Planning & Checking resources
This guideline has been developed to provide practical advice and guidance in the use of existing, proven techniques to identify, measure, monitor, mitigate and manage supply chain risk by both large and small organisations, whatever their level in the supply chain.
Vehicle manufacturers and Tier 1 suppliers who already have well developed SCRM processes and plans in place will be able to compare themselves with industry best practice contained in this guideline.
It is also aimed at those organisations that do not currently have robust SCRM processes in place, or have not yet started implementing SCRM and are seeking to have a better understanding of the processes involved and need support to identify a practical starting point.
The Production Capacity Assessment Tool detailed in this document is recommended as the preferred, proactive risk management methodology for checking the planned and actual capacity of a production facility. The Tool offers the advantage of standardising all of the business parameters that are necessary to calculate production capacity.
Forecast accuracy is a fundamental requirement for the alignment of manufacturing and logistics processes throughout the supply chain, involving OEMs, suppliers, and transport and logistics providers. This Odette Best Practice recommendation defines a methodology for measuring the forecast accuracy of customer schedules.
This measurement is essential to support improvement initiatives that can simultaneously increase service levels and reduce inventory, both at the customer side and the supplier side The Guidelines list the data to be collected and the mathematical approach to calculating the Forecast Accuracy Index (FAI) and an associated Weighted Tracking Signal (WTS).
Demanding supply chains require efficient and comprehensive management processes to avoid capacity shortfalls and the under-utilisation of resources. Demand Capacity Planning (DCP) plays a significant role in this area, by incorporating business process models, functionalities and respective data elements.
This publication defines standards for successful DCP in the automotive industry including a basis for the interoperability of applications from different software providers.
XML Implementation Guideline
The XML message specified in this publication is intended to provide a means for a customer in the Automotive Supply Chain to transmit a report of a Logistics Catalogue Deviation to a supplier electronically as recommended in the Odette/AIAG Recommendation ‘KPIs for Automotive Supply Chain Management (LK03)’.
XML Implementation Guideline
The XML message specified in this publication is intended to provide a means for a customer in the Automotive Supply Chain to transmit a report of a Delivery Accuracy Rating to a supplier electronically as recommended in the Odette/AIAG Recommendation ‘KPIs for Automotive Supply Chain Management (LK03)’.
Originally serving as a supplemental product to the Global MMOG/LE tool, this recommendation defines standard key performance indicators (KPIs) for global supply chain management in the automotive industry. These common indicators not only align with the requirements of Global MMOG/LE, but also help facilitate greater understanding between business partners and support risk management. This KPI document provides greater transparency between OEM and supplier performance expectations.
These Guidelines have been published by Odette specifically for the automotive sector. They are directed at helping all those involved to understand the principles and to adopt a consistent approach that will support both recent and future standards and legislative requirements. Rather than introducing new methodologies, these Guidelines make recommendations based on use of the most appropriate existing initiatives.
The market for automotive spare parts is highly dynamic and volatile, and presents significant challenges to both manufacturers and suppliers in maintaining service and inventory levels Effective forecasting in this area is vital for increasing supply chain performance, and this Odette publication has been developed to provide a standardised method for measuring forecast accuracy, based on an in-depth industry study.
This tool has been created to help organisations develop and implement a world class Materials Planning and Logistics Management system. It consists of a set of recommendations and best practices that can be used by Logistics Service Providers (LSPs) to move towards establishing a common international approach to assessing best practices.
All organisations know that maintaining logistics performance is vital for an effective supply chain – but this can only be achieved when suppliers at all levels have consistent measurements of good performance in place. To help achieve this, Odette has produced this set of common definitions of standardised KPIs for measuring logistics performance that can help improve efficiency and decrease costs across the supply chain.