A systemic project to end long delivery times and stop breaching Delivery Dates commitments.
Let yourself be guided by our exclusive business model to answer:
Reduce lead times and WIP by at least 50%, reaching 99% on-time delivery as a result.
A manufacturer or manufacturing company essentially operates under the MAKE TO ORDER - MTO model, in this environment it could generally report symptoms such as:
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Poor performance of On-Time Delivery
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High levels of inventory in process
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Very long lead times
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Generating pressure from other departments to reduce delivery times.
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Required raw materials that are often not available for production.
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The resources of certain areas are insufficient to cover market demand, therefore:
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Overtime increases during some periods.
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Rework increases due to backorders.
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Large number of "emergencies" from customers, especially when they "scream for their orders" due to delays, generating:
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Constant changes in priorities
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High levels of waste.
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Among others...
OUR VALUE PROPOSAL:
Faced with these challenges and problems, at SpearHead we have a business solution that we present for your consideration:
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Significantly reduce delivery times:
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By controlling the work entering the plant and reducing the levels of work in process inventory.
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Increase on-time delivery performance:
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By synchronizing all the operational resources that you focus on using a priority visual system.
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Ensuring that the correct raw materials are available, when required, to be processed at the plant.
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Properly managing production capacity.
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Taking steps to identify the weakest link in the plant and schedule the remaining resources to be subordinate to that area.
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Increase Capacity:
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By unlocking hidden capacity and using proven techniques to focus continuous improvement programs on areas of high impact on flow.
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Establish robust mechanisms to reliably respond to urgent orders.
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By reserving capacity to serve customers with surprisingly short delivery times.
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Systematically synchronize key operations in the production process to deliver ever shorter times.
Expected results:
Increase in more than 99%
Decrease in more than 40%
Increase in more than 25%
Reduced by more than 40%