Creating Value in the Coal Delivery Chain to a Captive Power Plant

2018 ◽  
Vol 140 (12) ◽  
Author(s):  
Dave Osborne ◽  
Dan Eyre
Keyword(s):  
Supply Chain ◽  
Power Plant ◽  
Plant Performance ◽  
Evaluation Tool ◽  
End User ◽  
Plant Improvement ◽  
Coal Beneficiation ◽  
A Value ◽  
Supply Chain Costs ◽  
Monitoring Performance

Integration of a supply chain involves the design, planning, execution, control, and monitoring of delivery chain activities for creating net value. This includes building appropriate infrastructure, leveraging logistics, synchronizing supply with demand, and continually measuring/monitoring performance. The combination of advanced mining and beneficiation technologies and power plant improvement processes when integrated within a “whole-of-supply chain” promises great potential for creating step changes in the way that coal is delivered to its end user. When the supply chain involves a direct mine-to-power plant, the benefits may initially seem limited, but the adoption of a value-in-use model to determine costs incurred along the chain can show how changes in mining, beneficiation, and supply impact on power plant performance and, ultimately, total-supply chain costs. Uniper Technologies' proprietary Fuel Evaluation Tool as described in the paper is an expert value-in-use model, which combined with coal beneficiation modeling and expertise from Somerset International can show the potential improvements achievable by adopting a “whole-of-supply-chain” approach.

scholarly journals Reduction of Wastes and Costs Through the Modified Kanban System in Unit Storerooms of HGH: A Value-for-Money Quality Improvement Initiative

2021 ◽  
Author(s):  
KENNETH JUN LOGRONO ◽  
BELAL SALEM ZU'BI
Keyword(s):  
Supply Chain ◽  
Quality Improvement ◽  
User Satisfaction ◽  
Point Of Care ◽  
Quality Improvement Initiative ◽  
Value For Money ◽  
End User ◽  
A Value ◽  
Kanban System ◽  
New Evidence

Abstract Most public health sectors in many countries were heavily burdened both financially and operationally as a result of the pandemic's new changes. Organizations have been pushed to develop innovative solutions to balance expenses and revenues through value-for-money initiatives as a result of erratic economic conditions.Purchasing and supply distribution to the point of care account for approximately 30–40% of the hospital's operating budget. The demand-based ordering system, also known as the par system, has inherently resulted in increased waste due to obvious estimations for the quantity of items. Increased waste and costs have become a widespread issue in the healthcare supply chain, which was identified as a priority for improvement.The project is aimed to reduce the costs by 50% by implementing the Kanban system in the unit storeroom of medical units within three months. The IHI Model of Improvement was undertaken to go through the implementation of the project. Several quality improvement tools were used to test different ideas of change and measurement of improvements were also made.Following the adoption of the modified Kanban System, the costs of consumable item supply decreased by 69% from 16,000 QAR to 5,000 QAR. The percentage of wastes has reduced significantly to 0% while limiting the percentage of out stocking to a median of 1%.Kanban as a lean method, reduces wastes by controlling the flow of consumables within a supply chain. Eliminating or reducing waste is a cornerstone of lean management. The project’s new evidence demonstrated significant and sustainable cost saving strategy by reducing waste and pre-quantifying items based on their usage and flow. The Kanban system ultimately improved nurses’ productivity, streamlined the unit’s stock supply, promoted value improvement, and helped increased end-user satisfaction.

A GIS methodology for optimal location of a wood-fired power plant: Quantification of available woodfuel, supply chain costs and GHG emissions

2017 ◽  
Vol 157 ◽  
pp. 201-212 ◽  
Author(s):  
S. Sánchez-García ◽  
D. Athanassiadis ◽  
C. Martínez-Alonso ◽  
E. Tolosana ◽  
J. Majada ◽  
...  
Keyword(s):  
Supply Chain ◽  
Power Plant ◽  
Ghg Emissions ◽  
Optimal Location ◽  
Supply Chain Costs

scholarly journals Reduction of Wastes and Costs Through the Modified Kanban System in Unit Storerooms of HGH: A Value-for-Money Quality Improvement Initiative

2021 ◽  
Author(s):  
KENNETH JUN LOGRONO ◽  
BELAL SALEM ZU'BI
Keyword(s):  
Supply Chain ◽  
Quality Improvement ◽  
User Satisfaction ◽  
Point Of Care ◽  
Quality Improvement Initiative ◽  
Value For Money ◽  
End User ◽  
A Value ◽  
Kanban System ◽  
New Evidence

Abstract Most public health sectors in many countries were heavily burdened both financially and operationally as a result of the pandemic's new changes. Organizations have been pushed to develop innovative solutions to balance expenses and revenues through value-for-money initiatives as a result of erratic economic conditions. Purchasing and supply distribution to the point of care account for approximately 30–40% of the hospital's operating budget. The demand-based ordering system, also known as the par system, has inherently resulted in increased waste due to obvious estimations for the quantity of items. Increased waste and costs have become a widespread issue in the healthcare supply chain, which was identified as a priority for improvement. The project is aimed to reduce the costs by 50% by implementing the Kanban system in the unit storeroom of medical units within three months. The IHI Model of Improvement was undertaken to go through the implementation of the project. Several quality improvement tools were used to test different ideas of change and measurement of improvements were also made. Following the adoption of the modified Kanban System, the costs of consumable item supply decreased by 69% from 16,000 QAR to 5,000 QAR. The percentage of wastes has reduced significantly to 0% while limiting the percentage of out stocking to a median of 1%. Kanban as a lean method, reduces wastes by controlling the flow of consumables within a supply chain. Eliminating or reducing waste is a cornerstone of lean management. The project’s new evidence demonstrated significant and sustainable cost saving strategy by reducing waste and pre-quantifying items based on their usage and flow. The Kanban system ultimately improved nurses’ productivity, streamlined the unit’s stock supply, promoted value improvement, and helped increased end-user satisfaction.

ANALISIS VARIASI JUMLAH SUDU TURBIN BERPENAMPANG PELAT DATAR PADA TURBIN AIR ALIRAN VORTEX DENGAN TIPE SALURAN MASUK INVOLUTE

2020 ◽  
Vol 7 (2) ◽  
pp. 72-78
Author(s):  
Adnan Al Farisi ◽  
Yopi Handoyo ◽  
Taufiqur Rokhman
Keyword(s):  
Power Plant ◽  
Alternative Energy ◽  
Vortex Flow ◽  
Experimental Methods ◽  
Turbine Efficiency ◽  
A Value ◽  
Current Voltage ◽  
Materials Research ◽  
The One ◽  
Flow Vortex

The One of alternative energy that is environmentally friendly is by untilize water energy and turn it into a Microhydro power plant. Microhydro power plant usually made from utilize the waterfall with the head fell. While utilization for streams with a head small drop is not optimal yet. This is a reference to doing research on harnessing the flow of a river that has a value of head low between 0.7 m – 1.4 m with turning it into a Vortex flow (vortex). The purpose of this research is to know  the effect variation number of blade on power and efficiency in the vortex turbine. This research uses experimental methods to find current, voltage, torque and rpm using a reading instrument. The materials research vortex turbine used 6 blade, 8 blade and 10 blade with flat plate. The result showed the highest efficiency is 29,93 % with produce turbine power is 19,58 W, generated on turbine with variation 10 blade with load 3,315 kg and the capacity of water 10,14 l/s. Followed with an efficiency 24,17% and produce turbine power is 15,81 W, generated on turbine with the variation 8 blade with load 3,315 kg and the capacity of water is 10,14 l/s. The the lowest turbine efficiency 22,32% with produce tuebine power 14,60 W, generated on turbine with the variation 6 blade with load 3,315 kg, the capacity of water is 10,14 l/s.

scholarly journals Data Driven Modelling of Nuclear Power Plant Performance Data as Finite State Machines

Modelling ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 43-62
Author(s):  
Kshirasagar Naik ◽  
Mahesh D. Pandey ◽  
Anannya Panda ◽  
Abdurhman Albasir ◽  
Kunal Taneja
Keyword(s):  
Power Plant ◽  
Nuclear Power Plant ◽  
Nuclear Power ◽  
Finite State Machine ◽  
State Machine ◽  
Plant Performance ◽  
Series Data ◽  
Cyberphysical Systems ◽  
Finite State ◽  
Machine Representation

Accurate modelling and simulation of a nuclear power plant are important factors in the strategic planning and maintenance of the plant. Several nonlinearities and multivariable couplings are associated with real-world plants. Therefore, it is quite challenging to model such cyberphysical systems using conventional mathematical equations. A visual analytics approach which addresses these limitations and models both short term as well as long term behaviour of the system is introduced. Principal Component Analysis (PCA) followed by Linear Discriminant Analysis (LDA) is used to extract features from the data, k-means clustering is applied to label the data instances. Finite state machine representation formulated from the clustered data is then used to model the behaviour of cyberphysical systems using system states and state transitions. In this paper, the indicated methodology is deployed over time-series data collected from a nuclear power plant for nine years. It is observed that this approach of combining the machine learning principles with the finite state machine capabilities facilitates feature exploration, visual analysis, pattern discovery, and effective modelling of nuclear power plant data. In addition, finite state machine representation supports identification of normal and abnormal operation of the plant, thereby suggesting that the given approach captures the anomalous behaviour of the plant.

scholarly journals Transport Cost Estimation Model of the Agroforestry Biomass in a Small-Scale Energy Chain

2020 ◽  
Vol 3 (1) ◽  
pp. 22
Author(s):  
Giulio Sperandio ◽  
Andrea Acampora ◽  
Vincenzo Civitarese ◽  
Sofia Bajocco ◽  
Marco Bascietto
Keyword(s):  
Supply Chain ◽  
Power Plant ◽  
Central Italy ◽  
Biomass Energy ◽  
Transport Cost ◽  
Small Scale ◽  
Economic Sustainability ◽  
Transport Costs ◽  
Energy Chain ◽  
Biomass Power Plant

The delivery of biomass products from the production place to the point of final use is of fundamental importance within the constitution of energy chains based on biomass use as renewable energy source. In fact, transport can be one of the most economically expensive operations of the entire biomass energy production process. In this work, a geographic identification, through remote sensing and photo-interpretation, of the different biomass sources was used to estimate the potential available biomass for energy in a small-scale supply chain. The economic sustainability of transport costs was calculated for different types of biomass sources available close to a biomass power plant of a small-scale energy supply chain, in central Italy. The proposed analysis allows us to highlight and visualize on the map the areas of the territory characterized by greater economic sustainability in terms of lower transport costs of residual agroforestry biomass from the collection point to the final point identified with the biomass power plant. The higher transport cost was around € 40 Mg−1, compared to the lowest of € 12 Mg−1.

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