Your challenges
The increasing complexity in value networks, disjointed systems and evolved heterogeneous IT structures are the reasons why companies continuously initiate optimization processes to improve cost structures, manufacturing processes and their logistics network.
In the context of digitalization, data analytics methods are becoming increasingly important. Through the structured analysis of business data, optimization potentials can be identified and harnessed in different areas by using statistical methods. Requirements for the implementation are a profound description of expected cause and effect relationships and the provision of relevant data that allow its analytical processing.
From previous project experiences ITCL has identified four relevant optimization segments for logistics and could raise significant cost advantages together with its clients.
Our optimization segments
Efficient use of assets - Forecast inaccuracies lead to misinvestments
We support the improvement of your forecasting processes by linking inventory data with demand data
E.g. optimization of bins/load carrier
Approach:
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The demand data gets linked with the bin/load carrier inventories and flows via the parts and packaging information
Lever:
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Planning of initial and replacement investments of the load carriers based on actual customer and product demands
Effect:
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Reduction of investment costs for bins/load carriers due to demand-based investments and prevention of misinvestmen
Elimination of process inefficiencies - Complexity in value networks fosters inefficiencies
We identify inefficiencies in complex value creationsystems by using data analytics
E.g. optimization of transport cost
Approach:
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Linking of logistical data concerning quantity and performance, efficiency figures of process flows and financial figures of the cost cause
Lever:
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By means of statistical deviation analyses optimization potentials and inefficiencies are visualized and can be analyzed and eliminate
Effect:
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Reduction of logistics costs in transport, intralogistics and production due to the elimination of systemically recognized inefficiencies
Efficient capacity management - Inflated flexibility creates cost
We analyze the necessary flexibility demand of your value chain to negotiate (supplier) capacities as required
E.g. optimization of the allocated flexibility
Approach:
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Creation of correlations between installation frequencies of components, demand-related behavior of the customer and the structure of capacities in the supply network
Lever:
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Demand-based statements about capacity and volume fluctuations of individual componen
Effect:
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Cost reduction due to targeted negotiations for flexibility ranges with the supplier
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Reduction of shortage situations through a demand-based flexibility provision
Disruption and shortage prevention - Disruptions in the supply chain cause excess costs
We support you with the analysis of root-causes for shortages, create system-based transparency and identify eligible options to react
E.g. optimization of shortages
Approach:
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Consolidation of procurement and consignment data of suppliers and logistics service providers
Lever:
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System-based identification of deviations and events in the supply chain enables the target-oriented and efficient elimination or prevention of shortages and disruptions
Effect:
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Reduction of shortage costs and special deliveries/air transport
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Prevention of lost sales
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Securing customer satisfaction