An improved FPTAS for maximizing the weighted number of just-in-time jobs in a two-machine flow shop problem

  • Authors:
  • Amir Elalouf;Eugene Levner;Huajun Tang

  • Affiliations:
  • Bar Ilan University, Ramat Gan, Israel;Ashkelon Academic College, Ashkelon, Israel;Macau University of Science and Technology, Macau, China

  • Venue:
  • Journal of Scheduling
  • Year:
  • 2013

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Abstract

Recently, Shabtay and Bensoussan (2012) developed an original exact pseudo-polynomial algorithm and an efficient $$\upvarepsilon $$ -approximation algorithm (FPTAS) for maximizing the weighted number of just-in-time jobs in a two-machine flow shop problem. The complexity of the FPTAS is $$O$$ (( $$n^{4}/\upvarepsilon $$ )log( $$n$$ / $$\upvarepsilon $$ )), where $$n$$ is the number of jobs. In this note we suggest another pseudo-polynomial algorithm that can be converted to a new FPTAS which improves Shabtay---Bensoussan's complexity result and runs in $$O(n^{3}/\upvarepsilon )$$ time.