data analytics and optimization in supply chain and logistics metin türkay
DESCRIPTION
Data Analytics and Optimization in Supply Chain and Logistics Metin Türkay Department of Industrial Engineering Koç-IBM Tedarik Zinciri Araştırma Merkezi Koç University ICT LEIT in H2020 Info Day December 6, 2013, İstanbul. RESEARCH PHILOSOPHY. Sustainability Energy Efficiency - PowerPoint PPT PresentationTRANSCRIPT
Data Analytics and Optimization in Supply Chain
and Logistics
Metin TürkayDepartment of Industrial Engineering
Koç-IBM Tedarik Zinciri Araştırma MerkeziKoç University
ICT LEIT in H2020 Info Day December 6, 2013, İstanbul
SustainabilityEnergy EfficiencyOptimality
Logic-BasedHybridMulti-Scale
RESEARCH PHILOSOPHY
CONCEPTS
MODELS
ALGORITHMS
REAL-LIFE APPLICATIONS
RobustEfficientScalable
SynthesisDesignAnalysis
Optimization: MINLP, MILP, MIDOData Driven:Numerical or categorical
Math ProgrammingDisjunctive Progr.Multi-Criteria Opt.
EnergySustainable Fossil FuelsSmart Electricity GridRenewable Energy
SCM&LogisticsStrategic, Tactical, OperationalSustainable SCMSustainable Logistics
Systems BiologyMulti-Group Data ClassificationStructure-Based Drug DesignDynamics of Genetic Networks
"Knowing is not enough; we must apply. Willing is not enough; we must do." -Goethe
WHAT IS A SUPPLY CHAIN?
TWO FACTORS
BALANCING ACT
Competitive Strategy
Supply Chain Strategy
Efficiency Responsiveness
Facilities Inventory Transportation
Information
Supply chain structure
Cross Functional Drivers
Sourcing Pricing
Logistical Drivers
EFFICIENCY RESPONSIVENESS
CONCERNS Complexity: supply chains include many activities involving many
entities at different time-resolutions• Design-Plan-Execute: Divide decisions into 3 levels• Strategy-Planning-Operation: Divide decisions into 3 levels
Multi-Scale: span over a vast geography, sectors, players Multi-Echelon Decomposition: Divide into levels
Multi-Faceted: collaboration/competition at threats from different sources
2-Stage: Consider interaction between 2 adjacent players in the supply chain Uncertainty: many sources of uncertainty
Scenario Analysis: Sample a number of possible outcomes and calculate the expectation
Disruptions: everything can go wrong Preparation: overdesign, buffers, safety stock
WHAT IS THE STATE-OF-THE-ART Everything is based on Divide and Conquer strategies Fixed Recipes through policy analysis Little or no work on Rational/Extensible/Coherent approaches
PAST-PRESENT
REAL TIME Uncertainty realization Deviation management Real time optimization Configurability and flexibility
SYNCHRONOUS Do not divide, define new paradigms and mechanisms
DATA INTEGRATED (DRIVEN) Data Information Knowledge no longer the Holy Grail for
Supply ChainsHOPE
IoT: data from everywhere, everything, all the time Big Data: data analytics 3D Printing & Additive Manufacturing: postponement, eliminate
demand uncertainty
CYBER PHYSICAL SYSTEM
FUTURE
BIG DATAD
eman
d
Prices
Decisio
ns/R
eliability
DEMAND ESTIMATION
Periods 1 2 3 4 5Error 0.0116 0.0167 0.0238 0.0215 0.0313
PRICE ESTIMATION
Futures and OptionsLeading Macroeconomic IndicatorsJump DetectionEstimate Horizon: accuracy is sensitive to longer horizonsSuccessfully applied to Steel and Electricity prices
DATA CLASSIFICATION
Dagliyan, O., F. Uney-Yuksektepe, I.H. Kavakli and M. Turkay, Optimization Based Tumor Classification from Microarray Gene Expression Data, PLoS ONE, 6(2), e14579 (2011).
Dagliyan, O., Kavakli, I.H., Turkay, M., Classification of Cytochrome P450 Inhibitors with Respect to Binding Free Energy and pIC(50) Using Common Molecular Descriptors, J. of Chem. Inf & Mod., 49(10), 2403-2411 (2009).
Armutlu,P., M.E. Ozdemir, S. Ozdas, I.H. Kavakli and M. Turkay, "Discovery of Novel CYP17 Inhibitors for the Treatment of Prostate Cancer with Structure-Based Drug Design", Letters in Drug Design and Discovery, 6(5), 337-344 (2009).
Armutlu, P., M.E. Ozdemir, F. Uney-Yuksektepe, I.H. Kavakli and M. Turkay, Classification of drug molecules considering their IC50 values using mixed-integer linear programming based hyper-boxes method, BMC Bioinformatics, 9, 411 (2008).
Uney Yuksektepe, F., O. Yilmaz and M. Turkay, "Prediction of Secondary Structures of Proteins using a Two-Stage Method", Comput. Chem. Eng., 32(1-2), 78-88 (2008).
Kahraman, P. and M. Turkay, "Classification of 1,4-Dihydropyridine Calcium Channel Antagonists using Hyper-Box Approach", Ind. Eng. Chem. Res., 46(14), 4921-4929 (2007).
Uney, F. and M. Turkay, "A Mixed-Integer Programming Approach to Multi-Class Data Classification Problem", European Journal of Operational Research, 173(3), 910-920 (2006)
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Concepts, Models & Algorithms IBM: the first IBM SUR Award in Turkey-2007, IBM Faculty Award-2009, IBM OCR
Award with Haifa Lab, 2012 TÜBİTAK – 5 projects NSF – 2 projects (joint with Carnegie Mellon, UofAkron) European Commission-FP7 – 2 projects (50% for concepts, models & algorithms) European Science Foundation – 1 project TÜPRAŞ – 1 project (50% for concepts, models & algorithms)
Energy and Supply Chains TÜBİTAK – 2 projects KoçSistem – 1 project Mitsubishi Corporation – 1 project TÜPRAŞ – 1 project (50% for energy supply chains) İstanbul Ulaşım – 1 project
Transportation Systems TÜBİTAK – 2 projects Turkish Automotive Manufacturers Association – 1 project European Commission – 3 projects + 1 approved (starting in 2014) KoçSistem – 1 project İstanbul Ulaşım – 1 project Mitsubishi Corporation – 1 project
PROJECT PORTFOLIO
OUR SPONSORS
EC PROJECTS
LOG4GREEN: Green Logistics
IntRaRegio: Intermodal Logistics
OSIRIS: Holistic Approach to Energy Efficiency in Urban Rail
[MapDriver] MapDriver: ICT Innovation Uptake by SMEsfinalizing the Consortium Agreement, will start in 2014
SUMMARY
AT THE INTERFACE ICT Transport Energy Smart Cities and Communities
EXPERTISE Solutions methodology to complex problems Big Data and analytics tools Modeling complex systems Optimization-based solution algorithms
EXPERIENCE Concepts & Models Solution Algorithms A number of real-life projects