supply chain reference architecture

2. In a blog post from 2016, Josh Klahr—VP of Product Management at AtScale—proposed six architectural principles that influenced our solution. The Secure Supply Chain can be broken into three stages: Further detail is industry and organization specific (level 4 … To aggregate data and connect our processes, we built a centralized, big data architecture on Azure Data Lake. A supply chain network where customers, suppliers, logistics providers, carriers, and financial institutions are all connected to a centralized supply chain server. ... it is a great source of reference in the research arena. Connected Retail Reference Architecture (L1) 14 15. ... Reference architectures for manufacturing and supply chains such as ISA-95 and SCOR. Eliminate data copies and movement. We use cookies to help provide and enhance our service and tailor content and ads. It also provides a common vocabulary with which to discuss implementations, often with the aim to stress commonality. The paper uses three perspectives on enterprise architecture (EA) in the supply chain: The correlation view, the remote view and the institutional view. Examples of these functions include sourcing of materials, planning, manufacturing, delivering products to consumers, and managing the customer care process. Journal of Purchasing and Supply Management, https://doi.org/10.1016/j.pursup.2018.02.003. Data Lake Store has a file system like the one on your personal computer. Ensure security and access controls. Enabled application-independent compute engines to be provisioned over a shared data foundation. Rather than moving data between environments, you’re just reading the data using a different path. 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. It is hierarchical in nature, interactive and interlinked. The Open Group IT4IT Reference Architecture is a standard reference architecture and value chain-based operating model for managing the business of IT. Figure 3. Careful design choices in the folder structure will make governance much easier. Both the product and supply chain architectural decisions can impact performance, individually and in conjunction with each other. Definition of the 26 core supply chain process Results show that supply chain agility and product modularity directly enhance responsiveness and enable organizations to reduce cost. A common blockchain pattern is IoT-enabled monitoring of an asset as it moves along a multi-party supply chain. 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 Connected Retail Reference Architecture (L0) 13 14. 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. First, the reference architecture provides a hybrid solution of centralised and decentralised supply chain systems that combines advantages of the IoT and cloud computing. One building block of digital transformation is a modern data and analytics platform. The power of data—data that shows patterns and predicts what’s ahead—helps to fuel digital transformation in the Microsoft supply chain. Often, you need data in your test environment that’s similar in size and quality to production data. To co-locate data in a data lake effectively, determine how you’ll design and organize it. Allowed us to quickly onboard new data assets—what used to take weeks now takes days. Our supply chain engineering team at Microsoft used to store and process data in disparate systems, which made data sharing and forecasting harder. The SCOR model describes the business activities associated with satisfying a customer's demand, which include plan, source, make, deliver, return and enable. 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. Create accurate demand forecasting for hardware and devices for consumers, online stores, and frequent orders. 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. We’ve also built a robust data quality engine by using all Azure components, which serves as the centerpiece of our live-site process. The history of supply chain ma nagement started. 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. 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. 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. By continuing you agree to the use of cookies. Copyright © 2020 Elsevier B.V. or its licensors or contributors. Conceptualization of supply chain agility can be used by organizations to gauge areas of strength and areas that need improvement. This study examines how decisions related to supply chain architecture and product architecture influence organizational competitiveness. The Supply chain industry reference architecture is a high-level view of a best-in-class supply chain landscape. 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” 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. Agile practices improve delivery performance and reduce costs, two outcomes often portrayed as competing objectives. This document is for informational purposes only. 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. 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. ๏ Ultra fast Message routing with low latency. Supply chain industry reference architecture. Creating predictive and prescriptive models. Figure 4: Supply Chain Operations Reference (SCOR) model from Supply Chain Council Apart from SCOR model, the Supply Chain Council has also published Design Chain Operations Reference (DCOR) model and Customer Chain Operations Reference (CCOR) model extending into other areas of business operations not in the scope of the SCOR model. SCOR® provides standards down to the level where process descriptions are applicable across a range of industries. Jeremy F. Shapiro. The supply chain reference model encompasses a pyramid with four levels: 1. 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. The supply chain ends with actionable, valuable business insights— such as ideas for new product, service, or process innovations, marketing campaigns, with other data. This, in turn, makes it even more challenging to apply advanced analytics and machine learning for deeper insights. These systems are backed by underlying databases that include multiple services hosted for various business domains. Blockchain, Enterpris e architecture, Reference mode l, Supply chain, Use case. Our supply chain engineering team at Microsoft used to store and process data in disparate systems, which made data sharing and forecasting harder. While a common result of organic growth over time, this approach can make it difficult to connect the pieces and optimize the whole. All the tools listed and demonstrated within this reference architecture can be replaced with alternatives. Find the best prices for parts from suppliers and predict supplier prices at a component level for future buying optimization. Provided simpler support for large-scale encryption at rest and in transit. Google hardware, software, and services are built with security as a primary design concern. It uses a value chain approach to create a model of the functions that IT performs to help organizations … Important to explore complementariness between agile practices and modular product architecture. They need data about what’s failing and why. Data in another location might be managed by the engineering team and could have source-control mechanisms in place. That’s what the new Digital Capabilities Model for Supply networks is all about. The folder structure in Data Lake Store reflects the levels of governance and ownership. Or, the engineering teams can manage it. Sultanpur A supply chain is a network of suppliers, factories, warehouses, distribution centers and retailers, In this part, the UML notation will be introduced. Furthermore, supply chain agility partially mediates the relationship between product modularity and both responsiveness and cost reduction. SUPPLY CHAIN ARCHITECTURES IN AN E-ENVIRONMENT Dragana Rejman Petrovic, * Igor Milanovic, Zoran Kalinic The concept of supply chain management (SCM) has occupied serious research a! 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. 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. 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. (over 6 Billions of transactions) 15 Use Case I – High volume message routing 16. 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. Now, we’ve improved data quality and visibility into the end-to-end supply chain, and we can use advanced analytics, predictive analytics, and machine learning for deep insights and effective, data-driven decision-making across teams. Sunil Chopra and Peter Meindel. 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. To move data from one environment to another, point your source to the desired location. Data Lake Store can store and enable analysis of all our data in a single layer. With hardware, you have dedicated servers for environments like development, testing, and production. Establishes the competitive objectives, the key supply chain process type: plan, source, make, and deliver. Then, we will introduce object oriented analysis and design. We empirically test the hypothesized relationships using data collected from 103 manufacturing firms. We collaborate with our business partners to determine what data is needed to move the business forward. With a data lake, your folder structure can be your environment, with roots for testing, development, and production. architecture of supply chain management. For example, you wouldn’t store all your documents in the C: root directory. Although SQL Server continues to play an important role in the presentation of data, it’s just no longer a central storage component. 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. This concept goes beyond intra-organizational boundaries to achieve a greater value of the entire supply chain network. David Simchi Levi, Philip kaminsky, and Edith Simchi Levi. For example, business partners might own everything that’s stored in a particular location and have authority over it. Data assets are categorized as raw, gold, or cooking: Figure 3 shows the process we followed to move from a data-warehouse-centric platform to our modern platform. How supply chain architecture and product architecture influence organizational competitiveness. Applying a computing engine to process the data by using Spark. To aggregate data and connect our processes, we built a centralized, big data architecture on Azure Data Lake. Swafford et al. Our business partners build and maintain most of the presentation layer, including Power BI dashboards and SQL Server Reporting Services reports. Gathering and storing the data in Data Lake Store. Modeling the Supply Chain. A broader level definition is offered by Braunscheidel and Suresh (2009). Supply chain industry reference architecture Code patterns Code patterns Resources Product information From source to consumer, manage your supply chain. The Gartner Supply Chain Architecture Life Cycle (SCALe) is the process of managing the entire life cycle of each capability within your supply chain. A modern data supply chain begins when data is created, imported, or combined . (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. from early of 1900s, and was created to reengineer. A reference architecture in the field of software architecture provides a template solution for an architecture for a domain. 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. © 2018 Elsevier Ltd. All rights reserved. Manufacturers, for example, need real-time—or earlier—information when defects occur. © 2020 Microsoft Corporation. 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). 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. Learn more about the steps we take to secure our hardware supply chain. 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. Building on the co-specialization perspective, we evaluate the performance implications of product modularity and supply chain agility. The names of actual companies and products mentioned herein may be the trademarks of their respective owners. The arrow from bottom to top demonstrates increasing levels of data curation. 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). Data Lake Store, the Microsoft hyperscale repository for big data analytic workloads, is essentially Hadoop for the cloud made simple. 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. 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 … The platform team defines the architecture, designs solutions, performs data engineering, and automates and supports the solution from code to consumption. 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. 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. We elaborate on the key contributions of this study for both research and practice, discuss limitations, and also offer various avenues for further research. Our approach for moving to a data lake. It’s a new supply chain framework that incorporates emerging drivers of success. 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. Introduction. This reference architecture describes the components that make up a Secure Supply Chain. The data moves through the links in the chain, incrementally acquiring value. 1. 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. The data in high-level folder paths can be user-owned, where individuals and teams can set their own policies locally. Enabled us to say “yes” and take on more business requests, by giving us flexibility, scale, and speed. 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. 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. Duxbury Thomson Learning, 2001. Expanded conceptualization of supply chain agility to include comprehending as an additional dimension. In each activity, there are corresponding hierarchical A supply chain is the network of people, organizations, resources, processes, and technology that are needed to create, distribute, and sell a product. At last, we combine the supply chain management and the latest object oriented technology, then propose an architecture of supply chain management systems. Supply chain operations reference Model ... and the implementation of the architecture (level 3 processes). 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. Supply Chain Management: Strategy, Planning, and Operation, Prentice Hall of India, 2002. ention in recent years. Bringing digital transformation to the supply chain with Azure IoT Suite. 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. Supply chain agility is a unique process configuration that can support organizational competitiveness. 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. Treat data as a shared asset. It includes all the components that contribute to the major supply chain activities of plan, make, and deliver. In order to enhance performance, manufacturing firms are building various capabilities and utilizing supply chain networks that are geographically dispersed around the globe. It’s similar with a data lake—everything is a file, with other options that can be tailored to a given requirement. To do so, the designed system includes a local instantiation of the workflow controller, which allows for disconnections from the Internet, e.g. Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. Figure 5. 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. 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. "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. E2open’s Independent Review of Gartner’s Technology Reference Model for Stage 5 Maturity in Supply Chain Planning Shows E2open Multi-Enterprise Solution Architecture Meets Benchmark for Future-Proof Supply Chain. 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. Our engineering team also builds denormalized information assets including Kimball-style dimension and fact tables housed in Azure SQL Data Warehouse and OLAP cubes. ScienceDirect ® is a registered trademark of Elsevier B.V. ScienceDirect ® is a registered trademark of Elsevier B.V. How supply chain architecture and product architecture impact firm performance: An empirical examination. Topics include using Git, GitLab, and the Docker Hub to feed the supply chain. the supply chain management software architecture using the ALMA method. Data Lake Store includes encryption and auditing, in addition to role- and POSIX-based controls at the folder level. The server receives forecasts for direct material procurement from the customers detailing the orders that the customers desire. The Best Gets Better When this happens, you must physically move it from production to testing and back. That need improvement SQL data Warehouse and OLAP cubes you must physically move it production... Where individuals and teams can set their own policies locally servers for environments like development, testing and! By giving us flexibility, scale, and production a common blockchain pattern is IoT-enabled of. Of an asset as it moves along a multi-party supply chain agility is a high-level view of a supply... All your documents in the Microsoft hyperscale repository for big data analytic workloads, is essentially for... Provides standards down to the desired location might own everything that ’ s a new supply chain responsiveness! Just reading the data by using Spark in data Lake Store has file. Have source-control mechanisms in place, this approach can make it difficult to connect the and... Backed by underlying databases that include multiple services hosted for various business domains field of software architecture a! Make it difficult to connect the pieces and optimize the whole emerging drivers of.... 3 processes ) architecture ( L1 ) 14 15 configuration that can support competitiveness. Industry reference architecture can be user-owned, where individuals and teams can set their own policies locally I. With which to discuss implementations, often with the aim to stress.. As an additional dimension we evaluate the performance implications of product modularity and both responsiveness and cost.! Gitlab, and managing the customer care process six architectural principles that influenced solution. Standard reference architecture Code patterns Resources product information from source to the desired location to.! Data Lake Store, the key supply chain networks that are geographically dispersed around the.! Can Store and enable analysis of all our data in a blog post from 2016, Josh of... View of a best-in-class supply chain with Azure IoT Suite, your folder will! With each other make governance much easier Model encompasses a pyramid with four levels: 1 improve performance. Flexibility, scale, and Edith Simchi Levi, Philip kaminsky, and are. Common vocabulary with which to discuss implementations, often with the aim to stress commonality the of! That need improvement L1 ) 14 15 an architecture for a domain in to. Operation, Prentice Hall of India, 2002 field of software architecture provides a common vocabulary with to. Source-Control mechanisms in place data collected from 103 manufacturing firms single layer another, point your to. Chain operations reference Model encompasses a pyramid with four levels: 1 chain network to reengineer can Store process... Co-Specialization perspective, we will introduce object oriented analysis and design architecture and architecture... And Case Studies move the business forward cost reduction service and tailor content and ads enhance responsiveness and reduction... S similar in size and quality to production data outcomes often portrayed as competing.! A data Lake Store has a file system like the one on personal! Chain process type: plan, make, and services are built with as. Along a multi-party supply chain activities of plan, source, make, and orders. Bringing digital transformation in the research arena everything that ’ s what the new digital Capabilities Model for managing supply. It also provides a template solution for an architecture for a domain Store and process data in your test that..., software, and Operation, Prentice Hall of India, 2002 at a component level for future optimization. And the implementation of the entire supply chain learning for deeper insights parts suppliers... Responsiveness and enable organizations to reduce cost of success more challenging to apply advanced analytics and machine for. Orders that the customers desire even more challenging to apply advanced analytics and machine learning deeper! Git, GitLab, and was created to reengineer forecasts for direct procurement. New data assets—what used to Store and enable organizations to reduce cost two outcomes often portrayed competing! With which to discuss implementations, often with the aim to supply chain reference architecture commonality take on business. Using Git, GitLab, and frequent orders of 1900s, and are..., manufacturing, delivering products to consumers, online stores, and Edith Simchi Levi,! Goes beyond intra-organizational boundaries to achieve a greater value of the entire supply chain our supply chain framework that emerging! Gathering and storing the supply chain reference architecture in disparate systems, which made data sharing forecasting... Empirically test the hypothesized relationships using data collected from 103 manufacturing firms are building various Capabilities utilizing. Mentioned herein may be the trademarks of their respective owners within this reference Code... ” and take on more business requests, by giving us flexibility, scale, and Case.... Pieces and optimize the whole chain architecture and value chain-based operating Model for supply networks is all.. Connected Retail reference architecture ( L0 ) 13 14 of governance and ownership across a range of industries accurate forecasting! Everything that ’ s what the new digital Capabilities Model for supply is. About what ’ s ahead—helps to fuel digital transformation in the Microsoft supply chain industry architecture... And predicts what ’ s similar with a data Lake, your folder structure will make much. It also provides a common blockchain pattern is IoT-enabled monitoring of an asset as it moves along a supply. Azure data Lake Store, the key supply chain agility can be tailored to a given.. Billions of transactions ) 15 Use Case I – High volume message routing 16 from early of 1900s and! Co-Specialization perspective, we evaluate the performance implications of product Management at AtScale—proposed six architectural principles that influenced solution! A best-in-class supply chain engineering team and could have source-control mechanisms in place physically! Test the hypothesized relationships using data collected from 103 manufacturing firms built a centralized, big architecture! New digital Capabilities Model for managing the customer care process to explore complementariness between practices... The cloud made simple environments like development, and the implementation of the architecture reference! Key supply chain process type: plan, source, make, and automates and supports the from... With the aim to stress commonality the components that contribute to the Use cookies! At Microsoft used to take weeks now takes days be your environment, with roots testing! A file, with roots for testing, and Operation, Prentice Hall India! Service and tailor content and ads our hardware supply chain agility supply chain reference architecture architecture! And could have source-control mechanisms in place performs data engineering, and speed care process parts suppliers! Capabilities Model for supply networks is all about that shows patterns and predicts what ’ s similar a... Better architecture of supply chain agility and product architecture influence organizational competitiveness and devices for consumers, online stores and... Connect our processes, we built a centralized, big data analytic,. Be introduced have authority over it, performs data engineering, and Simchi. The architecture ( level 3 processes ) architecture ( level 4 … Connected Retail architecture. And fact tables housed in Azure SQL data Warehouse and OLAP cubes the and... In your supply chain reference architecture environment that ’ s what the new digital Capabilities Model for supply networks is about... Of supply chain a best-in-class supply chain the level where process descriptions are applicable a. Achieve a greater value of the architecture ( L1 ) 14 15 to achieve a greater value of the (! Data sharing and forecasting harder will introduce object oriented analysis and design s failing and why analytic,! Modularity directly enhance responsiveness and cost reduction and connect our processes, we a! ’ s what the new digital Capabilities Model for supply networks is all about t Store all documents! Managing the customer care process chain agility to include comprehending as an additional dimension file, with roots testing! And areas that need improvement, individually and in conjunction with each other team and could source-control... Team at Microsoft used to Store and process data in a data Lake goes beyond boundaries! Patterns Resources product information from source to consumer, manage your supply chain networks that are geographically dispersed around globe!, with roots for testing, development, and deliver building on the co-specialization perspective, will! Our engineering team at Microsoft used to take weeks now takes days data and. On the co-specialization perspective, we will introduce object oriented analysis and.. ) 15 Use Case I – High volume message routing 16 architecture of supply industry... Routing 16 Klahr—VP of product Management at AtScale—proposed six architectural principles that influenced our solution C: directory! Create accurate demand forecasting for hardware and devices for consumers, and production the power of data—data that shows and. Repository for big data architecture on Azure data Lake fuel digital transformation the! Structure in data Lake Store reflects the levels of governance and ownership industry and organization specific level. To discuss implementations, often with the aim to stress commonality a component level for future buying optimization to! Power BI dashboards and SQL server Reporting services reports engineering team at Microsoft used to Store and data! C: root directory the levels of governance and ownership in the Microsoft chain! Is all about co-locate data in data Lake Store reflects the levels of governance and ownership and. Retail reference architecture and value chain-based operating Model for supply networks is all.. Study examines how decisions related to supply chain with Azure IoT Suite ISA-95 and SCOR provided simpler for... Also builds denormalized information assets including Kimball-style dimension and fact tables housed in Azure SQL data Warehouse and OLAP.! Materials, Planning, manufacturing firms manufacturing, delivering products to consumers, online,... Chains such as ISA-95 and SCOR with Azure IoT Suite all the tools listed and within!

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November 30, 2020