Managing Variety for Assembled Products: Modeling Component Systems Sharing

Loading...
Thumbnail Image
Penn collection
Management Papers
Degree type
Discipline
Subject
component systems sharing
managing variety
assembled products design
Business Administration, Management, and Operations
Business and Corporate Communications
Management Information Systems
Management Sciences and Quantitative Methods
Operations and Supply Chain Management
Technology and Innovation
Funder
Grant number
License
Copyright date
Distributor
Related resources
Author
Ramdas, Kamalini
Fisher, Marshall
Ulrich, Karl
Contributor
Abstract

Component sharing—using the same version of a component across multiple products—is an approach adopted by many assembled-product manufacturers to achieve high final product variety with lower component variety and cost. This paper presents a methodology for determining which versions of a set of related components should be offered to optimally support a defined finished product portfolio. We develop optimization models that determine which versions of each component should be introduced and which of these versions each product should use to minimize design and production costs. This approach is appropriate for components with a relatively low impact on consumers’ perceptions about product differentiation, which can be shared across a set of products if they meet the most stringent performance requirements in the set. We illustrate our procedure on automotive braking systems, but also discuss its applicability to other components and industries. We identify three conceptually different organizational approaches to component sharing: a coordinated projects approach that requires higher-level organizational echelons above the individual project, a project-by-project approach that does not, and a hybrid partially coordinated approach. We use our model to examine how the gain from the coordinated projects approach relative to the project-by-project approach varies with the number of component versions in consideration, warranty costs, complexity costs, and demand variability. Further, we use our model to highlight the risk of using simplistic heuristics to determine design sequence within a component system in a partially coordinated approach.

Advisor
Date Range for Data Collection (Start Date)
Date Range for Data Collection (End Date)
Digital Object Identifier
Series name and number
Publication date
2003-01-01
Journal title
Manufacturing & Service Operations Management
Volume number
Issue number
Publisher
Publisher DOI
Journal Issue
Comments
Recommended citation
Collection