Essays about: "Enterprise Resource Planning"

Showing result 6 - 10 of 140 essays containing the words Enterprise Resource Planning.

  1. 6. Causes of and solutions to reduce excess material in production processes : A study of electrical motors and generators at ABB Machines

    University essay from Linköpings universitet/Industriell miljöteknik

    Author : Wilma Fager; Hanna Engberg; [2023]
    Keywords : Excess material; investigation; production processes; reduce; material usage; minimize; components;

    Abstract : This thesis focus on the investigation of material usage in the production processes of electrical motors and generators at ABB Machines, a company based in Västerås, Sweden. The study aims to understand the reasons for the occurrence of excess material after the assembly of a motor or generator and explore possible solutions to minimize its occurrence. READ MORE

  2. 7. Contextualizing Customer Feedback: A Research-through-Design Approach - Alternative Approaches and Dialogical Engagement in Survey Design

    University essay from Uppsala universitet/Människa-datorinteraktion

    Author : Rasmus Svensson; [2023]
    Keywords : Human-Computer Interaction; Research-through-Design RtD ; Digital Service Design; Enterprise Resource Planning ERP systems; Invoicing; Customer Experience CX ; Customer Satisfaction CS ; Contextualization; Dialogical Approach; Customer Journey; Survey design; Questionnaire design; Net Promoter Score NPS ; Customer Satisfaction Score CSAT ; Customer Effort Score CES ; Chatbot; Virtual Agent; Customer Support Agent; Design Guidelines; Double Diamond; User Experience UX ; User Interface UI ; Interaction Design ID ;

    Abstract : Providing context behind customer feedback remains a challenge for company’s who rely on approaching Customer Experience (CX) through standardized Customer Satisfaction (CS) metrics like Net Promoter Score (NPS), Customer Satisfaction Score (CSAT), and Customer Effort Score (CES). Practical guidelines for monitoring CS throughout the customer journey are limited, creating a gap in academic research. READ MORE

  3. 8. Purchasing and Digitalization in an era of Turbulence

    University essay from Lunds universitet/Teknisk logistik

    Author : Emil Sarajlic; Vishal Natesan; [2023]
    Keywords : Supplying; digitisation; digitalization; Artificial Intelligence; Turbulence; Delivery performance; Duni Group; Technology and Engineering;

    Abstract : Background: This research delves into the uncertainties and challenges encountered in global supply chain operations, exacerbated by unpredictable events such as the COVID-19 pandemic and the 2021 Suez Canal obstruction. These disruptions can lead to stock-outs, poor capacity utilization, and the need for expensive buffers. READ MORE

  4. 9. Machine Learning Algorithms to Predict Cost Account Codes in an ERP System : An Exploratory Case Study

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Alexander Wirdemo; [2023]
    Keywords : Artificial Intelligence; Machine Learning; ERP; invoice automation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor; Artificiell Intelligens; maskinlärning; ERP; fakturaautomation; RPA; Random forest; Naïve Bayes; k-Nearest Neighbor;

    Abstract : This study aimed to investigate how Machine Learning (ML) algorithms can be used to predict the cost account code to be used when handling invoices in an Enterprise Resource Planning (ERP) system commonly found in the Swedish public sector. This implied testing which one of the tested algorithms that performs the best and what criteria that need to be met in order to perform the best. READ MORE

  5. 10. Integrating IoT digital technologies with LCA analysis at SMEs

    University essay from KTH/Produktionsutveckling

    Author : Kamesh Subramanian; Suganya Senthil Kumar; [2023]
    Keywords : ;

    Abstract : Analyzing the environmental impacts of products and processes has evolved into a standard practice through the utilization of Life Cycle Assessment (LCA). However, assessments of carbon footprints frequently encompass uncertainties stemming from challenges in accurately measuring emission factors and obtaining dependable data, processes which can be both intricate and time-consuming. READ MORE