2018
DOI: 10.1016/j.jclepro.2018.01.135
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Production scheduling optimization considering ecological costs for open pit metal mines

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Cited by 30 publications
(21 citation statements)
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“…In contrast to the previous work, paper [7] presents a method of cost planning (dynamic programming) which considers environment-related costs as internal costs. These costs include hydrocarbon emissions, the cost of energy consumption and the costs associated with the wastes of material resources.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…In contrast to the previous work, paper [7] presents a method of cost planning (dynamic programming) which considers environment-related costs as internal costs. These costs include hydrocarbon emissions, the cost of energy consumption and the costs associated with the wastes of material resources.…”
Section: Literature Review and Problem Statementmentioning
confidence: 99%
“…Extensive research has been done on modelling and analysis of manufacturing system (Hopp and Spearman, 1996;Shi and Zhou, 2009;Jaber and Khan, 2010), scheduling and material and maintenance requirement planning (Shi, 2006;Xu et al, 2018;Sun et al, 2018), and material handling systems (Poon et al, 2011;Heragu et al, 2011;Shahbazi et al, 2016), lean manufacturing (Green et al, 2010;Sartal et al, 2018). Much of the previous works focus on performance metrics of isolated manufacturing system which is based on the nature of the methods used in the respective manufacturing processes.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Some address the maximization of the Net Present Value NPV of mining projects (Samavati, Essam, Nehring, & Sarker, 2017;Whittle, Brazil, Grossman, Rubinstein, & Thomas, 2018). Others address the consideration of sustainable development aspects "economic, social, environmental and lately safety" (Kazanin, Rudakov, & Kolvakh, 2018), which are firmly related to the UPL, explaining the needs to consider them in mine planning and mining design for a sustainable mining industry (Adibi, Ataee-Pour, & Rahmanpour, 2015;Kamenopoulos, Agioutantis, & Komnitsas, 2018;Popovic et al, 2015;Rahmanpour & Osanloo, 2017;Xu et al, 2018).…”
Section: Introductionmentioning
confidence: 99%