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Energy-efficient multi-objective flexible manufacturing scheduling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F21%3A10246395" target="_blank" >RIV/61989100:27510/21:10246395 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0959652620346540" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0959652620346540</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jclepro.2020.124610" target="_blank" >10.1016/j.jclepro.2020.124610</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Energy-efficient multi-objective flexible manufacturing scheduling

  • Original language description

    This paper presents a novel scheduling of a resource-constrained Flexible Manufacturing System (FMS) with consideration of the following sub-problems: (i) machine loading and unloading, (ii) manufacturing operation scheduling, (iii) machine assignment, and (iv) Automated Guided Vehicle (AGV) scheduling. In the proposed model, both the AGV and machinery are considered as the required resources. Energy efficiency of AGVs has been studied in order to improve environmental sustainability in terms of a linear function, which is based on load and distance, accordingly. Because of the NP-hard characteristics of the problem, a modified multi-objective particle swarm optimization (MMOPSO) has been developed for solving the model and compared with the classic version of the multi-objective particle swarm optimization (MOPSO) algorithm in terms of five performance metrics. Finally, the results are evaluated by the application of a multi-criteria decision-making (MCDM) algorithm according to which the MMOPSO outperforms the MOPSO. (C) 2020 Elsevier Ltd

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

    <a href="/en/project/GA18-15530S" target="_blank" >GA18-15530S: Aplikace vícekriteriálního programování na problémy v pružné výrobě a projektovém plánování: teorie a aplikace</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Cleaner Production

  • ISSN

    0959-6526

  • e-ISSN

  • Volume of the periodical

    283

  • Issue of the periodical within the volume

    124610

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    14

  • Pages from-to

    1-14

  • UT code for WoS article

    000609032200015

  • EID of the result in the Scopus database

    2-s2.0-85095826060