scholarly journals Uncertainty Management Associated With Project Scheduling in Mine Construction: A Coal Mining Case Study

2020 ◽  
Author(s):  
Matt Renaud ◽  
Mustafa Kumral
Keyword(s):  
Construction Projects ◽  
Large Scale ◽  
Critical Path ◽  
Optimal Schedule ◽  
Commodity Prices ◽  
Monte Carlo Sampling ◽  
Project Outcomes ◽  
Mining Project ◽  
Mining Projects

Abstract Due to the cyclical nature of commodity prices, the profitability of mining projects relies on proper timing. To ensure optimal profits, mines should be brought online at the time, which maximizes the potential value of the asset. In this paper, a coking coal mine construction case is used to demonstrate the effectiveness of scheduling large-scale construction projects with uncertain durations under price cyclicality. Project parameters are obtained stochastically via Monte Carlo sampling, allowing for the influence of uncertainty to be quantified. The critical path method and linear programming are employed to analyze the results and to optimize the construction process, ensuring the maximum value of the mining project. The parameters are repeatedly sampled to obtain distributions of possible project outcomes, allowing for risk and sensitivity quantification. The optimal schedule for construction was determined to be 247 weeks, with a most likely value of $813 million.

Risk assessment of mining projects in Ghana

2017 ◽  
Vol 23 (1) ◽  
pp. 22-38 ◽  
Author(s):  
Charles Teye Amoatey ◽  
Samuel Famiyeh ◽  
Peter Andoh
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Academic Research ◽  
Mining Industry ◽  
Commodity Prices ◽  
Mitigation Measures ◽  
Content Type ◽  
Management Culture ◽  
Mining Project ◽  
Mining Projects

Purpose The purpose of this paper is to assess the critical risk factors affecting mining projects in Ghana. Design/methodology/approach A purposive sampling approach was used in selecting the respondents for the study. These were practitioners working on mining projects in Ghana. Findings The study identified 22 risk factors contributing to mining project failure in Ghana. The five most critical mining project risk factors based on both probability of occurrence and impact were unstable commodity prices, inflation/exchange rate, land degradation, high cost of living and government bureaucracy for obtaining licenses. Mitigation measures for addressing the identified risk factors were identified. Research limitations/implications This paper is limited to data collected from practitioners working on mining projects. Due to geographic and logistical constraints, the study did not include the perception of local communities in quantifying the risk factors. Practical implications This paper has documented the critical risk factor affecting the mining industry in Ghana. Though the identified risk types are also prevalent in other sectors of the construction industry, the key findings of this paper emphasize the need for a comprehensive risk management culture in the mining sector. From an academic research perspective, the paper contributes to a conceptual risk assessment framework. Originality/value The information gathered through this research can be utilized in identifying and understanding risks during the early stages of mining project implementation.

scholarly journals Introducing an innovation promotion model for construction projects

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sam Fernando ◽  
Kriengsak Panuwatwanich ◽  
David Thorpe
Keyword(s):  
Literature Review ◽  
Construction Projects ◽  
Complex Dynamics ◽  
Relationship Enhancement ◽  
Content Type ◽  
Study Approach ◽  
Project Outcomes ◽  
First Time ◽  
Comprehensive Study

PurposeThis study aims to investigate and model the complex dynamics of innovation enablers in construction projects aiming to develop a framework identifying actions for clients to promote innovation.Design/methodology/approachThrough a comprehensive literature review, a conceptual model was previously derived to explain the client-driven enablers in promoting innovation. This was tested using the data from 131 Australian construction projects. Statistical analysis was conducted on the data using factor analysis and correlation analysis to test the model, which was validated using the case study approach. The testing and validating aspects are explained in this paper.FindingsThe constructs of the recommended model are idea harnessing, relationship enhancement, incentivization and project team fitness.Research limitations/implicationsThe difficulty of analyzing the complex dynamics happening within projects in relation to innovation has been a barrier to progress research in this area. The introduction of this model would pave the way for researchers to explore this area with ease.Originality/valueAs revealed in the detailed literature review undertaken, this is the first time that a comprehensive study has been conducted to identify client-led innovation enablers for construction projects. The results would benefit industry practitioners to achieve enhanced project outcomes in construction projects through innovation.

Fuzzy Analytic Hierarchy in Project Risk Management - New Stadium Construction Project in Weifang City

2011 ◽  
Vol 243-249 ◽  
pp. 6362-6368
Author(s):  
Yan Zhang ◽  
Chang Jiang Liu
Keyword(s):  
Risk Management ◽  
Project Management ◽  
Construction Projects ◽  
Large Scale ◽  
Construction Project ◽  
Construction Project Management ◽  
Analytic Hierarchy ◽  
Project Risk ◽  
Management Case Study

In the field of engineering and construction, unqualified construction quality, time delays, cost more than expected phenomena to occur. Because of these characteristics such as its large-scale construction projects, long cycle, the production of single and complex, there is greater risk than the production of general products, the risk increases the difficulty of construction project management, operating costs and the possibility of potential losses, therefore, risk management emerged and become an increasingly important integral part of project management. In this paper, fuzzy analytic hierarchy be used to construction project risk assessment, and to order the sort of each risk in order to prevent significant risks. On an actual project - the new stadium construction in Weifang City risk management case study, the reduction of risk of project failure is expected, but also the project is hoped for other industries to provide some reference for risk management.

scholarly journals Sensitivity analysis as a decision-making tool for the implementation of an investment project in mining industry

2021 ◽  
Vol 21 (3) ◽  
pp. 295-303
Author(s):  
Elena A. Pozdnyakova ◽  
◽  
Liudmila A. Ramenskaya ◽  
Dmitrii S. Voronov ◽  
◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Large Scale ◽  
Quantitative Methods ◽  
Mining Industry ◽  
Commodity Prices ◽  
Investment Project ◽  
Technical Equipment ◽  
Investment Projects ◽  
Sensitivity Analysis Method ◽  
Mining Projects

Introduction. Russian mining companies need to implement large-scale investment projects due to a variety of internal and external reasons. Projects are aimed at the development of new deposits, technical equipment and the modernization of existing ones. To make substantiated management decisions, a toolkit for analyzing the risks of investment projects is required. Theoretical analysis. The section contains the need to apply quantitative methods for assessing investment risks based on cash flow modeling. We have analyzed the possibility of the use of sensitivity analysis techniques, real options and Monte Carlo methods for the quantitative assessment of the mining industry investment projects risks. The result includes a justification of the feasibility of applying the sensitivity analysis method at the early stages of an investment project. Empirical analysis. The sensitivity analysis tested metrics such as production volumes, commodity prices, capital and operating costs on two mining projects. It was found out that the projects under consideration are the most sensitive to changes in the price of commercial products. Results. Sensitivity analysis is a useful tool for risk analysis of investment projects. The application of this method to an investment project in the mining industry should be carried out taking into account the industry specifics.

TEACHING HOW TO USE A REPETITIVE SCHEDULING METHOD WHEN PLANNING A GREEN CONDOMINIUM BUILDING

2019 ◽  
Vol 14 (2) ◽  
pp. 203-217
Author(s):  
Wannawit Taemthong ◽  
Nattasit Chaissard
Keyword(s):  
Construction Projects ◽  
Critical Path ◽  
Management Program ◽  
Construction Planning ◽  
Construction Engineering ◽  
Construction Productivity ◽  
Scheduling Method ◽  
The Right ◽  
Apartment Complexes

This paper aims to present a methodology for use in construction planning named the Repetitive Scheduling Method (RSM). Students on a graduate level construction management program can learn how to create a RSM schedule to be applied to a real project. Typically, the Critical Path Method (CPM) is used to plan general construction projects. This paper presents a case study wherein a CPM diagram is transformed into a RSM schedule for use in the construction of a green condominium. RSM is the most suitable tool for planning repetitive projects like condominium buildings, apartment complexes, or real estate development projects. It utilizes an uninterrupted flow of resource concept in order to eliminate manpower-related resource wastage. As a result, construction productivity can be improved by using the right construction planning tool on the right project. Interested graduate students researching construction engineering can apply RSM on their repetitive projects in the future.

Australia: Regulatory, Human Rights and Economic Challenges and Opportunities of Large-Scale Mining Projects: A Case Study of the Carmichael Coal Mine

2021 ◽  
pp. 1-15
Author(s):  
Sandra Cassotta ◽  
Vladimir Pacheco Cueva ◽  
Malayna Raftopoulos
Keyword(s):  
Coal Mine ◽  
Large Scale ◽  
Interdisciplinary Approach ◽  
Economic Benefits ◽  
Regulatory Framework ◽  
Global Perspectives ◽  
Legal Challenges ◽  
Challenges And Opportunities ◽  
Mining Projects

Using the Carmichael coal mine as a case study, this paper explores and analyses the current challenges and potentials of the Australian regulatory framework in designing policies that balance the direct local economic benefits with global environmental concerns and a global common vision about how to manage mining development and energy security challenges. In this effort, it evaluates the current Australian regulatory framework for mining projects, based on two hypotheses: 1) the development of large-scale mining energy projects linked to fossil-fuel resources creates legal challenges; 2) these legal challenges should be analysed in an interdisciplinary approach from both local and global perspectives on law, economics and socio-politics.

scholarly journals Diagnosis Index System Setup for Implementation Status Management in Large-Scale Construction Projects

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Wan-Yu Wang ◽  
Yi Wang
Keyword(s):  
Rough Set ◽  
Index System ◽  
Construction Projects ◽  
Large Scale ◽  
Mathematic Model ◽  
Scale Construction ◽  
The Index System ◽  
Set Up ◽  
Implementation Status

In order to scientifically set up the diagnosis index system for the implementation state of large-scale construction projects, this paper proposed a new method which takes into account the indicators in all level states. Different from the index system constructed by other methods, the indexes/indicators established in this paper are more systematically correlated, with a better hierarchical progression in all levels of the index system. The particular diagnosis index parameters of the management objects are firstly analysed through the mathematic model based on the Rough Set. Then, the representation of the periodical management problems is taken as the study object, and the detailed establishing process to form the index system is presented based on the evidenced theory and the Rough Set extraction. Finally, a case study is presented to validate the proposed method. It is shown that the index system set up by the proposed method can not only represent the systematic hierarchical relationships among all corresponding indexes but also diagnose the macroscopic, the mesostates, and the microstates effectively.

scholarly journals Farmers Education and Risk Perceptions of Large-Scale Mining in Ghana

2020 ◽  
Vol Special Issue (1) ◽  
Author(s):  
Fred Owusu-Ansah
Keyword(s):  
Risk Perceptions ◽  
Large Scale ◽  
Social Protection ◽  
Natural Capital ◽  
Economic Status ◽  
Empirical Studies ◽  
Pearson's R ◽  
Mining Project ◽  
Mining Projects ◽  
Pearson’S R

Empirical studies that use household farmers as unit of analysis to examine the relative influence of education on risk perceptions of large scale mining projects in Ghana are virtually absent. This study combined evidence from literature, mixed methods, Pearson’s Chi square (X2) and correlation analyses. Systematic random sampling was used in selecting farmers. Data obtained from 725 households was analyzed using SPSS. The hypothesis “education has no relationship with farmers’ risk perceptions of large-scale mining projects in Ghana” was tested. Results revealed that large-scale mining has both positive and negative image in the minds of farmers. Farmers’ education strongly correlated with their knowledge of the state of the environment and natural resources before the arrival of the mining project [Pearson’s (X2) = 26.743; p = 0.024; Pearson's (r) = 0.791; p = 0.010]. Statistical evidence exists to support the claim that local communities protested against the mining project due to their ability to anticipate adverse effects of the project on environmental quality. Education significantly influenced farmers’ ability to link sources of livelihood to environmental and resource protection [Pearson's (X2) = 25.516, p = 0.043; Pearson's (r) = 0.640; p = 0.036]. Farmers’ risk perceptions of large scale mining as a threat to: community’s natural capital; traditional systems; environmental and social protection regime; established administrative procedures and good conducts of public officials; as well as being a threat to rural livelihood have serious implications for achieving the goals of sustainable mining in Ghana. Nonetheless, farmers associated mining as agent of economic development, and education significantly influenced this assessment [Pearson’s (X2) = 28.093, p = 0.021; Pearson’s (r) = 0.077; p = 0.041]. This paper concludes that education is a significant predictor in risk perception assessment. Robust environmental and social protection regimes, strong public institutions and improved socio-economic status are good predictors of farmers’ risk perceptions of mining.

scholarly journals CSCW Challenges in Large-Scale Technical Projects: A Case Study

1992 ◽  
Vol 21 (411) ◽  
Author(s):  
Kaj Grønbæk ◽  
Morten Kyng ◽  
Preben Holst Mogensen
Keyword(s):  
Construction Projects ◽  
Large Scale ◽  
Daily Work ◽  
Engineering Company ◽  
Hands On ◽  
Work Tasks ◽  
Coordination Tool ◽  
Future Work

<p>This paper investigates CSCW aspects of large-scale technical projects based on a case study of a specific Danish engineering company and uncovers challenges to CSCW aplications in this setting. The company is responsible for management and supervision of one of the worlds largest tunnel/bridge construction projects. Our primary aim is to determine requirements on CSCW as they unfold in this concrete setting as opposed to survey and laboratory investigations. The requirements provide feedback to product development both on specific functionality and as a long term vision for CSCW in such settings.</p><p>The initial qualitative analysis identified a number of bottlenecks in daily work, where support for cooperation is needed. Examples of bottlenecks are: sharing materials, issuing tasks, and keeping track of task status. Grounded in the analysis, cooperative design workshops based on scenanos of future work situations were established to investigate the potential of different CSCW technologies in this setting. In the workshops, mock-ups and prototypes were used to support end-users in assessing CSCW technologies based on con crete, hands-on experiences. The workshops uncovered several challenges. First, support for sharing materials would require a huge body of diverse materials to be integrated, for example into a hypermedia network. Second, daily work tasks are event driven and plans change too rapidly for people to register them on a computer. Finally, tasks are closely coupled to materials being processed thus a coordination tool should integrate facilities for managing materials.</p>

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