Oncept
 
QUANTITATIVE MODELING Quantitative Modeling  
 

Quantitative Modeling

In modeling complex industrial processes, Oncept draws upon the talents of an unmatched analytical team with years of experience dealing with scenarios that involve scheduling, resource sharing, optimization, Monte-Carlo simulation, forecasting and process modeling. We have applied our expertise in quantitative modeling to design, develop and deliver customized projects for our clients.

 

Custom Consultations

Oncept consultants build flexible parametric models that allow for extensive sensitivity and scenario analysis. The modifiable parameters include not just objective system parameters, but also subjective value parameters, giving our clients the control needed to balance a dynamic, multi-objective decision problem within a complex and competitive business environment. As we enter an era of faster and better technologies, fierce competition, and globalization, these mathematical models provide value by enabling better decision making through improved clarity of forecasting, focused improvements in strategic structural (re)organization, and increased profitability.

 

Implied Value of Goodwill

Quality of Service (QoS) comes with a price, often not recognized. A client’s inventory decision problem promises immediate provisioning 99.9% of the time. Such explicit QoS commitments imply an inventory replenishment policy optimally balancing inventory cost with the value of customer goodwill. We created a parametric optimization model allowing clients to compute the implied value of customer goodwill and the value implied by the committed QoS. Our client used this model to incorporate inputs from marketing and competitive analysis to modify their QoS level reflecting cost and other market competitiveness elements.
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