Engineering Design - Book Report/Review Example

Systems’ increasing “complexity” especially in the today’s technology-driven economy normally comes from the heightened demands for high quality, low expenditure, effective and quick delivery coupled with continuous sustainability (Stephen & Nam-Pyo-Pyo 1). Besides, complex products and processes, which normally require difficult or expensive design procedures, have also yielded to more complexity. This is because; some products especially those, which entail recycling methods cannot rely on their original processes, hence require extra complicated equipments that will handle materials from the used products.

Additionally, complexity can fall into two categories depending on their nature, which comprise both physical and functional domain. Physical domain mostly encompasses an expert or designer who normally utilizes the attained know how to come up with new equipment meant to undertake certain or already determined roles. Mainly, the experts attributed with physical domain include the mathematicians or physicist who argued that physical things are inherently more complex. Conversely, the functional domain partially supports the physical domain, but it contends that complexity is a measure of uncertainty experienced in attaining a certain targets (CNs) mainly defined by Functional Requirements (FRs).

Primarily, this regards task, which certain design has to attain towards satisfying the customer Needs (CNs), where it acts as a relative concept regarding “what the designer needs to achieve” besides evaluating “what is attainable” (Nam-Pyo 2). Additionally, the multiplicity of numerous and varied interconnected equipments does not qualify or imply a system is complex. This is because the complexity of a technical system normally relies on certain forms of interrelationships, which constitutes the entire equipment, but not its size or various comprising components.

In addition, the entire literature normally discusses the complexity theory based on axiomatic design whose main target is to simplify complex systems. Complexity theory based on axiomatic design entails reducing systems’ uncertainty via sound and effective design procedures. Mainly, this entails reducing or eliminating the facet of combinatorial complexity through introducing functional periodicity. Through utilizing functional periodicity, a designer can reduce complexity evident in systems and increase their long-term stability, which guarantees effective operation and decreased operational expenses.

The intention of sustainable growth especially in the present industrial world, it is certain that designers and other similar professionals ought to have adequate expertise about managing and understanding complex technical systems. This will give designers an added advantage in developing new, less complex and effective technical systems that will cater for human needs with minimal squanders. In addition, better understanding of systems’ complexity besides aiding in designing of the new components normally aids in improving the already existing and old engineering systems.

Consequently, aiding in maintaining their operations stay within the necessary ranges coupled with maintaining their stability all through without adverse malfunctions that may emanate from acquired complexity or wearing of contacting surfaces. Besides, the knowledge of