On the multiresource flexible job-shop scheduling problem with arbitrary precedence graphs

This paper aims at linking the work presented in Dauzere-Peres et al. (1998) and more recently in Kasapidis et al. (2021) on the multiresource flexible job-shop scheduling problem with nonlinear routes or equivalently with arbitrary precedence graphs. In particular, we present a mixed integer linear programming (MIP) model and a constraint programming (CP) model to formulate the problem. We also compare the theorems introduced in Dauzere-Peres et al. (1998) and Kasapidis et al. (2021) and propose a new theorem extension. Computational experiments were conducted to assess the efficiency and effectiveness of all propositions. Lastly, the proposed MIP and CP models are tested on benchmark problems of the literature and comparisons are made with state-of-the-art algorithms.

Automated summary

This paper aims to connect the work presented in Dauzere-Peres et al. (1998) and more recently in Kasapidis et al. (2021) on the multiresource flexible job-shop scheduling problem with nonlinear routes or equivalently with arbitrary precedence graphs. The authors propose a mixed integer linear programming (MIP) model and a constraint programming (CP) model to formulate the problem. They compare the theorems introduced in Dauzere-Peres et al. (1998) and Kasapidis et al. (2021) and propose a new theorem extension. Computational experiments were conducted to assess the efficiency and effectiveness of all propositions. Lastly, the proposed MIP and CP models are tested on benchmark problems of the literature and comparisons are made with state-of-the-art algorithms.