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Computerization of Logistics Information for Improved Supply Chain Management. Presentation at JSI 5 November 2009. Topics. Background to supply chain management Tools review Discussion of challenges and successes. The Supply Chain. MOH, MoF. Proc Agents. Courtesy: JSI/DELIVER.

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computerization of logistics information for improved supply chain management

Computerization of Logistics Information for Improved Supply Chain Management

Presentation at JSI

5 November 2009

topics
Topics
  • Background to supply chain management
  • Tools review
  • Discussion of challenges and successes
the supply chain
The Supply Chain

MOH, MoF

Proc Agents

Courtesy: JSI/DELIVER

global need
Global Need

Courtesy: JSI/DELIVER

supply chain software
Supply Chain Software

Functional Overview

Global

Reproductive

Procurement

Health

Information

Interchange

l

System

a

n

Reports forecasts

o

and orders

i

t

a

n

Delivers to

r

e

t

n

I

International

Manufacturer

Delivers to

Delivers to

ORION

Distributor

Orders from

Procurement

PipeLine

,

Service

Requests

ProQ

Deliveries

l

a

n

o

i

Health Program

t

a

Manager

N

Reports

Supply Chain

to

Manager

Logistics

Reports

National

Management Unit

to

Warehouse

Delivers to

l

a

n

o

Sub

-

national

i

Reports to

g

warehouse

e

Last Mile

Delivers to

R

Technologies

,

Mobile Tech

Orders from

y

e

r

Orders from

c

e

i

v

Service Delivery

v

Reports to

i

r

l

Point

e

e

S

D

topics6
Topics
  • Background to supply chain management
  • Tools review
  • Discussion of challenges and successes
slide9

RHI Inputs and Outputs

UNFPAATLAS

IPPFSunBusiness

Summary of Shipments

Crown Agents (DfID)RAP

Value Summary

IRH Excel

Quantity Summary

USAIDMy Commodities

RHI

Geographic Summary

MSI

Excel

Shipment History

Govt. of Nepal

Excel

Shipment Details

Govt. of Uganda

Excel

DKT/Ethiopia

Excel

Other, future…

(Govts., PSI)

users and uses
Users and Uses
  • TA Providers: preparation for country-specific TA for forecasting, procurement, financing context
  • MoH RH Program Mgrs: planning & budgeting
  • Commodity Managers: monitoring of shipments
  • Donors: coordination
  • Contraceptive Security Committees: share information, strategize, mobilize resources
  • Advocates & Researchers: advocacy, support for campaigns and research questions
slide12

Information

Goods

ORION™

Version 10.3.0 – 3i Infotech

Supply Management

ORION

Distribution

Centers

Vendors /

Manufacturers

slide13

View Shipments>>

Shipment Summary Reports>>

Account Information>>

Inventory>>

Shipping Information>>

Product Catalogue>>

Support>>

http://deliver.jsi.com/dhome/mycommodities

inputs

Inputs

Outputs

pipeline users and countries
PipeLine - Users and countries

Program managers and consultants in:

Bangladesh, Burkina Faso, Dominican Republic, El Salvador, Ghana, Honduras, Liberia, Malawi, Mozambique, Nepal, Nicaragua, Paraguay, Rwanda, Tanzania, Uganda, Zambia, Zimbabwe

slide21

Current Uses of testing:

  • Blood Safety
  • VCT
  • PMTCT
  • Testing HIV-exposed babies
  • Clinical Diagnosis
  • Sentinel Surveillance
  • Other
slide23

ProQ - Users and countries

  • Logistics Advisors
  • Program Managers and Planners
  • Product Managers
  • Procurement Officers and Agents
  • Donors
  • Ghana
  • Zambia
  • Zimbabwe
slide25

Main inputs & features

Inputs:

  • Quantities issued to facilities or dispensed to users
  • Quantities received
  • Losses/adjustments
  • Stock on hand
  • Main features:
  • - Supply status and distribution of stocks at each SDP and storage facility
  • - Quantities of products dispensed to user
  • - Trends in commodity consumption for program evaluation and procurement planning
  • - Service statistics, such as new and continuing users
  • - Couple years of protection (CYP), calculated for family planning products dispensed
  • Percentage of facilities reporting, names and locations
slide28

Supply Chain Manager:Users and countries

  • Program staff and MOH counterparts
  • Malawi
  • Zambia
  • Nigeria
slide29

Technologies & trends

  • Mobile technology for capturing data
  • Web based Logistics Information System
  • Open source development
  • Network analysis
slide31

Supply Chain Guru™LLamasoft, Inc.

Supply Chain Network Design

  • Network Modeling through
    • Network Optimization
    • Inventory Optimization
    • Enterprise Simulation

Baseline Network

Optimized Network

does using 3 month historical average smooth away variability
Does using 3-month historical average smooth away variability?
  • Table below compares projected demand based on 3 month historical averages to the actual demand for 2007
  • Red highlights represent projected under-estimating by more than 20%
  • Yellow highlights represent projected demand over-estimating by more than 20%
  • Results: 50% of the time the projected was either over or under by more than 20%. Using projections based on 3-months historical data does not necessarily remove variability. Complexity of system requires the use of advanced supply chain modeling software.
effect of variability on solola health center condom stock outs and emergency orders
Effect of Variability on Solola Health Center Condom Stock Outs and Emergency Orders
  • Scenario Outputs
  • Stock Out Periods
    • no variability scenario – 0
    • 25% variability scenario – 1
    • 50% variability scenario – 5
  • Instances Crossing Above Max (overstocked)
    • No variability scenario – 0
    • 25% variability scenario – 5
    • 50% variability scenario – 2
  • Instances Crossing Below Min (emergency order)
    • No variability scenario – 0
    • 25% variability scenario – 8
    • 50% variability scenario – 6
  • (Settings: 106 condoms/month; 1/3 month min/max; 2 year period, reorder quantity based on previous 3 month demand)
topics34
Topics
  • Background to supply chain management
  • Tools review
  • Discussion of challenges and successes
discussion questions
Discussion Questions
  • How has your program used information technology to improve supply operations in a global health setting?
  • What continue to be the most important hurdles to applying information technology in our context?
  • What information gaps continue to hamper our ability to assure a transparent and equitable distribution of medical resources?