Allameh Tabataba'i UniversityIndustrial Management Studies2251-8029102720121221Developing two multi-objective algorithms for
solving multi-objective flexible job shop
scheduling problem considering total consumed
power per monthDeveloping two multi-objective algorithms for
solving multi-objective flexible job shop
scheduling problem considering total consumed
power per month1181431905FASeyed Habib ARahmatiMostafaZandiehJournal Article20120519In this paper, to make flexible job shop scheduling problem (FJSP)<br />more realistic, an operational factor is considered in its model. This<br />factor, which is called optimizing total consumed electric power per<br />month, is known as the most important factor in calculation of the<br />electric cost of the industries. Considering this factor, specifically<br />after subsides elimination of the country, has became more important.<br />In addition to this objective, two other common objectives, called<br />complementation time and critical work load of machines, are<br />considered. To solve the multi-objective model, two algorithms,<br />called multi-objective biogeography-based optimization algorithm<br />(MOBBO) and multi-objective harmony search algorithm (MOHS),<br />are developed and introduced to scheduling area for the first time.<br />Finally, by developing some famous libraries of the problem,<br />performance of the algorithms is compared statisticallyIn this paper, to make flexible job shop scheduling problem (FJSP)<br />more realistic, an operational factor is considered in its model. This<br />factor, which is called optimizing total consumed electric power per<br />month, is known as the most important factor in calculation of the<br />electric cost of the industries. Considering this factor, specifically<br />after subsides elimination of the country, has became more important.<br />In addition to this objective, two other common objectives, called<br />complementation time and critical work load of machines, are<br />considered. To solve the multi-objective model, two algorithms,<br />called multi-objective biogeography-based optimization algorithm<br />(MOBBO) and multi-objective harmony search algorithm (MOHS),<br />are developed and introduced to scheduling area for the first time.<br />Finally, by developing some famous libraries of the problem,<br />performance of the algorithms is compared statisticallyhttps://jims.atu.ac.ir/article_1905_245bcf83bfcfef8e11d6fa7ec52d39e7.pdf