Which of the following collaboration mechanisms involves the establishment of long-term relationships with partners to improve the overall efficiency and effectiveness of the supply chain?
Answer(s): B
According to the ASCM CTSC Exam Content Manual, CPFR is a collaboration mechanism that involves the establishment of long-term relationships with partners to improve the overall efficiency and effectiveness of the supply chain. CPFR is defined as "a business practice that combines the intelligence of multiple trading partners in the planning and fulfillment of customer demand"1. CPFR enables partners to share information, align plans, and synchronize activities across the supply chain, resulting in reduced inventories, improved service levels, and increased sales23.1: ASCM CTSC Exam Content Manual, page 8. 2: Six steps to successful supply chain collaboration | McKinsey 3: Supply Chain Collaboration: Meaning, Importance, Features & Impact | GEP Blog
A firm creating a digital supply chain transformation team wants to ensure the data feeds to be used are of high quality and free of errors. Which key role within the transformation team should be responsible for the quality and accuracy of the data feeds?
According to the ASCM CTSC Exam Content Manual, a data steward is a key role within a digital supply chain transformation team that is responsible for the quality and accuracy of the data feeds. A data steward is defined as "an oversight or data governance role within an organization, and is responsible for ensuring the quality and fitness for purpose of the organization's data assets, including the metadata for those data assets"1. A data steward may share some responsibilities with a data custodian, such as the awareness, accessibility, release, appropriate use, security and management of data1. A data steward would also participate in the development and implementation of data assets. A data steward may seek to improve the quality and fitness for purpose of other data assets their organization depends upon but is not responsible for1. Data stewards have a specialist role that utilizes an organization's data governance processes, policies, guidelines and responsibilities for administering an organizations' entire data in compliance with policy and/or regulatory obligations1. The overall objective of a data steward is the data quality of the data assets, datasets, data records and data elements1. This includes documenting metainformation for the data, such as definitions, related rules/governance, physical manifestation, and related data models (most of these properties being specific to an attribute/concept relationship), identifying owners/custodian's various responsibilities, relations insight [definition needed] pertaining to attribute quality, aiding with project requirement data facilitation and documentation of capture rules1. Data stewards begin the stewarding process with the identification of the data assets and elements which they will steward, with the ultimate result being standards, controls and data entry1. The steward works closely with business glossary standards analysts (for standards), with data architect / modelers (for standards), with DQ analysts (for controls) and with operations team members (good-quality data going in per business rules) while entering data1. Data stewardship roles are common when organizations attempt to exchange data precisely and consistently between computer systems and to reuse data-related resources1. Master data management often [quantify] makes references to the need for data stewardship for its implementation to succeed. Data stewardship must have precise purpose, fit for purpose or fitness1.1: Data steward - Wikipedia
Creating a replica of a real process, product, or service in order to create a virtual representation is called a digital:
Answer(s): A
a digital twin is a virtual representation of a real-world object or system. These virtual models are used to digitally represent performance, identify inefficiencies, and design solutions to improve their physical counterparts. A digital twin is a digital model designed to accurately reflect a physical object. The object being studied--for example, a wind turbine--is outfitted with various sensors related to vital areas of functionality. These sensors produce data about different aspects of the physical object's performance, such as energy output, temperature, weather conditions and more. This data is then relayed to a processing system and applied to the digital copy. Once informed with such data, the virtual model can be used to run simulations, study performance issues and generate possible improvements, all with the goal of generating valuable insights--which can then be applied back to the original physical object. A digital twin is a digital representation of a real-world entity or system. The implementation of a digital twin is an encapsulated software object or model that mirrors a unique physical object, process, organization, person or other abstraction.
An organization studying its strategic environment for establishing the scope of its supply chain transformation project must first create a:
Answer(s): D
According to the ASCM CTSC Exam Content Manual, a business issue repository is a tool that helps an organization to study its strategic environment for establishing the scope of its supply chain transformation project. A business issue repository is defined as "a collection of business issues that are identified and prioritized by the organization's leadership team and other key stakeholders"1. A business issue repository helps to align the supply chain transformation objectives with the organization's vision, mission, and strategy, and to identify the gaps and opportunities for improvement in the current supply chain performance1. A business issue repository also helps to communicate the rationale and benefits of the transformation to the internal and external stakeholders, and to monitor and measure the progress and outcomes of the transformation1.1: ASCM CTSC Exam Content Manual, page 14.
The most prominent characteristic of a digital supply chain is:
one of the most prominent characteristics of a digital supply chain is the access to latest point-of- sale (POS) data across the network. POS data refers to the information collected by retailers at the point of purchase, such as the product, quantity, price, date, time, and location of the transaction3. Access to this data enables digital supply chains to have real-time visibility of customer demand, inventory levels, and market trends, and to use advanced analytics and artificial intelligence to optimize planning, forecasting, replenishment, and delivery12. Access to POS data also helps digital supply chains to improve customer satisfaction, reduce costs, increase sales, and enhance collaboration among supply chain partners12.
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