[1]. Whittle, J. (1988). Beyond optimization in open pit design. Computer Applications in the Mineral Industry, Balkema, Rotterdam, 331, 337.
[2]. Newman, A. M., Rubio, E., Caro, R., Weintraub, A., & Eurek, K. (2010). A review of operations research in mine planning. Interfaces, 40(3), 222-245.
[3]. Osanloo, M., Gholamnejad, J., & Karimi, B. (2008). Long-term open pit mine production planning: a review of models and algorithms. International Journal of Mining, Reclamation and Environment, 22(1), 3-35.
[4]. Balkema, A., Kuchta, M., & Martin, R. (2006). Open Pit Mine Planning and Design. In: Taylor and Francis plc, London, The United Kingdom.
[5]. Lerchs, H. (1965). Optimum design of open-pit mines. CIM bulletin, 58(633), 47-54.
[6]. Caccetta, L., & Hill, S. P. (2003). An application of branch and cut to open pit mine scheduling. Journal of global optimization, 27, 349-365.
[7]. Perez Canto, S. (2011). Using 0/1 mixed integer linear programming to solve a reliability-centered problem of power plant preventive maintenance scheduling. Optimization and Engineering, 12, 333-347.
[8]. Johnson, T. B. (1968). Optimum open pit mine production scheduling: University of California, Berkeley.
[9]. Gershon, M. E. (1983). Mine scheduling optimization with mixed integer programming. Min. Eng. (Littleton, Colo.);(United States), 35(4).
[10]. Denby, B., & Schofield, D. (1994). Open-pit design and scheduling by use of genetic algorithms. Transactions of the Institution of Mining and Metallurgy. Section A. Mining Industry, 103.
[11]. Denby, B., Schofield, D., & Hunter, G. (1996). Genetic algorithms for open pit scheduling-extension into 3-dimentions. Paper presented at the 5th International Symposium on Mine Planning and Equipment Selection, Sao Paulo, Brazil.
[12]. Dimitrakopoulos, R., & Ramazan, S. (2004). Uncertainty based production scheduling in open pit mining. SME transactions, 316.
[13]. Gaupp, M. (2008). Methods for improving the tractability of the block sequencing problem for open pit mining: DTIC Document.
[14]. Shamsi, M., Pourrahimian, Y., & Rahmanpour, M. (2022). Optimisation of open-pit mine production scheduling considering optimum transportation system between truck haulage and semi-mobile in-pit crushing and conveying. International Journal of Mining, Reclamation and Environment, 36(2), 142-158.
[15]. Ramazan, S., & Dimitrakopoulos, R. (2018). Stochastic optimisation of long-term production scheduling for open pit mines with a new integer programming formulation. In Advances in applied strategic mine planning (pp. 139-153): Springer.
[16]. Boland, N., Dumitrescu, I., Froyland, G., & Gleixner, A. M. (2009). LP-based disaggregation approaches to solving the open pit mining production scheduling problem with block processing selectivity. Computers & Operations Research, 36(4), 1064-1089.
[17]. Bley, A., Boland, N., Fricke, C., & Froyland, G. (2010). A strengthened formulation and cutting planes for the open pit mine production scheduling problem. Computers & Operations Research, 37(9), 1641-1647.
[18]. Cullenbine, C., Wood, R. K., & Newman, A. (2011). A sliding time window heuristic for open pit mine block sequencing. Optimization letters, 5, 365-377.
[19]. Sattarvand, J. (2012). Long-term open-pit planning by ant colony optimization. Aachen, Techn. Hochsch., Diss.,
[20]. Shishvan, M. S., & Sattarvand, J. (2015). Long term production planning of open pit mines by ant colony optimization. European Journal of Operational Research, 240(3), 825-836.
[21]. Gholamnejad, J., Lotfian, R., & Kasmaeeyazdi, S. (2020). A practical, long-term production scheduling model in open pit mines using integer linear programming. Journal of the Southern African Institute of Mining and Metallurgy, 120(12), 665-670.
[22]. Epstein, R., Gaete, S., Caro, F., Weintraub, A., Santibanez, P., & Catalan, J. (2003). Optimizing long term planning for underground copper mines. Paper presented at the Proc. Copper.
[23]. Indrayana, F., & Nainggolan, Y. A. (2021). Valuation for High-Risk Coal Mining Project Case Study: PT. Berau Coal Block Parapatan. In: Scopus.
[24]. Saragih, H. R. S. (2023). Modelling and optimization of open-pit mining operations. Universitat Politècnica de Catalunya.
[25]. Nehring, M., Knights, P., Kizil, M., & Hay, E. (2018). A comparison of strategic mine planning approaches for in-pit crushing and conveying, and truck/shovel systems. International journal of mining science and technology, 28(2), 205-214.
[26]. Dimitrakopoulos, R., Farrelly, C., & Godoy, M. (2002). Moving forward from traditional optimization: grade uncertainty and risk effects in open-pit design. Mining Technology, 111(1), 82-88.
[27]. Lagos, T., Armstrong, M., Homem-de-Mello, T., Lagos, G., & Sauré, D. (2020). A framework for adaptive open-pit mining planning under geological uncertainty. Optimization and Engineering, 1-36.
[28]. Martinez Lagunas, A. J., & Nik-Bakht, M. (2024). Process Mining, Modeling, and Management in Construction: A Critical Review of Three Decades of Research Coupled with a Current Industry Perspective. Journal of Construction Engineering and Management, 150(11), 04024158.
[29]. Mishra, A., Das, S. K., & Reddy, K. R. (2024). Potential use of coal mine overburden waste rock as sustainable geomaterial: review of properties and research challenges. Journal of Hazardous, Toxic, and Radioactive Waste, 28(1), 04023039.
[30]. Paricheh, M., Osanloo, M., & Rahmanpour, M. (2017). In-pit crusher location as a dynamic location problem. Journal of the Southern African Institute of Mining and Metallurgy, 117(6), 599-607.
[31]. Kamrani, A., Pourrahimian, Y., & Askari-Nasab, H. (2022). Long-term Mine Planning Optimization for IPCC-Based Open-Pit Mining Operations. Mining Optimization Laboratory, 1(780), 38.
[32]. Abbaspour, H. (2020). Transportation system selection in open-pit mines (Truck-Shovel and IPCC systems) based on the technical, economic, environmental, safety, and social (TEcESaS) indexes.
[33]. Paricheh, M., & Osanloo, M. (2020). Concurrent open-pit mine production and in-pit crushing–conveying system planning. Engineering optimization, 52(10), 1780-1795.
[34]. Al Habiba, N., Ben-Awuahb, E., & Askari-Nasaba, H. (2022). Review of Recent Developments in Short-Term Mine Planning and IPCC. Mining Optimization Laboratory, 1(780), 138.
[35]. Paricheh, M., Osanloo, M., & Rahmanpour, M. (2018). A heuristic approach for in-pit crusher and conveyor system’s time and location problem in large open-pit mining. International Journal of Mining, Reclamation and Environment, 32(1), 35-55.
[36]. Radlowski, J. K. (1988). In-pit crushing and conveying as an alternative to an all truck system in open pit mines. University of British Columbia.
[37]. Changzhi, Y. (2003). In-pit crushing and conveying system in Dexin pit copper haulage optimization for ore transport. Paper presented at the Fifth Large Open Pit Mining Conference.
[38]. Konak, G., Onur, AH, & Karakus, D. (2007). Selection of the optimum in-pit crusher location for an aggregate producer. Journal of the Southern African Institute of Mining and Metallurgy, 107(3), 161-166.
[39]. Turnbull, D., & Cooper, A. (2010). In-pit crushing and conveying (IPCC)-a tried and tested alternative to trucks: Part 1. AusIMM Bulletin (5), 60-64.
[40]. Atchison, T., & Morrison, D. (2011). In-pit crushing and conveying bench operations. Paper presented at the Proceedings of the tenth Iron Ore Conference.
[41]. Paricheh, M., & Osanloo, M. (2016). Determination of the optimum in-pit crusher location in open-pit mining under production and operating cost uncertainties. Paper presented at the 6th international conference on computer applications in the minerals industries.
[42]. Yarmuch, J., Epstein, R., Cancino, R., & Peña, J. C. (2017). Evaluating crusher system location in an open pit mine using Markov chains. International Journal of Mining, Reclamation and Environment, 31(1), 24-37.
[43]. Builes, C. A. J. (2017). A Mixed-Integer Programming Model for an In-Pit Crusher Conveyor Location Problem: Ecole Polytechnique, Montreal (Canada).
[44]. Abbaspour, H., Drebenstedt, C., Paricheh, M., & Ritter, R. (2019). Optimum location and relocation plan of semi-mobile in-pit crushing and conveying systems in open-pit mines by transportation problem. International Journal of Mining, Reclamation and Environment, 33(5), 297-317.
[45]. Shamsi, M., & Nehring, M. (2021). Determination of the optimal transition point between a truck and shovel system and a semi-mobile in-pit crushing and conveying system. Journal of the Southern African Institute of Mining and Metallurgy, 121(9), 497-504.
[46]. Shamsi, M., Pourrahimian, Y., & Rahmanpour, M. (2022). Optimisation of open-pit mine production scheduling considering optimum transportation system between truck haulage and semi-mobile in-pit crushing and conveying. International Journal of Mining, Reclamation and Environment, 36(2), 142-158.
[47]. Kamrani, A., Badiozamani, M. M., Pourrahimian, Y., & Askari-Nasab, H. (2024). Evaluating the semi-mobile in-pit crusher option through a two-step mathematical model. Resources Policy, 95, 105113.
[48]. Abbaspour, H., & Drebenstedt, C. (2023). Truck–Shovel vs. In-Pit Crushing and Conveying Systems in Open Pit Mines: A Technical Evaluation for Selecting the Most Effective Transportation System by System Dynamics Modeling. Logistics, 7(4), 92.
[49]. Findlay, L., & Dimitrakopoulos, R. (2024). Stochastic Optimization for Long-Term Planning of a Mining Complex with In-Pit Crushing and Conveying Systems. Mining, Metallurgy & Exploration, 41(4), 1677-1691.
[50]. Kamrani, A., Pourrahimian, Y., & Askari-Nasab, H. (2025). Semi-mobile in-pit crushing and conveying vs. truck-shovel systems: Long-term scheduling with road and conveyor networks integration. Expert Systems with Applications, 268, 126122.
[51]. Abalos, P., Brickey, A., & Goycoolea, M. (2025). Scheduling by Pushbacks: A Historical Review Ofoptimization Approaches for Strategic Open Pit Mineplanning. Available at SSRN 5138407.
[52]. Sjöberg, J. (1996). Large scale slope stability in open pit mining: a review.
Taheri, K., Hasanipanah, M., Golzar, S. B., & Majid, M. Z. A. (2017). A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration. Engineering with Computers, 33, 689-700.
[53]. Burt, C. N., & Caccetta, L. (2018). Equipment selection for mining: with case studies (Vol. 150): Springer.
Caccetta, L., & Hill, S. P. (2003). An application of branch and cut to open pit mine scheduling. Journal of global optimization, 27, 349-365.
[54]. Campos, P., Arroyo, C., & Morales, N. (2018). Application of optimized models through direct block scheduling in traditional mine planning. Journal of the Southern African Institute of Mining and Metallurgy, 118(4), 381-386.
[55]. Zahir, S., Sarker, R., & Al-Mahmud, Z. (2009). An interactive decision support system for implementing sustainable relocation strategies for adaptation to climate change: a multi-objective optimisation approach. International Journal of Mathematics in Operational Research, 1(3), 326-350.
[56]. Moradi Afrapoli, A., & Askari-Nasab, H. (2019). Mining fleet management systems: a review of models and algorithms. International Journal of Mining, Reclamation and Environment, 33(1), 42-60.
[57]. Osanloo, M., & Paricheh, M. (2020). In-pit crushing and conveying technology in open-pit mining operations: a literature review and research agenda. International Journal of Mining, Reclamation and Environment, 34(6), 430-457.
[58]. Upadhyay, S. P., & Askari-Nasab, H. (2019). Dynamic shovel allocation approach to short-term production planning in open-pit mines. International Journal of Mining, Reclamation and Environment, 33(1), 1-20.
[59]. Ataei, M., & Masir, R. N. (2020). A fuzzy DEMATEL based sustainable development index (FDSDI) in open pit mining–a case study. Rudarsko-geološko-naftni zbornik, 35(1).
[60]. Carter, R. A. (2010). Latest IPCC systems provide improved operational flexibility, higher capacity. Engineering and Mining Journal, 211(3), 42.
[61]. Whittle, C., Whitmarsh, L., Haggar, P., Morgan, P., & Parkhurst, G. (2019). User decision-making in transitions to electrified, autonomous, shared or reduced mobility. Transportation Research Part D: Transport and Environment, 71, 302-319.
[62]. Boyd, S. P., & Vandenberghe, L. (2004). Convex optimization: Cambridge university press.
Burt, C. N., & Caccetta, L. (2014). Equipment selection for surface mining: a review. Interfaces, 44(2), 143-162.
[63]. Nocedal, J., & Wright, S. J. (2006). Quadratic programming. Numerical optimization, 448-492.
[64]. Floudas, C. A., & Pardalos, P. M. (2008). Encyclopedia of optimization: Springer Science & Business Media.
[65]. Newman, A. M., Yano, C. A., & Rubio, E. (2013). Mining above and below ground: Timing the transition. IIE Transactions, 45(8), 865-882.
[66]. Whittle, D. (2019). Underground mine plan optimisation. University of Melbourne, Parkville, Victoria, Australia.
[67]. Darling, P. (2011). SME mining engineering handbook (Vol. 1): SME.
[68]. Hustrulid, W. A., & Iverson, S. R. (2013). A new perimeter control blast design concept for underground metal/nonmetal drifting applications.
[69]. Williams, H. P. (2013). Model building in mathematical programming: John Wiley & Sons.
[70]. Queyranne, M., & Wolsey, L. A. (2017). Tight MIP formulations for bounded up/down times and interval-dependent start-ups. Mathematical Programming, 164(1), 129-155.
[71]. Wolsey, L. A., & Nemhauser, G. L. (1999). Integer and combinatorial optimization: John Wiley & Sons.
[72]. Montiel, L., & Dimitrakopoulos, R. (2015). Optimizing mining complexes with multiple processing and transportation alternatives: An uncertainty-based approach. European Journal of Operational Research, 247(1), 166-178.
[73]. Askari-Nasab, H., Awuah-Offei, K., & Eivazy, H. (2010). Large-scale open pit production scheduling using mixed integer linear programming. International Journal of Mining and Mineral Engineering, 2(3), 185-214.
[74]. Tashayoei, R. (2022). Museum of the Geological Survey of Iran, a Geotourism attraction. Journal of Tourism Hospitality Research, 1(2), 110.
[75]. Taheri, K., Hasanipanah, M., Golzar, S. B., & Majid, M. Z. A. (2017). A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration. Engineering with Computers, 33, 689-700.
[76]. Bai, X., Marcotte, D., Gamache, M., Gregory, D., & Lapworth, A. (2018). Automatic generation of feasible mining pushbacks for open pit strategic planning. Journal of the Southern African Institute of Mining and Metallurgy, 118(5), 514-530.