scholarly journals Effective implementation of ISO 50001 energy management system

2017 ◽  
Vol 9 ◽  
pp. 184797901769871 ◽  
Author(s):  
Leen G Mkhaimer ◽  
Mazen Arafeh ◽  
Ahmad H Sakhrieh
Keyword(s):  
Energy Management ◽  
Six Sigma ◽  
Management System ◽  
Price Volatility ◽  
Lean Six Sigma ◽  
Energy Management System ◽  
Effective System ◽  
The Right ◽  
And Control ◽  
Six Sigma Approach

Organizations are spending large amounts of money on their energy consumption. The scarcity of energy resources, along with their price volatility, has become a major concern for all industries. Consequently, the need for managing and conserving energy has recently gained larger attention. A good management always pursues savings opportunities with minimum investments; hence, establishing an energy management system can provide the right approach to detect opportunities and sustain improvements. This article proposes the Lean Six Sigma energy management model (LSS_EnMS) based on the framework of International Organization for Standardization (ISO) 50001 for energy management, supported by the LSS approach define, measure, analyse, improve and control (DMAIC). The LSS_EnMS model applies the DMAIC approach to the energy management process in companies and incorporates the needed tools to define system requirements, analyse energy data, establish a systematic approach to identify energy opportunities and finally to guarantee sustainable system improvements. The model has shown the compatibility of Six Sigma approach with the ISO 50001 framework and has provided guidelines for effective system implementation. A prominent pharmaceutical company in Jordan was taken as a case study to show the significance of this model, and how this approach can lead to valuable and advantageous results in terms of real case application.

scholarly journals A Lean Six Sigma approach to the improvement of the selenium analysis method

2012 ◽  
Vol 79 (1) ◽  
Author(s):  
Bronwyn C. Cloete ◽  
André Bester
Keyword(s):  
Six Sigma ◽  
Laboratory Data ◽  
Lean Six Sigma ◽  
Controlled Experiment ◽  
Test Method ◽  
Analysis Method ◽  
Pareto Chart ◽  
And Control ◽  
Six Sigma Approach ◽  
Selenium Analysis

Reliable results represent the pinnacle assessment of quality of an analytical laboratory, and therefore variability is considered to be a critical quality problem associated with the selenium analysis method executed at Western Cape Provincial Veterinary Laboratory (WCPVL). The elimination and control of variability is undoubtedly of significant importance because of the narrow margin of safety between toxic and deficient doses of the trace element for good animal health. A quality methodology known as Lean Six Sigma was believed to present the most feasible solution for overcoming the adverse effect of variation, through steps towards analytical process improvement. Lean Six Sigma represents a form of scientific method type, which is empirical, inductive and deductive, and systematic, which relies on data, and is fact-based. The Lean Six Sigma methodology comprises five macro-phases, namely Define, Measure, Analyse, Improve and Control (DMAIC). Both qualitative and quantitative laboratory data were collected in terms of these phases. Qualitative data were collected by using quality-tools, namely an Ishikawa diagram, a Pareto chart, Kaizen analysis and a Failure Mode Effect analysis tool. Quantitative laboratory data, based on the analytical chemistry test method, were collected through a controlled experiment. The controlled experiment entailed 13 replicated runs of the selenium test method, whereby 11 samples were repetitively analysed, whilst Certified Reference Material (CRM) was also included in 6 of the runs. Laboratory results obtained from the controlled experiment was analysed by using statistical methods, commonly associated with quality validation of chemistry procedures. Analysis of both sets of data yielded an improved selenium analysis method, believed to provide greater reliability of results, in addition to a greatly reduced cycle time and superior control features. Lean Six Sigma may therefore be regarded as a valuable tool in any laboratory, and represents both a management discipline, and a standardised approach to problem solving and process optimisation.

scholarly journals Design and Implementation of Smart Home Energy Management System Based on GSM Network

2017 ◽  
Vol 2 (3) ◽  
pp. 202-211 ◽  
Author(s):  
Noor H. Saleh ◽  
Bilal A. Mubdir ◽  
Asaad M. M. Al-Hindawi ◽  
Adel H. Ahmed
Keyword(s):  
Mobile Phone ◽  
Energy Management ◽  
Personal Computer ◽  
Management System ◽  
Energy Management System ◽  
Home Appliances ◽  
Home Energy Management ◽  
Gsm Network ◽  
Home Energy Management System ◽  
And Control

The aim of this research is to design and implement a prototype of a home energy management system based on SMS service on GSM network. The proposed system can remotely monitor and control the home appliances using a mobile phone. The proposed system consists of a microcontroller connecting home appliances and lighting through sensors and relays. The microcontroller is also connected with a GSM module to support this system operate with an existing GSM network. This system is implemented using a GSM module that is connected with the personal computer representing the designed microcontroller. The home appliances, sensors and relays are modeled and simulated using Visual Basic programs. Software programs are developed and built into the personal computer to activate and control the home appliances according to received commands from the user mobile phone or to monitor and send their status to the mobile phone according to user request. The implemented system is tested practically with several cases at different times and it operates successfully with reasonable flexibility and secure operation. A good compatibility of the developed programs is achieved, since the system is running continuously without interruption under normal conditions of GSM network operation. It is found that the execution times for control and monitoring massages are 19.63 seconds and 19.33 seconds respectively.

Design of a Smart Green Energy Management System Based on DMX512 Protocol

2013 ◽  
Vol 479-480 ◽  
pp. 1032-1037
Author(s):  
Shinn Fwu Wang ◽  
Yi Zhan Su ◽  
Yi Chu ◽  
Yuan Fong Chau ◽  
Jeng Hua Wei ◽  
...  
Keyword(s):  
Energy Management ◽  
Management System ◽  
Low Cost ◽  
Green Energy ◽  
Energy Management System ◽  
Real Time Control ◽  
Time Control ◽  
Color Mixing ◽  
Different Color ◽  
And Control

In this paper, a smart green energy management system based on DMX512 protocol that is established by United States Institute for Theatre Technology (USITT) is proposed. The end user can monitor and control the LED lamps and electric powers according to the information received from the sensors by means of the channels of DMX512. In addition, the different color lights including red, green, and blue lights can be achieved by means of the color-mixing methods of red, green, and blue LEDs based on photometry theory. As a matter of fact, there have been attracted much attention on the mobile devices in recent years. In the study, a mobile device with an Android platform is used to control the electric power and LED lamps according to the information received from the ZigBee module immediately. However, the smart green energy management system based on DMX512 protocol has some merits, such as in real-time control, easy operation, low cost, etc.

Combined Usage of Theory of Constraints, Lean and Six Sigma in Quality Assurance of Manufacturing Processes

2015 ◽  
Vol 637 ◽  
pp. 21-26 ◽  
Author(s):  
Lesya Demchuk ◽  
Roman Baitsar
Keyword(s):  
Quality Assurance ◽  
Six Sigma ◽  
Lean Six Sigma ◽  
Theory Of Constraints ◽  
Manufacturing Processes ◽  
Production Processes ◽  
Significant Damage ◽  
Effective System ◽  
Speed Up ◽  
And Control

Classic intention, which pursues the management of any company – is to improve the quality and competitiveness of its own production, aiming at the end to speed up the receiving of profit. Such an implementation is primarily made possible by optimizing production processes. The manufacturing processes are influenced by various factors that may lead to deviations from the process requirements. Management of processes is needed to counteract such change in the process.Processes that are not managed, can lead to the production of a large number of defective products earlier before the detection of nonconformity, causing significant damage and lead to disruption of production schedules. It is important to develop an effective system of management and control, capable of detecting variations in the process as early as possible so you can take corrective action before it is produced by a large number of defective products. To optimize production processes in quality assurance the following systems have been known as Theory of Constraints, Lean, Six Sigma. Typically, these systems are used separately. However, their combination and comprehensive utilization can be more efficient and can give a much better result.As a rule, first by using Theory of Constraints (TOC) the bottleneck is defined – weak area, which is an obstacle of improving of the quality and efficiency of the company and profit increasing. Then Lean tools manage this area. And the next phase includes Six Sigma, which allows you to receive a significant increase in the effectiveness and efficiency of production and profit.Each of these techniques is unique and their complex usage is important in managing the quality of processes and products.

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