Operations, Information and Decisions Papers

Document Type

Journal Article

Date of this Version

4-2001

Publication Source

Management Science

Volume

45

Issue

5

Start Page

663

Last Page

678

DOI

10.1287/mnsc.47.5.663.10480

Abstract

An important managerial problem in product design in the extent to which testing activities are carried out in parallel or in series. Parallel testing has the advantage of proceeding more rapidly than serial testing but does not take advantage of the potential for learning between tests, thus resulting in a larger number of tests. We model this trade-off in the form of a dynamic program and derive the optimal testing strategy (or mix of parallel and serial testing) that minimizes both the total cost and time of testing. We derive the optimal testing strategy as a function of testing cost, prior knowledge, and testing lead time. Using information theory to measure the test efficiency, we further show that in the case of imperfect testing (due to noise or simulated test conditions), the attractiveness of parallel strategies decreases. Finally, we analyze the relationship between testing strategies and the structure of design hierarchy. We show that a key benefit of modular product architecture lies in the reduction of testing cost.

Keywords

testing prototyping, learning, optimal search, modularity

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Date Posted: 27 November 2017

This document has been peer reviewed.