Date of Completion

4-22-2024

Degree Type

Honors Thesis - Campus Access

Discipline

Applied Information Mgmt Sys (AIMS)

First Advisor

Gregory Lontok

Abstract

Supply chain optimization is a multifaceted challenge, particularly when addressing the complexities of geographical and logistical constraints in manufacturing and distribution networks. In this study, L'ANZA's Contract Manufacturing Organization (CMO) relocation to Indiana is analyzed, aiming to streamline operations by reducing lead times and transportation costs. Given that operational structures can be characterized through various analytical approaches, the method by which data is aggregated and evaluated significantly influences the strategic decisions made. To circumvent potential discrepancies in decision-making, this research employs both conventional business analysis methods and advanced supply chain optimization models. This study involves a comparative evaluation of potential CMOs using both descriptive analysis and systematic ranking to determine the optimal partner for L'ANZA. The descriptive analysis elucidates the practicality of various logistical configurations, while the systematic ranking facilitates a comprehensive understanding of each CMO's alignment with L'ANZA's strategic objectives. This dual approach not only supports L'ANZA in making informed operational decisions but also offers a framework for similar enterprises facing geographical and logistical challenges in their supply chains.

Download

Share

COinS