Supply Chain Intelligence
健全的供應鏈策略
改善品質及客戶滿意度、創造更高的利潤
Advantage, yours.
SAS Supply Chain Intelligence 解決方案可協助企業將資料轉換成知識,並針對其需求模式、供應網路、作業及客戶服務需求進行分析,為企業提供關鍵優勢。SAS 能讓您合併其他資料來源 (如交易及作業系統) 的資料,以提供更詳盡的分析及報告,更加符合公司業務的需求。不但能夠改善整體供應鏈的效率及效益,還能提高利潤並創造更高的客戶滿意度。
Supply & Demand Planning
Better demand forecasts mean better outcomes.
Want to significantly improve your supply and demand planning processes? Imagine starting with an accurate, data-driven forecast. Balancing inventory with demand in near-real time. And deriving analytical insights from early demand signals. We can help you make it a reality. With the SAS for Demand-Driven Planning and Optimization suite, you can:
- Operate more efficiently. Automatically generate statistically driven, weighted consensus forecasts. Monitor forecast performance to understand the value added (or lost) at each step. Then share information easily among sales, marketing, finance, operations and supply teams to readily implement the sales and operations plan.
- Plan more effectively. Use time-series forecasting to build models that reflect the realities of your business, taking into account intermittent demand, new product launches, pricing, promotions – even weather. Use sophisticated optimization algorithms to compare and adjust forecasts so you can choose the best strategy.
- Boost your profitability. Gain near-real-time insight into supply and demand dynamics so you can avoid under- or over-stocking. Calculate optimal inventory policies using multiechelon optimization with state-of-the-art simulation. And use predictive modeling and what-if analysis to find out how different variables will affect the supply/demand balance.
- Demand-driven planning. Adopt an analytics-based process for creating a demand-driven, weighted consensus forecast to automate and manage the information exchange between everyone involved in S&OP.
- Multiechelon inventory optimization. Automate and optimize inventory distribution, inventory levels and order quantities at every level to maintain adequate stock, maximize response times, increase revenue, reduce carrying costs and improve customer satisfaction.
- Demand sensing and shaping. Take a visual approach to analyzing demand data to unearth patterns and insights regarding sales, shipments, pricing, promotions and operational, category or regional performance.
- SAS® Collaborative Planning Workbench
Automate consensus planning by applying a structured forecasting workflow.
Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.
For pricing and ordering information, check out our purchasing options.
Or you can request a personalized price quote.
Product & Process Quality
Achieve quality excellence, and lower the costs of poor quality.
Develop and support a quality-driven strategy. Find and address issues quickly. And link customer feedback and expectations with design, engineering, manufacturing and packaging. With the SAS Quality Analytic Suite, you can:
- Understand perceived quality issues. Access and analyze all types of data from CRM systems, traditional news sites and social media forums. Then integrate the data with your issue detection processes for earlier warnings and corrective action guidance.
- Catch emerging issues sooner. Continuously improve reliability, efficiency and quality by combining and analyzing huge volumes of data in a fraction of the time it used to take.
- Tackle top-priority issues first. Get the most out of limited resources by identifying and addressing issues that have the greatest impact on costs and customers.
- Limit customer impact. Consolidate warranty, customer service and other field data, and quickly decode its meaning. Use root-cause analysis to troubleshoot and correct issues fast, for more uptime and smoother operations.
- Reduce operating costs. Combine automated quality control measurement with monitoring, tracking and reporting to reduce overall costs.
- Get more out of your assets. Harness M2M and machine sensor data to predict unplanned outages before they occur. Optimize planned maintenance cycles to lower costs while increasing asset availability.
- Early issue warning. Quickly identify design and production defects before they become costly problems by continuously monitoring thousands of parameters and getting automated alerts about potential quality issues.
- Award-winning data management. Get a single, comprehensive view of all quality-related data.
- Reduced costs. Our state-of-the-art analytics and predictive modeling capabilities enable you to tighten controls and improve processes.
- Flexible data model. Our data model can handle practically any type of data, and it's customizable so you can incorporate any additional data types your organization may require.
- SAS® Asset Performance Analytics
Harness M2M and sensor data to maximize asset performance.
- SAS® Field Quality Analytics
Detect emerging issues sooner and perform root-cause analysis to improve product quality and brand reputation. - SAS® Production Quality Analytics
Gain a holistic view of quality across the enterprise and throughout the entire supply chain.
Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.
For pricing and ordering information, check out our purchasing options.
Or you can request a personalized price quote.
Aftermarket Service
Grow revenue. Boost brand image. And lower your cost to serve.
Improving your aftermarket service can go a long way in boosting top-line revenue and reducing your bottom-line cost to serve customers. It can also help you improve your first contact resolution rate, and attract and retain profitable customers for life. SAS offers solutions that enable you to:
- Improve the customer experience while minimizing costs. Minimize stockouts and overages that erode the customer experience while hurting your profits by accurately determining the required amount of parts needed at any location.
- Predict service volume demand with greater precision. Our powerful forecasting engine can manage millions of customer interaction transactions and support multilayer hierarchies that allow for detailed segmentation of service volume demand.
- Make the right staffing decisions to meet demand.Fully integrated optimization and forecasting technologies, state-of-the-art optimization models and the ability to run multiple what-if scenarios enable you to improve resource allocation and staff planning processes.
- Identify suspicious claims and service providers. Go beyond traditional business rule engines by using automated analytic models to analyze service claim data and enable auditors to focus on the most likely sources of fraud.
- Avoid unnecessary repair and maintenance costs. Use advanced analytic algorithms to perform root cause analyses. Quickly identify causal factors and determine where issues originate, so you can address them before they escalate.
- Proven advanced analytic methodologies. SAS offers more advanced forecasting and predictive analytics, integrated with sophisticated staff optimization capabilities, so you can accurately predict service volume demand and optimize your staff according to skill sets needed.
- Integrated early-warning capabilities. Early-warning algorithms automatically analyze millions of combinations of products, components and failures to detect potential problems very early in a product’s life cycle so you can investigate and take corrective action before problems reach a crisis point.
- Award-winning data management. Consolidate all data sources – including structured and unstructured data – into a single view that provides meaningful insight into the customer experience.
- Advanced text mining. Extract and categorize essential information from text-based data (from call centers, service technicians, dealers, etc.), combine it with your structured data and analyze it to gain valuable knowledge about critical product and service issues.
- SAS® Asset Performance Analytics
Harness M2M and sensor data to maximize asset performance. - SAS® Field Quality Analytics
Detect emerging issues sooner and perform root-cause analysis to improve product quality and brand reputation.
Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.
For pricing and ordering information, check out our purchasing options.
Or you can request a personalized price quote.
IoT
Get IoT-enabled supply chain intelligence.
To benefit from the promise of IoT data, you must shift analytics from traditional data centers toward devices at the edge. SAS integrates streaming data with analytics and visualization so you can get more value from the IoT, enabling swift supply chain decisions while reducing data movement and storage costs. With SAS IoT solutions, you can:
- Analyze delivery performance across all your suppliers. Stay ahead of shipment delays for raw materials, and spot process bottlenecks all the way back to the vendor, starting from the time the pallets are packed until they enter your manufacturing yard.
- Monitor and analyze asset performance metrics. Mitigate risk and enable your organization to predict problems before they become a reality and affect your supply chain.
- Find – and address – root causes faster. Analyze possible sources of defects or damage to in-transit goods that could affect product quality and efficacy – e.g., temperature fluctuations, significant shocks, exact origin of parts – so you can pinpoint and fix issues quickly.
- Comprehensive data management. Integrate structured and unstructured data from all relevant sources into a single, enterprisewide view of supply chain performance.
- Superior root-cause analysis. Take advantage of a complete spectrum of analytical tools – from explorative analysis, to design of experiments with optimizers, to cause-and-effect tools like Ishikawa diagrams.
- Advanced early-warning analytics. Automatically analyze millions of combinations of products, components and failures to detect potential problems early, even before they occur, so you can take corrective action to improve outcomes.
- Proven event stream processing. Analyze data in motion by processing huge volumes of data at very high rates – with extremely low latency.
Ready to take the next step toward getting the most value from your data? We offer several different technology, deployment and financing options, depending on your needs.
For pricing and ordering information, check out our purchasing options.
Or you can request a personalized price quote.
- SAS® Asset Performance AnalyticsHarness M2M and sensor data to boost uptime, performance and productivity while lowering maintenance costs and reducing your risk of revenue loss.
- SAS® Collaborative Planning WorkbenchAutomate consensus planning by applying a structured forecasting workflow.
- SAS® Field Quality AnalyticsDetect emerging issues and perform root-cause analysis to improve product quality and brand reputation.
SAS Forecast Server
快速自動產生大量預測以提升規劃與決策工作
SAS Forecast Server 可快速自動產生大量預測,除非您有特定需求,否則無需人員介入,軟體會自動選擇最適合的預測模型、最佳化模型參數,然後產生預測。
時間序列資料管理功能則可將交易資料轉換為時間序列格式並一次完成所有預測,或將轉換的資料送入預測資料市集,作為整體資料處理功能的一部分 (預先處理交易資料的功能可大幅節省企業的時間與資源)。此外,SAS Forecast Server 可在互動式與批次環境中運作,依使用者與專案需求決定何種方式最適合。
Learn about SAS Forecast Server
- 透過易用的圖形化使用者介面提供快速即時的預測。SAS Forecast Server 可自動產生高品質預測,並可以互動方式修改模型。如此將更容易管理大型預測程序,讓分析師能夠將時間投注於最重要的預測。預測僅需很少的手動輸入,以減少因企業中政治取向與追求個人利益而影響預測結果的機會。
- 提供反映企業實際情況的預測,提升您規劃未來企業活動的信心與能力。SAS Forecast Server 可自動選擇事業驅動要素、假日或活動,以協助預測程序中從變數供應到建模程序系統等作業。因此,預測結果將更準確地反映事業的複雜性。SAS Forecast Server 可為您的資料自動建立最適合的模型,如果預測的行為是自然發生的,將可提供合理預期可獲得的最準確預測結果。
Learn about SAS Forecast Server
Service Parts Optimization
全方位的需求預測及庫存最佳化
SAS Service Parts Optimization 賦予服務組織預測零件需求與最佳化零件庫存的能力,以協助他們維持適當的庫存水準及最佳的回應時間。它可讓企業達成全球服務目標:降低庫存成本,並同時改善客戶滿意度。
- 使用 SAS 特別為服務部門所建立的模型,產生準確無比的預測。
- 針對任何階層 (甚至針對個別 SKU) 進行預測。
- 透過最先進的模擬技術來提供多階層最佳化,以計算整個服務鏈的最佳庫存政策。
- 適用於大型服務網絡,可以在每一個據點納入成千上萬個 (或數百萬個) SKU。
- 根據不同業務需求, 可以客製化使用者介面,確保各種業務使用者都能靈活運用。
- 利用準確的預測來減少存貨不足與過剩情形。 SAS Service Parts Optimization 提供彈性且自動化的零件需求預測,以便您預測短期、長期及EOL零件需求。您可以準確地判斷任何地點所需準備的零件數量。因此,您可減少庫存不足與過剩的情形,可改善客戶經驗並降低成本。
- 最佳化庫存補貨政策及訂購數量。此解決方案可根據使用者定義的限制條件 (例如:前置時間、成本及目標服務水準),計算最佳的庫存水準及補貨政策。因此,您可藉由確保每個據點均有適當的庫存來控制成本。
- 達到目標的客戶服務水準。您可以利用 SAS Service Parts Optimization,將客戶服務水準設定為重要補貨政策驅動因子。
- 發展全方位的維修零件規劃策略。此解決方案會與現有系統一起運作,以收集與分析整個企業的各個層面維修零件資料。結果:為維修零件策略提供完整、準確的基礎,以降低成本及改善績效。
健全、有效的資料管理
- 不論資料格式或所在位置,從服務鏈的每一個階層收集並整合大量的資料。
- 轉換、標準化與清理資料,以準備進行精確預測。
- 提供ERP系統更精確的資訊,提升ERP系統的投資報酬率。
針對每一個階層提供準確預測
- 自動產生數以百萬計的具統計基礎的多階層預測 (由上至下、由下至上、由中而外)。
- 產生各種需求預測,其中包含:短期預測 (使用事件基礎及維修基礎的歷史資料)、長期預測 (使用進階資料採礦技術)、新零件或滯銷零件以及end-of- life零件。
- 使用自動診斷及最佳模型選取功能來確保預測準確度。
- 提供互動式及自動化模型建立功能,有經驗的預測人員或是一般使用者均適用。
- 針對服務部門,提供多種專用的預測模型,方便您選取最合適的模型。
- 允許您調整模型參數。
多階層庫存最佳化
- 根據使用者定義的限制條件 (例如:服務水準、前置時間及成本),依照產品、位置、類別、SKU 等計算出整個服務鏈的最佳庫存水準及原則。
- 庫存規劃會納入服務鏈中所有據點的變數, 包括供給端 (例如:在庫、訂單、認可及運送中的庫存量) 及需求端 (例如:預測及銷售訂單)。
- 同時規劃服務鏈中每一個據點的最佳庫存配置。
整個服務鏈的資訊共用
- 提供專為服務鏈設計的商業智慧功能,其中包含:KPI 計分卡、可鑽取的報表、現況及趨勢分析,以及透過選項可自行設計的報表。
- 可讓您與物流合作夥伴共用摘要與詳細報表。
- 提供高階主管數位儀表板, 顯示各種階層與地理位置的營運績效。
- 監控需求及供給的波動,針對異常狀況發出警示。
Hear From Our Customers
緯創資通:
提高服務零件需求預測準確率,
加速全球流通效率。