Development of Scenario-Based Models for Optimal Test Scheduling Considering Retest and Outsourcing

Abstract

Many tests should be carried out before launching a new product. By reducing the testing schedule, companies may have the direct financial impact. The sooner the launch of the product is the more likely companies are to maximize the potential profit from them. Recently, some works have been proposed in the literature on minimizing the testing schedule. There is still room for improvement in terms of addressing more practical issues. Particularly, this paper is concerned with test scheduling considering retesting and outsourcing, in addition to parameter uncertainty. These issues are transformed into mathematical programming formulation using scenario based framework. In order to address resource limitations in this problem, the 'time slot' is introduced in the formulation. Numerical examples are presented to illustrate the applicability of the proposed methodology.