Cost Analysis Of Electronic Systems (Second Edition)

Peter Sandborn

• Publisher: WSPC
• Year: 2016
• eBook ISBN: 9789813148277
• Edition: 2
• Topic: Technologie et ingénierie
• Subtopic: Production

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This book provides an introduction to the cost modeling for electronic systems that is suitable for advanced undergraduate and graduate students in electrical, mechanical and industrial engineering, and professionals involved with electronics technology development and management. This book melds elements of traditional engineering economics with manufacturing process and life-cycle cost management concepts to form a practical foundation for predicting the cost of electronic products and systems. Various manufacturing cost analysis methods are addressed including: process-flow, parametric, cost of ownership, and activity based costing. The effects of learning curves, data uncertainty, test and rework processes, and defects are considered. Aspects of system sustainment and life-cycle cost modeling including reliability (warranty, burn-in), maintenance (sparing and availability), and obsolescence are treated. Finally, total cost of ownership of systems, return on investment, cost-benefit analysis, and real options analysis are addressed.

--> Contents:

• • Introduction
• Manufacturing Cost Modeling:
  • Process-Flow Analysis
  • Yield
  • Equipment/Facilities Cost of Ownership (COO)
  • Activity-Based Costing (ABC)
  • Parametric Cost Modeling
  • Test Economics
  • Diagnosis and Rework
  • Uncertainty Modeling — Monte Carlo Analysis
  • Learning Curves
• Life-Cycle Cost Modeling:
  • Reliability
  • Sparing
  • Warranty Cost Analysis
  • Burn-In Cost Modeling
  • Availability
  • The Cost Ramifications of Obsolescence
  • Return on Investment (ROI)
  • The Cost of Service
  • Software Development and Support Costs
  • Total Cost of Ownership Examples
  • Cost Benefit and Risk Tradeoffs
  • Real Options Analysis
• Appendices:
  • Notation
  • Weighted Average Cost of Capital (WACC)
  • Discrete-Event Simulation (DES)

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--> Readership: Graduate students and professionals in electrical and electronic engineering, mechanical engineering and industrial engineering. -->
Cost;Life-Cycle Cost;Through-Life Costing;Manufacturing;Sustainment;Electronics;Modeling;Return on Investment Key Features:

• Engineering economics treats the analysis of the economic effects of engineering decisions and is often identified with capital allocation problems

Chapter 1

Introduction

Why analyze costs? Cost is an integral part of planning and managing systems. Unlike other system properties, such as performance, functionality, size, and environmental footprint, cost is always important, always must be understood, and never becomes dated in the eyes of management. As pressure increases to bring products to market faster and to lower overall costs, the earlier an organization can understand the cost of manufacturing and support, the better. All too often, managers lack critical cost information with which to make informed decisions about whether to proceed with a product, how to support a product, or even how much to charge for a product.

Cost often represents the “golden metric” or benchmark for analyzing and comparing products and systems. Cost, if computed comprehensively enough, can combine multiple manufacturability, quality, availability, and timing attributes together into a single measure that everyone comprehends.

1.1Cost Modeling

Cost modeling is one of the most common business activities performed in an organization. But what is cost modeling, or maybe more importantly, what isn’t it? The goal of cost modeling is to enable the estimation of product or system life-cycle costs. Cost analyses generally take one of two forms:

•Ex post facto (after the event) – Cost is often computed after expenditures have been made. Accounting represents the use of cost as an objective measure for recording and assessing the financial performance of an organization and deals with what either has been done or what is currently being done within an organization, not what will be done in the future. The accountant’s cost is a financial snapshot of the organization at one particular moment in time.

•A priori (prior to) – These cost estimations are made before manufacturing, operation and support activities take place.

Cost modeling is an a priori analysis. It is the imposition of structure, incorporation of knowledge, and inclusion of technology in order to map the description of a product (geometry, materials, design rules, and architecture), conditions for its manufacture (processes, resources, etc.), and conditions for its use (usage environment, lifetime expectation, training and support requirements) into a forecast of the required monetary expenditures. Note, this definition does not specify from whom the monetary resources will be required — that is, they may be required from the manufacturer, the customer, or a combination of both.

Engineering economics treats the analysis of the economic effects of engineering decisions and is often identified with capital allocation problems. Engineering economics provides a rigorous methodology for comparing investment or disinvestment alternatives that include the time value of money, equivalence, present and future value, rate of return, depreciation, break-even analysis, cash flow, inflation, taxes, and so forth. While it would be wrong to say that this book is not an engineering economics book (it is), its focus is on the detailed cost modeling necessary to support engineering economic analyses with the inputs required for making investment decisions. However, while traditional engineering economics is focused on the financial aspects of cost, cost modeling deals with modeling the processes and activities associated with the manufacturing and support of products and systems, i.e., determining the actual costs that engineering economics uses within its cash flow oriented decision making processes.

Unfortunately, it is news to many engineers that the cost of products is not simply the sum of the costs of the bill of materials. An undergraduate mechanical engineering student at the University of Maryland, in his final report from a design class, stated: “The sum total cost to produce each accessory is 0.34+0.29+0.56+0.65+0.10+0.17 = $2.11 [the bill of materials cost]. Since some estimations had to be made, $2.00 will arbitrarily be added to the cost of [the] product to help cover costs not accounted for. This number is arbitrary only in the sense that it was chosen at random.” Unfortunately, analyses like this are only too prevalent in the engineering community and traditional engineering economics texts don’t necessarily provide the tools to remedy this problem.

Cost modeling is needed because the decisions made early in the design process for a product or system often effectively commit a significant portion of the future cost of a product. Figure 1.1 shows a representation of the product manufacturing cost commitment associated with various product development processes. Even though it is not represented in Figure 1.1, the majority of the product’s life-cycle cost is also committed via decisions made early in the design process.

Fig. 1.1. 80% of the manufacturing cost and performance of a product is committed in the first 20% of the design cycle, [Ref. 1.1].

Cost modeling, like any other modeling activity, is fraught with weaknesses. A well-known quote from George Box, “Essentially, all models are wrong, but some are useful,” [Ref. 1.2] is appropriate for describing cost modeling. First, cost modeling is a “garbage in, garbage out” activity — if the input data is inaccurate, the values predicted by the model will be inaccurate. That said, cost modeling is generally combined with various uncertainty analysis techniques that allow inputs to be expressed as ranges and distributions rather than point values (see Chapter 9). Obtaining absolute accuracy from cost models depends on having some sort of real-world data to use for calibration. To this end, the essence of cost modeling is summed up by the following observation from Norm Augustine [Ref. 1.3]:

“Much cost estimation seems to use an approach descended from the technique widely used to weigh hogs in Texas. It is alleged that in this process, after catching the hog and tying it to one end of a teeter-totter arrangement, everyone searches for a stone which, when placed on the other end of the apparatus, exactly balances the weight of the hog. When such a stone is eventually found, everyone gathers around and tries to guess the weight of the stone. Such is the science of cost estimating.”

Nonetheless, when absolute accuracy is impossible, relatively accurate costs models can often be very useful.¹

1.2The Product Life Cycle

Figure 1.2 provides a high-level summary of a product’s life cycle. Note that not all the steps that appear in Figure 1.2 will be relevant for every type of electronic product and that more detail can certainly be added. Product life cycles for electronic systems vary widely and the treatment in this section is intended to be only an example.

Fig. 1.2. Example product/system life cycle.

In the process shown, a specific customer provides the requirements or a marketing organization determines the requirements through interactions in the marketplace with customers and competitors. Conceptual design encompasses selection of system architecture, possibly technologies, and potentially key parts.

Specifications are engineering’s response to requirements and results in a bid that goes to the customer or to the marketing organization. The bid is a cost estimation against the specifications. Design represents all the activities necessary to perform the detailed design and prototyping of the product. Verification and qualification activities determine if the design fulfills the specifications and requirements. Qualification occurs at the functional and environmental (reliability) levels, and may also include certification activities that are necessary to sell or deliver the product to the customer. Production is the manufacturing process and includes sourcing the parts, assembly, and recurring functional testing. Operation and support (O&S) represents the use and sustainment of the product or system. O&S represents recurring use — for example, power, water, or fuel — as well as maintenance, servicing the warranty, training and support for users, and liability. Sales and marketing occur concurrent with production and operation and support. Finally, end of life represents activities needed to terminate the use of the product or system, including possible disassembly and/or disposal.

A common thread through the activities in the life cycle of a product or system is that they all cost money. The product requirements are of particular interest since they ultimately determine the majority of the cost of a product or system and also represent the primary and initial inputs for cost modeling. The requirements will, of course, be refined throughout the design process, but they are the inputs for the initial cost estimation. Figure 1.3 shows the elements that go into the product requirements.

Fig. 1.3. Product/system requirements, [Ref. 1.4].

1.3Life-Cycle Cost Scope

The factors that influence cost analysis are shown in Figure 1.4. For low-cost, high-volume products, the manufacturer of the product seeks to maximize the profit by minimizing its cost. For a high-volume consumer electronics product (e.g., a cell phone), the cost may be dominated by the bill of materials cost. However, for some products, a more important customer requirement for the product may be minimizing the total cost of ownership of the product. The total cost of ownership includes not only the cost of purchasing the product, but the cost of maintaining and using it, which for some products can be signi...

Table of contents

• Cover Page
• Series
• Title
• Copyright
• Preface to the Second Edition
• Preface to the First Edition
• Contents
• Chapter 1 Introduction
• Part I Manufacturing Cost Modeling
• Chapter 2 Process-Flow Analysis
• Chapter 3 Yield
• Chapter 4 Equipment/Facilities Cost of Ownership (COO)
• Chapter 5 Activity-Based Costing (ABC)
• Chapter 6 Parametric Cost Modeling
• Chapter 7 Test Economics
• Chapter 8 Diagnosis and Rework
• Chapter 9 Uncertainty Modeling — Monte Carlo Analysis
• Chapter 10 Learning Curves
• Part II Life-Cycle Cost Modeling
• Chapter 11 Reliability
• Chapter 12 Sparing
• Chapter 13 Warranty Cost Analysis
• Chapter 14 Burn-In Cost Modeling
• Chapter 15 Availability
• Chapter 16 The Cost Ramifications of Obsolescence
• Chapter 17 Return on Investment (ROI)
• Chapter 18 The Cost of Service
• Chapter 19 Software Development and Support Costs
• Chapter 20 Total Cost of Ownership Examples
• Chapter 21 Cost, Benefit and Risk Tradeoffs
• Chapter 22 Real Options Analysis
• Appendix A Notation
• Appendix B Weighted Average Cost of Capital (WACC)
• Appendix C Discrete-Event Simulation (DES)
• Index