Sina Navidi, Muhammad Motamedi, A. Aghsami, F. Jolai
{"title":"A G/M/C//M queueing model for revenue management of shovel-truck systems in an open-pit mine considering carbon emission, a case study","authors":"Sina Navidi, Muhammad Motamedi, A. Aghsami, F. Jolai","doi":"10.1080/17509653.2021.2015004","DOIUrl":null,"url":null,"abstract":"ABSTRACT The main cause of high-operating costs in open-pit mines is the costs of transportation. Therefore, reducing these costs could have a huge impact on overall mining efficiency and increasing profit. Meanwhile, the high cost of mining equipment, such as shovels and trucks, indicates the necessity of meticulous decision-making to find the optimal shovel-truck combination. In this paper, a new profit function for investing operations in open-pit mines is proposed using queueing theory based on a novel G/M/C//M queueing model. This function tries to maximize profit while considering budget constraints, equipment’s price, and other costs such as occupied servers, idle shovels, service in the queue, and CO2 emission. The proposed model is solved by GAMS software for small-sized instances, and Grasshopper Optimization Algorithm (GOA) is used as a meta-heuristic approach for large-scale problems. Numerical and computational results are provided to prove the efficiency and feasibility of the model. Finally, the presented model is implemented to Chadormalu mine in Iran as a case study.","PeriodicalId":46578,"journal":{"name":"International Journal of Management Science and Engineering Management","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2023-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Management Science and Engineering Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17509653.2021.2015004","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 5
Abstract
ABSTRACT The main cause of high-operating costs in open-pit mines is the costs of transportation. Therefore, reducing these costs could have a huge impact on overall mining efficiency and increasing profit. Meanwhile, the high cost of mining equipment, such as shovels and trucks, indicates the necessity of meticulous decision-making to find the optimal shovel-truck combination. In this paper, a new profit function for investing operations in open-pit mines is proposed using queueing theory based on a novel G/M/C//M queueing model. This function tries to maximize profit while considering budget constraints, equipment’s price, and other costs such as occupied servers, idle shovels, service in the queue, and CO2 emission. The proposed model is solved by GAMS software for small-sized instances, and Grasshopper Optimization Algorithm (GOA) is used as a meta-heuristic approach for large-scale problems. Numerical and computational results are provided to prove the efficiency and feasibility of the model. Finally, the presented model is implemented to Chadormalu mine in Iran as a case study.
期刊介绍:
International Journal of Management Science and Engineering Management (IJMSEM) is a peer-reviewed quarterly journal that provides an international forum for researchers and practitioners of management science and engineering management. The journal focuses on identifying problems in the field, and using innovative management theories and new management methods to provide solutions. IJMSEM is committed to providing a platform for researchers and practitioners of management science and engineering management to share experiences and communicate ideas. Articles published in IJMSEM contain fresh information and approaches. They provide key information that will contribute to new scientific inquiries and improve competency, efficiency, and productivity in the field. IJMSEM focuses on the following: 1. identifying Management Science problems in engineering; 2. using management theory and methods to solve above problems innovatively and effectively; 3. developing new management theory and method to the newly emerged management issues in engineering; IJMSEM prefers papers with practical background, clear problem description, understandable physical and mathematical model, physical model with practical significance and theoretical framework, operable algorithm and successful practical applications. IJMSEM also takes into account management papers of original contributions in one or several aspects of these elements.