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  1. The Water Spider picks up raw material from the warehouse (filling station) and delivers the raw material to the manufacturing workstations. The Water Spider then picks up the empty containers from each workstation and delivers them back the warehouse to be refilled. This is the Water Spider run or route. Each container is refilled with standard quantities. The standard quantities delivered must last just long enough for the Water Spider to arrive on the next run. The Water Spider run may take 20 minutes to complete. That means each workstation will have 20 minutes of raw material delive
    2 points
  2. Benchmark Six Sigma Expert View by Venugopal R One of the main intent for executing a project using the six sigma methodology is to guide a team through a disciplined approach to solve a problem in a highly objective manner. Various terminologies have been coined to reinforce the disciplined approach. “Process Door” and “Data Door” are terms used to broadly classify the approach to be used during the Analyze phase. Ironically, though one of the approaches is termed as “Data Door”, it does not mean that the “Process Door” will not use Data! Effectiveness and Efficiency Fir
    2 points
  3. While all the published answers are correct, the two that stand out are Dan Weigel's and Sudhir G's. Dan's answer is succinct while Sudhir's covers various elements along with examples. Hence both have been selected as the winners! Congratulations!!
    1 point
  4. Water Spider in Lean Manufacturing. Productivity is the biggest objective of the Lean Manufacturing philosophy. There are so many aspects in lean to achieve productivity which leads to Profitability and Growth to organization. Water spider plays the important role in lean to improve productivity. Who is the water spider in lean? AS the term suggest a water spider in lean is the person skimming all around the shop floor and entering in any cell as per requirement. He not only enters there but also helps the operators for small challenges they are facing.
    1 point
  5. Water Spider (or Mizusumashi) is one of the keys to successful Lean manufacturing. Mizusumashi is a Japanese term for water spider. These species of spiders have an ability to work between water and air. In manufacturing, it is about the ability to move quickly between production and logistics to all spots whenever required. It helps by eliminating the waste of transportation mostly. This is majorly achieved through 1. Sorting into small quantities of big orders 2. Usage of any device that eases the movement through picking these small quantities
    1 point
  6. 'Mizusumashi' is a Japanese term for 'Waterspider'. Waterspider is an aquatic animal that moves in the water quickly changing its direction as required. The behavior of a Waterspider is adapted and is a common practice in manufacturing industries. Thus Implementing a water spider is a great way to put the value and principles of Lean Manufacturing into practice. Manufacturing Industries create a role called as Waterspider whose main job responsibility is to ensure all materials are supplied to where they are needed. The main objective is to have other workers de
    1 point
  7. What is a Water spider (or Mizusumashi) The Water Spider (“Mizusumashi”) System is one of the improvement specialties in internal logistics flow. This Japanese word indicates “water beetle,” and this internal logistics worker is often called a “water spider” in English. This term probably was chosen for this concept because of the water beetle’s agility as it swims across the water. Here a mizusumashi is a logistics worker who does the internal transportation of goods using a standard fixed cycle route. The Water Spider is a critical element of the creation of internal
    1 point
  8. In parametric statistics, when we have to compare means of two samples there are several test where 2 samples are dependent and independent 2 Sample T Test are used to compare the means of 2 sample which are not dependent on each other and have equal variance (determined by F test) which is normally distributed. Example: If we want to compare performance of two team (sales performance) Comparing the runs scored by two different team Outcome of a drug testing on 2 independent groups Wherein Paired Sample T test is performed to compare means of 2 samp
    1 point
  9. Benchmark Six Sigma Expert View by Venugopal R When we have to compare the averages for two samples, it could be for different reasons: 1. To estimate whether two existing populations are different with respect to their average values of the characteristics of interest. Examples: To compare the average life span of bulbs produced by two different companies Average marks scored by male students vs that of female students 2. To estimate whether the effect of some change on a given population is significant or not. Examples: Performance of
    1 point
  10. Two Sample T Tests are statistical tests that are used to compare the mean values of two independent samples/groups to determine if there is a significant difference between the means of 2 samples in reference. Two samples are considered to be independent if the selection of individuals/objects of one sample does not influence the selection of individuals/objects in the other sample in any way. The data from both samples should be normally distributed to apply the Two Sample T Test. On the other hand, a Paired T Test is a statistical test that is used to compare the mean values of
    1 point
  11. In any hypothesis testing we have to decide on the level of significance which is denoted by alpha. This is important as failure to choose correctly null hypothesis can cause Type 1 error. IF α is small - There is lass chance of incorrectly rejecting a Null hypothesis (H0) Since the power is low this decreases the chance of detecting an effect if one exists IF α is Large - There is a higher chance of incorrectly rejecting the Null hypothesis (H0) Since the power is high there is high chance of detecting the effect To Select α for a Hypothesis test
    1 point
  12. The Process Door and Data Door In DMAIC process, analysis phase is very important phase to analysis the data and there are many tools & techniques which are used for analysing data however some challenges to use right tool & techniques in right situation. Process door and data door are useful to divide the analysis phase into two section which is useful to get the actual analysis. Process Door Process door apply to a section of tools & technique that help to understand and get a clue from process directly. below tools generally use in process door 1.
    1 point
  13. In order to answer the question 'Why is the problem occurring?", below steps are done in Analyze phase 1. List all potential causes 2. Analyze potential causes 3. Identify critical causes There are 2 approaches that can be deployed for analyzing potential causes. I have summarized both in the table below P.S. the usage of tools is not exclusive i.e. tools can be used either for process or data door depending on the situation. The table only highlights the preferred or the most commonly used tools.
    1 point
  14. In Analyze phase of DMAIC, Xs’ (or causes) are identified basis different methodology of which Brainstorming is widely used. Post identification of X’s prioritization of X’s are done, where impact of X’s are studied over Y (effect). Prioritization could be performed by 2 ways “Data door or Process Door” Data door- For all the X’s where data is quantitative in nature (which can be measured). Data door method is taken. Commonly used tool for Data door approach are: Graphical Analysis: Trend Chart, Run Chats, Control Chats, Histogram etc Hypothesis Testing: Annova, Regr
    1 point
  15. Let us consider two numbers a and b where a is greater than b. If the ratio of the sum of these numbers (i.e. a+b) to the larger number (i.e. a) is same as the ratio of the numbers (i.e a is to be), then these two numbers are said to be in a Golden Ratio. Golden Ratio => (a+b) / a = a / b This is denoted by Greek letter phi ( or ). This ratio comes to an irrational number = 1.618 Applicability of Golden Ratio is found in 1. Nature - sunflower, position of leaves 2. Architecture 3. Art 4. Music 5. Technical Analysis of Stocks
    1 point
  16. The curse of dimensionality refers to various phenomena that arise when analyzing and organizing data in High dimensional spaces that donot occur in lower dimensions like 3D physical space of every day life. Dimensionally cursed phenomena occurs in sampling, numerical analysis, data mining , machine learning and databases. The common theme of these problem is when dimensionality increases, volume of space increases and available data are sparse.This becomes problem for any method that requires statistical significance. In order to obtain a statistically sound and reliable results the
    1 point
  17. What is a Block Diagram? A block diagram is a specific, high-level flowchart utilized in engineering, hardware design, electronic design, software design, and process flow diagrams. It is used to design innovative systems or to describe and enhance existing ones. The block diagram represents, at a sketch level, how a process flows from function to function or from unit to unit within an establishment. The diagram uses blocks to reflect the essential activities and links them together by connecting lines representing elements or communication flows. Essential Components of a Block Dia
    1 point
  18. CTQ (Critical to Quality) Tree is used to drill down to a more concrete project goal. It starts with wider project goal and works downwards to identify “Critical” factors that is required in achieving the goal. In simple words drill down generic goal, identify specific and measurable necessities to improve performance. It translates customer needs to Meaningful, Measurable, and Actionable metrics. Approach: Step 1: Identify Critical Needs "What is critical for this product or service?" Brainstorm needs with key stakeholders Step 2: Identify Quality Requi
    1 point
  19. I observed that the scope of six sigma has increased it is now applicable in many industrial sectors. When Bill Smith created this methodology his main focus was defect reduction and improvement which brings excellence and process improvement, later on Quality formed the core of other methodology/framework too. I have seen that the approach of employees toward quality management has not yet changed, they still consider this as the job of quality unit, as for them quality means compliance, reporting, QMS manual and most importantly Audits. I found that organizations are spen
    1 point
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