CTP is suitable for engineer-to-order or make-to-order environments where production and procurement are triggered only upon receipt of a customer order. In contrast, ATP is ideal for environments with finished goods in stock. Specialty chemicals often require unique formulations and packaging, thus CTP helps assess material and capacity availability before committing.
"CTP applies where product is not inventoried, such as in make-to-order or engineer-to-order environments...
CTP checks material, capacity, and lead times to confirm if delivery can be promised."
- Source: CPIM Master Planning of Resources (MPR) module; APICS Dictionary

A house of quality (HOQ) chart is a product planning matrix that is used to show how customer requirements relate directly to the ways and methods companies can use to achieve those requirements. HOQ charts are part of the quality function deployment (QFD) method, which helps to ensure quality in product development and service delivery. HOQ charts use a design that resembles the outline of a house, with different sections representing different aspects of the product or service1. One of the functions that a HOQ chart aligns is competitive analysis with product design. Competitive analysis is the process of evaluating the strengths and weaknesses of the competitors in the market, and identifying the opportunities and threats they pose to the company. Product design is the process of creating the features, functions, and specifications of the product or service that meet the customer needs and expectations. A HOQ chart aligns these two functions by comparing the company's product design with the competitors' product design, and showing how well the company's product design satisfies the customer requirements. This helps the company to identify the areas of improvement, differentiation, and innovation in the product design, and to create a competitive advantage in the market23. Reference: 1 House of Quality Tutorial - How to Fill Out a House of Quality | ASQ 4 2 House of quality | Explanation with example - IONOS 5 3 CPIM Exam Reference - Association for Supply Chain Management 1

The economic order quantity (EOQ) model is a formula that calculates the optimal order quantity that minimizes the total inventory costs, such as ordering costs and holding costs. The EOQ model is based on several assumptions, one of which is that the order preparation costs and inventory-carrying costs are constant and known. This means that the costs of placing and receiving an order, and the costs of storing and maintaining the inventory, do not change with the order quantity or the inventory level, and that they can be estimated accurately12.
The other options are not correct because:
*A. Customer demand is known but seasonal. This is not an assumption of the EOQ model, but rather a violation of it. The EOQ model assumes that the customer demand is constant and known, and that the orders are placed at regular intervals. However, if the customer demand is seasonal, it means that it varies over time and may not be predictable. This can affect the accuracy and applicability of the EOQ model, as the optimal order quantity may change with the demand pattern12.
*B. Items are purchased and/or produced continuously and not in batches. This is not an assumption of the EOQ model, but rather a contradiction of it. The EOQ model assumes that the items are purchased and/or produced in batches, and that the inventory level decreases gradually until it reaches zero, at which point a new order is placed and received. However, if the items are purchased and/or produced continuously, it means that there is no need to place orders or maintain inventory, and the EOQ model becomes irrelevant12.
*D. Holding costs, as a percentage of the unit cost, are variable. This is not an assumption of the EOQ model, but rather a complication of it. The EOQ model assumes that the holding costs, as a percentage of the unit cost, are constant and known. This means that the cost of storing and maintaining one unit of inventory does not depend on the unit cost of the item, and that it can be estimated accurately. However, if the holding costs, as a percentage of the unit cost, are variable, it means that the cost of storing and maintaining one unit of inventory changes with the unit cost of the item, and that it may not be easy to estimate. This can affect the accuracy and applicability of the EOQ model, as the optimal order quantity may depend on the unit cost of the item12.
References := 1 Economic Order Quantity Model in Inventory Management - Investopedia1 2 Economic Order Quantity: What Does It Mean and Who Is It Important For? - Investopedia2

Available-to-promise (ATP) is the uncommitted portion of a company's inventory and planned production maintained in the master schedule to support customer-order promising. ATP is calculated by subtracting the customer orders and forecast from the projected on-hand inventory. The projected on-hand inventory is calculated by adding the beginning inventory and the master production schedule (MPS) and subtracting the customer orders.The largest customer order that could be accepted for delivery at the end of week 3 without making changes to the MPS is the ATP at the end of week 3. To calculate the ATP, we need to fill in the projected on-hand inventory for each week using the given information:
Table
Week
Forecast
Customer Orders
MPS
Projected On-Hand Inventory
ATP
1
20
22
0
43 + 0 - 22 = 21
21 - 20 = 1
2
20
17
0
21 + 0 - 17 = 4
4 - 20 = -16
3
20
10
80
4 + 80 - 10 = 74
74 - 20 = 54
The ATP at the end of week 3 is 54, which means that the company can promise 54 units of inventory to customers without changing the MPS. However, the question asks for the largest customer order that could be accepted, which means that we need to consider the existing customer orders as well. The customer orders for week 3 are 10, which means that the company has already committed 10 units of inventory to customers.
Therefore, the largest customer order that could be accepted for delivery at the end of week 3 is 54 + 10 = 64 units. However, this is not one of the options given in the question. The closest option that is less than or equal to 64 is 61, which is option C12 References: 1: CPIM Part 1 - Section A - Module 1 - Session 4 - Master Scheduling 2: CPIM Part 1 - Section A - Module 1 - Session 5 - Available to Promise