Special Issue on Production Scheduling at the Open Pit Mining

Submission Deadline: Mar. 10, 2020

This special issue currently is open for paper submission and guest editor application.

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Special Issue Flyer (PDF)

  • Special Issue Editor
    • Ehsan Moosavi
      Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to fulfill the Guest Editor application.
  • Introduction

    The production scheduling is a decision making process that plays an important role in the open pit mine operation. One of the most difficult problems in the area of production scheduling is the long-term production scheduling (LTPS). It is well known that this problem is complicated and large scale. The classical LTPS consists of scheduling a set of blocks on a set of push-backs with the objective to minimize/maximize a certain criterion, subjected to the constraint that each block has a specific processing order through cut-off grades, which are variable and known in advance. The flexible long-term production scheduling (FLTPS) problem is an extension of the classical LTPS that allows an operation to be processed on any block from a given set of alternative destinations. FLTPS is more complex than classical LTPS because of the additional need to determine the assignment of blocks for each destination. Later 90’s many researchers addressed long-term production scheduling (LTPS) by using simulated annealing, genetic algorithm, taboo search algorithm and ant colony algorithm. Known as meta-heuristic algorithms were proved most efficient algorithms to solve LTPS so far. In recent years, with the need of optimization problems in reality, all kinds of bioinspired optimization algorithms or swarm intelligence optimization algorithms have been proposed, such as the genetic algorithm (GA), ant colony optimization (ACO), particle swarm optimization (PSO), simulated annealing (SA), dynamic programming and artificial intelligence (AI).
    Aims and Scope:
    1. Production Scheduling
    2. Mathematical Modeling
    3. Open Pit Mines
    4. Optimization
    5. Meta-heuristic Algorithms
    6. Hybrid Algorithm

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ijmpem.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.

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