Impact of partial manufacturing flexibility on production variability

Impact of partial manufacturing flexibility on production variability

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Article ID: iaor20083686
Country: United States
Volume: 8
Issue: 2
Start Page Number: 192
End Page Number: 205
Publication Date: Mar 2006
Journal: Manufacturing & Service Operations Management
Authors: , ,
Abstract:

As manufacturers in various industries evolve toward predominantly make-to-order production to better serve their customers' needs, increasing product mix flexibility emerges as a necessary strategy to provide adequate market responsiveness. However, the implications of increased flexibility on overall system performance are widely unknown. We develop analytical models and an optimization-based simulation tool to study the impact of increasing flexibility on shortages, production variability, component inventories, and order variability induced at upstream suppliers in general multiplant multiproduct make-to-order manufacturing systems. Our results show that 1. Partial flexibility leads to a considerable increase in production variability, and consequently in higher component inventory levels and upstream order variability. Although a modest increase in flexibility yields most of the sales benefits, production variability is reduced as more flexibility is added to the system. Consequently, investments in additional flexibility may be justified when component inventories are expensive, or simply by the benefits associated with the smoother production. 2. The performance of flexible systems is highly dependent on the capacity allocation policies implemented. Policies that evenly distribute product demands to the available plants lead to consistently better performance because they avoid the misplacement of inventories by replicating the performance of a single-plant system. These insights and the simulation tool can be used by practitioners to guide the design of their flexible production systems, trading off the initial capital outlay versus the sales benefits and the expected operational costs.

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