BSBFIM501A Manage budgets and financial plans
Assessment Task 3
Part 1
Invoicing:
An itemized bill for goods sold or services provided, containingindividual pr
ices, the total charge, and the terms.
Purchase orders:
A purchase order (PO) is a commercial d
2. Multi-Objective Problems
In Linear Programming (and various other techniques), problems are solved by combining relevant quantities into a single objective function.
In particular, this means that the dierent parts
of an objective function must have th
5. Transportation Problems
Consider the following problem: A company
produces components for the motor industry.
They have plants at Derby, Leeds and Oxford, and customers in Merseyside, the Midlands, the North East and the South, whose
requirements for t
MATH 261 2011
EXAMINER: Dr A.Piunovskiy, Extension 44737
Time allowed: Two and a half hours
Full marks will be given for complete answers to ve questions. Only the best
ve answers will be taken into account.
Paper Code MATH 261
Page 1 of 6
CONTINUED
1. (a
MATH261, Spring 2012. Solutions
1. [Similar to examples discussed in class and to homework.]
(a) Leeds: Cost per ton = 0.25 800 + 0.8 1000 + 0.1 200 = 1020.
Norwich: Cost per ton = 0.1 800 + 0.9 1000 + 0.2 200 = 1020.
Denote by xL , xN the amounts of fert
MATH 261 Summer 2012
EXAMINER: Dr A.Piunovskiy, Extension 44737
Time allowed: Two and a half hours
Full marks will be given for complete answers to ve questions. Only the best
ve answers will be taken into account.
Paper Code MATH 261
Page 1 of 6
CONTINUE
Resit MATH 261 Autumn 2010
EXAMINER: Dr A.Piunovskiy, Extension 44737
Time allowed: Two and a half hours
Full marks will be given for complete answers to ve questions. Only the best
ve answers will be taken into account.
Paper Code MATH 261
Page 1 of ?
CO
MATH261, Autumn 2010. Solutions
1. Similar to homework
(3.) Dene
SEA = Number of units of A produced per week 2,
$5 : Number of units of B produced per week muck",
330 = Number of units of C produced per week
Problem is to maximise 3:0 2 5013;, + 30233 +
Figure 1
1
Figure 2
2
Convex Optimisation
So far, weve looked mainly at optimising linear
functions subject to linear constraints, which
is very restrictive. Now want to relax these
restrictions a little.
Denition
A set is convex if for every x, y and
eve
The Simplex Method
There are a variety of methods under the general term simplex method. We will consider
the Primal Standard Simplex method using
extended tableaux. To introduce the method
we consider the spring problem (Example 2
above), which we formul
INDUCTION PROGRAMME FOR NEW STAFF
The induction programme lists suggested activities to be covered from day one
through to the end of probation.
SESSION
Introduction to the University
and work area
SUGGESTED CONTENT OF SESSION
Person Responsible bingyan.z
Bingyan property company need a sale manager to sell its beautiful house
to the costumer in Sydney.
Position title:
Sale manager
Position reports to:
Bingyan
Qualification-essential:
master degree in relative field and two years experience.
Key objectives
Bingyan.zou
Executive
summary
Healthcare United is an organization that seeks to employ the best
healthcare
professionals.
They
aim
to
be
the number
one
Healthcare professionals in Australia, currently employs 1500 Healthcare
professionals in VIC and NSW
Elementary Sensitivity Analysis
During modelling and formulation we often make
approximations. For example:
(i) A constraint may not be hard - eg budget constraint in Spring problem of 40,000
might be relaxed if a signicantly better solution could be foun
3. Inventory Control
This topic is concerned with the manufacturing
process, and involves modelling quantities such
as
Ordering raw materials
The production process
Demand for the product
Storage of un-sold products
We shall concentrate on simple syst
MATH261:
Introduction to Operational Research
0.
1.
2.
3.
4.
5.
Introduction
Linear Programming
Transportation problems
Multi-objective problems
Inventory Control
Convex optimisation
0. Introduction
Operational Research is concerned with the
application o
MATHQBL Winter 2011. Salutions
1. [Similar to examples discassed in class axld to homework]
(6:) Dene
rm = Number of type A computers manufactured per montha
:55 :2: Number of type B ccmputers mémufactm'ed per month. 4 WM
Then problem is to maximise :30 2