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Courses

  • Methods Engineering (40104)
    • תקציר הקורס:

    Abstract:

    A theoretical framework for measuring work and improving methods will be presented in the course. Additionally, various aspects of efficient execution of activities will be discussed, such as planning how the work will be performed, planning the workstation, and analyzing the environment.
  • Operations Management1 (40132)
    • תקציר הקורס:

    Abstract:

    Every organization uses resource i?nputs of labor, materials, parts and tools to perform added value activities for generating/creating its product and/or services. The supply and use of these i?nputs and these added value activities are termed “operations”. Operations management exists in every organization. The output is, basically, a physical product or service provided, or both, product and service. Different mathematical models, solution techniques, measures of efficiency, and methods of follow-up are used in planning the operations of production facilities and of service organizations. Selected part of these models and methods will be presented, analyzed and discussed. The main topics covered by this course: Forecasting, aggregate planning, master production scheduling, material requirements planning and lot sizing, inventory management: deterministic and and stochastic; one period, multiple periods, and infinite horizon; heuristics and strict optimization.
  • Operations Management2 (40133)
    • תקציר הקורס:

    Abstract:

    The main course subjects are:

    1. Production disciplines (mass-production, flowshop, group-technology (GT), batch processing, job-shop).

    Approaches of linear flow planning methods: Kanban, ConWIP, DBR.

    2. Line balancing for a single model

    3. Line balancing for multi-model line.

    4. Group Technology (GT)

    5. Single machine scheduling

    6. Scheduling on two and three machines

    7. Flowshop scheduling

    8. Jobshop scheduling

    9. Routing materials and products on the shopfloor
  • Statistical Methods in Data Analysis (40229)
    • תקציר הקורס:

    Abstract:

    The course includes advanced statistical models for analyzing research data - Regression, ANOVA, and non-parametrical models
  • Supply Chain Management (40259)
    • תקציר הקורס:

    Abstract:

    The course includes the study and knowledge of different stages in Supply Chains, inventory management, from data management via advanced forecasting methods, choosing the right inventory management method and inventory system operational indicators & quality measurements.

     The study starts from a single storage echelon through two storage echelons which include logistic center and branches, and complete supply chain.