will be applied at a later time to evaluate CCS potential in the South East Regional Carbon Sequestration Partnership (SERCSP) and the West Coast Regional Carbon Sequestration Partnership (WCRCSP).
&lt;br/&gt;
&lt;br/&gt;Description: Thesis (S.M.)--Massachusetts Institute of Technology, System Design &amp; Management Program, 2004.; Includes bibliographical references (p. 86-89).</description>
      <pubDate>Wed, 29 Oct 2003 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework</title>
      <link>http://hdl.handle.net/1721.1/40328</link>
      <description>Title: Prevention sequence mechanisms (PSM) for Near Earth Objects (NEOs) based on a three parameter scheme based classification framework
&lt;br/&gt;
&lt;br/&gt;Authors: Sahani, Rohan
&lt;br/&gt;
&lt;br/&gt;Description: Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science; and, (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2007.; This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.; Includes bibliographical references (p. 193-198).</description>
      <pubDate>Sun, 29 Oct 2006 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Study and analysis of best practices for the development of systems engineers at a multi-national organization</title>
      <link>http://hdl.handle.net/1721.1/37985</link>
      <description>Title: Study and analysis of best practices for the development of systems engineers at a multi-national organization
&lt;br/&gt;
&lt;br/&gt;Authors: Dubey, Rajeev
&lt;br/&gt;
&lt;br/&gt;Description: Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2006.; Includes bibliographical references (p. 48-49).</description>
      <pubDate>Sat, 29 Oct 2005 22:58:59 GMT</pubDate>
    </item>
    <item>
      <title>Product and program management : battling the strangler trees of system and social complexity in the software market jungle</title>
      <link>http://hdl.handle.net/1721.1/37984</link>
      <description>Title: Product and program management : battling the strangler trees of system and social complexity in the software market jungle
&lt;br/&gt;
&lt;br/&gt;Authors: Hempe, John A. (John Alan)
&lt;br/&gt;
&lt;br/&gt;Abstract: An exploration of Software Product and Program Management as recently emergent roles in the information technology sector is presented. The exploration is presented in six sections divided into two major parts. The first part, in four sections, explores Product Management from a primarily anthropological and managerial perspective, while the second part, in two sections, explores major engineering issues related to the role. The first part gives a synopsis of the history and economics of software products, demonstrating the rapid evolution of a field facing unprecedented problems with product complexity and motivating the need for Product Management. The role of Product Manager is explored in detail using both extant literature and interviews conducted with current practitioners in industry. The related role of Program Manager is briefly discussed. Finally, an extended historical case study is presented demonstrating the struggles and pitfalls of Product Management in software product companies. The second part explores two major engineering issues related to the Product Management role: Project Management and Requirements Engineering.; (cont.) A survey of major Software Project Management methods in use is given along with critiques of their effectiveness. Finally, the emerging field of Requirements Engineering is studied, with the conclusion that purely analytical methods such as semi-formal modeling cannot obviate the need for social process methods. Such methods take into account the tendency for human communication problems both to sabotage and to become embedded within software systems.
&lt;br/&gt;
&lt;br/&gt;Description: Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2006.; Includes bibliographical references (p. 108-109).</description>
      <pubDate>Sat, 29 Oct 2005 22:58:59 GMT</pubDate>
    </item>
  </channel>
</rss>

