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U sing data from the U.S. bicycle industry, we examine the relation among product variety, supply chain structure, and firm performance. Variety imposes two types of costs on a supply chain: production costs and market mediation costs. Production costs include, among other costs, the incremental fixed investments associated with providing additional product(More)
Much recent attention in industrial practice has been centered on the question of which activities a manufacturing firm should complete for itself and for which it should rely on outside suppliers. This issue, generally labeled the " make-buy " decision, has received substantial theoretical and empirical attention. In this paper we broaden the scope of the(More)
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(More)
Cannondale, a producer of premium mountain bikes, offers 22 models ranging in price from $500 to $3000. VooDoo, a competitor, offers 672. Each mountain bike from National is offered in 104 different colors. A bike from Specialized is offered in only one. Why are the variety practices of these four companies so different? Given differences in their product(More)
Several Major Steps: • Define project and its planning • Identify customers (users) and their needs • Evaluate existing similar products (benchmarking) • Generate engineering specifications & target values • Perform conceptual design (Functional Modeling Approach) • Perform concept evaluations • Develop product/prototype • Evaluate product for performance(More)
Many design tasks involve selection from a set of configurations followed by parametric optimization of the chosen configuration. The models used for these tasks tend to be large, non-linear and involve both discrete and continuous variables. It is rarely possible to use any single formal algorithm to solve these problems and as a result there are very few(More)
A primary source of difficulty in automated assembly is the uncertainty in the relative position of the parts being assembled. This thesis focuses on a machine learning approach embedded in a logic branching structure to accomodate this uncertainty in peg and hole assemblies. Force sensor information, responses to recent moves, and results from previous(More)