THE INTELLIGENT SUPPLY CHAIN Nada R. Sanders, Ph.D. Distinguished Professor of Supply Chain Management D’Amore-McKim School of Business [email protected] Author of Big Data Driven Supply Chain Management (Pearson 2014) Center for Supply Chain Innovation The “Intelligent SC” Is Data Driven • RFID, POS, Geo-Location • Sensors for vibration, heat (e.g. mounted on an engine), sound • Social Media feeds (Twitter “retweets,” Facebook “likes”) • Customer complaints • Maintenance logs • Almost anything can be turned into data Center for Supply Chain Innovation Data Versus Intelligence • “Big Data” - Large pools of data that can be captured, communicated, aggregated, stored, and analyzed. • “Analytics” - Applying math and statistics to these large quantities of data. • “Business Intelligence” - When we apply math and statistics to big data – called big data analytics – we gain new insights. • “Supply Chain Intelligence” - Needs to Sense, Analyze, Predict & Respond in a coordinated way Center for Supply Chain Innovation The Supply Chain “System” • Every SC is a system of four “levers” • The entire “system” must be optimized. • Marketing may customize product offerings – but if operations cannot produce them, if logistics cannot deliver them, the system will not respond • Information at any one lever – a shortage on the Buy side, delayed shipments on the Move side, or production stoppage on the Make side – needs to be conveyed to other levers informing them and coordinating action. BUY MAKE MOVE SELL Center for Supply Chain Innovation Wal-Mart • Applications are used to link functions and coordinate its entire global supply network • Collects terabytes of sales and inventory data at all stores • Data integrated into a single technology platform • Sophisticated analytics is applied to this massive database and used across the supply chain. • The data is then analyzed and used by managers to support every type of supply chain decision. Center for Supply Chain Innovation Wal-Mart • Managers analyze data to optimize product assortments and tailor store inventory to local community needs. • Data analysis extends to suppliers, all using the company’s platform Retail Link. • Over 17,000 suppliers in 80 countries use Retail Link to track daily sales, shipments, purchase orders, invoices, claims, forecasts, Radio Frequency ID deployments. • Suppliers can design modular layouts within the store, based on sales data, store traits, and data on consumer segments. Center for Supply Chain Innovation “Fast Fashion” • Quick “churn” of fashion designs at affordable prices • Requires rapid information access, exchange and quick supply chain response • Real-time information shared on item sales, stock levels, and inventory movements - quickly used to modify production, distribution, and procurement decisions. • Information used to create dynamic assortment- frequent assortment changes (e.g. monthly, weekly, or even daily). • The result is low inventory & high responsiveness. Center for Supply Chain Innovation Tectonic Shift in Business Intelligence • Change of Scale --> Change of State • Granular Analysis of Subcategories and Submarkets Inaccessible to Samples • Establish Norms to Detect Outliers (e.g., Credit Card Fraud) • Apply Math to Enough Data to Determine Strong Correlations • Use Correlations to Infer Probabilities and Make Predictions Center for Supply Chain Innovation Big Data and Predictive Analytics • Foresee events before they happen by sensing small changes over time. • Detect proxies for problems (A signals B). • Risk Management: Take precautionary measures to maintain physical capital and prevent catastrophic failures. • Customer Service: Identify and address product defects or consumer protection issues in advance. (Vehicle maintenance and service) Center for Supply Chain Innovation Applications BUY ● Supplier segmentation ● Supplier risk ● Sourcing channel options ● Supplier integration level ● Inventory ● Capacity Constraints ● Facility Location ● Facility Layout ● Workforce Analytics MAKE ● Location Based Marketing ● Cross-selling ● In-store behavior analysis ● Customer microsegmentation ● Price optimization MOVE SELL ● Distribution & logistics ● Transportation alternatives ● Routing and Scheduling Center for Supply Chain Innovation Retailers Know A Lot About You Center for Supply Chain Innovation Retailers Use “Smart” Technology ◦ Retailer Rebecca Mincoff Introducing “Smart Bag” ◦ By Summer 2017, Bags with “Smart Technology:” ◦ Unlock exclusive offers and experiences ◦ Discounts such as coffeehouses ◦ Qualify the customer for a loyalty program • Benefits: ◦ Connect with shoppers after purchase ◦ Drive decisions through customer analytics Center for Supply Chain Innovation Used to Improve Quality Control • Honda develops its own analytical software • Provides “early warning” system for mechanical problems based on computation of data from different sources • Customer service lines, dealerships and different mediums (textual, categorical, etc.) Center for Supply Chain Innovation Used to Improve Operational Safety • BP’s Cherry Point Oil Refinery in Blaine, Washington uses multiple sensors across the plant to generate vast amounts of information • Data enables detection of trends in oil corrosiveness. Center for Supply Chain Innovation UPS Uses Analytics to Nip Breakdowns • UPS operates 60,000 vehicles in the United States • Vehicle breakdown disrupts service, throwing off the time windows for deliveries and pick-ups. Center for Supply Chain Innovation Barriers to Implementation ▪IT Not Integrated ▪”Siloed” Decision Making ▪ Lack of Incentives ▪Lack of Leadership ▪No Analytical Talent ▪Unsupportive Culture PEOPLE PROCESSE S TECHNOLOG Y ▪Need to Upgrade System ▪Legacy Systems ▪Access to Data Center for Supply Chain Innovation Analytical “Ruts” •A Needle In A Haystack – Using analytics randomly in search for causation and relationships with the hope that something will eventually turn up. •Islands of Excellence – Using analytics to optimize subprocesses; these function efficiently but have little bearing on optimizing the system. Center for Supply Chain Innovation Analytical “Ruts” •Measurement Minutiae - The hallmark is trying to measure everything; most of companies don’t know which ones to focus on. •Analysis Paralysis – Overwhelmed with the rapid change of technological capability; they understand they must do something but are in a state of paralysis. Center for Supply Chain Innovation Implementation Framework • Segment Supply Chains • Define Competitive Priorities for Each Segment • Align Functions to Support Competitive Priorities • Integrate to Match Supply and Demand • Measure Center for Supply Chain Innovation Maturity Map of Big Data Implementation STAGE 1 STAGE 2 STAGE 3 STAGE 4 Data Structuring Data Basic Advanced Availability Analytics Analytics Stage 1: Digitizing and structuring data; includes “scrubbing,” placing data into standard forms, and adding descriptions. Stage 2: Making data available to all. Stage 3: Standard quantitative analysis (e.g. descriptive statistics) Stage 4: Predictive analytics, automated algorithms, real-time data analysis. Center for Supply Chain Innovation Implementation: Focused and Coordinated BIGGER SMALL SCALE SCALE ▪Select Pilot or Targeted Project ▪Use metrics & continuous improvement ▪Across Entire Function ▪Simple Process BIG SCALE ▪Large Business Processes ▪S&OP great start Center for Supply Chain Innovation Coca-Cola Intelligent Supply Chain • Analytics applications across all supply chain functions “talk” to one another. • An algorithm is used to engineer the taste of its orange juice. • The algorithm is tied to satellite images of fruit groves to ensure the fruit is picked at the optimal time for Coca-Cola’s bottling plants. • A computer model directs everything from picking schedules of oranges to the blending of ingredients needed to maintain a consistent taste. Center for Supply Chain Innovation Center for Supply Chain Innovation CONCLUDING THOUGHTS An intelligent SC is data driven Analytics applications exist along every SC lever – they must be integrated and “talk” to one another Strategy drives technology selection and design An intelligent SC must: Sense, Analyze, Predict & Respond seamlessly, end-to-end. Center for Supply Chain Innovation
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