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Engage in active learning, group work, and practical applications of production, delivery, and process management. Explore simulation, forecasting, inventory, and more. Join to experiment, interact, and challenge your thinking!
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My name is ... Kenneth Schultz Office 340G Business Telephone 492-3068 Email klschult
This course is … … a continuation of MGTSC 312 Not ... Mgtsc != Stats
“Traditional” University Course • Class • Come to class (sometimes) • Listen to The Prof (maybe not) • Take notes (perhaps) • Get bored • Study • Read the text (maybe not) • Memorize stuff (wondering why—maybe not) • Write exams • Sometimes multiple choice • Sometimes regurgitation
This course • Class • Come to class, try to follow the lecture, participate • Come to lab/work on your own and try to repeat what was done in lecture • Study • Read the notes/text • Read/post to discussion forums • Do the HWs • Do exams (on-line)
We want you to… • … think with us (lectures, labs) • … interact with us • … take initiative/responsibility • … experiment aggressively • … learn by DOING • This ain’t no sit-back-and-relax, you-pays-your-fees-and-you-gets-your-credits course.
Grade Distribution • Similar to other 3rd / 4th year courses • Your relative mark is what matters
Active Learning • Form groups of two • Whose birthday is earlier in the year? • You’re the recorder • Question: What have you heard about this course? • Time: 1 minute
What is this course about? Production and delivery of … … goods and services • Forecasting • Simulation • Aggregate Planning • Distribution Planning • Inventory Management • Congestion Management
Process Management Information structure Network of Activities and Buffers Inputs Outputs Goods Services Flow units (customers, data, material, cash, etc.) Labor & Capital Resources Another Chart: the “Process View”
Inputs: Customer orders Books, CDs Packing material Outputs Shipped orders Flow units Customer orders Cash Books Resources: Capital: contact centres, warehouses Labor: agents, order-pickers, web programmers Inventory Activities: Order taking, order filling, shipping Process management: Warehouses, inventory, distribution, capacity. Information structure: Transaction data for each order Example: Amazon.Com
Active Learning • In your groups again • Task: fill in as much of the next slide as you can • Time: 2 minutes
Inputs: Outputs: Flow units: Resources: Capital: Labor: Activities: Process management: Information structure: Example: Business School
Do I have to take this course? • Majors that need 352 ASAP • Operations Management • Decision and Information Systems • Distribution Management • Majors that require 352 • Accounting • Business Studies • Finance • International Business • Management Info. Systems • Marketing • Retailing • Majors that do not require 352 • Business Economics and Law • Entrepreneurship and Small Business • Human Resource Management • ______ Studies (language programs) • Organizational Studies
Who are we? • Instructor: Kenneth Schultz • Lab Masters: • Morgan Skowronski • Jen Tyrkalo • Grading: Jared Coulson • Tech Master: Angela Kercher • Lab Accelerators
Kenneth Schultz • Wharton Undergraduate • 12 Years United States Army • Ph.D. 1997, Cornell • Research: Including human behavior in Operations Management models.
Things To Do Before Next Class • Course web • Read the “things to do” pageWINTER 2007 MGTSC 352 LEC B1 > COURSE DOCUMENTS > RESOURCES > GENERAL RESOURCES • Read FAQWINTER 2007 MGTSC 352 LEC B1 > COURSE DOCUMENTS > RESOURCES > GENERAL RESOURCES > FREQUENTLY ASKED QUESTIONS • Get familiar with course web and discussion forums • Read Introduction chapter (Course pack) • Read syllabus Musical Break ... do not leave
Excel Basics • Jan 20, 11 – 1, B24/B28 • Free • Basic Excel skills
Course Packs • $20 • Today, 3-5 in B20 • Wed, 10-12 in B20 • Friday in labs
Model • Selective abstraction of reality • Model airplane • Floor plan of a house • Map of Alberta • Spreadsheet (algebraic) models • Define decision cells (variables) • Express relations between cells (formulas)
Output Inputs Inputs Outputs MODEL Revenue = Quantity x Price
Why model? • Provides a precise and concise problem statement • Establishes what data are necessary for decision • Clarifies relationships between variables • Enables the use of known solution methods • Enables us to generalize knowledge to solve problems we haven’t encountered before, to go beyond experiential learning. Example
Fisheries Management • Lake currently has 1,000 trout • Carrying capacity = 100,000 trout • Fish population expands in May and June • Fishing allowed in September • Trout population at end of August: PAug = PApr + (a – (b PApr)) PApr), a = 0.45, b = a / capacity. • Each fish can be sold for $11 in any year • Discount rate is 6%. • Which policy maximizes the NPV?
Come again? May population = 12,000 August population? PAug = PApr + (a – b PApr) PApr) = ? In your groups! Time: 1 min. b = a / Cap = .45 / 100,000
Come again? May population = 12,000 August population? PAug = PApr + (a – b PApr) PApr) = 12,000 + (0.45 – (0.45 / 100,000 12,000)) 12,000 = 12,000 + (0.396)*12,000 = 16,752 b = a / Cap = .45 / 100,000
Recap • Data • Starting population • Capacity • Growth parameter (a) • Discount rate • Price • Variables: # of fish caught, for every year. • Output: NPV(and fish population every year)