• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • 1
  • Tagged with
  • 2
  • 2
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Interdicting a force deployment two-sided optimization of asset selection, lift scheduling, and multi-commodity load planning

Koprowski, Peter M. 03 1900 (has links)
Approved for public release, distribution is unlimited / A military deployment is visible and vulnerable. But, deployments are currently planned assuming they can be completed with surprise, or defended from any threat. JFAST, the current deployment planning and visualization tool of choice, uses heuristics of unknown reliability that yield deployment plans of unknown quality, and ignores vulnerability. We introduce LIFTER, an integer-linear program (ILP) that optimizes a time-phased force deployment (TPFDD) by day, by asset cycle, and by TPFDD line (individual shipment from an origin to a destination), and ATTACKER, also an ILP, representing a smart enemy's resource-limited interdictions to maximally disrupt LIFTER's subsequently re-optimized TPFDD plan. LIFTER activates transport assets from an allocation list, and yields a complete logistic plan that minimizes disruption represented by penalties for early, tardy, late, or dropped shipments, and for under-utilization of asset capacity. We use LIFTER to qualitatively assess JFAST heuristic plans. We also link both ILPs in a decomposition-based search for the best deployment plan around the worst-case interdiction, given that the actions of deployer and interdictor are transparent to both parties. We explain how JFAST could be embellished with its own version of ATTACKER. A key discovery here is a gauge of the value of intelligence, deception, and secrecy. / Lieutenant, United States Navy
2

Literature Exploration on the Correlation between Value, Business Model and AI Technology : A Case Study on Urban Green

Lu, Lu January 2020 (has links)
Value has received an increasing focus in business, meanwhile, under the background of industry 4.0, where the intelligent technologies are significantly reshaping the development of business model and accelerating the innovation. Understanding the correlations between value, business model, and intelligent technology can guide practitioners to create new competitiveness. There’re numerous articles concerning business and technology in recent years. However, few studies touch upon the value’s utilization and impact. The primary purpose of this paper is to explore the value concept adoption in business model under the effect of intelligent technology. A systematic literature study is developed in five steps: 1) reviewed abstracts of 392 publications; 2) extracted keywords and mapped terms; 3) analyzed mapping clusters in twofold groups: business and technology; 4) recorded major theories of each paper, analyzed in the corresponding category; 5) corpus analysis in value aspect for a deeper gap study. Furthermore, to illustrate the benefits of the findings, the urban green field is selected for the theoretical application. Urban green is studied by a similar literature study process to prepare for the application. The chosen urban green service - HUGSI is comprehensively analyzed. The primary result demonstrates the gap in value compared to business and technology, the barrier of systematically and equally handling value. The paper explores the status of existing studies related to the three areas, maps the inner correlations and points out the lack of focus on value. The result serves as a base for further literature study, contributing to a shift from business or technology-focused to value-focused in both theory and practice. / Värde har fått ett ökat fokus inom business, medan under bakgrunden av industry 4.0, där intelligent teknologi tydligt omskapar utvecklandet av affärsmodellen och påskyndar innovation. Att förstå sambanden mellan värde, affärsmodellen och intelligent teknologi kan vägleda verksamma att skapa nya konkurrensfördelar. Flera artiklar gällande business och intelligent teknologi har uppkommit på senare år. Dock, har endast ett fåtal studier diskuterat värdets användning och påverkan. Det huvudsakliga målet med denna uppsats är att utforska värdekonceptsadapteringen i affärsmodellen under effekten av intelligent teknologi. En systematisk litteraturstudie är utvecklad i fem steg: 1) recenserade abstrakt av 392 publikationer 2) extraherade nyckelord och ”mapped” terminologi 3) Analyserade mapping kluster i tvådelade grupper: business och teknologi 4) noterade stora teorier för varje papper, analyserade i korresponderande kategori 5) ’corpus analysis’ i värdeaspekten för en djupare förståelse. Ytterligare, för att illustrera fördelarna med resultatet, är ’Urban green field’ valt för den teoretiska appliceringen. Urban green är studerat av en liknande litterär studieprocess för att förbereda för appliceringen. Den valda Urban green service - HUGSI är övergripande analyserad. Dess primära resultat demonstrerar glappet i värde jämfört med business och teknologi, barriären av att systematiskt och likvärdigt hantera värde. Uppsatsen utforskar statusen av existerande studier relaterade till dem tre områdena, kartlägger de inre sambanden och utpekar bristen av fokus på värde. Resultatet representerar en bas för framtida litterära studier, bidragande till ett skift från business eller teknologi-fokuserat till värdefokuserat i både teori och praktik.

Page generated in 0.1155 seconds