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Quality inspection scheduling for multi-unit service enterprises

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  • Carter, Arthur E.
  • Ragsdale, Cliff T.

Abstract

The traveling salesman problem is a classic NP-hard problem used to model many production and scheduling problems. The problem becomes even more difficult when additional salesmen are added to create a multiple traveling salesman problem (MTSP). We consider a variation of this problem where one salesman visits a given set of cities in a series of short trips. This variation is faced by numerous franchise companies that use quality control inspectors to ensure properties are maintaining acceptable facility and service levels. We model an actual franchised hotel chain using traveling quality inspectors to demonstrate the technique. The model is solved using a commercially available genetic algorithm (GA) tool as well as a custom GA program. The custom GA is proven to be an effective method of solving the proposed model.

Suggested Citation

  • Carter, Arthur E. & Ragsdale, Cliff T., 2009. "Quality inspection scheduling for multi-unit service enterprises," European Journal of Operational Research, Elsevier, vol. 194(1), pages 114-126, April.
    • Handle: RePEc:eee:ejores:v:194:y:2009:i:1:p:114-126
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    References listed on IDEAS

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    1. Malmborg, Charles J., 1996. "A genetic algorithm for service level based vehicle scheduling," European Journal of Operational Research, Elsevier, vol. 93(1), pages 121-134, August.
    2. Carter, Arthur E. & Ragsdale, Cliff T., 2006. "A new approach to solving the multiple traveling salesperson problem using genetic algorithms," European Journal of Operational Research, Elsevier, vol. 175(1), pages 246-257, November.
    3. Liaw, Ching-Fang, 2000. "A hybrid genetic algorithm for the open shop scheduling problem," European Journal of Operational Research, Elsevier, vol. 124(1), pages 28-42, July.
    4. Chatterjee, Sangit & Carrera, Cecilia & Lynch, Lucy A., 1996. "Genetic algorithms and traveling salesman problems," European Journal of Operational Research, Elsevier, vol. 93(3), pages 490-510, September.
    5. Moon, Chiung & Kim, Jongsoo & Choi, Gyunghyun & Seo, Yoonho, 2002. "An efficient genetic algorithm for the traveling salesman problem with precedence constraints," European Journal of Operational Research, Elsevier, vol. 140(3), pages 606-617, August.
    6. Schmitt, Lawrence J. & Amini, Mohammad M., 1998. "Performance characteristics of alternative genetic algorithmic approaches to the traveling salesman problem using path representation: An empirical study," European Journal of Operational Research, Elsevier, vol. 108(3), pages 551-570, August.
    7. Park, Yang-Byung, 2001. "A hybrid genetic algorithm for the vehicle scheduling problem with due times and time deadlines," International Journal of Production Economics, Elsevier, vol. 73(2), pages 175-188, September.
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