Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A simulative model for optimum open pit design
Date
2001-10-01
Author
Erarslan, K
Celebi, N
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
198
views
0
downloads
Cite This
Previous research in the area of open pit mine optimization has focused on profit maximization by optimizing pit limits or optimizing production schedules. However, these two approaches are interrelated and dependent on each other. Recent studies have recognized the limitation of this optimization approach, Consequently, there is a need for a more comprehensive modelling strategy. Such an optimization model should incorporate mining activities that are simulated (as they are expected to occur) as much as possible. Considerations should be given to such parameters as the cut-off ore grade, the starting location of mining, equipment selection, annual production rates, excavation sequence, and the synchronization of the mining plant operations during the planning stage of the mine. A change in any of these parameters will cause a concomitant change in other parameters. Therefore an efficient optimization system is one that attempts to simulate the mine in a comprehensive manner and thereby provides more realistic results.
Subject Keywords
Profit maximization
,
Optimum pit design
,
Dynamic programming
,
Mine simulation
URI
https://hdl.handle.net/11511/64780
Journal
CIM BULLETIN
Collections
Department of Mining Engineering, Article
Suggestions
OpenMETU
Core
An exponential big bang-big crunch algorithm for discrete design optimization of steel frames
Hasançebi, Oğuzhan (2012-11-01)
In the present study an enhanced variant of the big bang-big crunch (BB-BC) technique, namely exponential BB-BC algorithm (EBB-BC) is developed for code based design optimization of steel frame structures. It is shown that the standard version of the BB-BC algorithm is sometimes unable to produce reasonable solutions to problems from discrete design optimization of steel frames. Hence, through investigating the shortcomings of BB-BC algorithm, it is aimed to reinforce the performance of the technique for th...
A reformulation of the ant colony optimization algorithm for large scale structural optimization
Hasançebi, Oğuzhan; Saka, M.p. (2011-01-01)
This study intends to improve performance of ant colony optimization (ACO) method for structural optimization problems particularly with many design variables or when design variables are chosen from large discrete sets. The algorithm developed with ACO method employs the so-called pheromone scaling approach to overcome entrapment of the search in a poor local optimum and thus to recover efficiency of the method for large-scale optimization problems. Besides, a new formulation is proposed for the local upda...
Tactical inventory and backorder decisions for systems with predictable production yield
MART, Turgut; Duran, Serhan; Bakal, İsmail Serdar (2013-06-01)
We consider a manufacturing system with stochastic demand and predictable production yield. The manufacturer has predetermined prices and limited production capacity in each period. The manufacturer also has the option to save some inventory for future periods even if there is demand in the current period. The demand that is not met is lost or may be backordered for only one period. Our objective is to maximize the expected profit by choosing optimal produce-up-to level ((Y) over bar*(t)), save (S*(t)) and ...
A balanced scorecard model for the performance measurement of enterprise resource planning imlementation
Arık, Ayşe Gül; Onay, Lamia Zeynep; Department of Business Administration (2006)
In this study, the applicability of the Balanced Scorecard Framework, developed by Robert S. Kaplan and David P. Norton in 1992 for measuring performance at the organizational level or the business unit level, to performance measurement during the implementation phase of Enterprise Resource Planning (ERP) systems is investigated. A model based on the Balanced Scorecard Framework is presented with sample indicators for each of the four perspectives -Financial Perspective, Customer Perspective, Internal Busin...
A multi-phase heuristic for the production routing problem
Solyali, Oguz; Süral, Haldun (2017-11-01)
This study considers the production routing problem where a plant produces and distributes a single item to multiple retailers over a multi-period time horizon. The problem is to decide on when and how much to produce and stock at the plant, when and how much to serve and stock at each retailer, and vehicle routes for shipments such that the sum of fixed production setup cost, variable production cost, distribution cost, and inventory carrying cost at the plant and retailers is minimized. A multi-phase heur...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
K. Erarslan and N. Celebi, “A simulative model for optimum open pit design,”
CIM BULLETIN
, pp. 59–68, 2001, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/64780.