Document Type

Project

Publication Date

Winter 2022

Instructor

Tugrul Daim

Course Title

Decision Making

Course Number

ETM 530

Abstract

The impacts of the COVID-19 pandemic have been felt across various industries around the world, including the semiconductor industry. The semiconductor industry was boosted by pandemic restrictions as changing consumer habits—driven by the rise in remote work, distance learning, gaming, entertainment, and internet shopping—significantly increased demand for consumer electronic devices to the point that demand for semiconductors far outpaced production. Given the globality and complexity of the semiconductor supply chain, many companies are exploring ways to permanently change workplace collaboration for their employees. In this paper, the Hierarchical Decision Modeling (HDM) method is used to evaluate four possible pandemic semiconductor industry working models - Fully Remote, Hybrid, Fully Onsite & Satellite Workspaces. Experts from the industry evaluated the model to determine the most important criteria, sub-criteria and ultimately select the most desirable alternative. The results from the evaluation show that Hybrid option received the highest score. In this paper, we explore the motivation behind this study, the methodology behind the HDM model, the evaluation of the model, analysis and interpretation of the results, limitations of the study, scope for future research, and conclusions.

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