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Fewer Equipment Changeovers for the Embroidery Process at Oxford Industries

Author

Listed:
  • Melissa R. Bowers

    (College of Business Administration, The University of Tennessee, Knoxville, Tennessee 37996)

  • Anurag Agarwal

    (Transportation Center, The University of Tennessee, Knoxville, Tennessee 37932)

Abstract

Oxford Industries, Inc., a leading US apparel manufacturer, implemented a scheduling algorithm that significantly reduced equipment changeovers in its in-house embroidery facility. The company was experiencing difficulties meeting due dates in one of its more profitable, new markets---branded custom-embroidered golfwear. The time Oxford was spending on equipment changeovers was leaving insufficient processing time to meet a surge in demand in this new market. We identified an opportunity for increased production capacity through more efficient scheduling of sequence-dependent changeovers among garments. During the period that we studied, the use of the scheduling algorithm reduced the number of changeovers by an average of 88 percent per order.

Suggested Citation

  • Melissa R. Bowers & Anurag Agarwal, 2007. "Fewer Equipment Changeovers for the Embroidery Process at Oxford Industries," Interfaces, INFORMS, vol. 37(6), pages 526-538, December.
    • Handle: RePEc:inm:orinte:v:37:y:2007:i:6:p:526-538
    DOI: 10.1287/inte.1070.0320
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    References listed on IDEAS

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    1. Allahverdi, Ali & Gupta, Jatinder N. D. & Aldowaisan, Tariq, 1999. "A review of scheduling research involving setup considerations," Omega, Elsevier, vol. 27(2), pages 219-239, April.
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    3. Lee, Sang M. & Asllani, Arben A., 2004. "Job scheduling with dual criteria and sequence-dependent setups: mathematical versus genetic programming," Omega, Elsevier, vol. 32(2), pages 145-153, April.
    Full references (including those not matched with items on IDEAS)

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