Special Section: Closed-Loop Supply Chains: Practice and Potential: Reconfiguring a Remanufacturing Line at Visteon, Mexico

Visteon's remanufacturing facility in Lamosa, Mexico was plagued with heavy fluctuations of supply and demand, leading to periods of severe capacity shortage. Management asked us to assess options for improving capacity. We developed a simulation-based line-configuration model that simultaneously considers line balancing and line length (number of production stations) to maximize the remanufacturing system's effective throughput. We computationally analyzed the effect of processing-time variability on line-reconfiguration decisions, the effect of correlated task-processing times on throughput, and the marginal benefits of using dynamic line balancing. Based on the data we collected, we made recommendations for reconfiguring Visteon's remanufacturing line. Management successfully implemented these changes, increased asset utilization, and reduced its planned new investments in capital equipment.

[1]  Leonid A. Bunimovich,et al.  Dynamics of Two- and Three-Worker "Bucket Brigade" Production Lines , 1999, Oper. Res..

[2]  L. Wein,et al.  Inventory Management of Remanufacturable Products , 2000 .

[3]  John A. Buzacott,et al.  Stochastic models of manufacturing systems , 1993 .

[4]  Kut C. So Optimal buffer allocation strategy for minimizing work-in-process inventory in unpaced production lines , 1997 .

[5]  Eginhard J. MUTHf,et al.  The throughput rate of three-station production lines: a unifying solution , 1987 .

[6]  E. Muth The production rate of a series of work stations with variable service times , 1973 .

[7]  John O. McClain,et al.  Self-buffering, self-balancing, self-flushing production lines , 1996 .

[8]  Tayfur Altiok,et al.  Buffer capacity allocation for a desired throughput in production lines , 1998 .

[9]  V. Guide Production planning and control for remanufacturing: industry practice and research needs , 2000 .

[10]  Geraldo Ferrer Yield information and supplier responsiveness in remanufacturing operations , 2003, Eur. J. Oper. Res..

[11]  Edward P. C. Kao A Preference Order Dynamic Program for Stochastic Assembly Line Balancing , 1976 .

[12]  Rommert Dekker,et al.  Inventory Control in Hybrid Systems with Remanufacturing , 1999 .

[13]  T. Speh,et al.  Remarketing: Commercialization of Remanufacturing Technology , 1991 .

[14]  Robert L. Carraway,et al.  A dynamic programming approach to stochastic assembly line balancing , 1989 .

[15]  John L. Burbidge,et al.  Production planning and control: A personal philosophy , 1985 .

[16]  Erwin van der Laan,et al.  Quantitative models for reverse logistics: A review , 1997 .

[17]  Simme Douwe Flapper,et al.  Product recovery in stochastic remanufacturing systems with multiple reuse options , 2001, Eur. J. Oper. Res..

[18]  Richard B. Chase,et al.  Strategic Considerations in Assembly-Line Selection , 1975 .

[19]  Suresh Chand,et al.  A Comparison of U-Line and Straight-Line Performances Under Stochastic Task Times , 2001, Manuf. Serv. Oper. Manag..

[20]  William L. Maxwell,et al.  The Role of Work-in-Process Inventory in Serial Production Lines , 1988, Oper. Res..