Ensure security and access controls. Supply chain agility is a unique process configuration that can support organizational competitiveness. The Secure Supply Chain can be broken into three stages: Establishes the competitive objectives, the key supply chain process type: plan, source, make, and deliver. Manufacturers, for example, need real-time—or earlier—information when defects occur. 2. Sunil Chopra and Peter Meindel. Data Lake Store can store and enable analysis of all our data in a single layer. 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. 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 … Allowed us to quickly onboard new data assets—what used to take weeks now takes days. Conceptualization of supply chain agility can be used by organizations to gauge areas of strength and areas that need improvement. Often, you need data in your test environment that’s similar in size and quality to production data. The Gartner Supply Chain Architecture Life Cycle (SCALe) is the process of managing the entire life cycle of each capability within your supply chain. 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. Data Lake Store has a file system like the one on your personal computer. This, in turn, makes it even more challenging to apply advanced analytics and machine learning for deeper insights. Our business partners build and maintain most of the presentation layer, including Power BI dashboards and SQL Server Reporting Services reports. Connected Retail Reference Architecture (L0) 13 14. Both the product and supply chain architectural decisions can impact performance, individually and in conjunction with each other. Building on the co-specialization perspective, we evaluate the performance implications of product modularity and supply chain agility. How supply chain architecture and product architecture influence organizational competitiveness. Gathering and storing the data in Data Lake Store. 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. Jeremy F. Shapiro. The folder structure in Data Lake Store reflects the levels of governance and ownership. 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). 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 A modern data supply chain begins when data is created, imported, or combined . 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. Definition of the 26 core supply chain process 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. 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. The supply chain ends with actionable, valuable business insights— such as ideas for new product, service, or process innovations, marketing campaigns, 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. The power of data—data that shows patterns and predicts what’s ahead—helps to fuel digital transformation in the Microsoft supply chain. Journal of Purchasing and Supply Management, https://doi.org/10.1016/j.pursup.2018.02.003. With a data lake, your folder structure can be your environment, with roots for testing, development, and production. By continuing you agree to the use of cookies. 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. Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies. Connected Retail Reference Architecture (L1) 14 15. Figure 5. It also provides a common vocabulary with which to discuss implementations, often with the aim to stress commonality. The SCOR model describes the business activities associated with satisfying a customer's demand, which include plan, source, make, deliver, return and enable. To do so, the designed system includes a local instantiation of the workflow controller, which allows for disconnections from the Internet, e.g. Data in another location might be managed by the engineering team and could have source-control mechanisms in place. To co-locate data in a data lake effectively, determine how you’ll design and organize it. All the tools listed and demonstrated within this reference architecture can be replaced with alternatives. The data moves through the links in the chain, incrementally acquiring value. Eliminate data copies and movement. A supply chain is the network of people, organizations, resources, processes, and technology that are needed to create, distribute, and sell a product. We’ve also built a robust data quality engine by using all Azure components, which serves as the centerpiece of our live-site process. Introduction. Treat data as a shared asset. Provided simpler support for large-scale encryption at rest and in transit. For example, you wouldn’t store all your documents in the C: root directory. 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. Copyright © 2020 Elsevier B.V. or its licensors or contributors. ๏ Ultra fast Message routing with low latency. Data Lake Store, the Microsoft hyperscale repository for big data analytic workloads, is essentially Hadoop for the cloud made simple. The Supply chain industry reference architecture is a high-level view of a best-in-class supply chain landscape. ... Reference architectures for manufacturing and supply chains such as ISA-95 and SCOR. With hardware, you have dedicated servers for environments like development, testing, and production. First, the reference architecture provides a hybrid solution of centralised and decentralised supply chain systems that combines advantages of the IoT and cloud computing. 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. Swafford et al. 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. Figure 3. Although SQL Server continues to play an important role in the presentation of data, it’s just no longer a central storage component. 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. 1. Our approach for moving to a data lake. MICROSOFT MAKES NO WARRANTIES, EXPRESS OR IMPLIED, IN THIS SUMMARY. 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. SCOR® provides standards down to the level where process descriptions are applicable across a range of industries. Duxbury Thomson Learning, 2001. Enabled us to say “yes” and take on more business requests, by giving us flexibility, scale, and speed. 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. 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.

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