BAMG 30700 Introduction to Process Analytics
Study Guide (Exam One)
1. Conceptual Questions
Forecasting
1) Characteristics of Forecasting
2) Whats the difference between qualitative and quantitative forecasting? Whats the value
of each? Shortcomings of ea

(Queuing system example) The Billing Service Center of a retailer receives customer phone
calls via the 1-800 number about invoice problems every 2 minutes, on average, and the
standard deviation of the inter-arrival time is also 2 minutes. The retailer h

OM Explorer
Solver - Project Management: Single Time Estimate
This general-purpose solver prepares a slack report and a schedule of the activities that must be performed to complete
a project. The project must be specified as a list of activities with pre

Q17: Continuous review system.
a. Economic order quantity
EOQ= 2 DS/ H= 2 ( 20,000 ) (40)/2=894
Time between orders (TBO) = Q/D = 894/20,000 = 0.0447 years = 2.32 weeks
b. Weekly demand = 20,000/52 = 385 units
For a 95% cycle-service level, z = 1.65
Safet

Prof. Jerry Wei
BAMG 30700 Intro. To Process Analytics
Homework Assignment (HW1), Due date: 9/7/2015, topics: Project Mgt. & Inventory
Due: Each Team (no more than 2 persons) should submit one hardcopy report and
printouts (organized, stapled) in class. C

Additional Examples about Managing a Waiting System
(1) There are 10 kiosks at Frontier Airlines for passengers to check-in. On one Saturday morning, the
inter-arrival time of passengers is 25 seconds and the processing time is 200 seconds. The CVs for
th

DATE:
September 3, 2015
FROM:
Diego Bolanos, Dhawal Deota, Daniel Morden, Manik Vaish
TO:
Professor Sean Handley, Process Analytics Section 1
SUBJECT:
BURTON GROUP HOSPITAL CASE
BACKGROUND
The Burton Group of Hospitals in downtown Minneapolis has a patien

Module 2: Buy It
Quantitative Demand Forecasting I
Mei Li, PhD
Assistant Professor
Department of Management
Goals
Understand the critical role of forecasting
Compare and contrast different forecasting methods
Acquire a few quick and simple forecasting
tec

Module 2: Buy It Quantitative
Demand Forecasting II
Mei Li, PhD
Assistant Professor
Department of Management
End of Day 1
Things we covered:
Importance of Forecasting
Overview of forecasting techniques & methods
Moving Average Forecast
Measure forecasting

Module 2: Buy It Qualitative
Demand Forecasting
Mei Li, PhD
Assistant Professor
Department of Management
End of Day 2
Things we covered:
Moving Average Forecast Model
Exponential Smoothing Forecast Model
Exponential Smoothing with Trend
Exponential Smooth

1. 2-Period Moving Average Model
Week Of
Pints Used Moving Average Forecast
August 31st
360
September 7th
389
September 14th
410
374.5
September 21st
381
399.5
September 28th
368
395.5
October 5th
374
374.5
October 12th
371
October 19th
371
Bias
MAD
COMBO

Practice Problem for Forecasting
1. Based on Hard Rock Caf date below, forecast with two periods moving average, exponential
smoothing (using two-period moving average method to forecast for month 3, use alpha value
of .05), exponential smoothing with tre

BAMG 30700 - Introduction to Process Analytics
Spring 2015
Basic Course Information
Meeting Times and Locations
Section 1: DeBartolo Hall 312; Tuesday & Thursday, 9:30am-10:45am
Section 2: DeBartolo Hall 312; Tuesday & Thursday, 11:00am-12:15pm
Section 3:

1
Module 03
PART 1: MANUFACTURING STRATEGIES
INTRO
Quantitative Forecasting
BUY IT
Qualitative Forecasting
3
Module 03
PART 1: MANUFACTURING STRATEGIES
Goals
Compare and Contrast Three Manufacturing
Strategies
Detect Problems Associated with Bad
Productio

Module 03: BUY IT
PART 2 : LINE BALANCING AND CAPACITY ISSUES
End of Day 1
Things we covered:
Three types of manufacturing strategy
Observed a poorly designed production line
Goals
Appreciate the importance of line balancing
Learn line balancing techniqu