Computerization of logistics information for improved supply chain management
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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


Topics1

Topics

  • Background to supply chain management

  • Tools review

  • Discussion of challenges and successes


Website http rhi rhsupplies org

Website: http://rhi.rhsupplies.org


Computerization of logistics information for improved supply chain management

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


Computerization of logistics information for improved supply chain management

Information

Goods

ORION™

Version 10.3.0 – 3i Infotech

Supply Management

ORION

Distribution

Centers

Vendors /

Manufacturers


Computerization of logistics information for improved supply chain management

View Shipments>>

Shipment Summary Reports>>

Account Information>>

Inventory>>

Shipping Information>>

Product Catalogue>>

Support>>

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


Pipeline monitoring and procurement planning

PipeLine Monitoring and Procurement Planning


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


Proq quantification software for hiv tests

ProQQuantification Software for HIV Tests


Computerization of logistics information for improved supply chain management

  • Current Uses of testing:

  • Blood Safety

  • VCT

  • PMTCT

  • Testing HIV-exposed babies

  • Clinical Diagnosis

  • Sentinel Surveillance

  • Other


Proq advocacy tool for resource mobilization and funding allocations

ProQ: Advocacy Tool for Resource Mobilization and Funding Allocations


Computerization of logistics information for improved supply chain management

ProQ - Users and countries

  • Logistics Advisors

  • Program Managers and Planners

  • Product Managers

  • Procurement Officers and Agents

  • Donors

  • Ghana

  • Zambia

  • Zimbabwe


Main menu

Main Menu


Computerization of logistics information for improved supply chain management

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


Delivery planning screen

Delivery Planning Screen


Delivery planning screen1

Delivery Planning Screen


Computerization of logistics information for improved supply chain management

Supply Chain Manager:Users and countries

  • Program staff and MOH counterparts

  • Malawi

  • Zambia

  • Nigeria


Computerization of logistics information for improved supply chain management

Technologies & trends

  • Mobile technology for capturing data

  • Web based Logistics Information System

  • Open source development

  • Network analysis


Computerization of logistics information for improved supply chain management

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)


Topics2

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?


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