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A bicriteria parallel machine scheduling with a learning effect

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Abstract

Conventionally, job processing times are assumed to be constant from the first job to be processed until the last job to be completed. However, recent empirical studies in several industries have verified that unit costs decline as firms produce more of a product and gain knowledge or experience. This phenomenon is known as the “learning effect.” In this paper a bicriteria m-identical parallel machine scheduling problem with a learning effect is considered. The objective function of the problem is to find a sequence that minimizes a weighted sum of total completion time and total tardiness. Total completion time and total tardiness are widely used performance measures in scheduling literature. To solve this scheduling problem, a mathematical programming model is formulated.

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Authors and Affiliations

  1. Department of Industrial Engineering, Faculty of Engineering, Kırıkkale University, 71451, Kırıkkale, Turkey

    Tamer Eren

  2. Department of Industrial Engineering, Faculty of Engineering and Architecture, Gazi University, 06570, Maltepe, Ankara, Turkey

    Ertan Güner

Authors
  1. Tamer Eren
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  2. Ertan Güner
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Correspondence to Tamer Eren.

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Eren, T., Güner, E. A bicriteria parallel machine scheduling with a learning effect. Int J Adv Manuf Technol 40, 1202–1205 (2009). https://doi.org/10.1007/s00170-008-1436-2

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  • DOI: https://doi.org/10.1007/s00170-008-1436-2

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