Faculty of Business, Economics and Statistics

Department of Business Administration

Chair of Production and Operations Management
(Lehrstuhl für Produktion und Logistik)
o. Univ.-Prof. Dipl.-Ing. Dr. Richard F. Hartl

 040438 KFK PM/SCM/TL: 

 Supply Chain Management (E)
8 ECTS points

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Lecturer

Dates & Places

  • Monday 09:45-11:15 HS 8, 13:15-14:45 HS 9 
  • Starting on 5 October, 2015

Secretary 

Alexandra Ederer


Language of Instruction

English

Course Descripton

    Supply Chain Management (SCM) is the efficient management of the set of often autonomous parties involved in the design of new products and services, procuring raw materials, transforming them into semifinished and finished products, and delivery to the end customer.  This course is the base module for the Supply Chain Management specialization (KFK) and is recommended to be taken prior to other modules of the KFK. 

      Overview

      Introduction (Supply Chain Matrix, Pull/Push View, Strategic Fit, Capabilities,
      Drivers and Metrics, Supply Chain Integration)
      Newsvendor revisited and extended
      Forecasting Demand
      Economies of Scale (The Role of Cycle Inventory, Exploit Fixed Costs, Exploit Quantity Discounts)
      Short term discounting: Trade Promotions, Safety Inventory,
      The Bullwhip effect and Value of Information, Beer Game
      Contracts (Buy-back contracts, Revenue Sharing Contracts),
      Risk Pooling to Reduce and Hedge uncertainty
      Smart Pricing and Revenue Management (Overbooking)
      Designing the Supply Chain Network (Distribution Networks, Facility and Capacity Allocation, Offshoring)
      Designing and Planning Transportation Networks (Transportation Infrastructure and Policies, Milk runs)
      Presentation of Term project

      For the excel based homework (Forecasting Demand) an introductory tutorial
      is offered at the beginning of the semester.
      Two tutorials are offered (one in English/one in German)
      Content of the tutorial: general introduction in excel and excel solver, preparation for the homework (Forecasting demand)
      Note: only the homework forecasting demand is based on excel, the other examples can be solved by using paper and pencil.

        Evaluation

        •   A total of 100% can be obtained by:

          - homework assignments (20%; students MUST be present in class and prepared to present the exercises in class upon request)

          - a term project performed in groups of 2 students (5% for the written part; 5% for the oral presentation in class)

          - a written midterm exam (30%; no course material allowed)

          - a written final exam (40%; no course material allowed)


            Literature

            • Chopra, S., Meindl, P. (2010), Supply Chain Management, 5th edition, Prentice Hall
            • Simchi-Levi, Kaminsky, P., Simchi-Levi, E. (2008), Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies, 3rd edition, McGraw-Hill
            • Cachon, G., Terwiesch, C. (2009), Matching Supply with Demand, 3rd edition, McGraw-Hill

            Course Materials

            ...available on the Moodle e-learning platform.

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