Newsroom
February 17, 2023
The Best AI Based Supply Chain Optimisation Company Middle East, Artificial Intelligence Awards, 2022
Artificial Intelligence Awards is designed to show appreciation for the individuals and organisations who work to constantly drive change and innovation harnessing the power of Artificial Intelligence!. SmartOpt is recognized as the best AI Based Supply Chain Optimisation Company Middle East for its innovative approach that uses machine learning, artificial intelligence and optimization with its own proprietary models, algorithms and software services. The suite products are NetOpt, PriceOpt®, ForecastOpt, PlanOpt, InventoryOpt®, MilkRunOpt® and RouteOpt can be customized seamlessly to design customized solutions. These products are offered with SaaS business model. All of the models and algorithms are automatically updated to reflect the dynamic and discrete nature supply chains. SmartOpt provides approximately 30% decrease in supply chain costs.
February 17, 2023
The Most Successful Software Company, International Success and Career Awards, 2022
International Success and Career Awards recognizes the most successful companies in all service-oriented companies. SmartOpt received this award for their innovative approaches to complete suite of solutions for complex end-to-end supply chain problems. At the strategic level NetOpt allows organizations to design and update local and international supply chains and PriceOpt® determines the prices of products and services. At the planning level, ForecastOpt, PlanOpt, InventoryOpt®, optimizes the end-to-end supply chain planning considering the triple bottom line accounting of sustainability. At the operational level, MilkRunOpt® and RouteOpt optimizes the first-mile, mid-mile and last-mile operations regarding logistics from financial and emission perspectives. This sustainability-focused approach of SmartOpt enables organizations to comply with environmental regulation while maximizing their profits. SmartOpt has a record of providing 30% decrease in supply chain costs.
February 17, 2023
Design and operation of intermodal transportation network in the Marmara region of Turkey
This paper presents a multi-objective optimization model for integrating different transportation modes in the design and operation of an intermodal transportation network in a geographical region. The problem is formulated as a mixed-integer optimization problem that accounts for time and congestion dependent vehicle speeds. We present modeling approach, data analysis and outline the important characteristics of the mathematical programming problem for minimization of transportation cost and time simultaneously. The proposed approach is illustrated on a real-world case using data from Marmara region where approximately 50% industrial goods and services in Turkey are produced.
