scholarly journals Performance Improvement on Some Closed Loop Plastic Recycling Plants

2021 ◽  
Vol 9 (11) ◽  
pp. 934-940
Author(s):  
Davids S. O.
Keyword(s):  
Performance Improvement ◽  
Cycle Time ◽  
Closed Loop ◽  
Cost Effective ◽  
Pareto Principle ◽  
Rate Performance ◽  
Plastic Recycling ◽  
Engineering And Technology ◽  
Performance Rate ◽  
Operation Cost

Abstract: This research focuses on pertinent parameters to improve the performance of four plastic recycling plants. The method used in this work is the overall equipment effectiveness (OEE) analysis. After assessing data collected and comparing calculated values with global accepted standards, there was need to optimize the OEE value of 74.40% for plant P48mold which was below the universally accepted value of 85% and for plant P72mold which is exactly 85%. Optimization toolbox is used to select values for cycle time ranging between 0.75min and 0.73min to improve the calculated value of 74.40% for plant P48mold and 85% for plant P72mold. Optimizing the OEE values significantly increases production by making the operation cost-effective. The OEE value was obtained by multiplying the three factors of availability rate, performance rate and quality rate and optimized values of 87% for P48 mould and 115% for P72 mould were obtained respectively. The cycle time was used to optimize the performance of both plants, which improved the OEE values. These values proved that change in cycle time can improve OEE. A Pareto principle 80/20 rule was also used to proactively check the effects of the planned and unplanned downtime. Keywords: Throughput, Efficiency, Overall Equipment Effectiveness, Cycle time. Cite the Article: Davids S. O., Sodiki J. I., and Isaac O. E. (2021) Performance Improvement on Some Closed Loop Plastic Recycling Plants. Journal of Newviews in Engineering and Technology (JNET),

Control of a lamination process

2005 ◽  
Vol 219 (1) ◽  
pp. 69-81 ◽  
Author(s):  
R Whalley ◽  
M Ebrahimi
Keyword(s):  
High Speed ◽  
Closed Loop ◽  
Cost Effective ◽  
Closed Loop System ◽  
Design Validation ◽  
Control Effort ◽  
Speed Of Response ◽  
Feedback Compensation ◽  
Lamination Process ◽  
Compensation Design

A high-speed laminating machine for a fabric coating and conversion process is considered. Following analysis procedures, state-space and the admittance transfer function descriptions for the system are derived. Regulation of the fabric tension owing to heat shrinkage and environmental and coating variations is necessary. An optimum, minimum control effort strategy is proposed, enabling simple cost effective regulation, without the use of active elements. The speed of response of the system is improved by the use of feedback compensation. Design validation, via simulation, obtaining the open- and closed-loop system responses is employed, demonstrating the achievement of smooth, almost monotonic variations in tension following reference changes, as specified.

Evidence-Based Clinical Recommendations for the Administration of the Sequential Motion Rates Task

2017 ◽  
Vol 39 (3) ◽  
pp. 442-448
Author(s):  
Michal Icht ◽  
Boaz M. Ben-David
Keyword(s):  
Cost Effective ◽  
Assessment Process ◽  
Evaluation Procedure ◽  
Evaluation Tool ◽  
Motor Abilities ◽  
Effective Evaluation ◽  
Specific Performance ◽  
Performance Rate ◽  
Simple Equations ◽  
Administration Protocol

The sequential motion rates (SMR) task, that involves rapid and accurate repetitions of a syllable sequence, /pataka/, is a commonly used evaluation tool for oro-motor abilities. Although the SMR is a well-known tool, some aspects of its administration protocol are unspecified. We address the following factors and their role in the SMR protocol: (a) selecting the appropriate stimulus for the client—nonword, real word or both, (b) the necessity of a practice round, (c) using visual feedback, (d) using language-specific performance rate norms, and (e) the implications for using different measurements (time-based, rate-based). We also provide rate norms for Hebrew-speaking clients and a pair of simple equations for transforming data from time-based units (seconds) to rate-based units (syllables/s). These recommendations can be considered in the clinical assessment process and may be integrated into the speech-language pathologists’ practice, allowing for a more accurate and cost-effective evaluation procedure.

scholarly journals Incorporating Outsourcing Strategy and Quality Assurance into a Multiproduct Manufacturer–Retailer Coordination Replenishing Decision

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2212
Author(s):  
Yuan-Shyi Peter Chiu ◽  
Victoria Chiu ◽  
Tsu-Ming Yeh ◽  
Hua-Yao Wu
Keyword(s):  
Quality Assurance ◽  
Cycle Time ◽  
Cost Effective ◽  
Managerial Decision ◽  
Optimal Operating ◽  
Supply Chain System ◽  
Operating Policy ◽  
Multiproduct Manufacturing ◽  
The Impact ◽  
Optimal Operating Policy

This study explores the multiproduct manufacturer-retailer coordination replenishing decision featuring outsourcing strategy and product quality assurance. Globalization has generated enormous opportunities. Consequently, transnational firms now face tough competition in global markets. To stay competitive, a firm should meet the client’s multi-item and quality requirements under capacity constraints and optimize the intra-supply chain system to allow the timely distribution of finished goods under minimum system cost. The outsourcing option is considered to release machine loadings and reduce cycle time effectively. All items fabricated are screened for quality, and reworkable and scrap items are separated. Any reworked items that fail the quality reassurance screening are discarded, whereas all outsourced products are quality-guaranteed by the provider. A fixed-quantity multi-shipment plan is used when the whole finished lot is quality-ensured to help present-day transnational firms gain competitive advantage by making efficient and cost-effective multiproduct manufacturing and delivering decisions. Mathematical modeling is built to portray the system’s characteristics, and conventional differential calculus is used to solve and derive the optimal operating policy for the proposed problem. Simultaneously, we find the optimal delivery frequency and common cycle time for the problem mentioned above. A simulated numerical example and sensitivity analysis demonstrate the research result’s capability and applicability. Our precise analytical model can reveal/highlight the impact of deviations in quality- and outsourcing-related features on the optimal operating policy and several performance indicators that help managerial decision-making.

scholarly journals Rechargeable Aqueous Zinc-Ion Batteries in MgSO4/ZnSO4 Hybrid Electrolytes

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Yingmeng Zhang ◽  
Henan Li ◽  
Shaozhuan Huang ◽  
Shuang Fan ◽  
Lingna Sun ◽  
...  
Keyword(s):  
Current Density ◽  
Specific Capacity ◽  
Cost Effective ◽  
Reversible Capacity ◽  
Zinc Ion ◽  
Rate Performance ◽  
Capacity Fading ◽  
Battery System ◽  
High Specific Capacity ◽  
A Current

AbstractMgSO4 is chosen as an additive to address the capacity fading issue in the rechargeable zinc-ion battery system of MgxV2O5·nH2O//ZnSO4//zinc. Electrolytes with different concentration ratios of ZnSO4 and MgSO4 are investigated. The batteries measured in the 1 M ZnSO4−1 M MgSO4 electrolyte outplay other competitors, which deliver a high specific capacity of 374 mAh g−1 at a current density of 100 mA g−1 and exhibit a competitive rate performance with the reversible capacity of 175 mAh g−1 at 5 A g−1. This study provides a promising route to improve the performance of vanadium-based cathodes for aqueous zinc-ion batteries with electrolyte optimization in cost-effective electrolytes.

Output Feedback Assignability for Nonlinear Min-Max Systems

2011 ◽  
Vol 314-316 ◽  
pp. 374-379
Author(s):  
Hong Yun Wei ◽  
Zhong Xun Zhu ◽  
Yue Gang Tao ◽  
Wen De Chen
Keyword(s):  
Output Feedback ◽  
Cycle Time ◽  
Closed Loop ◽  
Loop System ◽  
Closed Loop System ◽  
Sufficient Criterion ◽  
Feedback Cycle ◽  
Necessary And Sufficient ◽  
Coloring Graph

This paper investigates the output feedback cycle time assignability of the min-max systems which are more complex than the systems studied in recent years. Max-plus projection representation for the closed-loop system with min-max output feedback is introduced. The coloring graph is presented and applied to analyze the structure of systems effectively. The necessary and sufficient criterion for the output feedback cycle time assignability is established which is an extension of the results studied before. The methods are constructive in nature.

Incorporating Cost and Resource Efficiency Into the Development of Green Recycling Technologies

2010 ◽  
Author(s):  
Q. Z. Yang ◽  
G. J. Qi ◽  
H. C. Low
Keyword(s):  
Resource Use ◽  
Closed Loop ◽  
Cost Effective ◽  
Resource Efficiency ◽  
Open Loop ◽  
Industrial Wastes ◽  
Hydrogenation Catalysts ◽  
Nickel Recovery ◽  
Process Waste ◽  
Process Cost

The development of cost-effective and green recycling technologies for secondary metal recovery from industrial wastes is one of the new challenges on the sustainable development agenda. By incorporating cost and resource efficiency assessment into the technology innovation process, we aim to improve the sustainability of new recycling technologies by minimizing process waste, improving resource efficiency, thus reducing the recovery process cost. This paper focuses on modeling and assessing the production cost and resource use efficiency for closed-loop nickel recovery from spent hydrogenation catalysts. The engineering economics factors and process variables that affect the profitability and resource efficiency of nickel recovery are identified. They are modeled in cost and efficiency metrics. Model-based scenarios assessment revealed that compared to open-loop nickel recovery, the closed-loop concept delivers more cost-effective and greener recycling solutions. The closed-loop process cost reduction via efficient resource use and process waste minimization is in the range of 18.4% to 24.0% compared to the open-loop process option.

Oregon Institute of Technology Robotic Control System

2007 ◽  
Author(s):  
Charles R. Bates ◽  
Joshua Oare ◽  
Brady Carey ◽  
Nicholas Gaston
Keyword(s):  
Control System ◽  
Assembly Line ◽  
Cost Effective ◽  
Robotic Control ◽  
Careful Planning ◽  
Serial Port Communication ◽  
Engineering And Technology ◽  
Teachers And Students ◽  
Institute Of Technology

For our Junior Project course we worked with John Anderson, apart of the Mechanical and Manufacturing Engineering and Technology department at Oregon Institute of Technology, to build a Robotic Control System. This system would allow a more cost effective way for teachers and students to create scripts for running a robot in an industry style assembly line. The basic functionality of such a program is to allow the user to create, manage, debug, run and save scripts that will directly manipulate a connected robot. The long term goal was to have a system that will allow any kind of robot to be implemented and have our front end connect to it and work exactly the same. We accomplished this using careful planning to give it the most agile feel possible. We are also attempting to utilize a combination of Microsoft Robotics Studio and direct serial port communication to interact with a Lynxmotion Lynx6 robot.

scholarly journals Parallel MapReduce: Maximizing Cloud Resource Utilization and Performance Improvement Using Parallel Execution Strategies

2018 ◽  
Vol 2018 ◽  
pp. 1-17
Author(s):  
Ahmed Abdulhakim Al-Absi ◽  
Najeeb Abbas Al-Sammarraie ◽  
Wael Mohamed Shaher Yafooz ◽  
Dae-Ki Kang
Keyword(s):  
Cloud Computing ◽  
Performance Improvement ◽  
Biomedical Applications ◽  
Large Data ◽  
Cost Effective ◽  
Parallel Execution ◽  
Computing Platform ◽  
Execution Strategy ◽  
Large Data Analysis ◽  
Cloud Resources

MapReduce is the preferred cloud computing framework used in large data analysis and application processing. MapReduce frameworks currently in place suffer performance degradation due to the adoption of sequential processing approaches with little modification and thus exhibit underutilization of cloud resources. To overcome this drawback and reduce costs, we introduce a Parallel MapReduce (PMR) framework in this paper. We design a novel parallel execution strategy of Map and Reduce worker nodes. Our strategy enables further performance improvement and efficient utilization of cloud resources execution of Map and Reduce functions to utilize multicore environments available with computing nodes. We explain in detail makespan modeling and working principle of the PMR framework in the paper. Performance of PMR is compared with Hadoop through experiments considering three biomedical applications. Experiments conducted for BLAST, CAP3, and DeepBind biomedical applications report makespan time reduction of 38.92%, 18.00%, and 34.62% considering the PMR framework against Hadoop framework. Experiments' results prove that the PMR cloud computing platform proposed is robust, cost-effective, and scalable, which sufficiently supports diverse applications on public and private cloud platforms. Consequently, overall presentation and results indicate that there is good matching between theoretical makespan modeling presented and experimental values investigated.

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