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Showing result 1 - 5 of 11 essays matching the above criteria.

1. 1. Artificial Intelligence as a Catalyst for Supply Chain Resilience: A Qualitative Study Comparing Scania and Volvo in the Construction Equipment Industry

   University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

   Author : Aymen Safi; Ramak Amyari Khamneh; [2023]
   Keywords : Artificial Intelligence AI ; Supply Chain Resilience; Construction Equipment Industry; Disruptions; Agility; Redundancy;

   Abstract : Abstract  Date: 2023-05-30 Level: Master thesis in Business Administration, 15 cr  Institution: School of Business, Society and Engineering, Mälardalen University  Authors: Ramak Amyari Khamneh (84/01/29), Aymen Safi (00/03/27) Title: Artificial Intelligence as a Catalyst for Supply Chain Resilience: A Qualitative Study Comparing Scania and Volvo in the Construction Equipment Industry Supervisor: Emre Yildiz Keywords: Artificial Intelligence (AI), Supply Chain Resilience, Construction Equipment Industry, Disruptions, Agility, Redundancy Research question: How do Scania and Volvo interpret and implement Artificial Intelligence (AI) technologies to enhance supply chain resilience and mitigate disruptions in the construction equipment industry? Purpose: The purpose of this master thesis is to investigate how Scania and Volvo interpret and implement AI technologies to enhance supply chain resilience and mitigate disruptions in the construction equipment industry. Method: Qualitative Conclusion: The conclusion of the master thesis is that Scania and Volvo have successfully implemented AI technologies to enhance supply chain resilience in the construction equipment industry, despite challenges, and see AI as a critical component for future supply chain strategies. READ MORE

3. 2. Artificial intelligence as a decision support system in property development and facility management

   University essay from Högskolan i Borås/Akademin för textil, teknik och ekonomi

   Author : Andreas Berggren; Martin Gunnarsson; Johannes Wallin; [2021]
   Keywords : artificial intelligence; property development; facility management; decision support system; machine learning; risk analysis; market analysis; risk matrices; AI health care planning; process mapping; artificiell intelligens; fastighetsutveckling; fastighetsförvaltning; riskanalys; marknadsanalys; beslutsstödssystem; maskininlärning; riskmatris; AI-vårdplanering; processkartläggning;

   Abstract : The construction industry has been hesitant for a long time to apply new technologies. In property development, the industry relies heavily on employees bringing experience from one project to another. These employees learn to manage risks in connection with the acquisition of land, but when these people retire, the knowledge disappears. READ MORE

4. 3. Using KPIs in decision-making tools in the construction industry

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Nathalie Hedin; Adrian Zander; [2019]
   Keywords : Business Intelligence; BI; Decision Support System; DSS; Key Performance Indicator; KPI; Visualization; Construction Industry; Dashboard; Business Intelligence; BI; DSS; Beslutsstödssystem; Nyckeltal; KPI; Visualisering; Byggbransch; Hantverksbransch; Dashboard.;

   Abstract : The construction industry has a great opportunity to streamline its operations even more by making greater use of the digital revolution. The industry today uses a lot of manual data management and analysis to get an overview of the business and to make decisions. READ MORE

5. 4. Integrate Business Intelligence into a Web Application

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Maria Ravander; Yuchen Che; [2019]
   Keywords : Business Intelligence; BI; Microsoft Power BI; construction industry; Dashboard; Beslutsstödsystem; BI; Business Intelligence; Microsoft Power BI; Dashboard; Byggbransch;

   Abstract : Today, the construction industry handles and analyzes a lot of data manually. This can be a very time-consuming process that could be improved by introducing Business Intelligence (BI). BI is a technology that could visualize the current status of a company automatically, with the help of Key Performance Indicators (KPIs). READ MORE

6. 5. Decide for the future by looking back: The perceived impact of predictive analytics to support decision making in the construction industry

   University essay from Lunds universitet/Institutionen för informatik

   Author : Johan Uppström; Daniel Nordh; [2018]
   Keywords : Predictive analytics; Business intelligence; Construction industry; Decision making process; Decisions; Business and Economics;

   Abstract : Based on data from the past, predictive analytics can give a competitive advantage for companies when it is used to forecast the future. Specifically, predictive analytics can be used to aid decision makers in strategic planning. READ MORE