APICS Updated CTSC Exam Questions and Answers by lillian

Order fulfillment

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According to the ASCM CTSC Exam Content Manual, an order line is defined as "a commitment on a sales order that always references a product and promise delivery date.An order line may also reference a quantity, a price, and a customer location."1This definition is consistent with the concept of perfect order fulfillment, which measures how well a company delivers its orders according to the customer’s specifications and expectations.

1: ASCM CTSC Exam Content Manual, page 10.

According to the CTSC Exam Content Manual1, statistical process control (SPC) is a key component of a total quality management (TQM) program. SPC is a technique that uses statistical methods and tools to monitor and control the variation and performance of a process. SPC helps to ensure that the process is stable, capable, and predictable, and that the output meets the customer specifications and expectations. SPC also helps to identify and eliminate the causes of defects and errors, and to improve the quality and efficiency of the process. Option B, JIT inventory, is a component of lean manufacturing, not TQM. JIT inventory aims to reduce inventory levels and costs by delivering materials or components just before they are needed in the production process. Option C, autonomous maintenance, is a component of total productive maintenance (TPM), not TQM. Autonomous maintenance involves empowering the operators to perform basic maintenance tasks on their own equipment, such as cleaning, lubricating, inspecting, and adjusting. Option D, SCO, is a component of supply chain management, not TQM. SCO involves optimizing the flow of materials, information, and money across the supply chain network, from the suppliers to the customers.

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

According to the CTSC Enterprise and Supply Chain Management (ESCM) manual, a staple yourself interview is a technique for performing a review of a SCOR level 3 process from beginning to end1.It involves following the process as if you were the product or service being delivered, and asking questions such as: Who is involved in this process? What are they doing? Why are they doing it? How are they doing it? How long does it take? How much does it cost? What are the inputs and outputs of each activity? What are the risks and opportunities for improvement?1This technique helps to identify the gaps, inefficiencies, and best practices in the process, and to generate insights and recommendations for improvement1.

1: https://www.ascm.org/ctsc-ecm/