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A Case Study on Automotive Battery System Design - Title Page - MIT

A Case Study on Automotive Battery System Design - Title Page - MIT

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In a financial analysis, the engineering cost and unit cost of brakes will provide a substantialnegative NPV. With a black box view, a financial analyst might ask to remove thesecomp<strong>on</strong>ents due to lack of direct value to the customer. The engineering team will c<strong>on</strong>siderthem n<strong>on</strong>-negotiable for operati<strong>on</strong> of the “black box”, i.e. the automobile. Then they may agree<strong>on</strong> the lowest unit cost possible to meet performance. The traditi<strong>on</strong>al cost analysis is difficult toutilize and can potentially lead to wr<strong>on</strong>g answers, without stakeholder cooperati<strong>on</strong> (in this casethe c<strong>on</strong>sumer, the engineer, and the analyst).When designing real opti<strong>on</strong>s “in” a system, the comp<strong>on</strong>ents themselves often have value to theengineering team and not to the customer, creating an asymmetric resp<strong>on</strong>se from management.Justificati<strong>on</strong> of added cost for an opti<strong>on</strong> can <strong>on</strong>ly be d<strong>on</strong>e if engineering value can be tied tocustomer value. An example provided by de Neufville of a real opti<strong>on</strong> for a c<strong>on</strong>sumer “in” anautomobile is the spare tire. It is used if and when it is needed, but otherwise held in the trunk ofthe car and designed to be similar to the existing tire. The purchase of the spare tire is a realopti<strong>on</strong>, designed as insurance against a possible outcome. There is added cost (and time) for thec<strong>on</strong>sumer, but it’s designed to be used under the potential c<strong>on</strong>diti<strong>on</strong> of a tire failure(de Neufville,et al., 2004). The customer values this additi<strong>on</strong>al security and is willing to pay for it.An additi<strong>on</strong>al element of real opti<strong>on</strong>s “in” projects is path dependency. Decisi<strong>on</strong>s will be madeup<strong>on</strong> incoming data. In early stage development, with a great deal of uncertainty, a stagedinvestment plan can be a valuable flexibility. The Iridium satellite ph<strong>on</strong>e c<strong>on</strong>stellati<strong>on</strong> is atypical engineering-style project. The design of the system is a complex, but tractable,engineering optimizati<strong>on</strong>. However, there is a large uncertainty in total demand. Thedeployment time for the satellite system is l<strong>on</strong>g; multiple launches are required. Adopti<strong>on</strong> rate ofthe technology is highly uncertain and, in retrospect, it is clear that the emergence of a competing29

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