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2014/2015  KAN-CCMVI2004U  Decision-making models and tools for operations management and supply chain

English Title
Decision-making models and tools for operations management and supply chain

Course information
Language English
Course ECTS 7.5 ECTS
Type Elective
Level Full Degree Master
Duration Summer
Course period Summer
Timetable Course schedule will be posted at calendar.cbs.dk
Study board
Study Board for MSc in Economics and Business Administration
Course coordinator
  • Course instructor - Dr. Rene Ordonez, Southern Oregon University
    Patricia Plackett - MPP
Main academic disciplines
  • Supply Chain Management and Logistics
  • Statistics and mathematics
Last updated on 02-07-2014
Learning objectives
Upon the successful completion of this course, a student should be able to:
  • Demonstrate a broad comprehension of how an effective operations and supply chain management analytical and decision-making process can provide a competitive advantage in the marketplace.
  • Recognize what operations and supply chain management models apply to specific decision-making situations in the field of OMSCM
  • Apply the appropriate analytical and problem-solving tools in decision-making situations in this field.
  • Learn the variety of quantitative and technology-based models and tools applicable to various OMSCM decision making problems and situations.
  • Learn how to optimize the utility of Excel as a tool or aid in problem-solving and decision-making.
Course prerequisites
Recommended: Understanding of basic statistical concepts, algebra, and computer application (mainly working knowledge of Excel)
Prerequisites for registering for the exam
Number of mandatory activities: 1
Compulsory assignments (assessed approved/not approved)
Mandatory Mid-term Assignment: This assignment will involve a problem-based objective quiz administered on LEARN.
Examination
4-hours written exam:
Exam ECTS 7,5
Examination form Written sit-in exam
Individual or group exam Individual
Assignment type Written assignment
Duration 4 hours
Grading scale 7-step scale
Examiner(s) One internal examiner
Exam period Summer Term
Aids allowed to bring to the exam Limited aids, see the list below and the exam plan/guidelines for further information:
  • Additional allowed aids
  • Allowed calculators
  • Allowed dictionaries
  • Books and compendia brought by the examinee
  • Notes brought by the examinee
Make-up exam/re-exam
Same examination form as the ordinary exam
If the number of registered candidates for the make-up examination/re-take examination warrants that it may most appropriately be held as an oral examination, the programme office will inform the students that the make-up examination/re-take examination will be held as an oral examination instead.
Description of the exam procedure
Exam aids for 4-hour written exams: Books, printed articles and notes, calculators, electronic files/USBs, Two Excel Files: Interactive Statistical Template in Excel (created by Prof. Rene Ordonez) Excel-based Models for OMSC (created by Prof. Rene Ordonez) and language dictionaries.
Course content and structure

This course is designed and created to expose students specializing in operations management and in supply chain management (OMSCM) to a variety of decision-making tools and models so that they may be able to apply them confidently and appropriately in the various areas of operations management and supply chain management. Non-OMSCM students who are not specializing in operations management and supply chain management may also find these decision-making tools and models applicable in their respective fields of study.
 
The general goal of the course is to further develop the students’ problem-solving and analytical skills so that they will be able to utilize these skills in carrying out their responsibilities in workplace settings. Students who are engaged in consulting work will benefit from taking the course because it will give them an arsenal of decision-making tools, as well as giving them an opportunity to learn how to develop their own tools for use in in assisting their clients.
 
Topics that will be covered in the class will include:
 
 

  • Forecasting Techniques
  • Quality Assurance, Six-Sigma, Statistical Process Control
  • Capacity Analysis (focus on breakeven analysis)
  • Inventory Management
  • Learning Curves Theory
  • Waiting Lines (Queuing Theory)
  • Project Management (focus on PERT/CPM)
  • Linear Programming, Assignment and Transportation Models
  • Decision Theory

 
This course will include a Preliminary Assignment as well as a Mandatory Mid-term Assignment. Both assignments will be in the form of problem-based objective 2-hour quiz to be administered via LEARN on specified course materials.
 
The course is designed to meet and satisfy the learning standards on quantitative analysis required by international business schools accrediting bodies such as the Association to Advance Collegiate Schools of Business (AACSB) and the Accrediting Council for Business Schools and Programs (ACBSP).

 
Class Schedule
 

Class Topic
Class 1 Introduction, Overview of OMSCM, Review of Basic Statistics (Normal Distribution)
Class 2 Forecasting Techniques
Class 3 Decision Theory
Preliminary Assignment
Class 4 Capacity Analysis – Emphasis on Breakeven Analysis
Class 5 Learning Curves Theory
Mandatory Mid-term Assignment
Class 6 Inventory Management
Class 7 Project Management
Class 8 Waiting Lines Theory
Class 9 Linear Programming, Assignment and Transportation Models
Class 10 Quality Assurance, Six-sigma Quality, Statistical Process Control
Class 11 Comprehensive Review
 

Preliminary Assignment
To help students get maximum value from ISUP courses, instructors provide a reading or a small number of readings or video clips to be read or viewed before the start of classes with a related task scheduled for class 3 in order to 'jump-start' the learning process.
Teaching methods
The delivery of the course will be via a combination of lectures, problem solving, and case analysis. Lectures will focus on discussing the mechanics of the quantitative approaches to the various OMSCM quantitative decision-making tools. Computer software, mainly Excel, will be used in solving OM-based problems. Situational and applied cases, where the OM decision-making tools are applied, will be explored in the class. In addition to lectures and cases, students will be expected to read the assigned material, view the supplemental video lessons, and work on assigned cases and problems outside of class.

Essentially, the learning environment will follow the Confucian learning philosophy: “Tell Me and I Will Forget; Show Me and I May Remember; Involve Me and I Will Understand”
The OMSCM material will be presented via a variety of teaching approaches and learning modes including lectures, demos, homework on computer-based exercises, and class discussions of assigned problems and readings. When possible, a cooperative, student-centered learning approach will be utilized to enable a high level of student involvement and interaction.
A computer software, mainly Excel, will be used in solving operations and supply chain-related scenarios and problems. An Excel-based OM/SC set of models developed by the instructor will be used as a class supplement.

The delivery of the course will be via a combination of lectures, problem solving, and case analysis. Lectures will focus on discussing the mechanics of the quantitative approaches to the various OMSC quantitative decision-making tools. Computer software, mainly Excel, will be used in solving OM-based problems. Situational and applied cases, where the OM decision-making tools are applied, will be explored in the class. In addition to lectures and cases, students will be expected to read the assigned material, view the supplemental video lessons, and work on assigned cases and problems outside of class.
(Continue below)
Further Information
A set of Excel-based decision models (by Dr. Ordonez) that are specific to operations management and supply chain, along with an interactive statistical template in Excel (developed by Dr. Ordonez), will be used as a class supplement. Additionally, students will learn the process of developing Excel-based OMSC models. Digitized lectures (e.g. digitally recorded computer-based lectures and demos) on OM concepts and problems will also be made available to students to further enhance learning.
Expected literature

Managing Operations Across the Supply Chain, Swink et. al, Second Edition (2013), McGraw-Hill (640 pages) ISBN 9781259060908.

(Note: ISBN  for the internation edition of this textbook may be different. The international edition may be used)
  
 
Last updated on 02-07-2014