A Supply Chain Network Economy Modeling and Qualitative Analysis
Modeling the Peruviancoffee supply chain
Transcript of Modeling the Peruviancoffee supply chain
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Modeling the Peruvian coffee supply chainOctober 2019
Presentation Outline
• Speaker Introduction• Research Overview• Case Study: Peruvian Coffee Supply Chain• Conclusions• Research in progress• Questions & Answers
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Edgar Ramos
Supply Chain Management ProfessorIndustrial Engineering ProgramUniversidad Peruana de Ciencias Aplicadas, Lima-Peru
Edgar has more than 28 years of working experience in Operations, Logistics andSupply Chain Management. He used to work for Logistics, Manufacturer and Distributorcompanies in Peru. He is founder and actual President at Peru Roundtable of CSCMP(Council of Supply Chain Management Professionals). Since 2015 he is the full-timeSupply Chain Management Professor. His researches and publications have beendeveloped in Agri-food Supply Chain, Supply Chain and Logistics fields.Edgar earned his B.S in Industrial Engineering from Universidad Nacional de Ingenieria,MBA from Universidad del Pacifico. He is pursuing his Doctoral degree in IndustrialEngineering from Universidad Nacional Mayor de San Marcos, in Lima-Peru.
Speaker Introduction
• Coffee grows from 800 meters until 1,200 meters above sea level in Peru.
• This grain is cultivated by Quechua, Aymara and Ashaninka cultures all of them located in the Andean and Amazon Regions.
• Main types: Arabic
• Peruvian farmers are facing growing challenges from climate change, plagues, natural disaster, and price variations
Research Overview
Source: FAO, 2014
Overview ResultsAgriculture, value added (% of GD) 7.4%
Export Coffee Green, RoastedExtracts
Organic Area (% total agricultural area) 0.8%
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Coffee Supply Chain Features
• It is a long-life agriculture product
• Suppliers have little influence on farmers. Ancestral customs have used historical methods for crops.
• Thousands of farmers at tiers 2 level are providing to the Processors or Intermediaries
• Most of the production are exports to North America, Europe, Asia, and other countries (>50 countries)
Agribusiness Product
Crops Livestock
Perishable Long-life Perishable Long-life
Respiring
Non-Respiring
Fresh
Chilled
Frozen
Agribusiness Supply Chain
The Scope of this Research
Supply Chain Risk
Management
Supply Chain Collaboration
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Global Supply Chain Risk in Operations Management
Global Supply Chain Risk in Operations Management
DemandDemand Risk
Demand VariabilityCompetitors
SourceSupply Risk
Supplier RiskTransit time Risk
OperationsOperational Risk
Inventory RiskAsset and Tools Risk
Quality Risk
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Types of supply chain environments in the coffee SC
Supply RiskDemand Risk
Low HighLow SLDL SLDH
High SHDL SHDH
Source: Adopted from Manuj, I. and Mentzer (2008)
The world top’s producers of coffee in thousands of 60kg bags
1 Brazil 63,400 2 Vietnam 30,400 3 Colombia 14,300 4 Indonesia 10,900 5 Honduras 7,600 6 Ethiopia 7,100 7 India 5,2008 Uganda 4,800 9 Mexico 4,500
10 Peru 4,400 Source: International Coffee Organization, 2019
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Case Study: Peruvian Coffee Supply Chain Operations
Bean Profile:Region Cusco, Puno,Perú.
Varietal:Arabica: Typica, Caturra and Catimor
Processing:Harvest, Hull, washed,Drying, bulking
Elevation:1,200m – 2,000m
Peruvian Coffee Bean Profile
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Peruvian Coffee Exportation
Source: Sunat-Peru, 2018
181
154
79
40 34 32 26 22 18 17
UnitedStates
Germany Belgium Sweden Canada Colombia England Italy France Korea
MillionsDollars
Coffee Cost Variation
Source: Ministry of Agriculture of Peru (2019)
FOB Price(USD/Kg)
3.865
5.382
3.8412.93
4.0223.311 3.16 2.885
2.605
2010 2011 2012 2013 2014 2015 2016 2017 2018
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Supply Risk in Coffee Supply Chain Operation
Farmers
Cooperatives/ Intermediaries
Distributors/ Processors
Retailers
Stores
End Consumers
Quality, Disruption,
Yield,Input Cost
Risks
Deliverytime Risk
Reputational Risk
Fulfillment Order Risk
Cost Risk
Sustainability Risk
Innovation Risk
Negative Dependency
Positive Dependency
Technology Risk
Execution LevelTactical LevelStrategic Level
Suppliers
The Peruvian Coffee Global Supply Chain
Growing and Harvesting
Hulling andDrying
Packing and Bulking
Blending and Roasting
Small Farmers
Cooperative/ Intermediary
Intermediary/Exports
Distributor/ Processor
1Ha to 5Ha
Located in theAndes/Amazon
Elevation:1,200m – 2,000m
Trucks Transportation 3PL’s for road Transportation
International Shipping
96% by sea4% by road
Small trucks or Animals for
transportation
Located in the Andean/Amazoncities nearly to
farmers
Located in coast of Peru
Located in anywhere in the
world
Grouped between100-300 farmers
End Consumer
Retailer/Store
Located in anywhere in the
world
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Supply Chain Problems: Risks
Reception Collection Storage Dispatch
Suppliers Farmers Cooperatives /Intermediaries
March Abril May-June July-October November December January-
February
Pre-harvest
External factors:• Climate: rains, frozen, hailstorm• Animals: birds, insects, virus
Harvest Post-harvestGrowing1) Disruptions2) Yield uncertainty3) Lead time uncertainty 4) Input cost parameter
uncertainty
Crops of Coffee
Growing (1year)
Growing (1 year)
Mapping the coffee Supply Chain
Farmer 1
Supplier A
SeedsCrops
Processor
Local Distributor
PE
Int. Retail Int. Customer
Int. Distributor
Grains
Supplier B
Supplier C
ManufacturerPE
Callao Port
Retail
Retail
Supplier D
Int. Processor
Int. Retail Int. Customer
CustomerPE
CustomerPE
Intermediary
Cooperative 1
Retail CustomerPE
Crops
Farmer 2
Farmer 3
.
.
.
.
.
Farmer n= 50 to 300 families
Cooperative 2
Cooperative n=8-10
.
.
.
.
.
Cooperative 3
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Supply Chain Manufacturing
Farmers
Intermediaries
Processors
Distributors
Retailers
End Consumers
Feature Manufacturing at Processor plant
Varieties of raw material Low
Type of production Low
Differentiation of product Low
Work in progress low
Material change Physical changes
Intensive Capital intensive
Equipment layout Bach production with interruptions
Flexible equipment layout Low
Stores
Coffee Value Chain (Peru - USA)
0.95 USD/kg
2.6 USD/kg
16.45 USD/kg
23.5 USD/kg
Farmer price
Export price
Wholesale price
Retail price
= 0.95/23.5 = 4.0%
% of Value Chaincaptured by Peruvian farmer
Source: Own Elaboration (2018)
Farmers
Intermediaries
Processors
Distributors
Retailers
End Consumers
Stores
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Supply Chain Problems: Waste
15%
8%
5%
Harvest
Processing
Distribution
% of Waste in Peruvian Coffee supply chain
7% Post Harvest
6%
7%
4%
% of Waste in another cerealsin Latin America countries, FAO (2016)
4%
Country Yield (kg/Ha)
Peru 6,414
Colombia 8, 464
Brazil 14,215
Source: FAO (2018)
Research in progress
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1) A Model ISM-MICMAC for Managing Risk in Agri-food Supply Chain:A Research from Andean Region of Peru
Suppliers Farmers Cooperatives / Intermediaries
Physical Natural Environmental Price Financial Social Infrastructure Disaster Economical Cultural
Demand Risk
Supply Risk
External
Internal
2) Modeling the Integration in the Peruvian Coffee Supply Chain with PLS:A Sustainability Perspective
Cluster
Information
Operations in Supply Side
Integration Operational Performance
H1
H2
H3
H4
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3) A Proposed Model for Optimization the Peruvian Coffee Supply Chain
Source: Own Elaboration based on Anylogix Software (2019)
• Develop a model for risk managing in the coffee supply chain, where farmers (thousands), cooperatives, intermediary must work together in proactive actions
• Collaboration and development of clusters to minimize the waste in the Peruvian coffee supply chain
• Investigation for a deep understanding of the coffee supply chain and improvement of the value chain
• ….More studies about Agri-food Supply Chain are coming soon!
Conclusions