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A Knowledge Company Supporting
Your Smarter Decision
info@decisionware.net
Bogotá, Lima, Madrid, Ciudad de México, Santiago
Is a pioneer company in Latin America, based on technology, aimed at specialized
consulting and design, implementation and start-up of Decision Support Systems (DSS)
Right now, DW works as a mathematical modeling factory for many companies.
DO ANALYTICS is an spin-off company of DW.
We integrate state of the art technologies of Mathematical Programing with Advanced
Information Systems to work in
ADVANCED ANALYTICS AND OPTIMIZATION
OPCHAIN
OPTIMIZING THE VALUE CHAIN
PROJECTS IN OPTIMIZATION
OPCHAIN
OPTIMIZING THE VALUE CHAIN
To capitalize on its expertise in mathematical optimization projects,
DW created OPCHAIN, the brand through which it consistently meets all
solutions developed by DW, in different areas of application of
mathematical programming methodologies and technologies.
In 2018, OPCHAIN accumulated experience of more than forty-five (45)
years of engineering problem solving and business analytics using
mathematical programming models. Keeping up with the standards of
modern information technologies, OPCHAIN models are fully
programmable, easy to customize for each client, and easily integrated
with other IT solutions in organizations.
OPCHAIN-SCO OPCHAIN-TSO SUPPLY CHAIN OPTIMIZATION TRANSPORT SYSTEMS OPTIMIZATION OPCHAIN-DCO OPCHAIN-BANK DEMAND CHAIN OPTIMIZATION BANK SYSTEMS OPTIMIZATION OPCHAIN-ESO OPCHAIN-RPO ENERGY SYSTEMS OPTIMIZATION REGIONAL PLANING OPTIMIZATION OPCHAIN-MINES OPCHAIN-EDO MINES SYSTEMS OPTIMIZATION EDUCATIONAL SYSTEMS OPTIMIZATION
GENERAR S.A. E.S.P.
QUORUM CEA AMÉRICAS (hoy )
INGENIERÍA S.A.
INGENIERIA JJN C.A
OPCHAIN-ESO
OPTIMIZING THE VALUE CHAIN
ENERGY SYSTEMS OPTIMIZATION
OPCHAIN-ESO
OPTIMIZING THE ENERGY VALUE CHAIN
OPCHAIN-ESO is a decisión support system that consistently meets all
the software solutions developed by DW in different aerial application of
mathematical optimization models to the energy sector.
OPCHAIN-ESO integrates solutions in two sets of models:
▪ OPCHAIN-E&G oriented to electricity sector
▪ OPCHAIN-OIL oriented to oil sector
These models can be integrated to carry out studies in the sector of
energy, or solutions for multi-business companies that operate in more
than one of these sectors.
OPCHAIN-E&G OPCHAIN-E&G-EDI
Mixed – Non-Linear
Free
Economic Dispatch OPCHAIN-E&G-SCD
OPCHAIN-E&G-NASH Supply Chain
Competitive Dispatch Design
OPCHAIN-HID-SIN OPCHAIN-E&G-MAN
MONTECARLO Maintenance
Synthetic Generation Optimization
COMMON
DATA MODEL
OPCHAIN-KALMAN OPCHAIN-E&G-ETRM
State Estimation Energy Trading &
DUAL KALMAN FILTER Risk Management
INFORMATION
SYSTEM
OPCHAIN-E&G-PSPOT OPCHAIN-E&G-UC
Statistical Models Unit
OPCHAIN-E&G-RDI Commitment
ARIMA-GARCH Regulated
Economic DispatchMATHEMATICAL MODELS OPCHAIN-E&G
Model Description
DISPATCH SIMULATION IN POWER PLANTS
The central model OPCHAIN-E&G corresponds to the clearance system generating plants which can be
used by two types of agents for multiple purposes. Generically this model has been called OPCHAIN-E&G
OPCHAIN-E&G (Hydro-Thermal Simulation-Gas) and based on the same multiple models are built for specific purposes. The
theoretical support of this model OPCHAIN-E&G gives rise to three variations of the model according to
the economic concepts that support modeling.
Economic (minimum cost): delivery of plants conventional office minimizes the cost of operation of the
EDI
interconnected system
Economic Regulated: Delivery of plants that minimizes the cost of operation of the interconnected system
RDI
and includes representatives of regulatory aspects of the electricity market being simulated.
Cournot-Nash equilibrium: Delyvery of plants oriented to the simulation of competitive electricity markets
NASH
with agents that have the ability to influence their decisions on transactions occurring in the market.
Unit Commitment associated with operational planning (short term) decisions related to delivery plants on a
UC
daily basis. Respect all non-linear constraints that are part of the delivery.
Integrated simulation of economic dispatch plus financial modeling (ALM). Oriented to use in valuation of
FIN
electric assets.
UNIT
STRATEGIC PLANNING
Associated with strategic planning (long-term) decisions related to designing the supply chain, in relation to
SCD
capacity of reservoir, transfers, power plants and other elements of an electrical system.
TACTICAL PLANNING
ETRM Energy Trading and Risk Management
Oriented policy making preventive maintenance of multiple central generation plants. It can be applied to all
MAN
plants in a region or a national grid.
OPERATIVE PLANNING
Unit Commitment associated with operational planning (short term) decisions related to office plants on a
UC
daily basis.
STOCHASTIC PROCESES MODELS
HID-SIM Synthetic generation of water intake based on a model of Fiering-Matalas type.
KALMAN Projected short-term hydrological contributions via a Dual Kalman Filter Dual
PSPOT Projected electricity prices short-term competitive markets through ARMAX-GARCH modelsIn October of 2013, COES-SINAC, (Committee for Economic Operation of the National Electricity Interconnected System of Peru) selected DW to develop the project "NEW SIMULATION MODEL OF THE ECONOMIC DISPATCH OPERATION FOR THE NATIONAL PLAN OF TRANSMISSION", which included multiple mathematical optimization models to support the expansion of the transmission of the electricity network of the Republic of Peru. The project included simulation models of simultaneous optimum dispatch of electricity and natural gas systems and the evaluation of multiple expansion uncertainty scenarios, in order to build paretto curves that support the selection of a robust expansion plan. The model developed is called by COES-SINAC as MODPLAN, and it is the official model used for this purpose in Perú.
In December 2013, Duke Energy International Group Ltd., selected DW to advise them in the bidding process opened by the Colombian Government for the sale of its major stake in ISAGEN S.A. E.S.P. ISAGEN owns and operates six plants for electricity generation, with a total installed capacity of 2.212 MW and an annual average generation of 9500 GWh-year, distributed in 1912 MW hydraulic and 300 MW thermal. Its total generation during 2012 accounted for 16.45% demand for electricity in Colombia, placing it as the third largest national generating company and as a fundamental agent in the development of the Colombian energy industry.
In 2017, SAGARPA, Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación" of Mexican Republic, hired Smart Grid Mexico (SGM) to execute the project “STUDY OF CAPACITY FOR THE PRODUCTION AND USE OF BIOGAS IN MEXICO". SGM hired DecisionWare to implement a mathematical model that integrates the bioenergy process with the integrated management of one or multiple farms, in such a way to analyze, and optimize, the economic, social and environmental sustainability of the agricultural production; considering the energy produced by the conversion of energy crops, or animal manure, into biogas and/or bio-fertilizers, through the use of technologies of anaerobic digestion, allocation of crops and animal rearing practices.
In 1998, BP hired DW to develop a model that supported the
decision making regarding the exploitation of natural gas in the
CUSUIANA field in Colombia. DW developed a model to simulate the
operation of the integrated electricity and gas supply chain. Based
on the model BP made their decisions about exploiting natural gas in
Colombia.
MM3
NIVEL FINAL DEL EMBALSE PEÑOL
1200 Penalizando Embalses
Penalizando Generación
1100
Mínimo Operativo
1000
Simulación Binaria
900
800
700
600
500
400
Ene-00 Jul-00 Ene-01 FECHA Jul-01In December 2011, the National Authority of Public Services of Panama hired the alliance MERCADOS ENERGETICOS-DW for the consulting project OPERATION ASSESSMENT OF PANAMA NATIONAL GRID AND THE OPTIMIZATION OF HYDROTHERMAL RESOURCES.
As a result of the opening of the electricity market in Colombia (July of 1995), as part of the process of creation of ISAGEN S.A. ESP (from the assets of electricity generation of ISA), in June 1995, ISA hired DW to undertake a process of technology transfer to ISAGEN in subjects related with the mathematical models required to operate in the new environment of the Colombian electricity sector, whose outcome should be the design of the decision support system that ISAGEN should have as a generator agent.
In 1999, Teknecon Energy Risk Advisors
LLC (“TERA”) hired DecisionWare to provide
consulting services under a contract with the
Ministry of Energy and Mines ("MEM") of the
Republic of Colombia, as part of a project
concerning the reorganization of the entity
owning the electricity transmission system and
development of a forward market for electric
power, financed by The World Bank.In 2002, the World Bank selected the Consortium Mercados Energéticos (Argentina), Power Systems Research, Inc. (Brazil), and Risk Capital Management Partners (USA) to make the study COMPUTER-BASED SIMULATION OF AUCTIONS OF OPTION CONTRACTS AND OF FUTURES CONTRACTS IN THE COLOMBIAN WHOLESALE ELECTRICITY MARKET. DecisionWare participated in the study as a subcontractor.
Since 1998, on multiple occasions, AES CHIVOR has
hired DW to give technical support in various aspects
of the Colombian electricity sector regulation that deal
with the use and application of mathematical models
as a way to establish the remuneration of agents.
0010 - 17/12/93CONDICIONES DE SUMINISTRO DE ENERGÍA
Y POTENCIA A GRANDES CONSUMIDORES
A1 Definiciones fundamentales:- Gran consumidor: es aquel
que estando conectado a niveles superiores a 1 KV y
cuya demanda máxima mensual, medida en el sitio
individual de entrega, excede un determinado nivel
mínimo de consumo de energía, que inicialmente se
define igual a 2MW (Articulo 2)- Comercializador:
compra energía para venderla a los grandes
consumidores, a las empresas de distribución y/o a los Min t j h CTt(GTjth)
grupos de consumidores con tarifa regulada- Generador:
es un productor de energía y potencia que la vende a
terceros (comercializadores) en el mercado de corto y sujeto a:
largo plazo. Se definen tres tipos de generadores.
Actuales: los que pertenecen al sistema Interconectado.
Independientes: que utilizan el sistema Interconectado GDzth - uTN(z) LDuzth = 0
para su generación propia y para comercializar energía.
cogeneradores: que producen en forma combinada
electricidad y calor para uso industrial y venden energía
y potencia a terceros-Mercado de corto plazo: sistema GDzth + GHAzth + DEFzth = DEMzth
de intercambios hora a hora valorados al costo marginal
de corto plazo- Mercado de largo plazo: sistema de
contratos bilaterales a plazos superiores a un (1) mes.
ENuth - jL1(u) GTEjuth
A2 Caracteriza detalladamente a los grandes consumidores
industriales y comerciales. - vL2(u) LLvuth = 0
A3 Limita los contratos bilaterales a una duración no mayor
de dos (2) años.
A7 Define el tratamiento tarifario para los usuarios que no
son grandes consumidores, el cual se regirá por la junta
nacional de tarifasIn 2002, URRA S.A. E.S.P., that generates and sells the energy produced by the Central Hidroeléctrica URRÁ I (located in the Department of Córdoba, Colombia), hired DW to give them technical support in several aspects related to the regulation of the Colombian electricity sector, specifically related to the “capacity charge” and its impact in the definition of the guide curve that should be declared to the system operator, having in mind that the central must provide flood control services.
In 2007, THE COLOMBIAN SUPERINTENDENCE OF DOMESTIC PUBLIC
SERVICES hired DW for the implementation of a system of models in
order to track the electricity market in Colombia. The main model is
based on the optimal dispatch of the interconnected system at
minimum cost.
Caribe
2297 MW Nordeste
340 MW
1550 MW
920.2 MW
Antioquia 1285 MW 101.5 MW 700 MW
Chocó 1270 MW
2546 MW
San Carlos
806 MW
181 MW
26.2 MW
561 MW
CHEC 3073 MW 230 MW
1431
MW 1950 MW
1250 MW
Sur Occidente Centro OrienteThe SUPERINTENDENCE OF PUBLIC DOMESTIC SERVICES OF COLOMBIA hired DW in 2010 to implement a system of models to simulate joint operation of the electricity market and the gas market in Colombia. The models include the gas transport system, the production and handling of liquefied gas by liquefaction and regasification.
In 2010, THE COLOMBIAN SUPERINTENDENCE OF DOMESTIC
PUBLIC SERVICES hired DW to implement a model system to track
electricity market in Colombia based on a Nash-Cournout
equilibrium model that simulates dominant positions of generators
that maximize its revenue.
EQUILIBRIO MERCADOS IMPERFECTOS
PRECIO
($/Q)
Función de oferta
D-1(s)
VARIACIÓN EN EL
PRECIO QUE
FAVORECE
AL PODER DE
MERCADO
Función de demanda
S-1(s)
DISMINUCIÓN
EN LA CANTIDAD
Q CANTIDAD (Q)
12CURVA DE OFERTA ÓPTIMA DE ENERGIA A LARGO PLAZO
FUNCIÓN DE UTILIDAD: MAXIMIZAR MEAN-VARIANCE (a)
In 1996 the company EMPRESA Ventas
Largo Plazo PSPmax
PSPmin
DE ENERGÍA ELÉCTRICA DE QC (MWh) INCERTIDUMBRE
PRECIO DEL
BOGOTÁ (EEEB) hired DW to SPOT
develop a model that supports
decision-making relating to the QC(PC|a)
“ Energía
market of electricity in the long Firme”
(EF)
run, to the nascent market for
wholesale electricity in Colombia.
VENDER TODO REPARTIR LOS RIESGOS VENDER TODO
EN EL ENTRE EN EL
The ETRM (Energy Trading & Risk SPOT EL SPOT Y LARGO PLAZO LARGO PLAZO
Management) model was used in
the evaluation of bids for purchase
of energy by the EEEB and others 0 EPS Precio
power companies in Colombia. E [Precio Spot] Largo Plazo
PC – ($/MWh)In 2008, CENTRAL HIDROELECTRICA DE CALDAS (CHEC) hired DW
for the development a decision support system, to optimize the
planning and scheduling of the power generation and long term
energy marketing.
Models were provided for:
HID-SIM HID-KAL
▪ Synthetic hydrology generation
Precios
Generación Sintética
MATALAS
Hidrolog
ía
Estimación de Estado
KALMAN FILTER
Spot ▪ Flow forecast based on a Dual
Histórica
Predicción
Históricos
Kalman Filter
MODSEI
Despacho Óptimo
Aportes
Horas-Días PBO
▪ ARMAX-GARCH models for the
SIN Modelos Estadísticos forecast of electricity prices
ARIMA-GARCH
Proyección ▪ Optimal dispatch of the Colombian
Precio Spot Predicción
Mensual x Precio Spot electric system/market
Bloques Horas-Días
▪ Investments optimization
OPT-PES OPT-MAN OPT-MER OPT-POD ▪ Plant maintenance optimization
Optimización
Optimización Diseño
Red Generación
Optimización
Mantenimiento
Compra/Venta
Optimización
Operación Diaria ▪ ETRM: Electricity Trading and Risk
Electricidad
Mangement
Capacidad Optima Planes Políticas Políticas ▪ Power plants network operations
Infraestructura Mantenimie
nto
Comerciales Operativas optimization.On August 1998, ELECTROCOSTA and ELECTRICARIBE were born, two electricity distribution companies on the Atlantic Colombian Coast, that were capitalized by 65% by the consortium formed between HOUSTON INDUSTRIES and ELECTRICIDAD DE CARACAS, the remaining 35% was in the hands of the previous distributors and CORELCA. All the assets and some liabilities of the original companies were transferred. ELECTRICIDAD DE CARACAS hired DecisionWare services to perform the due diligence of the asset valuation that was sold by the nation.
The Río Piedras Hydropower Plant, located in the Department of Antioquia (Colombia), 90 km southwest of Medellin, has an installed capacity of 19.9 MW. In 1996, the Alliance INTEGRAL S.A. INGENIEROS CONSULTORES and GENERADORA UNION hired HydroEnergy Consulting Ltda. (company operated by DecisionWare Ltda.) for the economic evaluation of the project Rio Piedras. The project included the hydrological study, modelling of optimal design of the generating capacity and the storage capacity of a possible “reservoir” and the financial evaluation of the project. Everything in the light of the new regulation of the Colombian Wholesale Electricity Market, created in 1995.
DecisionWare has conducted the financial evaluation
and/or optimization of the sizing of the infrastructure of
investment projects (expansion/purchase/redesign) on
electricity generation capacity for multiple companies.
C.A. La Electricidad de Caracas, SACA
CEA AMÉRICAS (hoy )
QUORUM
INGENIERÍA S.A.
GENERAR S.A. E.S.P.
(Comprada por CELSIA)In December of 2013, EPM (Empresas Publicas de Medellin S.A. E.S.P.) selected AIMMS as one of its optimization platforms. DW was the dealer of the software licenses.
Since 2010, in partnership with Nexsys, DW has supplied, to various companies in the Peruvian electricity sector, IBM-ILOG modeling tools to be incorporated into simulation models of interconnected electric system dispatch of Peru.
In the energy sector, DW has AES CHIVOR. S.A. E.S.P.
AMBIOTEC S.A.
completed consulting projects and / ASEP (Panama)
or training based on mathematical BP British Petroleum Exploration Company (Colombia) Ltd.
modeling aspects, for the following CEA AMÉRICAS (hoy PSEG)
companies: Central Hidroeléctrica de Caldas E.S.P. (CHEC)
Corporación Electricidad de Caracas S.A.C.A.
ELECTROLIMA E.S.P.
EMCALI E.I.C.E.
EMGESA S.A. E.S.P.
Empresa Colombiana de Petróleos S.A. (ECOPETROL)
Empresa de Energía de Bogotá S.A. (EEB)
Empresa de Energía del Pacífico S.A. E.S.P. (EPSA)
Empresa Públicas de Medellín S.A. E.S.P. (EEPPM)
Generadora Unión S.A. E.S.P.
GENERAR S.A. E.S.P.
GLOBELEQ Generation Limited
GÓMEZ, CAJIAO & Asociados Ingenieros Consultores
ISAGEN S.A. E.S.P.
Mercados Energéticos (Argentina)
PetroTiger Ltd.
Quorum Ingeniería S.A.
San Gabán S.A.
Superintendencia de Servicios Públicos Domiciliarios (SSPD)
Teknecon Energy Risk Advisors (TERA)
URRA S.A. E.S.P.VIRTUAL EDUCATION - COMPANIES WHERE WORK SOME OF OUR STUDENTS
OPCHAIN-OIL OPCHAIN-E&G-RET
Gasoline Distribution
Service Stations OPCHAIN-OIL-REF
OPCHAIN-OIL-EPE
Petroleum Refining
Upstream Project
Tactical Optimization
Portfolio Optimization
OPCHAIN-OIL-PRO OPCHAIN-OIL-REF-ISO
Fields Oil Petroleum Refining
Production Industrial Services
COMMON
DATA MODEL
OPCHAIN-PRO-ELE OPCHAIN-OIL-PIPES
Supply of Electricity Oil & Refined Products
in Oil Fields Transport Pipelines
INFORMATION
SYSTEM
OPCHAIN-OIL-BLEND OPCHAIN-OIL-SEA
Transport and Oil & Refined Products
OPCHAIN-OIL-TSO
Blending of Oil Transport by Vessels
Oil & Refined Products
Multimodal TransportOPCHAIN-OIL
OPTIMIZING THE OIL VALUE CHAIN
OPCHAIN-OIL consistently brings together all it solutions developed by DW in different areas of
application of mathematical programming models oriented to the optimization of planning and scheduling
operations in the different businesses that make up the petroleum products supply chain.
OPCHAIN-OIL is composed of the following mathematical optimization models:
▪ OPCHAIN-OIL-EPE: upstream project portfolio optimization
▪ OPCHAIN-OIL-PRO: oil production
▪ OPCHAIN-OIL-PRO-ELE: supply of electricity in oil fields
▪ OPCHAIN-OIL-BLEND: transport and blending of oil
▪ OPCHAIN-OIL-REF: refining of petroleum (tactical)
▪ OPCHAIN-OIL-REF-ISO: oil refining including industrial services
▪ OPCHAIN-OIL-PIPES: transport of oil and/or refined products through pipelines
▪ OPCHAIN-OIL-TSO: multimodal transport of crude and/or refined products
▪ OPCHAIN-OIL-SEA: distribution/collection using maritime transport
▪ OPCHAIN-OIL-RET: distribution of gasoline to service stations
OPCHAIN-OIL-SCO (Oil Supply Chain Optimization) integrates aggregates models of each
link in the oil supply chain for the strategic and tactical planning with a holistic vision.In 2009 ECOPETROL hired DW for the design and implementation of decision support systems for the optimization of energy resources. The project involved the design and implementation of an integrated model that links all steps of the supply chain of petroleum products, with emphasis on the consumption and marketing of the energy used by the network. Models made included: i) production of crude oil, ii) transportation of crude oil, iii) oil refining and bio-mass and iv) transport of refined.
Pacific Rubiales Energy (PRE), a public company listed on the Toronto and
Colombian stock exchanges, is the largest independent oil and gas exploration
and production company in Colombia. In January 2014, PRE selected ESEI
S.A. (Energía Sostenible Eficiente e Innovadora S.A.) to develop the project
“FORMULATION OF THE SCHEME OF MANAGEMENT OF ELECTRIC
POWER IN THE OIL FIELDS OF THE LLANOS ORIENTALES ”.
The project includes OPTIMIZATION
SOFTWARE FOR THE DEVELOPMENT
OF A STRATEGIC MANAGEMENT AND
EXPANSION OF ELECTRICITY
GENERATION CAPACITY, whose
development was assigned to DW.In 2010 ISI SOLUTIONS selected DW, to design and implement models for real-time optimization operations in its pipeline systems for ECOPETROL. Those models include the use of pumps and optimization of operating conditions, based on detailed models of the hydraulic behavior of the system components.
ECOPETROL, in 2003 hired DW for the design of mathematical
models to plan and schedule its pipeline system, to transport oil
and refined products. Models were assembled by ECOPETROL and
still operate today.
CRUDE OIL
PIPELINE NETWORK
Current Future
Capacity Capacity
( 18” ) CAR Current Coverage
113.3 134.0. Utilization Period
91.0 >2002
( 12” )
36.0 36.0 ( 18” + 20” + 24” )
29.2 >2002 215 215 Caño
Ayacucho Limón
141.4 >2002
Coveñas ( 16” ) ( 8” )
55.6 55.6 14.8 14.8
14.6 >2002 ( 18” )
33.0 >2002
68.1 68.1
58.0 >2002
OCENSA 30”
290 290
290 >2002
CIB
Araguaney
Sebastopol
ODC 24”
212 212 Cusiana
179 >2002 ( 14” + 12” )
( 20” )
170 225.0 41.5 41.5
149.7 >2002 37.8 >2002
Porvenir
Vasconia ( 36” + 30” ) (16”)
615.0 615.0
( 20” ) 57.6 57.6
544.0 >2002
94.8 94.8 62.8 >2002
74.8 >2002
*
* Requires DRA
Apiay
T enay
PAD 1999 - 2010
PLANEACION - VIT
Revisión January 99OPCHAIN-SDCO
OPTIMIZING THE VALUE CHAIN
SUPPLY & DEMAND CHAIN OPTIMIZATIONVALUE ADDED CHAIN
SUPPLY
CHAIN
DEMAND
CHAINOPTIMIZATION MODELS FOR INDUSTRIAL VALUE CHAINS
TACTICAL PLANNING DEMAND SUPPLY
Marketing-Mix
Market-Share STRATEGY Sourcing
Optimization
Optimization
ERP
Marketing Budget Resilient
Events Scheduling Material
Supply Chain Purchase
Marketing Mix Decisions Historical Data Consumption
Design Orders
Sales – Inventories Goals
Syndicated Data Bases
Expansion Production
Demand Plans Scheduling
Probabilistic Long-Term
Pricing Characterization Demand
Optimization Models Forecast Production
Production
Goals Orders
S&OP
Projection Sales & Operations
Demand & Prices Planning ATP
Demand Available-To-Promise
Suggested Characterization: Production Clients
Order Clients & Competence Routes
Policy of
Optimization Inventories
Medium-Term
Short-Term Distribution
Demand Distribution
Suggested Demand Orders
Forecast Multi-Echelon Goals
Order Forecast
Inventory Optimization
Inventories
Balance Distribution
Routing
Policy of
Inventories Inventories
Redistribution
OPERATIONS STRATEGY TACTICAL PLANNING OPERATIONSOPCHAIN-SCO
OPTIMIZING THE VALUE CHAIN
SUPPLY CHAIN OPTIMIZATIONOPTIMIZATION MODELS FOR INDUSTRIAL SUPPLY CHAINS
DEMAND SUPPLY
STRATEGY Sourcing
Optimization
Resilient
Material
Supply Chain Purchase
Consumption
Design Orders
Goals
Expansion Production
Plans Scheduling
Long-Term
Demand
Forecast Production
Production
Goals Orders
S&OP
Sales & Operations
Planning ATP
Demand Available-To-Promise
Characterization: Production Clients
Clients & Competence Routes
Policy of
Inventories
Medium-Term
Distribution
Demand Distribution
Orders
Forecast Multi-Echelon Goals
Inventory Optimization
Distribution
Routing
STRATEGY TACTICAL PLANNING OPERATIONSIn August 2015, CEMENTOS ARGOS selected DW to design and
implement a set of mathematical optimization models to support
the optimization processes in its cement production plants.
ARGOS choses the Yumbo Plant as a
pilot project, to implant the following
models oriented to:
i) Planning and scheduling of the
production batches, considering as
main objective function to be the
reductions of cost and energy
consumption, considering the
emissions constraints.
ii) Real Time Optimization that keeps
the operating process adjusted to
its "optimal" set-points
The project was started in February
2016In June of 2016, PREPAC LTDA., a SME (Small and Medium Enterprise, PYME in Spanish) in the sector of plastics in Colombia, hired DW to support the strategic planning for the period 2017-2022, this implied the design and implementation of a set of mathematical models to: i) simulate the PREPAC production process for strategic analysis, and ii) schedule the daily operations to satisfy the orders of its clients.
In May of 2016, TECNOQUIMICAS S. A. (founded in 1934), a leading company in the production and marketing of products and services in the areas of health, personal care and household grooming, processed foods, and agricultural and veterinary products in Colombia and Latin America, selected DW to design and implement a mathematical model to determine the services and facilities that optimized the distribution network of its multinational clients.
In January 2015, JOHNSON & JOHNSON selected DW to carry
out a process of consulting oriented to support J&J in the
planning processes of hospital services in SLA (Spanish Latin
America: Colombia, Mexico, Chile, Peru, Costa Rica and Puerto
Rico) through the line of business of DePuy Synthes. DW will
implement mathematical models to optimize customer service
policies and to determine the optimum inventory levels at each
distribution center in each of the SLA countries.In august 2014, Alpina Productos Alimenticios S.A. (ALPINA)
selected DW to implement an S&OP model in order to plan its
supply chain. ALPINA is a Colombian dairy, food, and beverage
company that operates in Venezuela, Colombia, Ecuador and the
USA. Its products include beverages, milk, baby food, desserts,
cheeses, cream and butter, and finesse products. The company
is the third largest dairy producing company in Colombia with
sales over US$700 million.BAVARIA, now a subsidiary of SABMiller plc, the largest beverage
company in Colombia, with sales of 800 million USD (1999), hired
DW in 1991 to develop models for tactical and strategic planning,
which have been used for over twenty (20) years. In 1998, planning
models allowed to plan a supply chain consisting of 18 production
plants, 42 bottling lines and more than 230 SKUs.
Cebada MALTERIAS
Malta
Malteados
Cerveza
CERVECERÍAS
Mano de Obra LÍNEA ENVASADO CANALES
DISTRIBUCIÓN
LÍNEA ENVASADO
Refrescos
LÍNEA ENVASADO
CENTROS
CONSUMO
$ Botellas
Recursos
No-Explícitos
PRODUCTORAS
DE
REFRESCOS VIDRIERASIn August 2013, BAVARIA-SABMILLER PLC, after 20 years of continuously using the PCSI and analyzing multiple similar technological alternatives for its replacement, again selected DW to begin a process of technological modernization of the PCSI, and several complementary models (CNO, DNO and BLUE SKY).
In 2004 COLCERÁMICA chose DW to design and implement a
tactical planning solution that optimizes its distribution supply
chain. The models were based on mathematical programming and
were implemented in GAMS.
MADRID BOGOTA
National
MEDELLIN
GIRARDOTA MADRID B/QUILLA
B/MANGA
Processing PEREIRA
GIRARDOTA
Plants CALI
ECUADOR
MADRID CARTAGENA PERU - BOLIVIA
Exports
VENEZUELA
GIRARDOTA
Distribution CENTROAMERICA
Centers CHILE
CANADA - USA
Packing Zones
Consumer ZonesIn 2010, COLCERÁMICA chose DW to design and implement an ATP
(Available-to-Promise) like solution that finds the optimal allocation
of products to client orders
OPCHAIN and Chain
- Supply delivery orders to vehicles. The
solution is linked to its
SUPPLY ERP
CHAIN and WMS in order to execute the next 15
OPTIMIZATION
dispatch plan days.
PLANIFICAION PCO
ERP ESTRATÉGICA OPTIMIZACIÓN
“ON-LINE” COMPRAS
PEDIDOS DE CLIENTES DRD REQUERIMIENTOS
COMPROMETIDOS DISEÑO CADENA ORDENES DE
DE MATERIALES COMPRAS
ABASTECIMIENTO
ESCENARIOS DE DEMANSA
DE LARGO/MEDIANO PLAZO
POD
PLANES DE PROGRAMACIÓN
EXPANSION PRODUCCIÓN
METAS DE ORDENES DE
PRODUCCION
PTA PRODUCCION
PLANIFICACIÓN
TÁCTICA
ATP-D
OPERACIONES
ASIGNACIÓN
PRODUCTOS
POLITICA DE PEDIDOS
DEM INVETARIOS
LONG/MEDIUM/SHORT
TERM DEMAND METAS DE ORDENES DE
DISTRIBUCIÓN DISTRIBUCION
INV
POLÍTICAS
INVENTARIOS
DIS
ASIGNACIÓN
PEDIDOS A VIAJES
PLANIFICACION
TÁCTICA SCHEDULINGRYMCO, a Colombian midsize exporter company, health plastic
products manufacturer, hired DW (2004) to develop its Advanced
Planning and Scheduling System. This system supports sourcing,
production and distribution optimization. It also handles over
1200 SKUs and includes special equations to handle Colombian
Suppliers
export incentives (called Plan Vallejo)
Nationals
Internationals
Injection
Raw Packing
Materials Extrusion
Plasma Assembly Sterilization
Print and Quarantine
Parts
Combos
WH 1 WH 2 WH 3
Order Clients
WarehousesIn 2007, ESPUMLATEX, chemical company expert in handling
polyurethanes products, hired DW to implemented an APS
(Advanced Planning and Scheduling) based on OPCHAIN
mathematical models. This solution is focused in the just-in-
time contracts signed by ESPUMLATEX with the main
automotive assemblers.
INV
Inventory
Policy
DEM
Medium / Short Term Inventory
Medium/Short Term Policy
Demand Projection
Demand
S&OP
Tactical Planning
Production
Goals
POD POD POD POD
Scheduling Scheduling Scheduling Scheduling
Factory 1 - Company 1 Factory 2 -Company 1 Factory 1 - Company 3 Factory 2 -Company 3
POD
Scheduling
Factory 1 - Company 2DW has implemented, for one of the largest
Venezuelan pharmaceutical laboratories, large
scale optimization models to integrate
INV production planning and production
Políticas
Inventarios scheduling in their plants in order to minimize,
Proyección Mercado
setup times and format changes in the
Mediano/Corto Plazo
machines, to optimize the inventory policies
DEM and raw material acquisition planning and to
Demanda
Mediano/Corto
Plazo Política
maximize the service level of each product.
Inventarios This project was delivered in 2011 integrated
with SAP ERP.
S&OP
Planificación Táctica Metas de Consumo
Materias Primas – Insumos - Recursos
Metas de
Producción
POD POD PCO
Programación Programación
Optimización Compras
Planta 1 Planta 2OPCHAIN-SCO-AGR
OPTIMIZING THE VALUE CHAIN
SUPPLY CHAIN OPTIMIZATION
for AGROINDUSTRIAL ENTREPRISESREYBANPAC and LA FAVORITA FRUIT COMPANY hired DW in 2010 for
the development tactical optimization models for the banana picking
and packing process. The company distributes 32 generic brands
produced in 50 farms and has 113 packing lines, which handle
multiple banana cohorts within Ecuador.
Granjas/Haciendas
Cultivos/Lotes
Centros de Acopio
Plantas Empaque
Centros de Distribución Puertos
Tiendas SupermercadosSince 2009, BANACOL, the biggest Colombian banana producer and
one of the most important fruit traders of Latin America, developed
together with DW a solution to optimally assign fruit to their clients,
which considers in detail all its bi-laterals supply contracts and the
long-term contracts of shipping capacity.
Procesamiento Empacado
en Fincas Cuartos Fríos
Materias
Primas Línea
Empaque 1 Aeropuertos Puertos
Zonas de
Consumo
Productos
Cultivos
Materia
PrimaSUGAR CANNE
CLUSTER In 2004, as part of its research and development (R&D)
process, DW supported the development of a optimization sector model for the
integrated management of the sugar canne cluster in Colombia. This model solves
the cane selection problem taking into account the micro-climate characteristics
and the soil of the farms.
PROTOTYPE MODEL
Fincas (Eslabón Primario)
CULTIVOS Insumos de
Producción de caña Ingenios (Eslabón Secundario)
Caña de
Azúcar Azúcar CENTROS
INGENIOS DE ACOPIO
Azúcar
Insumos de Fábricas (Eslabón Industrial)
Producción de azúcar
Insumos PLANTAS DE
TRANSFORMACIÓN Líneas Empaque CANALES
Subproductos Insumos del DISTRIBUCIÓN
Eslabón Industrial Línea Empaque
Alimentos
Bagazo
Energía y Papel Línea Empaque
Cachaza
Melaza Sucroquímica Línea Empaque
CENTROS
Miel Alcohol y Línea Empaque CONSUMO
Licores
Azúcar Crudo
Insumos EmpaquePoultry Farm
Santa Elena Peninsula PROTOTYPE MODEL
CUÁNDO Y CUANTOS POLLOS COMPRAR?
In 2010, as part of its R&D
processes, DW supports
the development of an
optimization model for the
management of the
industrial production of a
poultry farm located at the
Santa Elena Peninsula in
Ecuador. The model
determines the medium-
term planning of the farm
sheds.PROTOTYPE MODEL
Pollo Sacrificado a SKU
GRANJA
POLLOS
ENTEROS
EMPACADOS
Pollos
por Pollo
Sacrificado Pollos
Calidad
In 2010, a Peruvian (Raza y Peso) (Entero) Enteros
Por Calidad
poultry company asked (SKU)
DW to implement an POLLOS
PLANTA ENTEROS
optimization model for SACRIFICADOS PEDIDOS
the allocation process (En und y/o
Kg)
of chicken, from farms Inventario Pollo Entero Pollo
to industrial plants and Inventario Partes de Sacrificado
Pollo
to assign whole chicken (Piezas)
Piezas
and cuts clients. PARTES de
Pollo
(SKU)LIVESTOCK FARM
CAJICA - COLOMBIA
VACAS EN LA FINCA
Variable: VE(e,p,t)
Vacas en la finca VE
In 2004, as part of its
Research and Development
Process, DW supported the
development of an
optimization model for the
management of livestock t01 t02 t03 t04 t05 t06 t07 t08 t09 t10 t11 t12 t13 t14 t15 t16 t17 t18 t19 t20 t21 t22 t23 t24 t25 t26
production (milk) which is Periodo de tiempo (t)
used on a farm in the area of e01 e02 e03 e04 e05 e06 e07 e08 e09 e10 e11 e12 e13 e14 e15 e16 e17
e18 e19 e20 e21 e22 e23 e24 e25 e26
Cajicá, Colombia.OPCHAIN-MINES
OPTIMIZING THE VALUE CHAIN
MINES & METALLURGICAL CHAIN OPTIMIZATIONIn August 2015, CEMENTOS ARGOS selected DW to design and
implement a set of mathematical optimization models to support
the optimization processes in its cement production plants.
ARGOS choses the Yumbo Plant as a
pilot project, to implant the following
models oriented to:
i) Planning and scheduling of the
production batches, considering as
main objective function to be the
reductions of cost and energy
consumption, considering the
emissions constraints.
ii) Real Time Optimization that keeps
the operating process adjusted to
its "optimal" set-points
The project was started in February
2016OPCHAIN-DCO
OPTIMIZING THE VALUE CHAIN
DEMAND CHAIN OPTIMIZATIONOPTIMIZATION MODELS FOR INDUSTRIAL VALUE CHAINS
TACTICAL PLANNING DEMAND SUPPLY
Marketing-Mix
Market-Share
Optimization
ERP
Marketing Budget
Events Scheduling
Marketing Mix Decisions Historical Data
Sales – Inventories
Syndicated Data Bases
Demand
Probabilistic
Pricing Characterization
Optimization Models
Projection
Demand & Prices
Demand
Suggested Characterization:
Order Clients & Competence
Optimization
Short-Term
Suggested Demand
Order Forecast
Inventories
Balance
Policy of
Inventories Inventories
Redistribution
OPERATIONS STRATEGYIn June 2014, GRUPO NUTRESA hired DW to develop the study of evaluation of the potential of the food market in Colombia, whose results will be used to make strategic decisions on the expansion of its food supply chain. The database used was NIELSEN®. Two statistical models were developed: i) bottom-up demand, and ii) market share. Another model developed was a marketing-mix optimization model, oriented to define the marketing-mix decisions relatedto market share.
COMPAÑIA NACIONAL DE CHOCOLATES, now owned by NUTRESA Group, hired DW to develop solutions to support their sales and marketing operations. The solution optimizes the supply of products to the traditional channel (Suggested Order) and the sales force. The project involves the integration of data mining methodologies with mathematical programming models.
In 2010, LIBRERIAS GANDHI selected INTELISIS to implement an optimal solution to manage their inventories which involves: i) the characterization of the demand for their products, ii) the determination of optimal minimum inventory levels and iii) the inventory balancing among all its distribution centers and 25 shops. INTELISIS subcontracted DW to develop the mathematical models.
In 2009 CELSC, The Center for Emerging Logistics and Supply
Chains (USA), chose DW to Develop a prototype solution to
Optimize Service Models for Distribution Channels. The prototype
is based on development in CocaCola's retail model in Mexico
Venta Entrega Ejecución
Toma de
Desarrollo de Mercado Entrega Cobranza Ejecución
Pedidos
Función de Dedicación Canal de Esquema Frecuencia Esquema Responsa Responsab
Desarrollo Contacto programad ble le
de a Ejecución Merchandis
Mercado POS ing
Ninguno
Convenciona Promotor Promotor
Ninguna Ninguna 2X
l
Promotor Inmediato
Anaquelero
Alternativas
Desarrollador Desarrollador
Alta de Mercado de Mercado
Promotor Preventa 3X
Equipo de Equipo de
Promotor Media Equipo de Reparto Reparto
Reparto Posterior
Preventa
Diario Promotor Promotor
Baja Televenta Bulk
Anaquelero AnaqueleroOPCHAIN-TSO
OPTIMIZING THE VALUE CHAIN
TRANSPORT SYSTEMS OPTIMIZATIONOn July of 2014, the Sociedad Portuaria Regional Cartagena S.A. assigned DW the implementation of a set of optimization models for: i) the definition of the time table for the operation, and ii) the allocation of ships to docks and cranes to ships, to optimize the management of shipping services, in the two terminals of the Port of Cartagena.
In 2013, one of the largest vlue conveyor of LATAM, hired DW to design,
the implementation and the start-up of a decision support system to
optimize its distribution of cash and securities operations. The reason for
this selection is based on DW’s capacity to manage, through their
mathematical models, complicated business rules that must be respected.
CAJEROS SUCURSALES
TRANSPORTADOR
AUTOMÁTICOS
BODEGAS/TESOROS CLIENTESIn 2005, DW designed and implemented a mathematical model
a mathematical model to determine the services and facilities
that optimize the distribution network of its multinational
clients, allowing them to decide to use its own infrastructure,
or alternative third-party infrastructure, for the largest
logistics operator in Colombia.
CLIENTES
CROSS
BODEGAS DOCKING RETAILERS
Fabricas en el
Exterior
Cartagena
HUB
Bogotá
PANAMA Cali
Cartagena (Alterna)
PUERTOS
Cali Medellín
CARTAGENA BUENAVENTURA Medellín
BOGOTÁIn 2009, COLTANQUES the largest mass transport Colombian company,
hired DW to implement a computer system based on optimization
models to help them coordinate their own fleet, consisting of more
than 400 trucks, 400 van type trailers, 200 tanks and 500 drivers.
Additionally, it manages relationships with more than 2,000 other
transporters. The solution delivered to COLTANQUES was implemented
using IBM ILOG tool.
WAREHOUSES
IPFt,i,p IPFt,i,p
IRMt,i,rIn 2007, DIEX, a logistics operator with operations in Bogota
Colombia, acquired from DW mathematical models for urban
planning operations. The models perform optimal routing
distribution for trucks, and includes the allocation of the orders
to be delivered, which is handled at the level of the boxes that
contain the products.
Warehouses
Destinies
Clients
Route
Vehicle
ZonesGAS PAIS is a Colombian company that distributes and
markets propane gas, using its own fleet of trucks. In 2006
GAS PAIS contract DW to provide them with the following
mathematical models:
• Optimization of spare parts inventory policies
• Distribution Planning and propane gas gathering
• Vehicle Maintenance
Vehicle / Equipment
System 1 System … System N
Subsystem 1,… Subsystem 1,S(1) Subsystem 1,1
Component 1,1, … Component 1,1,C(1,1) Component 1,1,1In 2011, PETROLEOS DE VENEZUELA (PDVSA) requested
INGENIERIA INGENIERIA JJN S.A. a prototype for operations aimed at optimizing
JJN S.A fuel distribution to service stations so as to meet the requirements,
respect its operating conditions and minimize costs operation.
INGENIERIA JJN S.A contracted DW to develop the solution
Combustible A
Combustible B
The implemented prototype handles:
▪ 250 orders daily average)
▪ 169 clients/nodes
▪ 139 trucks
▪ 7 loading bays (loading racks)
▪ 3 shifts
▪ Time windows service for each
customer
▪ Limited number of loading racks in
the filling facilities
▪ Preparation time for change in
product loadedPROTOTYPE MODEL In 2010 a Peruvian mining company asked DW to implement an optimization model for the allocation of vehicles for the transportation of materials within the area of operation in its mines.
In 2010, DW developed and implemented a prototype
model for planning and scheduling the allocation of fishing
boats to plants, for a Peruvian fishing company (mainly
engaged in the business of fishmeal
▪ Integrated ship routing and production planning.
▪ 100 daily average boats (Treasury: 30%, Third:
Bayovar
70%), 8 destination ports, 2 plants of different
production technology
Samanco ▪ Product qualities associated with degradation time
Supe ▪ Revenue per load unit taking into account
Chancay
Callao product/technology quality, production costs,
distribution and plant operation, and differentiated by
Pisco
technology
▪ Port booking time for the attention of third-party
Mollendo companies, and their products placement in nearby
Ilo plants (distanceOPCHAIN-RPO
OPTIMIZING THE VALUE CHAIN
REGIONAL PLANING OPTIMIZATION826891.59 840
539.09
1191 899.61
1191 899.61
In 2004, the Planning Department of the Municipality of Medellin
hired DW to advise them on the development of master plans of
social facilities like schools, security services, libraries and others.
826191.29
826191.29
841
203.54
841
203.54
1192 918.65
1192 918.65
1192 918.65
1192 918.65
This optimization models were linked to the municipality's GIS.
BB
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SERVICIOS B I -4
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SERVICIOS B I -4
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B I-1
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B I -6 0 7 B I -4 -1 -3 3 B IB
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BIBLIOTECAS
CONSTRUIDAS
1173
1173
282.07
282.07
BILIOTECAS NUEVAS
826891.59 840
539.09N
Scale 1:80421
0 9km
0 9 Km.In 2005, DW was hired again by the Planning Department of the City of Medellin to develop a spatial techno-economic input/output model to simulate the future land use in order to evaluate land management policies. The optimization model, based on maximizing partial social surplus, incorporates the following subsystems: business, housing, public space, employment, transportation.
In 2006, the Planning Department of the City of Bogotá hired the Scientific
Director of DW to design mathematical models to optimize the master plans that
are part of the Land Use Plan (POT).
MASTER PLANS
▪ Food Supply
▪ Solid Waste Processing
▪ Public space
▪ Health Facilities
▪ Educational buildingsIn 2006, DW developed a computable platform to support public
management for the Planning Department of the City of Bogotá based
on a computable general equilibrium model (CGE) to simulate the
evolution of the economy of the city and its area of influence as a
result of implemented investment projects. The model was
implemented in GAMS using a web platform.
PLATAFORMA COMPUTABLE PARA SOPORTE DE LA GESTIÓN PÚBLICA
POT BANCO DE
PROYECTOS
MODELO
OPTIMIZACIÓN
SELECCIÓN
PORTAFOLIO
“OPTIMO”
ORDENAMIENTO INVERSIÓN PROYECTOS
DEL PROYECTO 1
TERRITORIO PROYECTO 2 PROYECTO 1
MAXIMIZACIÓN PROYECTO 2
PROYECTO Z
PLANES
MAESTROS
FUNCIÓN DE UTILIDAD PROYECTO N
EQUIPAMIENTOS SOCIAL MULTICRITERIO
MODELO MODELO
EVALUACIÓN
IMPACTO
SIMULACIÓN MCS
DINÁMICA
SOCIO-ECONOMICO DE LA ECONOMIA MATRIZ
INDICADORES: • MACRO DE
• MACRO/MICRO CONTABILIDAD
• IDH SOCIAL
• MICROIn 2010, EMASEO select DW (in alliance with Castelblanco &
Asociados) for a consultancy to define service routes for the
solid waste collection in the Metropolitan District of Quito. The
model included the optimal allocation of resources.
Punto de
Transferencia 1
Nodo de
Salida/Llegada
Punto de
Transferencia 2On 2010, The Civil Registry for identification and registration of voters of Ecuador, selected Castelblanco & Asociados Consultores (Guayaquil) and DW to make a consulting Project for the potimization of the dynamic planification for the process of the massive registration of voters of the population of Ecuador
OPCHAIN
OPTIMIZING THE VALUE CHAIN
GENERAL PROJECTS IN OPTIMIZATIONDW has developed OPCHAIN SIPHRI – A COMPREHENSIVE SYSTEM OF WATER RESOURCE PLANNING - oriented to the comprehensive regional planning in all aspects related to the intensive use of water resource, the model addresses the multiple uses provided and/or for the control and resource management. The origin of this model dates from the early eighties, when the company PDC Engineering S.A. developed and used, in Venezuela, the basic model in the following projects:. • Master Plan for Water Resources Zulia State (1980) • Irrigation System Design-Orituco Guárico (1979) • Master Plan Maracaibo Aqueduct (1980)
On 2008 HUMAN CAPITAL hired DW for the development of a model
that focuses on increasing the productivity of its customers in terms of
human talent. This solution: Determines the optimal workforce
allocation, reallocates human resources and creates jobs positions and
profiles.
ORGANIZATION
WORKFLOW Site Geographic
Process
Demand Location
Tasks Activities Processes
Administrative Operation
Actions Structure Level
Dapartments
Time Consumed
Labor Market
JOB Standard
CATALOGUE Jobs Costs Jobs
Job Profile
Real Costos
CURRENT
JOB People
STRUCTURE
People ProfileOn 2012, COLEGIOS PERUANOS, hired DW to support their decisions about scheduling and designing capacities of 19 schools in Peru (time-tables). Services were hired under “optimization on demand" so that DW provided models and "hosting services" to solve this models when COLEGIOS PERUANOS needs the service. COLEGIOS PERUANOS belongs to INTERBANK GROUP.
INGENIERIA On 2011, INGENIERIA JJN C.A., a Venezuelan Engineering company
with over 26 years experience, select DW for the development and
JJN C.A implementation of mathematical models for the optimization of the
construction process in the shortest possible time, and respecting
constraints, budget, resources, space maneuverability. The model
supports planning the construction of a set of nine (9) buildings.In 2005, SEGUROS BOLÍVAR S.A. contracted DW to develop
mathematical models for the financial risk management business of
transport insurance.
The aim was to develop a
theoretical framework with
corresponding technological
development through a prototype
model to implement a system of
measurement and control risks in
accordance to standards
established by the “FINANCIAL
SUPERINTENDENCE” for the
insurance industry. A non-
anticipative stochastic optimization
model was implemented, following
the ALM (Asset Liabilities
Management) methodologies.TECHNOLOGICAL ALLIANCES
"the computer-based
mathematical modeling is the
greatest invention of all times"
Herbert Simon
First winner of the economics nobel prize (1978)
"for his pioneering research into the decision-making process
within economic organizations"A Knowledge Company Supporting
Your Smarter Decision
info@decisionware.net
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