According to the ASCM SCOR Digital Standard, the SCOR model uses the term optimized to indicate

the highest level of performance for a given metric. Optimized metrics are those that are prioritized

by the organization and have a target performance level that is based on the best-in-class benchmark

or the desired competitive advantage. The SCOR model defines six levels of performance for each

metric: inferior, poor, nominal, competitive, advantage, and optimized (p. 17) 1. The other options

are not used in the SCOR model to prioritize metrics and estimate target performance level.

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responsive supply-demand matching (RDSM) is the ability to sense demand exceptions, target

revenue opportunities and resolve supply challenges through planning of constrained resources and

allocation of supply across the network to best meet demand according to the business strategy1.

One of the benefits of RDSM is to improve the customer service level by fulfilling the demand on

time and in full1. Therefore, one of the supply chain metrics that should be included on the RDSM

dashboard is on-time, in-full, which measures the percentage of orders that are delivered to the

customers within the agreed time window and with the correct quantity and quality2.

The other options are not suitable for the RDSM dashboard, as they are not directly related to the

RDSM objectives or outcomes. Inventory quality ratio is a metric that measures the percentage of

inventory that is in good condition and can be sold to the customers3. This metric is more relevant

for the inventory optimization phase of the digital transformation, which aims to reduce the

inventory costs and risks4. Customer backorder rate is a metric that measures the percentage of

orders that are not fulfilled on time due to the lack of inventory5. This metric is more relevant for the

demand sensing and shaping phase of the digital transformation, which aims to improve the demand

forecasting accuracy and responsiveness6. Sell-through rate is a metric that measures the percentage

of inventory that is sold within a given period of time. This metric is more relevant for the omni-

channel fulfillment phase of the digital transformation, which aims to optimize the order fulfillment

across different channels and locations.

According to the CTSC Exam Content Manual1, one of the key capabilities for supply chain resilience

is agility, which is the ability to respond quickly and effectively to unanticipated disruptions. Agility

enables supply chain professionals to adapt to changing customer needs, market conditions, and

operational challenges. Another key capability for supply chain resilience is velocity, which is the

speed at which products and information flow through the supply chain. Velocity enables supply

chain professionals to reduce lead times, improve service levels, and increase customer satisfaction.

Therefore, increasing levels of agility and velocity is a measure that should be adopted for supply

chains to become more resilient to unanticipated disruptions. Option A, implementing internal

standards of risk awareness and response, is a measure that can help mitigate the impact of

disruptions, but it does not necessarily increase the resilience of the supply chain. Option B, ensuring

that there is clear responsibility for identifying risk, is a measure that can help prevent or reduce the

likelihood of disruptions, but it does not necessarily increase the resilience of the supply chain.

Option C, decreasing inventory levels to the minimum level possible, is a measure that can reduce

costs and waste, but it can also increase the vulnerability of the supply chain to disruptions.

According to the ASCM, one of the key steps in supply chain transformation is to define the

organizational roles and responsibilities for each supply chain activity, and to ensure that they are

aligned with the business strategy and customer expectations1. The ASCM also suggests that the

supply chain activities can be grouped into three main categories: sales, operations, and logistics2.

These categories reflect the core functions of the supply chain, from planning and executing the

demand and supply, to delivering the products and services to the customers2. Therefore,

organizational roles and responsibilities should focus on these three areas to clarify who is

responsible and accountable for each supply chain activity after the transformation initiative is

complete. Some examples of the roles and responsibilities in each area are:

Sales: Responsible for generating and managing the customer demand, forecasting the sales volume,

and ensuring customer satisfaction and loyalty. Examples of roles are sales manager, account

manager, customer service representative, and demand planner2.

Operations: Responsible for producing and sourcing the products and services, managing the

inventory and quality, and optimizing the cost and efficiency. Examples of roles are operations

manager, production manager, procurement manager, and quality manager2.

Logistics: Responsible for transporting and distributing the products and services, coordinating with

the suppliers and carriers, and ensuring the delivery speed and reliability. Examples of roles are

logistics manager, warehouse manager, transportation manager, and distribution manager2.

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According to the CTSC Enterprise and Supply Chain Management (ESCM) manual, effective

collaborative relationships with supply chain partners are more likely to be forged when a team buys

into three areas: accountability, business alignment, and vision statement1. Accountability means

that each partner is responsible for delivering on their commitments and adhering to the agreed-

upon rules and standards1. Business alignment means that each partner aligns their objectives,

strategies, and processes with the overall goals of the supply chain network1. Vision statement

means that each partner shares a common vision of the desired future state of the supply chain and

how to achieve it1.

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

According to the CTSC Exam Content Manual, one of the areas that leadership should focus on while

developing a roadmap for supply chain transformation is customers, talent, and risks1. Customers

are the ultimate source of value and demand for the supply chain, and understanding their needs

and expectations is essential for designing a customer-centric supply chain strategy1. Talent is the

human capital that drives the supply chain performance and innovation, and developing the skills

and capabilities of the workforce is critical for enabling a successful supply chain transformation1.

Risks are the potential threats and uncertainties that can disrupt or damage the supply chain, and

identifying, assessing, and mitigating them is vital for ensuring the resilience and sustainability of the

supply chain1. The other options are not the most pertinent areas for leadership to focus on while

developing a roadmap for supply chain transformation, as they are more operational or tactical

aspects of the supply chain, not strategic or transformational. Suppliers, inventory, and payment

terms are examples of the sourcing process elements that affect the cost, quality, and availability of

the supply chain inputs2. Warehouses, carrier relationships, and technology are examples of the

delivery process elements that affect the efficiency, responsiveness, and reliability of the supply

chain outputs2. Data centers and web portal are examples of the information technology

infrastructure that supports the supply chain integration and visibility3.

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According to the CTSC Exam Content Manual1, the Measure phase of the Six Sigma DMAIC

methodology involves collecting data on current performance and issues. The Measure phase aims

to establish a baseline for the process and quantify the gap between the current state and the

desired state. The Measure phase also involves validating the measurement system, defining the

process metrics, and calculating the process capability and sigma level. Option A, Control, is the

phase that involves implementing and sustaining the improvements. Option B, Improve, is the phase

that involves identifying and testing the solutions. Option C, Analyze, is the phase that involves

analyzing the data and identifying the root causes.