羅蘭貝格osaprojectmethandorg(編輯修改稿)
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【文章內(nèi)容簡介】 /reports describing current state of the art ? Existing IT solutions for supply chain management ? Technological barriers ? Future plans of IT developers 13 Lines DUS02769000101pt Manuf. related reasons Retailer related reasons % % % % % % % % % Total % % % Total causes Total store causes Zero option manage ment Inaccurate bookstock Total Manu facturer Short delivery Deletion in progress New line not in store Product in chiller Sales forecast Incorrect delivery Total retailer depot Root causes for OOS: instore causes were the most important reasons for not having products on shelf RB project example . Root causes for OOS 14 Lines DUS02769000101pt Supply chain investment Role Service levels Destination Core Convenience Seasonal destination Seasonal convenience ? % ? Replenished throughout day ? 97% ? Replenished as needed ? 95% ? Replenished once per day ? % ? Replenished throughout day ? 95% ? Replenished once per day ? Best practice ? Highest level of investment ? Availability is key ? Normal level of investment ? Availability and cost important ? No investment ? Cost is important ? Best practice ? Availability is key ? Minimum level of investment ? Cost is important . Implications of Category Role Depending on the importance and role of a category, the replenishment schedule has to be planned, optimal service levels need to be found Source: Roland Berger 15 DUS02769000101pt European availability survey 16 Lines DUS02769000101pt The European survey will allow to quantify the cost of out of stocks in Europe II Contents and results of the European availability survey Current availability Root causes for OOS Consumer behavior Benefits from improvement 1 2 3 4 Contents Results ? Questionnaires and interviews with multinational, multiformat retailers and multinational manufacturers ? Store checks ? For 3 markets (developing, mature, sophisticated) availability data for categories, store formats etc. will be collected ? Availability development ? Questionnaires and expert interviews with responsible managers along the entire supply chain on – Perceived problems – Usage of ITtools ? Location of bottlenecks/problem fields ? Quantification of problem impact ? Development of root causes over time ? Usage and acceptance of new technologies (ECR, CPFR, etc.) ? Questionnaires and interviews with – Consumers – Participating panies ? Consumer perception and behavior with regard to OOS ? Approach for panies to evaluate data on OOS – find percentage of lost sales for a) manufacturers and b) retailers ? Best practice analysis ? Comparison participating panies with best practices ? Combination of existing and new data ? Improvement potential quantified – Improvement potential for – Product categ
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