Essays about: "WIP"

Showing result 1 - 5 of 20 essays containing the word WIP.

  1. 1. Using discrete-event simulation to enable implementation of picking and palletizing robots: A case study

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Maja Kfouri; Adan Reimers; [2023]
    Keywords : DES; Palletizer robot; Internal logistics; Goods-receipt; KPI; OEE;

    Abstract : Aim: The study aims to develop a DES model to evaluate the impacts of implementing packaging and palletizing robotics in the goods-receipts process. Research questions: RQ1: “What are the requirements when developing a Discrete Event Simulation (DES) model of the goods receipt process in the internal logistics section of a manufacturing company?”, RQ2: “What is the impact of implementing a new layout with industrial palletizer robotics in manufacturing companies' internal logistics - specifically the goods receipt process in terms of robot Overall Equipment Effectiveness (OEE), throughput, and WIP?” and, RQ3: “What considerations should companies take into account when implementing industrial palletizer robotics in their internal logistics, in terms of process flow?” Methodology: This study applied an inductive approach, letting the empirical findings guide the themes explored in the theoretical framework while having a constant interplay between empirical data collection and the construction of the simulation model. READ MORE

  2. 2. How to Improve a Planning System and Workflow in a Quality Control Laboratory : A Case Study at Fresenius Kabi in Sweden

    University essay from KTH/Industriell ekonomi och organisation (Inst.); KTH/Industriell produktion

    Author : Nejra Eminovic; Rana Tajik; [2021]
    Keywords : Fresenius Kabi; QC; lab efficiency; WFM; planning; scheduling; Fresenius Kabi; QC; effektivitet; WFM; planering; schemaläggning;

    Abstract : Laboratories within quality control are very complicated to schedule due to the high product mix and diversified products tested with many different analysts and instruments. Thus, it requires a flexible planning system to change and improve the overall lab performance and increase efficiency. READ MORE

  3. 3. Simulation of Assembly cell : Simulation based evaluation of automation solutions in an assembly cell

    University essay from Jönköping University/JTH, Industriell produktutveckling, produktion och design

    Author : Carolina Ames Zegarra; Ananthan Indukaladharan; [2021]
    Keywords : Automation; robots; discrete event simulation; decision-making;

    Abstract : Purpose:The primary purpose of the current thesis is to develop a virtual model using discrete event simulation (DES), which aims at supporting the decision-making process regarding automation solution proposals for SMEs.  Method:The research approach is positivism, and it considers quantitative and empirical information. READ MORE

  4. 4. Configuration of an electronic Kanban board for planning analysis activities at an industrial laboratory

    University essay from KTH/Industriell produktion

    Author : Elin Andersson; Johanna Linda Nugin; [2020]
    Keywords : Kanban; electronic Kanban; Lean; WIP;

    Abstract : To improve productivity, it is important that the right product is produced in the right quantity when that product is needed. Kanban is a way to signalise the need for material and its main aspect is that it pulls materials through the processes only when needed. Kanban can therefore help reduce Work In Progress (WIP). READ MORE

  5. 5. Stuck state avoidance through PID estimation training of Q-learning agent

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

    Author : Johan Moritz; Albin Winkelmann; [2019]
    Keywords : Q-learning; QL; PID; wheeled inverted pendulum; WIP; reinforcement learning; estimation training; Q-learning; QL; PID; självbalanserande robot; reinforcement learning; estimeringsträning;

    Abstract : Reinforcement learning is conceptually based on an agent learning through interaction with its environment. This trial-and-error learning method makes the process prone to situations in which the agent is stuck in a dead-end, from which it cannot keep learning. READ MORE