LOGISTICS OUTSOURCING AND 3PL SELECTION: A CASE
STUDY IN AN AUTOMOTIVE SUPPLY CHAIN
Hakan GL a and Blent ATAY b,*
a
*
Deloitte Management Consulting Services, Bykdere Caddesi, Yapi Kredi Plaza Kat:14,
Levent, 80620, Istanbul, Turkey
b
Faculty of Engineeri
Getting the dose right: A digital
prescription for the pharma industry
To get started, set a few clear priorities, and partner
outside the industry.
By Michael Kunst, Ashish Singh and Grace Shieh
Michael Kunst is a partner with Bain & Company based in Mun
Discover the value of
Transportation Optimization Control Towers
Real-time visibility, transparency and
centralized decision-making power in Logistics
Ronald Buijsse, Director Global Marketing
Goos Kant, Industry Director Transportation & Logistics
Theodo
New Medicine for a New World
Time for Pharma
to Dive into Digital
Pharmas customers increasingly live and interact
in a digital world. The industry has been dipping
a toe in the digital waters, but now its time to take
the plunge.
Time for Pharma to Dive
Key Features of Budget 2017-2018
INTRODUCTION
In the last two and half years administration has moved from
discretionary, favouritism based to system and transparency based
Inflation brought under control. CPI-based inflation declined from 6% in
July 2016
A. Gali, T. Cari, J. Fosin: The Case Study of Implementing the Delivery Optimization System at a Fast-Moving Consumer Goods Dis
ANTE GALI, M.Sc.
E-mail: [email protected]
TONI CARI, Ph.D.
E-mail: [email protected]
JURAJ FOSIN, B.Eng.
E-mail: juraj.fosin@
Sun Pharmaceutical Industries Ltd
Sun House, CTS No. 201 B/1,
Western Express Highway,
Goregaon (E),
Mumbai 400063, India.
CIN: L24230GJ1993PLC019050
FOR IMMEDIATE RELEASE
Sun Pharma Global Consumer Healthcare announces
digital launch of Pepmelt antacid c
C A S E S T U D Y:
STEWART FOODSERVICE
DISTRIBUTION
RESOURCE&MANAGEMENT
RETAIL
MOBILEROUTING
Scheduling
NORTH
AMERICA
UK
H EL PI N G C US T O M ER S DEL IVER
STEWART FOODSERVICE BOOSTS
CUSTOMER SERVICE WITH SUPPLY CHAIN
Stewart Foodservice is a food
20-07-2016
Smoking and Lung Capacity
Correlation and Regression
Correlation
Simple Linear Regression
Suppose, for example, we want to investigate the
relationship between cigarette smoking and lung
capacity
We might ask a group of people about their smo
Indian Institute of Management
Lucknow
POST GRADUATE PROGRAMME IN
MANAGEMENT
COURSE NUMBER: DS01101
NAME OF THE COURSE: QUANTITATIVE
ANALYSIS FOR MANAGEMENT - I
COURSE OUTLINE
TERM I, 2016-2017
Instructors and Contact Information
NAME: PROFESSOR BHATTACHA
Indian
Institute of
Management Lucknow
POST GRADUATE PROGRAMME
QUANTITATIVE ANALYSIS FOR
MANAGEMENT - I
COURSE INSTRUCTOR: GAURAV GARG
Problem Set 4
1) Consider the simple linear regression model Y = a + bX + e, with E(e) =0, Var (e) =2 and es
independent
Indian
Institute of
Management Lucknow
POST GRADUATE PROGRAMME
QUANTITATIVE ANALYSIS FOR
MANAGEMENT - I
COURSE INSTRUCTOR: GAURAV GARG
Problem Set 3
1) If X has N (a, b) distribution, P (9.6 < X < 13.8) = 0.7008 and P(X > 9.6) = 0.8159, find a, b and P (X
7/8/2016
Discrete Probability Distributions
Binomial Distribution
Poisson Distribution
Hypergeometric Distribution
Consider a random experiment having only two
outcomes :
Success with probability p
Failure with probability 1 p
Define a random variable
6/30/2016
Quantitative Analysis for Management - I
Random Variable
QAM - I by Prof. Gaurav Garg (IIM Lucknow)
A Review of Probability Theory
Random Experiment is an experiment which results in
any one of the possible outcomes, though repeated
under ident
8/27/2016
Swimmer Selection
The coach of a swim team needs to assign
swimmers to a 200-meters medley relay team to
send to the Olympics. Since most of his best
swimmers are very fast in more than one stroke, it
is not clear which swimmer should be assigne
Indian
Institute of
Management Lucknow
POST GRADUATE PROGRAMME
QUANTITATIVE ANALYSIS FOR
MANAGEMENT - I
COURSE INSTRUCTOR: GAURAV GARG
Problem Set 1
(Random Variable and its properties)
1) The state of Connecticut had in circulation an instant lottery gam
Indian
Institute of
Management Lucknow
POST GRADUATE PROGRAMME
QUANTITATIVE ANALYSIS FOR
MANAGEMENT - I
COURSE INSTRUCTOR: GAURAV GARG
Problem Set 2
1) The probability of a man hitting a target is 1/4.
i. If he fires 7 times, what is the probability of hi
8/28/2016
Possible economic objectives
Maximizing market share
Maintaining full employment
Goal Programming
Minimizing production idle time
Restricting overtime labor
Adhering to limited storage space
2
1
Possible non-economic objectives
Goal Program
Continuous Probability Distributions
Uniform Distribution
Exponential Distribution
Normal Distribution
QAM - I by Prof. Gaurav Garg (IIM Lucknow)
Distribution Function
Also called as cumulative distribution function (cdf).
If X is a random variable (con
Correlation and Regression
Correlation
Simple Linear Regression
QAM - I by Prof. Gaurav Garg (IIM Lucknow)
Smoking and Lung Capacity
Suppose, for example, we want to investigate the
relationship between cigarette smoking and lung
capacity
We might ask a
Assignment -3
Question 1
Sunco processes oil into aviation fuel and heating oil. It costs Rs.14000 to purchase
each one 1000 barrels of oil which is then distilled and yields 500 barrels of aviation
fuel and 500 barrels of heating oil. Output from the dis
Transportation
Problem
Amit K.
Bardhan
Transportation Problem
Amit K. Bardhan
Faculty of Management Studies, University of Delhi
Transportation problem
Transportation
Problem
Amit K.
Bardhan
A transportation problem basically deals with the problem, which
Transportation
Problem:
Sensitivity
analysis
Amit K.
Bardhan
Transportation Problem: Sensitivity analysis
Amit K. Bardhan
Faculty of Management Studies, University of Delhi
Example-1
Transportation
Problem:
Sensitivity
analysis
Amit K.
Bardhan
An electron
Group Dynamics Negative
Aspects of Collaboration?
- By Group III
- Rominder Singh
- Ritu Raj Sinha
- Rakshit Agarwal
- Rajeev Rai
- Abhishek Adhikari
- Basant Saharan
Objective of The Case Study
Are the negative aspects of collaboration so severe that we
Shadow Price
RHS (Value of b) represents quantity of resource available
(e.g. raw material, labor requirement)
More Resource : More Profit (better Z value)
How much improvement in objective function is possible if
one extra unit of resource is available?
How to proceed when there are equality
constraints or constraints of type ?
An initial BFS is automatically available when the all constraints
are type, and RHS (b: resource vector) is non-negative.
What if
RHS for some constraint is negative?
multiply
How to move from one BFS to another
adjacent better BFS?
1
How to move from one BFS to another adjacent better
BFS?
Make one of the basic variable non-basic and
conversely.
(As adjacent corner points differ in only one basic (nonbasic) variable)
Which b
Quantitative Analysis for
Management I
Part I: Probability and Statistics
Part II: Linear Programming and Extensions
Quantitative Analysis for Management - I
Probability and Statistics
Random Variables and its Expected Value
Discrete Probability Distribu