Framework for Applying Six Sigma Methods within Environmental Management

Kralikova, Ruzena; Rusko, Miroslav; Wessely, Emil

doi:10.2507/daaam.scibook.2012.45

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Irrespective of the definition of the service level, we apply the resulting value in a consistent way. Z SL means the probability value of the SL service level from the standard normal distribution table [32,33].…”

Section: Determination Of Service Levelmentioning

confidence: 99%

The Effect of the Safety Stock on the Occurrence Probability of the Stock Shortage

Korponai

Tóth

Illés

2017

Management and Production Engineering Review

View full text Add to dashboard Cite

The objective of the logistics management is to guarantee the stock level required for the adequate handling of production at the lowest possible level of costs and risks. The main purpose of the paper is to present the relations between stock level and risk of shortages. As a result of the research, the introduction of the safety stock is the solution to cover the effects of the uncertain factors in the supply chain. The theoretical approach of the model assumes a deterministic operational environment, in practice, however, there are several unpredictable factors influencing the operation of the production company. By using the periodic and continuous review models, the paper presents the effects of demand changes and stochastic length of replenishment time on the risk of stock availability. We need to quantify a service level which determines the accepted probability of the shortage occurrence.

show abstract

Section: Determination Of Service Levelmentioning

confidence: 99%

The Effect of the Safety Stock on the Occurrence Probability of the Stock Shortage

Korponai

Tóth

Illés

2017

Management and Production Engineering Review

View full text Add to dashboard Cite

show abstract

“…In case of an analysis of an adequate number of samples, the deviations will be typically situated along the probability density function of a standard normal unimodal distribution (figure 3). In case the partners have agreed on a maximum number of allowed deviations, the respective range of accepted deviations can be defined in the form of lower and upper tolerance values [8]. The well-known distribution and density functions popular in production management and quality management circles for the presentation of quantity features of certain products can be used in logistics as well.…”

Section: Fig 2 the Relationship Between Utilization Demands Of Different Extents And Stock Levelsmentioning

confidence: 99%

“…Irrespective of the definition of the service level, we apply the resulting value in a consistent way. Subsequently, we must define the utilization demand expected for the next period: = × ̅ (8) where μthe expected value of demand, ̅average level of demand during the given period.…”

Section: Fig 4 Periodic Review In Case Of Stochastic Change Of Demandsmentioning

confidence: 99%

The Effect of the Demand-Changes on the Inventories

Korponai¹,

Bányai²,

Illés³

2016

DAAAM Proceedings

View full text Add to dashboard Cite

When the future customer demands can be exactly quantified, the level of the closing stock, the quantity of the placed order and the actual date of the order can be clearly defined with the knowledge of the initial stocks, the production demand and the restocking of supplies. However, this initial condition is very rare in practice. There are several unpredictable factors influencing the stock level that will affect the operation of the production company. The objective of the logistics management is to guarantee the stock level required for the adequate handling of production at the lowest possible level of costs. The definition of the service level provides an opportunity to handle the fluctuation of demands due to different impacts with a predetermined safety, and to quantify the stock level required for the operation.

show abstract

“…The limit is usually determined as three times the standard deviation from the mean in both possible directions. In case of higher stability, the set tolerances may be lower [7] [9] [13].…”

Section: Input -Requirements For Controlmentioning

confidence: 99%

Optimization of the In-Process Control Process Using Six Sigma Methods and Tools

Januska¹,

Faifr²

2017

DAAAM Proceedings

View full text Add to dashboard Cite

Presented paper deals with optimization of technological processes, particularly it is focused at quality control. Quality measuring is fundamental for any quality or process improvement. "If is not possible to measure it, it is not possible to manage it." In general it is possible to say that quality is measured at the process input, during the process (in-process control) and at the process output. This paper is focused at the in-process control and its quality itself. Paper presents the case study of optimization of the in-process control by using Six Sigma methods and tools in company producing medical technology and medical products in Czech Republic. Firstly, the description and analysis of in-process control is carried out, while the problem-causing factors are examined. Based on these findings, the proposals for process optimization follow. According to methodology, the DMAIC cycle is completed by the evaluation of process performance, where partial process performance indicators are designed.

show abstract

Framework for Applying Six Sigma Methods within Environmental Management

Cited by 4 publications

References 0 publications

The Effect of the Safety Stock on the Occurrence Probability of the Stock Shortage

The Effect of the Safety Stock on the Occurrence Probability of the Stock Shortage

The Effect of the Demand-Changes on the Inventories

Optimization of the In-Process Control Process Using Six Sigma Methods and Tools

Contact Info

Product

Resources

About