To evaluate the statements provided, we need to delve into Statistical Quality Control (SQC) and the use of Operating Characteristic (OC) curves. Let's inspect each statement individually for their validity:

1. Statement - I: “\(\bar{X}\)-chart, np-chart and R-chart are the techniques used for product control under Statistical Quality Control.”

SQC is a method used for monitoring and controlling a process to ensure that it operates at its full potential. It primarily uses control charts like \(\bar{X}\)-chart, R-chart, and others to monitor product-related and process-related characteristics.

• \(\bar{X}\)-chart: Used for controlling the process mean.
• R-chart: Used for controlling process variability (range).
• np-chart: Used for controlling the number of defective items in a sample, which is under attribute control charts, not product control per se.

These charts are primarily used for process control, not specifically for product control, thus making Statement I inaccurate.

1. Statement - II: “Operating characteristic curve helps determine whether a particular acceptance sampling plan meets both the product's and the consumer's risk requirements.”

An Operating Characteristic (OC) curve is indeed a graphical representation in acceptance sampling used to show the probability of accepting a batch of goods given the proportion of defective items. This curve allows you to see how the sampling plan protects both the producer (i.e., the producer's risk of rejecting a good batch) and the consumer (i.e., the consumer's risk of accepting a bad batch).

Therefore, Statement II accurately describes the use of OC curves in quality control.

Given the analysis above, the correct assessment of the statements is:

• Statement - I is incorrect while Statement - II is correct.