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Supply chain design proves essential for leading organizations to maintain a competitive advantage in the face of constant change and increased market pressures, while also maintaining supply chain performance – both in world-class service levels and profitability.
Critical trade-off decisions have become increasingly complex and abundant due to mergers and acquisitions, globalization of supply and demand, ever-changing cost structures (labor, freight, utilities, raw materials), and fluctuations in downstream suppliers’ costs and capabilities.
These complicated trade-offs require ongoing network modeling capabilities to take all scenarios into consideration in order to make informed decisions.
Confidence in the credibility of these models is the currency of having change implemented. Anything less than investment-grade analytics impedes leaders from acting on recommendations.
While technology has made significant advances to provide enhanced visibility, growing demand for this highly specialized and technical skillset has rapidly outpaced the supply of available experts. The talent shortage highlights the harsh realization that building and maintaining an internal competency is extremely challenging. Recognizing this critical gap in the marketplace, Chainalytics developed our managed analytics solution to provide unrivalled industry experience and expert resources for our clients year-round.
How Can MAS for Supply Chain Design Help?
Our proprietary, managed services approach is designed to deliver continuous, cost-effective, high-quality, efficient and consistent, investment-grade supply chain network design analyses. Every MAS engagement starts with a rapid assessment used to devise a holistic multi-year program portfolio of recurring, specified projects tailored to meet the strategic needs of each business in the most effective sequence. Each project is then executed utilizing a customized agreed-upon cadence and blended resource plan to deliver timely updates to data and, model refreshes while supporting the ongoing execution of investment-grade analytics.
MAS is crafted to fit a broad spectrum of organizational maturities, ranging from those with an established Center of Excellence (COE) to organizations just beginning their journey. MAS accelerates time-to-value from an initial launch in addition to complementing developed teams with augmented capacity and capability to derive additional value from existing resource and technology investments.
MAS Supply Chain Design Continuously:
If your company is exploring ways to proactively plan for and strategically design how your supply chain will respond to the evolution of your business or you would like to ensure your competitive advantage is maintained as the market evolves, contact Chainalytics to achieve more with MAS.
Chris concurrently serves as Chief Scientist for Chainalytics and the Executive Director of MIT’s Center for Transportation and Logistics. At Chainalytics, Chris pioneered the Freight Market Intelligence Consortium which he presently co-leads.
In his role as Executive Director of the Center for Transportation & Logistics (CTL) at the Massachusetts Institute of Technology, he is responsible for the planning and management of the research, education, and corporate outreach programs for the center to include the Supply Chain Exchange and the Master of Engineering in Logistics (MLOG) graduate program. He is also the founder of the MIT FreightLab – a research initiative that focuses on improving the way freight transportation is designed, procured, and managed. Prior to joining MIT, Chris held senior management positions in supply chain consulting, product development, and professional services at several companies, including Logistics.com, SABRE, and PTCG.
Chris holds a Ph.D. from the Massachusetts Institute of Technology in Transportation and Logistics Systems, a Master of Science in Civil Engineering from the University of Texas at Austin, and a Bachelor of Science in Civil Engineering from the Virginia Military Institute (VMI).
Inam leads the global Freight Market Intelligence Consortium (FMIC) at Chainalytics. In this role, he develops intelligence solutions for the transportation market using machine learning and data visualization techniques. FMIC offers unparalleled visibility to transportation rates and market data across the globe, making it the most powerful and trusted source of freight market intelligence.
Prior to joining Chainalytics, Inam led the engineering team at Transplace, a third party logistics provider, where he developed and innovated such service offerings as network optimization, site selection, procurement, and transportation optimization. These services helped many shippers balance the cost and service trade-offs across their large, complex networks.
Inam holds a Ph.D. from the University of Arkansas in Applied Operations Research, a Master of Science in Industrial Engineering and a Bachelor of Science in Industrial Engineering from Oklahoma State University.