HR: no human-being means no business/Operations: transformation of input to outputoperations management: analyze process and improve process; goal: efficient and effective
(minimize input and maximize output), increase value from a process/in a hospital,
Industry Analysis
BAMG 30900: Craig Crossland
23rd and 25th January 2017
Trivia
General
Groups for assignment
Have until 11:59pm Wednesday (01/25) to let me
know
Groups of five; Can send me incomplete groups
Assignment due Friday 17th February
No sec
BAMG 30900
January 25, 2017
Industry Analysis
The big criticism with the NAICS codes is that it is structured according to
the companys perspective, not the customers perspective.
The Arline Industry
The Historical Airline Industry
Threat of new entrants:
Multiple Regression
Formula used for prediction is y hat = b0 + b1(x1) + b2(x2) + bk(xk). For regression coefficients
in multiple regression, involves matrix algebra, so use computer output to interpret data instead
of calculating values (: (: (:
Calculat
Simple Regression
Prediction about what score should be rather than association between 2 vars.
Regression line summarize linear relationship btwn X & Y, explains how Y changes as observe
changes in X, predict Y from X, so prediction errors made are error
Correlation
Linear association between 2 variables correlation coefficient. rxy or simply r represents corr, is
the standardized covariance measure of covariance between variables wrt standard dev of
each variable, aka use z scores to calculate. See if on
The Strategy
Game
Netflix
1.
What is a primary reason that an organization should
monitor the general environment?
a)
b)
c)
d)
e)
2.
To
To
To
To
To
anticipate concerns and trends
determine the firms internal strengths
determine the firms internal weakness
Rothaermel Chapters
8&9
Corporate Strategy
Learning Objectives
Knowledge of
the broad types of corporate strategies including
concentration and diversification
how corporations can use related diversification to
achieve synergies through economies of sc
Rothaermel Chapter
Three:
External Analysis
Learning Objectives
Understanding of:
Porters Five Forces Model of
Industry Competition
General Environment and the
PESTEL Framework
Porters Five Forces of
Competition
Bargaining Power of Buyers
Bargaining Pow
Rothaermel Chapter
4
Internal Analysis
Learning Objectives
Understanding of:
core competencies and how they affect competitive
advantage
the resource-based view of a firm, including tangible
and intangible resources
the VRIO framework and implications
Dess Chapter 5
Business-Level
Strategy
Learning Objectives
Understanding of:
Generic competitive strategies & their
risks
The implications of stages in the product
life cycle for growth and competitive
strategies
Business-Level
Strategies
Competitive S
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
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
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
(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
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 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
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
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:
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
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
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
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
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
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
ProblemSetSection8.1
InferencesAboutTwo
IndependentMeans:
LargeSamples
1. First Grade Absences: For boys, the average number of absences in the first
grade is 15 with a standard deviation of 7; for girls, the average number of
absences is 10 with a standa
Important Formulas
Confidence interval for variance:
t test for comparing two means (independent samples,
variances not equal)
Confidence interval for standard deviation:
Chapter 3 Data Description
Mean for individual data: X
Chapter 5 Discrete Probabilit