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Förbättra arbetssätten på ett litet It-företag / Improve the work procedures in a small IT companyBlom, Sara January 2018 (has links)
The purpose of the thesis work is to map, explain, propose and follow up on solutions to quality problems in a small growing IT company in an attempt to reduce or completely eliminate costs of poor quality. The report includes theory of change management, process and quality management, process maturity, agile methods, characteristic features for IT companies, DMAIC project tool and challenges for growing companies. It is a case study that is based predominantly on qualitative primary data. Data has been collected using a customer survey, as well as observations and interviews with employees and management. The result shows that the organization is struggling with quality problems. The problems look slightly different depending on which department is being reviewed. In the development department, which works with large projects over a long period of time, the main problem is lack of complete customer requirement specifications. At the Operations Department the main problem is that they are unable to test according to needs. Cunclusions to be drawn is that there are quality deficiencies related to testing and requirements specification within the IT company. Part of the reasons behind the problems is the lack of structure and follow-up. Three action plans have been drawn up to address the problems. A follow-up plan has also been created, which includes both follow-up of statistical data and feedback from employees and customers. / Syftet med examensarbetet är att kartlägga, förklara, föreslå och följa upp lösningar på kvalitetsproblem inom ett litet växande It-företag, i ett försök att få kvalitetsbristkostnader att minska eller helt försvinna. I rapporten innefattas teori om förändringsledning, process- och kvalitetsledning, processmognad, agila arbetssätt, karaktäristiska drag för It-företag, projektverktyget DMAIC samt utmaningar för växande företag. Rapporten är en fallstudie som till övervägande del består av kvalitativa primära data. Data samlas in med hjälp av en kundenkät, samt observationer och intervjuer med medarbetare och ledning. Resultatet visar att organisationen brottas med kvalitetsproblem, som innebär att värdefull tid läggs på att arbeta med saker som inte hade behövts om de gjort rätt från början. Problemen ser något annorlunda ut beroende på vilken avdelning som granskas. På utvecklingsavdelningen, som arbetar med stora projekt över lång tid är det framför allt bristande kravspecifikationer från kunderna som är bekymret. På driftsavdelningen är den främsta problematiken att de inte hinner med att testa så som de hade önskat. Slutsatser som kan dras är att det inom det studerade It-företaget finns kvalitetsbristkostnader relaterade till testning och kravspecificering. En del av orsakerna som ligger bakom problemen är bristen på struktur och uppföljning. Tre handlingsplaner har upprättats för att komma till rätta med problemen. En uppföljningsplan är också skapad, som innefattar både uppföljning av statistisk och återkoppling från medarbetare och kunder.
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Improvement on the sales forecast accuracy for a fast growing company by the best combination of historical data usage and clients segmentationBurgada Muñoz, Santiago 29 October 2014 (has links)
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Previous issue date: 2014-10-29 / Industrial companies in developing countries are facing rapid growths, and this requires having in place the best organizational processes to cope with the market demand. Sales forecasting, as a tool aligned with the general strategy of the company, needs to be as much accurate as possible, in order to achieve the sales targets by making available the right information for purchasing, planning and control of production areas, and finally attending in time and form the demand generated. The present dissertation uses a single case study from the subsidiary of an international explosives company based in Brazil, Maxam, experiencing high growth in sales, and therefore facing the challenge to adequate its structure and processes properly for the rapid growth expected. Diverse sales forecast techniques have been analyzed to compare the actual monthly sales forecast, based on the sales force representatives’ market knowledge, with forecasts based on the analysis of historical sales data. The dissertation findings show how the combination of both qualitative and quantitative forecasts, by the creation of a combined forecast that considers both client´s demand knowledge from the sales workforce with time series analysis, leads to the improvement on the accuracy of the company´s sales forecast.
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