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Chapitre 5
Gestion de stocks
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Plan
Introduction
Fonctionnement dune pharmacie hospitalire
Inventory control subject to known demand
Inventory control subject to unknown demand
Retours la gestion de stocks pharmaceutique
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Chane logistique pharmaceutique
Fournisseurs externes
Laboratoires
Distributeurs
Pharmacie centrale
Achat - Approvisionnement
Livraison
Pharmacie hpital
Rapprovisionnement
Production de certains mdicamentslivraison
Units de soins
Rception, stockage, administration et demandes urgentes
Rduction de cots
Scurisation ducircuit demdicament
(bon mdicament,au bon patient, aubon moment)
Pb de prissabilit
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Chane logistique pharmaceutique
Fournisseurmdicaments
Fournisseurmdicaments
Fournisseurinstruments
Pharmacentrale
Pharma
hpital
Pharmahpital
Pharmahpital
Unitsoins
Unit
soins
Unitsoins
patients
HCL songe rduire le nombre de niveaux en livrant directement lesunits de soins partir de la pharmacie centrale.
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Plan
Introduction
Fonctionnement dune pharmacie hospitalire
Inventory control subject to known demand
Inventory control subject to unknown demand
Retours la gestion de stocks pharmaceutique
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Fonctionnement dune pharmacie hospitalire
Gestion de stocks des units de soins:
Systmes darmoires (appro au service)
Systmes de chariots (appro la pharma)
Systmes de double bacs (plein/vide)Stocks de rserve pour besoins urgents
Forte pression pour la dispensation nominative
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Fonctionnement dune pharmacie hospitalire
Ressource du secteur pharmaceutique:
Ressources humaines
Pharmaciens
Internes
Prparateurs
Agent de transport, de logistique
Locaux de stockage
Camions
Acteurs aval: infirmires des units de soins, mdecins
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Fonctionnement dune pharmacie hospitalire
Point de vue des flux physiques:
Mdicaments des grandes consommations (chariots)
Mdicaments nominaux-chariots
Mdicaments nominaux avec ordonnances
Mdicaments avec fabricationPatients externes
Soluts
Armoires/stocks de pharmacie des services internes/externes
chariots des mdicaments durgence dans les services
Mdicaments rfrigrs (?)
Flux amont (fournisseur stockage)
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Fonctionnement dune pharmacie hospitalire
Point de vue dinformations-dcisions:
Planning des activits : quand, par qui, comment
Rapprovisionnement des units de soins : quand, par qui, en fonction dequoi
mission et rception des commandes internes
Approvisionnements fournisseurs : quand, combien, par qui, en fonctionde quoi
Rception de commandes fournisseurs
Gestion des stocks et de transport
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Fonctionnement dune pharmacie hospitalire
Les grandes tapes du circuit de mdicament
prescription validation dispensation administration
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Fonctionnement dune pharmacie hospitalire
Flux global des mdicaments
Magasin
Soluts Fabrication PatientsMdicaments
nominauxMdicaments
de grande
consommation
Livraisons
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Fonctionnement dune pharmacie hospitalire
Mdicament de grande consommation en chariots
based on
planning
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Fonctionnement dune pharmacie hospitalire
Mdicament nominaux en chariots
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Fonctionnement dune pharmacie hospitalire
Dispensation au guichet
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Introduction
Investment in inventory is enormous
In the 3rd quarter of 1991, US invests $1.03 trillion, about 20-25% of GNP
Use of scientific inventory control methods leads to a significantcompetitive advantage.
Only replenishment of independent products is considered.Dependent demands are controlled byMRP.
Fundamental problem of inventory management:
When should an order be placed?
How much should be ordered? Major models: deterministic demand or stochastic one.
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Types ofInventories
Raw material
Components subassemblies : items not yet reached completion Work in process (WIP, encours) : inventory waiting for processing or
being processed.
Finished goods
Spare parts for maintenance, replacement
Stock in transit
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Motivation for holding inventories
Economy of scale (setup)
Uncertainties (demand, process, supply) Speculation
Transportation : in transit or pipeline inventories
Capacity smoothing : change in demand
Logistics: ensuring continuityy in purchasing, prod, distri,
Control costs
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Characteristics of inventory systems
Demand: constant/variable, known/stochastic
Leadtime Review time: continuous review, periodic review
Excess demand: back ordered or lost
Changing inventory: perishability or obsolescence
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Relevant costs
Holding cost (carrying cost, inventory cost) : proportion to the
amount of inventory physically on hand at any time.Includes:
physical storage cost,
taxes & insurance,
opportunity cost of alternative investment (most important.Usually,
Unit holding cost per year = annual interest rate . Value of one item unit
h = I . c
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Relevant costs
(Fixed) Order cost : Usually,
where K is a fixed order handling cost, c is the unit purchase cost
0, 0( )
, 0.
if xC x
K cx if x
!!
"
Penality cost: shortage cost or stock-out cost. Interpretationdepends on whether the excess demand is backordered or lost.
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The Economic Order Quantity (EOQ) model
Simplest and most fundamental model
Trade-off between fixed order cost & holding costsBasis for more complex system
Assumptions:
Demand rate know & constant D units/time unit
Shortage are not allowed
No order lead time
Cost include: fixed order cost K, unit purchase cost c, holding cost h
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The Economic Order Quantity (EOQ) model
Q
T time
Inventory on
hand
2 2
2
cos 2
KD KDQ
h Ic
KThD
Total t KhD Dc
! !
!
!
Formule de Wilson
Remark: Q does not depend on c (why).
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The Economic Order Quantity (EOQ) model
L time
Inventory onhand
R
Inclusion of order leadtime
By reorder point R = DL
Issue an order of Q units whenever the reorder point is reached.
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The Economic Order Quantity (EOQ) model
Sensitivity (Case c = 0)
Optimal cycle time T* = (2K/Dh)0.5
(Power of 2) Choose T in ..., , , 1, 2, 4, ... such that T < T*
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Quantity discount models
All-units discout
Example:
K = 8, D = 600, I = 0,2
C(Q)= .3Q, if Q < 500
= .29Q if 500
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Plan
Introduction
Fonctionnement dune pharmacie hospitalire
Inventory control subject to known demand
Inventory control subject to unknown demand
Retours la gestion de stocks pharmaceutique
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Introduction
Management of uncertainty plays an important role in the success of
a firm Source of uncertainty: consumer preferences, trends in the market,
availability & cost of labor & resources, supply times, ...
Past observation can be used to estimate the probability distributionof the demand.
D = Ddet + Drand
Deterministic inventory models are appropriate:
When the variance of Drand is small w.r.t. Ddet
When the predictable variable is more important then the randomvariation
When the problem structure is too complexe to include an explicitrepresentation of randomness.
Often, randomness is too important to ignore it.
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The Newsboy model (stock rotation nulle)
Single period single product model
Useful for highly fashion items, food, news papers.
Model:
Decision variable Q = number of units to be purchased at the
beginning of the period Demand d of the period is a random variable with density f(x) and
probability distribution F(x).
All relevant costs can be determined on the basis of the ending
inventory Q D Co = cost per unit of positive inventory (overage cost)
Cu = cost per unit of unsatisfied demand (underage cost)
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The Newsboy model (stock rotation nulle)
Cost function:
Total costG(Q, D) = Co max(0, Q-D) + Cu max(0, D-Q)
Average cost
G(Q) = E[G(Q, D)]
Optimal policy
F(Q*) = Cu/(Co+Cu) : critical ratio
The model can be easility extended to discrete demand and toinclude starting inventory.
F(Q*-1) < Cu/(Co+Cu) < F(Q*)
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Reorder point order quantity policy (r, Q)
Derive from the form of optimal solution of EOQ model
(r, Q) system: place an order of Q units when the inventory positionreaches r.
Assumptions:
Continuous review Demand is random and stationary with d units per time unit
Fixed supply lead time L
Type 1 service :
probability of not stocking out in the supply lead time >= E
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Reorder point order quantity policy (r, Q)
Role of the demande during lead time L
DL = demand during LWith
DL = Ld
Where d is the mean demand in each elementary period and Wd the
standard deviation.
LD dLW W!
r
L
DL
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Reorder point order quantity policy (r, Q)Type 1 service model
How much to order : Q = EOQ
When to order : Issue an order of Q when the inventory positionreaches the reorder point r.
Determine r such that
Prob{DL > r} = 1 E
FDL(r) = E
In practice, DL is approximated by a normal distribution. Then,
R = d.L + SSWhere SS is the safety stock with
SS = zE.WDL
And zE is the safety factor with *(zE) = E.
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ABC Inventory Classification:Where To Focus Management Attention
GOAL: Determine the small # of items that account for the majority
of the cost (exploiting 80/20 rule) - which need a tighter inventorycontrol
Items classified as A, B, orC items based on thepercentage of annualsales that they command
A items: very tight control, complete records, regular review
B items: less tightly controlled, good records, regular review
C items: simple controls, minimal records, large inventories, periodic
review
Typical split between classifications: No more than 20% of the itemsas Class A; no less than 50% of the items as Class C.
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ATypicalABC Curve
% of SKU
% of Total Dollar Value
A
B
C
20% 50% 100%
60%
90%
100%
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Example: ABC Inventory Classification
SKU
F-1
F-3
F-7
H-1
H-3
H-4
H-6
J-1
J-3
K-3
Ann. Sales(units)
40,000
195,000
30,000
100,000
3,000
50,000
10,000
30,000
150,000
6,000
UnitCost
0.06
0.10
0.09
0.05
0.15
0.06
0.07
0.12
0.05
0.09
AnnualSales ($)
2,400
19,500
2,700
5,000
450
3,000
700
3,600
7,500
540
$45,390
Rank
7
1
6
3
10
5
8
4
2
9
Sales%
5.3
43.0
6.0
11.0
1.0
6.6
1.5
7.9
16.5
1.2
ABCClass
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Plan
Introduction
Fonctionnement dune pharmacie hospitalire Inventory control subject to known demand
Inventory control subject to unknown demand
Retours la gestion de stocks pharmaceutique