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Showing result 1 - 5 of 23 essays matching the above criteria.

  1. 1. Optimizing within the Supply Chain: A Mathematical Model for Inventory Optimization with respect to Demand Planning

    University essay from KTH/Matematisk statistik

    Author : William Bork; Martynas Giedraitis; [2023]
    Keywords : Inventory model; ”Fast Moving Consumer Goods-company” FMCG-company ; Reorder point; Order quantity; ”Software as a Service-Company”; EOQ-model; R; Q -model; Forecast; Holt-Winters model; Inventory model; ”Fast Moving Consumer Goods-company” FMCG-company ; Reorder point; Order quantity; ”Software as a Service-Company”; EOQ-model; R; Q -model; Forecast; Holt-Winters model;

    Abstract : This thesis examines how to design a mathematical inventory model for a ”Fast Moving Consumer Goods”-company (FMCG-company), which determines the optimal reorder point and order quantity such that the average inventory cost is minimized. The thesis was made in collaboration with a ”Software as a Service”- company which provided the data containing information about the products and inventory management of one of their customers, a FMCG-company. READ MORE

  3. 2. Riskfaktorer för Strongylus vulgaris – en enkätstudie

    University essay from SLU/Dept. of Clinical Sciences

    Author : Jessica Lernå; [2023]
    Keywords : Strongylus vulgaris; blodmask; stor blodmask; häst; avmaskning; riskfaktorer;

    Abstract : I stort sett exponeras alla betande hästar för endoparasiter någon gång under sin levnad. Strongylus vulgaris, en av hästens stora blodmaskar, anses vara den hästparasit som är mest patogen och kan orsaka skador som är direkt fatala. Strongylus vulgaris har en fekal-oral livscykel som tar cirka sex till sju månader att fullborda. READ MORE

  4. 3. Balancing Demand and Supply Planning in the Food Supply Chain : Insights from a Dairy Industry Case Study

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Jennifer Laktena; [2023]
    Keywords : Food Supply Chain; Demand Management Demand Planning; Supply Planning; Forecast; Promotion activities; Livsmedelsförsörjningskedjan; Efterfrågehantering; Efterfrågeplanering; Försörjningsplanering; Prognos; Kampanj;

    Abstract : Globalization and increasing demand for a variety of food products have contributed to challenges within the food industry (Zhu et al, 2018). The Food Supply Chain, FSC, involves several processes from production to distribution, involving actors from all the different steps in the network (Rohmer et al., 2018). READ MORE

  5. 4. Computer-Aided Characterization of Lung - Segmentation and Vessel Tree Analysis Algorithms for Clinical Research Applications

    University essay from KTH/Fysik

    Author : Daniel Karoumi; [2023]
    Keywords : Lung; lung segmentation; NSIP; IPF; lung vessels; lung morphometry; 3D Slicer; Lunga; lungsegmentering; NSIP; IPF; lungkärl; lung morfometri; 3D Slicer;

    Abstract : The initial stage of a lung examination involves the segmentation of a CT image, a process that has been put under a lot of pressure with the high demand for chest scans and accurate segmentations. Current automatic segmentation algorithms are either non-robust for different datasets, not easily accessible, or time-consuming. READ MORE

  6. 5. Stochastic Lateral Transshipment within the Fast Fashion Industry

    University essay from KTH/Matematik (Inst.)

    Author : Linnéa Andersson; [2022]
    Keywords : Degree Project; Fast Fashion; H M; Lateral Transshipment; Linear Optimization; Master’s Thesis; Recourse Problem; Retail; Sample Average Approximation; Stochastic Optimization; Transshipment; Two-Stage Recourse Problem; Detaljhandel; H M; Lagerflyttar; Lagerhantering; Linjär optimering; Masters Examensarbete; Mode; Optimering; Snabbt mode; Stokastisk optimering; Transportproblem;

    Abstract : In an industry with highly variable demand and a fickle customer demanding a fast changing supply, quickly responding to the customer becomes crucial for the fast fashion retailer. Using lateral transshipment, one is able to reorganize supply within an echelon of the supply chain to quickly respond to the forecasted demand by looking at shorter more accurate forecasts and act accordingly. READ MORE