Quantity Discounts
Download
Report
Transcript Quantity Discounts
Channel Coordination and
Quantity Discounts
Z. Kevin Weng
Management Science, Volume 41, Issue 9
(September, 1995), 1509-1522.
Prepared by: Çağrı LATİFOĞLU
Presentation Outline
Introduction
Model
Model Analyses
Allocation of the Profits
Quantity Discounts
Conclusion
Introduction
This paper represents a model
analyzing the impact of joint decision
policies on a channel coordination in a
system consisting of a supplier and
group of homogenous buyers.
Introduction
Joint decision policy is characterized
by:
Unit selling prices
The order quantities (coordinated
through the quantity discounts and
franchies fees)
Introduction
Annual Demand Rate
Operating Costs(include purchase, ordering
and inventory holding costs)
are affected by:
Joint unit selling price
Joint order quantity
Introduction
Past studies on this problem is
branched into two streams:
First Stream:
Second Stream:
Operating costs are
functions of order quantities
and demand is treated as a
fixed constant.
Demand is a decreasing
function of buyer’s selling
prices and operating costs
are assumed to be fixed.
Introduction
This research is the generalized
version of these two streams,
considering channel coordination and
operating cost minimization.
Model
There is one supplier and one buyer
(or a group of homogenous buyers
who are all treated same)
It is difficult to extend the model for
heterogenous customers since it is
difficult to find the avarage inventory
in this case.
Model
Annual demand rate is a decreasing
function of buyer’s selling price
Operating costs of both parties
depend on order quantities.
Model
Buyers inventory policy is EOQ and
quantity discount for buyers are
same.
Demand increases with price
reduction.
Model
Quantity Discounts: to ensure the
joint order quantity minimizes the
operating costs.
Franchise fees: to enforce joint profit
maximization
Model
p: buyer’s unit purchase price-charged by supplier
x: buyer’s unit selling price-charged by buyer
hb: buyer’s yearly unit inventory holding cost
hs’: supplier’s yearly unit inventory holding cost
Sb: buyer’s fixed ordering cost per order
Sp: supplier’s fixed order processing cost
Ss’: supplier’s setup cost for each machine
Model
Supplier procures the material by
either manufacturing or purchasing
where cost of procurement c < p.
Buyer’s lot size
Supplier’s lot size
m=1,2,...
Q
mQ where
Model
Holding cost of supplier
Proc. by purc. :
hsQ/2 where hs=Mhs’
M=m-1
Proc. by mfg. :
hsQ/2 where hs=Mhs’
M=m-1-(m-2)*D(x)/R
R=annual production capacity
Model
Supplier‘s order processing and setup
ordering cost
SsD(x)/Q where
Ss=Sp+Ss’/m
Supplier’s yearly profit:
Gs(p)=(p-c)D(x)- SsD(x)/Q- hsQ/2
revenue
# of setups inv.holding
Model
Buyer’s yearly profit:
Gb(x,Q)=(x-p)D(x)- SbD(x)/Q- hbQ/2
As we also see in the profits supplier
can only control p, while buyer
controls Q and x.
Model Analyses
In the scenario 1, supplier & buyer will try
to maximize their profits by optimizing the
decision varibles that are under their
control.
In the scenario 2, objective is to maximize
the joint profit of both supplier & buyer s.t.
both of their profits are greater than the
first case.
Scenario 1
For supplier’s unit selling price p, xb(p)
denotes the buyer’s optimal selling price.
Buyer’s optimal order size is (EOQ):
Qb(p)=(2SbD(xb(p))/hb)½
where holding & ordering cost is
(2SbhbD(xb(p)))½
Scenario 1
Gb(xb) is the corresponding buyer‘s
profit:
Gb(xb|Qb)= (x-p)D(x) - (2SbhbD(x))½
The corresponding supplier’s profit:
Gs(p) = (p-c)D(xb(p))–(Ss/Sb+ hs/hb)
* (SbhbD(xb(p))/2)½
Scenario 1
Lemma 1:
With buyer’s EOQ order quantity, Qb(p),
supplier’s yearly profit is never higher than
the maximum that can be achieved by
supplier’s EOQ order quantity.
(Sshb/Sbhs+ Sbhs/Sshb) >= 2
Buyer’s EOQ will also maximize this profit if
Ss/Sb= hs/hb
Scenario 1
p* maximizes Gs*(=Gs(p*))
xb(p*) maximizes Gb*(=Gb(xb(p*)))
Total profit maximum profitin case 1
= Gs*+ Gb*
Scenario 2
In this case, the joint policies which
enables both supplier & buyer to
achieve higher profits, are analyzed,
given that they are willing to
cooperate.
Scenario 2
Joint profit function:
Gj(x,Q) = Gs(p) + Gb(x,q)
Qj(x) = (2SjD(x)/hj)½ where
Sj=Ss+Sb and hj=hs+hb
Scenario 2
Joint profit function:
Gj(x|Qj(x)) =(x-c)D(x) - (2SjD(x)hj)½
For buyer’s unit selling price xb(p*) and
Qj(xb(p*)) = (2SjD(xb(p*))/hj)½
Lemma 2:
Gj(xb(p*)|Qj(xb(p*))) >= Gs*+ Gb*
Scenario 2
For a given policy (x, Qj(x))
Gs(p|Qj(x))= (p-c)D(x)-SsD(x)/Qj(x)hsQj(x)/2
Let pmin(x) is the smallest price that
satisfies Gs(p|Qj(x))>= Gs*
pmin(x) = c +{Gs*/D(x) + (Ss/Sj+ hs/hj) *
(Sjhj/2D(x))½
Scenario 2
In that case buyer’s profit will be
Gb(x, Qj(x))= (x-p)D(x)-SbD(x)/Qj(x)hbQj(x)/2
Let pmax(x) is the largest buyers purchasing
price that satisfies Gb(x, Qj(x)) >= Gb*
pmax(x) = x -{Gb*/D(x) + (Sb/Sj+ hb/hj) *
(Sjhj/2D(x))½
Scenario 2
Gj(x|Qj(x)) - (Gs*+ Gb*) =
D(x)*[pmax(x) - pmin(x)]
Increased Unit Profit
Yearly increase in Profit
For achiving
this buyer
should select
x rather than
xb(p*) where
x<= xb(p*)
Allocation of the Profits
For the joint optimal policy (x*, Qj(x*))
If the d percentage of the increased profit
goes to buyer, (1-d) percentage will go to
supplier and so the price that will be
charged by the supplier will be:
pj=d pmin(x)+(1-d) pmax(x)
Allocation of the Profits
To make buyer choose the joint optimum order
quantity(rather than the amount that maximizes its
profit alone) quantity discounts are offered.
For making him choose the joint optimum unit selling
price, franchise fees are used.
Once a year buyer pays the supplier ß pj D(x*) and in
return supplier charges (1-ß) pj avarage unit selling
price. In this case the buyer’s optimal selling price
x*((1-ß) pj) is equal to optimal joint selling price x*.
Quantity Discounts
All unit: If buyer orders an amount Qx
(>Qi) , the discount is applied to
whole order(Qx).
Incremental: If buyer orders an
mount Qx (>Qi) , the discount is
applied to additional units (Qx-Qi) .
Quantity Discounts – All Unit
Qai is a price breakpoint where the
corresponding all-unit discount price is
rai p*
If
Ss/Sb= hs/hb then Qb(rai p*) = Qai
Else Qb(rai p*) ≠ Qai
Quantity Discounts – All Unit
It is also proposed that there should
be only one price breakpoint and it
should be at joint optimal order
quantity(since it is unique).
Quantity Discounts – All Unit
Buyer’s yearly profit increase λ % (>=0) (which
satisfies Gb(x*(rap*))>= Gb*)
Supplier’s yearly profit increase ß % (>=0)
In that case;
rap* =pj = pmax(x*) - λGb*/ D(x*)
Qa = Qj(x*) = [2SjD(x*)/hj]½
λ Gb* + ß Gs* =[pmax(x*) - pmin(x*)]D(x*)
Quantity Discounts – All Unit
From the formulations we can see that all
unit discount percentage and buyer’s profit
increase percentage have a linear
relationship due to the fact that pj linearly
affects purchase cost but it has no impact
on the other costs.
Another observation is the negative linear
relation between supplier percentage profit
increase and all-unit quantity discount
Incremental Quantity Discount
In this policy, the discount is applied to the
units that are over the price breakpoint Q.
r1’=r1(1-Q/Q1) + Q/Q1
Gb(xb(r1’p*)|Q)=(xb(r1’p*)- r1’p*)
D(xb(r1’p*)) - Sb D(xb(r1’p*))/Q1- hbQ1/2
Incremental Quantity Discount
Q1= [2(Sb+p*(1-r1’Q) D(xb(r1’p*))/hb]
Gs1( r1’p*|Q)= (r1’p*-c) D(xb(r1’p*)) Ss D(xb(r1’p*))/Q1- hsQ1/2
Equivalence of AQD and IQD
Given that both AQD and IQD increase
buyer’s profit by an equal amount (since
they have the same unit selling price, x*)
the increase in supplier’s profits should be
same. (details are in the paper)
It is found that ra= r1’p*=pj and Qa= Q1=
Qj(x*)
Conclusion
Quantity discounts alone are not sufficient to
guarantee joint profit maximization, franchise fees
should be implemented as a control mechanism
Whether the demand is constant or not, AQD and IQD
perform identically,
Dependency of demand on unit selling price and
operating cost dependency on order quantities is
more critical.
Q&A