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In: Computer Science

What are the five operations performance objectives? For each of them, what are the design objectives,...

What are the five operations performance objectives? For each of them, what are the design objectives, and the benefits of good design?

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Operational performance objectives are the areas of operational performance that a company tries to improve, in a bid to meet its corporate strategy. After defining its corporate strategy, a company will identify the relevant operational performance objectives to measure and configure the environment, to enable the objectives to be accomplished. According to Andy Neely, author of the book “Business Performance Measurement: Unifying Theory and Integrating Practice,” there are five main operational performance objectives: speed, quality, costs, flexibility, and dependability.

Five operations performance objectives are as given below-

The Objective of Speed

The objective of speed measures how fast a company can deliver its products and generates sales quotes. This objective will be concerned with such issues as the time that it takes to manufacture and process one or more products of the company or the time that it takes to research a new product and develop it.

Quality of a Product

Typically, quality is considered to measure how well a product conforms to certain specifications. However, it’s more than that, according to Andy Neely. It’s also how desirable the features of the product are; how reliable the product is; how durable it is; how easily it can be serviced; how well it performs its intended function; and, how much the customers believe in its value. All of these are relevant measures of quality.

Variation in Costs

This objective looks at how much variation there is in the unit cost of a product as measured by changes in a variety of factors, including the volume and the variety of the products. Products that feature a greater variety tend to sport lower volumes and higher unit costs and vice versa. Ultimately, this affects the price of the product, the costs of producing it, and the profits to be obtained from that product.

Flexibility in Operations

Flexible operations are operations that can configure the product lines to deal with various requirements and to also adjust these product lines quickly to new requirements. The latter is also closely related to the speed objective. A company should be able to produce different quality product varieties and also adapt its operations to suit different market conditions and delivery schedules.

Dependability of Operational Performance

This operational performance objective measures how dependable the company is when it comes to timely delivery of products to its customers, in accordance with planned prices and costs. The product’s ability to function in an intended way consistently over a reasonable period of time is also a measure of its dependability.

Design objectives are the functional and non-functional qualities of a design. These are often stated as goals for what a design is meant to achieve. Objectives serve to guide the design process and measure your results.

The time you invest in designing a sound database structure is time well spent. Good design saves you time in the long run because you do not have to constantly revamp a quickly and poorly designed structure. You gain the following benefits when you apply good design techniques:

  • The database structure is easy to modify and maintain. Modifications you make to a field or table will not adversely affect other fields or tables in the database.

  • The data is easy to modify. Changes you make to the value of a given field in a table will not adversely affect the values of other fields within the table. Furthermore, a well-designed database keeps duplicate fields to an absolute minimum, so you typically modify a particular data value in one field only.

  • Information is easy to retrieve. You'll be able to create queries easily because the tables are well constructed and the relationships between them are properly established.

  • End-user applications are easy to develop and build. You can spend more time on programming and addressing the data manipulation tasks at hand, instead of working around the inevitable problems that arise when you work with a poorly designed database.

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