As COVID-19 continues to impact business dynamics, supply chains are still facing disruption. Organizations using old legacy systems and processes are finding it hard to adapt to the new realities. And longer-term supply chain strategies, such as network optimization, need to be reassessed to increase agility.

Although supply chain network optimization covers the end-to-end function, I’m going to focus on the logistics network as a starter as it’s one of the critical streams of SC optimization and brings in clear use cases to optimize costs.

Supply chain network optimization is typically carried out only occasionally and usually as a precursor to a major change of network entities e.g. bringing in a new supplier base, changing manufacturing locations, or changing the distribution footprint. Often, these changes are led by an outside consultant, and strategy recommendations are left to the organization to implement.

Transportation network optimization is either outsourced to a third-party or done as part of a transport management system (TMS) set-up configuration as a one-off activity.

Carrier analytics, another major pillar in framework optimization, is a core activity and is carried out in most organizations, evaluating historical performance using key parameters to guide future strategy. However, this is still a manual exercise in MS Excel for most the firms.

You’ll also find business impact and visualization for activities spread across multiple reports with backward-looking descriptive analytics; making it difficult to take proactive actions.

I believe, given the global nature of supply chains, closed-loop supply chain network planning enabled by advanced analytics and digital technologies can be a differentiator. If this is coupled with market need and upstream planning, it also can be leveraged as a growth driver for serving new customers and markets.

We recommend our clients undertake supply chain network optimization as a periodical exercise. This not only helps refine overall strategy, but also brings agility to operational decisions and drives continuous improvement. Completing a periodic gap analysis with optimal network performance helps identify shifting patterns, challenges, and ways to address them in an agile way.  Seamless integration with systems of record for running models and report-out status as a simple exercise is another area that brings in greater flexibility for optimization routines.

Apart from supply chain network planning, some of the other areas worth focusing on are highlighted below.

  • Transportation network optimization can increase consolidation potential and enable better use of transportation modes. A process to compare historical shipments to optimal shipment plans helps identify a lost opportunity. At the same time, projected capacity requirement helps in accurately sourcing cheaper modes of transportation

With cloud-based TMS reducing the system cost, automation of freight audits, computation of expedites, and auctions in an automated way is changing the ways to control costs. Rather than doing sample analysis due to lack of time, automation is enabling 100% detection and saving dollars.

A good supply chain optimization framework should always be supported by a control tower to proactively prevent exceptions that lead to loss of service or high costs. Similarly, an SC data lake combining internal data with carrier or 3rd party data helps provide real-time visibility. Advanced analytics proactively identifies delays and dynamic rerouting minimizes the chances of incurring delay penalties.

For supply chain functions, balancing costs and service has been a perpetual challenge. Organizations that treat this as an opportunity are increasingly capturing market share as well as save costs. Analytics-led, holistic supply chain optimization is unlocking new opportunities, which apart from better metric performance, also builds supply chain resilience.

Sugantha Rajakumari M, Assistant Vice President, Supply Chain Practice | Planning-as-a-Service, Genpact, holds over 19+ years of experience in extensively working with organizations on end-to-end Plan-to-Deliver process transformation projects. She is currently the Supply Chain Planning SME at Genpact and is instrumental in providing functional & technical subject matter expertise in designing/configuring in-house tools and customizing the market tools for Supply Chain (specifically in demand management and supply planning); managing business processes and delivering impactful metric improvement.

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