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How Supply Chain Companies Can Achieve Decision-Centric Optimization
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ICRON and Gurobi Webinar
An ever-increasing number of companies are investing in supply chain optimization software solutions, powered by mathematical programming solvers like Gurobi. What is the goal of implementing such solutions? It is not only to be able to generate optimal plans, but also to make optimized strategic, tactical, and operational decisions that drive increased efficiency, customer satisfaction and decreased costs. The latter capability is called decision-centric optimization, and many companies are realizing that this (rather than planning-centric optimization) is the most important outcome of implementing an algorithm-based supply chain optimization solution.
In this 40 minute recording, you will learn about:
- What decision-centric optimization is and how you can assess your company’s decision-process maturity
- What you need, in terms of your data, algorithmic, and organizational capabilities, to enable your company to achieve decision-centric optimization
- The technical architecture of ICRON’s Supply Chain Optimization and Optimized Decision Making platform and how it is integrated with Gurobi
- How Gurobi technologies, including multi-objective optimization, infeasibility analysis and warm-start facilitate optimized decision making
- How one supply chain company (consumer electronics manufacturing giant Vestel) achieved decision-centric optimization with ICRON and Gurobi
Presenting this content is Dr. Z. Caner Taşkın – ICRON’s Chief Technology Officer and a Professor in the Department of Industrial Engineering at Boğaziçi University – who specializes in large-scale mixed-integer programming and supply chain optimization software solutions. Caner received his Ph.D. from the University of Florida. He was named the recipient of the 2010 Pritsker Doctoral Dissertation Award given by the Institute of Industrial Engineers (IIE) and his research has been published in many leading Operations Research journals.
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Our Mission
Gurobi strives to help companies make better decisions through the use of prescriptive analytics. We provide the best math programming solver, tools for distributed optimization, optimization in the cloud, and outstanding support. We are committed to improving our solver performance and developing tools to help you use Gurobi with more ease.
Founded in 2008 by arguably the most experienced and respected team in optimization circles, we have successfully expanded to serving over 2,400 companies from a wide range of industries, by way of providing the right mix of advanced developments and technologies, world-class support and flexible licensing.
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#optimization #datascience #dataanalytics #machinelearning #analytics #research #operationsresearch #Gurobi #gurobipy #AI #artificialintelligence #algorithms #mathematicaloptimization #jupyternotebook #heuristics #MIP #mixedintegerprogramming #MIQP #python #ICRON
An ever-increasing number of companies are investing in supply chain optimization software solutions, powered by mathematical programming solvers like Gurobi. What is the goal of implementing such solutions? It is not only to be able to generate optimal plans, but also to make optimized strategic, tactical, and operational decisions that drive increased efficiency, customer satisfaction and decreased costs. The latter capability is called decision-centric optimization, and many companies are realizing that this (rather than planning-centric optimization) is the most important outcome of implementing an algorithm-based supply chain optimization solution.
In this 40 minute recording, you will learn about:
- What decision-centric optimization is and how you can assess your company’s decision-process maturity
- What you need, in terms of your data, algorithmic, and organizational capabilities, to enable your company to achieve decision-centric optimization
- The technical architecture of ICRON’s Supply Chain Optimization and Optimized Decision Making platform and how it is integrated with Gurobi
- How Gurobi technologies, including multi-objective optimization, infeasibility analysis and warm-start facilitate optimized decision making
- How one supply chain company (consumer electronics manufacturing giant Vestel) achieved decision-centric optimization with ICRON and Gurobi
Presenting this content is Dr. Z. Caner Taşkın – ICRON’s Chief Technology Officer and a Professor in the Department of Industrial Engineering at Boğaziçi University – who specializes in large-scale mixed-integer programming and supply chain optimization software solutions. Caner received his Ph.D. from the University of Florida. He was named the recipient of the 2010 Pritsker Doctoral Dissertation Award given by the Institute of Industrial Engineers (IIE) and his research has been published in many leading Operations Research journals.
--
--
Our Mission
Gurobi strives to help companies make better decisions through the use of prescriptive analytics. We provide the best math programming solver, tools for distributed optimization, optimization in the cloud, and outstanding support. We are committed to improving our solver performance and developing tools to help you use Gurobi with more ease.
Founded in 2008 by arguably the most experienced and respected team in optimization circles, we have successfully expanded to serving over 2,400 companies from a wide range of industries, by way of providing the right mix of advanced developments and technologies, world-class support and flexible licensing.
--
#optimization #datascience #dataanalytics #machinelearning #analytics #research #operationsresearch #Gurobi #gurobipy #AI #artificialintelligence #algorithms #mathematicaloptimization #jupyternotebook #heuristics #MIP #mixedintegerprogramming #MIQP #python #ICRON
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