When enterprise applications gain the agility of
Strategic Supply Chain Network Design
Persistent challenges in maintaining market share and leadership have prompted CPG companies to choose unique network configurations to optimize their supply chain – one that offers the lowest total cost of ownership provides sourcing information, delivers intelligent analysis, and maximizes profits by considering financial and operational risks. CPG majors leverage our Strategic Network Design to execute operational sustainability, bring in cost-effectiveness, and create business alignment. ITC Infotech applies intelligence to strategic network design, improving the customer’s financial performance through increased revenues, reduced costs, and enhanced flexibility to respond to market dynamics.
Our solution addresses and improves:
o Resource acquisition and divestment covering
Decisions on facility opening and closing
Product portfolio decisions
Capacity augmentation vs outsourcing decision
High-level trade-off decisions
Automation uptake and forgo
o Operating policies for
Inventory versus service trade-off
Warehouse booking plan
Production SKU mix decision
Raw Materials and Finished Goods (RM &FG) sourcing network
o Structural decisions related to
Defining roles of various facilities
Product promotion planning
Transportation mode selection
o Operational efficiency for
Rough-cut-capacity-planning (RCCP) and firm distribution network
Shipment sizing and scheduling
Contract labor optimization
Safety stock and cycle stock optimization
Simulation and low-level sensitivity analysis
ITC Infotech has developed a unique ‘SAVE’ methodology for its clients:
Sourcing Information: Understanding the client’s unique business requirements and strategy, gaining competitive and value chain framework insights, mapping existing operations strategy and identifying key stakeholders to map readiness for change
Analysis: Classifying KPIs, benchmarking success factors, checking effect of distribution network redesign on other business processes, developing high-level model framework, time estimation and critical data collation
Validation: Building baselines and optimized models, performing cross alternative sensitivity analysis to arrive at final scenario, creating business process impact metrics, implementation road map, final KPIs and redesign process flows
Execution: Execute changes as per road map, run simulations to generate performance metrics, implement user training, and run awareness programs followed by monitoring adoption and success factors continuously to ascertain solution effectiveness
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