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Course module: 202000407
202000407
Demand Supply Planning and Inventory Management
Course info
Course module202000407
Credits (ECTS)3
Course typeStudy Unit
Language of instructionEnglish
Contact persondr. M.C. van der Heijden
E-mailm.c.vanderheijden@utwente.nl
Lecturer(s)
Contactperson for the course
dr. M.C. van der Heijden
Examiner
dr. M.C. van der Heijden
Academic year2022
Starting block
2B
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Aims
Demand and supply planning (DSP): after successful completion of this part, the student is able to:
  • select the most appropriate techniques for the short-term demand forecasting and apply them to a data set
  • plan the various required activities in a supply chain on an aggregate level using quantitative models
  • coordinate the sales including promotions and the operations in a supply chain using quantitative models

Inventory management (IM): after successful completion of this part, the student is able to:
  • classify the various types of inventories, choose and apply the appropriate quantitative models for inventory management, and analyze the impact of key input variables
  • explain at a conceptual level how the inventory management for multiple items, as well as for multiple site settings are interrelated (including the bullwhip effect)
Content

Demand and supply planning and coordination (DSP) in supply chain
  • Demand forecasting: focus on short-term forecasting methods. Differentiation between the forecasting methods of slow-moving and fast-moving items.
  • Aggregate planning, and sales and operations planning and coordination in a supply chain. Note that an introduction to aggregate planning is given in TBK M2: OM. This part will be treated here in more depth

Inventory management (IM) in a supply chain
Inventory classifications ABC and functional classification. Managing uncertainty in inventory: service levels, e.g., fillrate and stockout probability, periodic/continuous review, safety stocks (including the impact of aggregation), fixed and variable lot sizes, shortage cost models, single period problems “newsboy problem”, multi-item coordination in a single site case.
Assumed previous knowledge
Random variables mean, variance, and standard deviation. Continuous Probability distributions: normal and gamma. Discrete distributions. Statistics. Conditional probability, and conditional variance (Probability and statistics in Module 4). The conditional variance is explained in the same quarter. This is taken into account in the timing between SCM content and the statistics and math.
Module
Module 4
Participating study
Bachelor Industrial Engineering and Management
Required materials
Book
Strategy, Planning and Operations, Sunil Chopra, Peter Meindl, 7th edition, 2019 ISBN-13: 978-1292257891
Recommended materials
-
Instructional modes
Lectorial

Tests
DSP&IM

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Kies de Nederlandse taal