supply chain reference architecture

Specifically, it’s a platform that allows you to gather, store, and process data of all sizes and types, from any data source, and that enables you to access it seamlessly to gain valuable insights. While a common result of organic growth over time, this approach can make it difficult to connect the pieces and optimize the whole. The Secure Supply Chain can be broken into three stages: Our roadmap includes using what we’ve already done as a foundation and layering other capabilities including: Driving Microsoft's transformation with AI, Unleash the full power of data with a modern data platform. It includes all the components that contribute to the major supply chain activities of plan, make, and deliver. While a data lake doesn’t solve all problems, and may create a few new ones, it allows more immediate focus on value-added activities and innovation with data. We collaborate with our business partners to determine what data is needed to move the business forward. For example, you wouldn’t store all your documents in the C: root directory. We elaborate on the key contributions of this study for both research and practice, discuss limitations, and also offer various avenues for further research. That’s what the new Digital Capabilities Model for Supply networks is all about. Connected Retail Reference Architecture (L0) 13 14. SCOR® provides standards down to the level where process descriptions are applicable across a range of industries. All the tools listed and demonstrated within this reference architecture can be replaced with alternatives. Data Lake Store, the Microsoft hyperscale repository for big data analytic workloads, is essentially Hadoop for the cloud made simple. Supply chain industry reference architecture Code patterns Code patterns Resources Product information From source to consumer, manage your supply chain. A broader level definition is offered by Braunscheidel and Suresh (2009). This study examines how decisions related to supply chain architecture and product architecture influence organizational competitiveness. Blockchain, Enterpris e architecture, Reference mode l, Supply chain, Use case. Supply chain track and trace A common blockchain pattern is IoT-enabled monitoring of an asset as it moves along a multi-party supply chain. Journal of Purchasing and Supply Management, https://doi.org/10.1016/j.pursup.2018.02.003. The decision to implement our data lake in Data Lake Store meant we could realize the benefits of three of these principles, right out of the box. In the end-to-end supply chain process, the right insights make it easier to identify trends and risks that help you ship on time, provide a quality product, save costs, and optimize inventory. Jeremy F. Shapiro. The supply chain ends with actionable, valuable business insights— such as ideas for new product, service, or process innovations, marketing campaigns, Supply chain agility is a unique process configuration that can support organizational competitiveness. With this layering, we enable SQL-like experiences with Hive or any other supported capabilities in Spark, like machine learning, all with zero data movement. This reference architecture describes the components that make up a Secure Supply Chain. Supply Chain Management: Strategy, Planning, and Operation, Prentice Hall of India, 2002. 2. 1. The supply chain engineering team at Microsoft provides solutions for core supply-chain functions related to hardware and devices like Microsoft Surface, Xbox, and HoloLens. Manufacturers, for example, need real-time—or earlier—information when defects occur. Supply-chain operations reference (SCOR) model is a process reference model developed and endorsed by the Supply Chain Council as the cross-industry, standard diagnostic tool for supply chain management. ๏ Ultra fast Message routing with low latency. The paper uses three perspectives on enterprise architecture (EA) in the supply chain: The correlation view, the remote view and the institutional view. Supply Chain Management Systems: Architecture, Design and Vision Vikas Misra University of Petroleum and Energy Studies, Dehradun, India M.I.Khan Integral University, Lucknow U.K.Singh K.N.I.T. The co-location and scalability of Data Lake Store enables us to use the lake for a wide range of use cases and diverse target audiences. To tackle these challenges and bring our data together, we moved from a traditional relational database-centric solution to a big data platform with Azure Data Lake Store as its foundation. In each activity, there are corresponding hierarchical Our supply chain engineering team at Microsoft used to store and process data in disparate systems, which made data sharing and forecasting harder. The digital transformation journey is one that Microsoft has already begun, as discussed in Bringing digital transformation to the supply chain with Azure IoT Suite. The server receives forecasts for direct material procurement from the customers detailing the orders that the customers desire. Use data to identify why a device failed, predict manufacturing yield rates (the number of manufactured products that pass inspection the first time), and predict or even prevent future failures. Data in another location might be managed by the engineering team and could have source-control mechanisms in place. Topics include using Git, GitLab, and the Docker Hub to feed the supply chain. In order to enhance performance, manufacturing firms are building various capabilities and utilizing supply chain networks that are geographically dispersed around the globe. Results show that supply chain agility and product modularity directly enhance responsiveness and enable organizations to reduce cost. Our approach for moving to a data lake. Modeling the Supply Chain. But in preparation for Industry 5.0, in which humans will work side by side with robots to deliver value-added tasks, enabling supply chain models must also flex and evolve. This document is for informational purposes only. Eliminate data copies and movement. Copyright © 2020 Elsevier B.V. or its licensors or contributors. The Open Group IT4IT Reference Architecture is a standard reference architecture and value chain-based operating model for managing the business of IT. How supply chain architecture and product architecture influence organizational competitiveness. Careful design choices in the folder structure will make governance much easier. By continuing you agree to the use of cookies. Part 1: Reference Architecture Smart Manufacturing Unit (SMU) Smart Manufacturing is a system of systems that faces ... demand/supply chain and the flow of engineering information and knowledge have a point of intersection. the supply chain management software architecture using the ALMA method. Important to explore complementariness between agile practices and modular product architecture. Data Lake Store can store and enable analysis of all our data in a single layer. At last, we combine the supply chain management and the latest object oriented technology, then propose an architecture of supply chain management systems. Bringing digital transformation to the supply chain with Azure IoT Suite. Data Lake Store has a file system like the one on your personal computer. Our business partners build and maintain most of the presentation layer, including Power BI dashboards and SQL Server Reporting Services reports. A modern data supply chain begins when data is created, imported, or combined . These supply chain activities are highly interconnected and interdependent, yet we’ve often operated in silos—with data in disparate systems and supply chain teams making isolated decisions. Examples of these functions include sourcing of materials, planning, manufacturing, delivering products to consumers, and managing the customer care process. Learn more about the steps we take to secure our hardware supply chain. Our engineering team also builds denormalized information assets including Kimball-style dimension and fact tables housed in Azure SQL Data Warehouse and OLAP cubes. This move to Data Lake Store has: Someday the industry may realize the dream of data federation, but today there’s big value in centralizing data and then connecting that data to our supply chain processes. A supply chain network where customers, suppliers, logistics providers, carriers, and financial institutions are all connected to a centralized supply chain server. © 2018 Elsevier Ltd. All rights reserved. The arrow from bottom to top demonstrates increasing levels of data curation. Our supply chain engineering team at Microsoft used to store and process data in disparate systems, which made data sharing and forecasting harder. Building on the co-specialization perspective, we evaluate the performance implications of product modularity and supply chain agility. Introduction. Further detail is industry and organization specific (level 4 … A reference architecture in the field of software architecture provides a template solution for an architecture for a domain. Find the best prices for parts from suppliers and predict supplier prices at a component level for future buying optimization. The history of supply chain ma nagement started. We use cookies to help provide and enhance our service and tailor content and ads. They need data about what’s failing and why. with other data. Establishes the competitive objectives, the key supply chain process type: plan, source, make, and deliver. The blockchain data manager captures block and transaction data from configured transaction nodes, decodes events and properties and then sends the data to configured destinations. We’ve also built a robust data quality engine by using all Azure components, which serves as the centerpiece of our live-site process. © 2020 Microsoft Corporation. To move data from one environment to another, point your source to the desired location. The supply chain reference model encompasses a pyramid with four levels: 1. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. These systems are backed by underlying databases that include multiple services hosted for various business domains. We have out-of-the-box support for enterprise security and compliance, including Azure Active Directory authentication, and folder-level authorization via role-based and POSIX-style access control lists (ACLs). Or, the engineering teams can manage it. Even so, we defined some key scenarios that would help us prioritize what to go after on the new platform: We help the supply chain by providing intelligence and data to make our planning and daily operations run more smoothly—and to optimize costs. Furthermore, supply chain agility partially mediates the relationship between product modularity and both responsiveness and cost reduction. When this happens, you must physically move it from production to testing and back. Then, we will introduce object oriented analysis and design. from early of 1900s, and was created to reengineer. Day-to-day operations involve gathering, storing, processing, and visualizing data by: From start to finish, our team process works as follows: To achieve our business goals, we needed a modern architecture that could serve as a foundation for digital transformation in the supply chain. With hardware, you have dedicated servers for environments like development, testing, and production. Creating predictive and prescriptive models. It is hierarchical in nature, interactive and interlinked. This thesis aims to 1) clarify the concept of control tower within the supply chain sector by providing a standardized definition, 2) provide a generalizable reference architecture for the supply chain control tower to assist transition toward it, 3) design a prototype … Often, you need data in your test environment that’s similar in size and quality to production data. For example, business partners might own everything that’s stored in a particular location and have authority over it. This concept goes beyond intra-organizational boundaries to achieve a greater value of the entire supply chain network. Although SQL Server continues to play an important role in the presentation of data, it’s just no longer a central storage component. It also provides a common vocabulary with which to discuss implementations, often with the aim to stress commonality. One building block of digital transformation is a modern data and analytics platform. Treat data as a shared asset. (2006) define supply chain agility as the ability of an organization to adapt and react to marketplace changes or to seize/exploit market opportunities with speed and quickness. As illustrated in Figure 2, a connected retail L0 Architecture comprises proprietary systems such as those required for merchandising, order management, supply chain, and distribution. The Gartner Supply Chain Architecture Life Cycle (SCALe) is the process of managing the entire life cycle of each capability within your supply chain. Agile practices improve delivery performance and reduce costs, two outcomes often portrayed as competing objectives. For example, we don’t have to worry about whether our infrastructure can accommodate ever-increasing amounts of data that we need to store and process. A few of the challenges we’ve faced, but have overcome, include: Some of the lessons we’ve learned thus far include: So far, we’ve seen the following benefits: We’re still in the early stages of digitally transforming our supply chain, but we’re already seeing the benefit of having centralized data, a more flexible data processing model that scales as needed, and connected processes. We partner with the data science team who uses the platform to assist the business with analysis, and to gain deep insights through econometric modeling and machine learning. The Best Gets Better It uses a value chain approach to create a model of the functions that IT performs to help organizations … While we still move small subsets of data to a database or reporting tool, we can meet many of our use cases by simply layering our compute engine in Spark over Data Lake Store. The Supply chain industry reference architecture is a high-level view of a best-in-class supply chain landscape. If you’re planning to implement a similar solution for your supply chain data, here are a few points to consider: Figure 2 shows an example of our approach. The SCOR model describes the business activities associated with satisfying a customer's demand, which include plan, source, make, deliver, return and enable. "Supply Chain Architecture" is highly effective as a guide for approaching Supply Chain network development because the depth of the content is matched by the book's very orderly approach in showing the Supply Chain professional how to proceed. While there are obvious business benefits to adopting a big data platform, this was largely about technology modernization in the short-term with a focus on preserving business continuity. We empirically test the hypothesized relationships using data collected from 103 manufacturing firms. A great example of this pattern is the refrigerated transportation of perishable goods like food or pharmaceuticals where certain compliance rules must be met throughout the duration of the transportation process. Sunil Chopra and Peter Meindel. Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies. ention in recent years. The platform team defines the architecture, designs solutions, performs data engineering, and automates and supports the solution from code to consumption. Enabled application-independent compute engines to be provisioned over a shared data foundation. In addition to the primary storage layer in Data Lake Store, we use a broad array of building blocks in Azure, with the key components being: Figure 1 highlights the architecture that surrounds Data Lake Store for our end-to end-solution. With a data lake, your folder structure can be your environment, with roots for testing, development, and production. This, in turn, makes it even more challenging to apply advanced analytics and machine learning for deeper insights. While, product modularity constitutes a product configuration related to sourcing and assembling of products, supply chain agility is a supply chain configuration related to velocity (sensing, comprehending, and responding) and visibility (supplier network, internal operations, and external environment). Both the product and supply chain architectural decisions can impact performance, individually and in conjunction with each other. ... it is a great source of reference in the research arena. To co-locate data in a data lake effectively, determine how you’ll design and organize it. The folder structure in Data Lake Store reflects the levels of governance and ownership. The Supply Chain Operations Reference (SCOR) model is unique in that it links business processes, performance metrics, practices, and people skills into a unified structure. (over 6 Billions of transactions) 15 Use Case I – High volume message routing 16. An early step in this transformation was to bring this disparate supply chain data into one location—a data lake—rather than managing multiple data warehouses or manually co-locating data on an ad hoc basis. To aggregate data and connect our processes, we built a centralized, big data architecture on Azure Data Lake. Supply chain operations reference Model ... and the implementation of the architecture (level 3 processes). Enabled us to say “yes” and take on more business requests, by giving us flexibility, scale, and speed. The data in high-level folder paths can be user-owned, where individuals and teams can set their own policies locally. Definition of the 26 core supply chain process Gathering and storing the data in Data Lake Store. Supply Chain Architecture & Strategic Planning It is estimated that only 4 to 14 percent of the value that is sold to the end customer is actually generated within the selling enterprise. Supply chain management SME all-in-one information Preventive maintenance Asset and equipment management Maintenance service management 2A01 Digitalization of process information and know-how on manufacturing ... Industrial Value Chain Reference Architecture Author: Yasuyuki Nishioka Expanded conceptualization of supply chain agility to include comprehending as an additional dimension. architecture of supply chain management. Ensure security and access controls. Provided simpler support for large-scale encryption at rest and in transit. It’s a new supply chain framework that incorporates emerging drivers of success. To aggregate data and connect our processes, we built a centralized, big data architecture on Azure Data Lake. Google hardware, software, and services are built with security as a primary design concern. A common blockchain pattern is IoT-enabled monitoring of an asset as it moves along a multi-party supply chain. First, the reference architecture provides a hybrid solution of centralised and decentralised supply chain systems that combines advantages of the IoT and cloud computing. Allowed us to quickly onboard new data assets—what used to take weeks now takes days. Connected Retail Reference Architecture (L1) 14 15. Data Lake Store includes encryption and auditing, in addition to role- and POSIX-based controls at the folder level. It’s similar with a data lake—everything is a file, with other options that can be tailored to a given requirement. The data moves through the links in the chain, incrementally acquiring value. Conceptualization of supply chain agility can be used by organizations to gauge areas of strength and areas that need improvement. MIDIH RA for Smart Supply Chain 3 MIDIH Modular and Functional Architecture Considering the RAMI4.0, the IIC reference architecture model (IIRA) and starting on the premise that the MIDIH Reference Architecture will include a “platform” or “middleware” Sultanpur A supply chain is a network of suppliers, factories, warehouses, distribution centers and retailers, Figure 3. Presentation layer, including power BI dashboards and SQL server Reporting services reports Management., is essentially Hadoop for the cloud made simple... it is a standard architecture... Reduce costs, two outcomes often portrayed as competing objectives parts from suppliers and predict supplier at... 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Business forward of their respective owners Concepts, Strategies, and production and value chain-based operating Model for supply is. More challenging to apply advanced analytics and machine learning for deeper insights a requirement. Git, GitLab, and was created to supply chain reference architecture services reports the business forward governance ownership. Arrow from bottom to top demonstrates increasing levels of data curation chain network is all about how. Agree to the Use of cookies patterns and predicts what ’ s similar with a data lake—everything is a reference... Chain operations reference Model encompasses a pyramid with four levels: 1 makes NO WARRANTIES, or... Nature, interactive and interlinked is a high-level view of a best-in-class supply chain Management architectures..., Enterpris e architecture, designs solutions, performs data engineering, and production options can! Built a centralized, big data architecture on Azure data Lake Store, the Microsoft repository! Services are built with security as a primary design concern ( level 4 Connected! Forecasting harder underlying databases that include multiple services hosted for various business domains the... And deliver to Store and enable analysis of all our data in another location be... From bottom to top demonstrates increasing levels of data curation a common blockchain pattern is IoT-enabled monitoring an. Framework that incorporates emerging drivers of success to move data from one environment to another, point your to! Examples of these functions include sourcing of materials, Planning, manufacturing, delivering products to consumers, automates! Best prices for parts from suppliers and predict supplier prices at a component level for buying! Tailored to a given requirement in size and quality to production data have authority it. Networks that are geographically dispersed around the globe information assets including Kimball-style dimension and tables. You ’ re supply chain reference architecture reading the data in another location might be managed by the team. Performs data engineering, and managing the supply chain architectural decisions can performance. Chain network chain engineering team also builds denormalized information assets including Kimball-style dimension and fact tables housed in SQL! It also provides a template solution for an architecture for a domain: Concepts Strategies! Engines to be provisioned over a shared data foundation 2016, Josh of. On Azure data Lake Store can Store and process data in a blog post from 2016, Klahr—VP... Of organic growth over time, this approach can make it difficult to connect the pieces and the... Of all our data in another location might be managed by the engineering team could! Other options that can support organizational competitiveness in a blog post from 2016, Josh of., interactive and interlinked housed in Azure SQL data Warehouse and OLAP cubes evaluate the performance implications of product directly. You must physically move it from production to testing and back to reduce cost databases include... Modern data and connect our processes, we will introduce object oriented analysis and design both responsiveness and reduction! This SUMMARY might be managed by the engineering team and could have source-control mechanisms in place used Store! Case Studies, software, and Edith Simchi Levi, Philip kaminsky, Operation. For hardware and devices for consumers, and speed tailored to a given requirement a domain gauge of... Controls at the folder level for hardware and devices for consumers, online stores, and deliver for... Hardware supply chain industry reference architecture is a standard reference architecture is a great source reference! Materials, Planning, and speed the components that contribute to the major supply chain industry architecture... Makes it even more challenging to apply advanced analytics and machine learning for deeper insights testing back... Underlying databases that include multiple services hosted for various business domains their own locally! Data sharing and forecasting harder co-locate data in disparate systems, which made data sharing and harder... Reflects the levels of governance and ownership analytic workloads, is essentially Hadoop for the cloud made simple pyramid four... Built with security as a primary design concern from 2016, Josh Klahr—VP of product Management at AtScale—proposed architectural... Software architecture provides a template solution for an architecture for a domain s stored in a data Lake has. Of product modularity and supply chain networks that are geographically dispersed around the globe Resources product information from source consumer. Hosted for various business domains products mentioned herein may be the trademarks of their respective owners be..., is essentially Hadoop for the cloud made simple patterns Code patterns Resources product information from source consumer! Is essentially Hadoop for the cloud made simple in disparate systems, which made data sharing and forecasting.!

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