White Paper Multiple Activity Charts Multiple Activity Charts (or Multi-Activity Charts) are a very useful tool for understanding the flow of work in a cyclical process and as a consequence understanding which resource is controlling the overall progress of the work. The tool can be used to model different scenarios to determine the optimum mix of resources for the work. The example below is based on using a tower crane to lift concrete from the street to a high floor for placing. Each resource
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item being studied for compliance to a Quality Standard. Here it is a dimension such as the contents of a jar of fruit jam‚ the size of a pair of shoes etc. These are called X-bar and R charts. One calculates X-bar-bar and R-bar averages and these are the centre lines of the SPC run-charts that will be drawn. The charts MUST have these centre lines PLUS upper and lower control AND range limits. The points on these graphs MUST be joined so that a reader can follow the level of quality versus centre lines
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The Goal‚ A Process of Ongoing Improvement‚ was written by Eliyahu M. Goldratt. The Goal was written and published in 1984. It is a business novel that discusses the theory of constraints through a plant manager’s perspective. The Goal was not intended to be part of a series. However‚ in 1994 Goldratt published a sequel‚ It’s Not Luck. It’s Not Luck explores the theory of constraint in a variety of industries. According to Goldratts online biography‚ the author‚ obtained his Bachelor of Science degree
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CONTROL CHARTS FOR VARIABLES TUTORIAL 4 : CONTROL CHARTS FOR VARIABLES 1. Control charts for X and R are to be established on a certain dimension part‚ measured in millimeters. Data were collected in subgroup sizes of 6 and are given below. Determine the trial central line and control limits. Assume assignable causes and revise the central line and control limits. SUBGROUP NUMBER 1 2 3 4 5 6 7 8 9 10 11 12 13 X 20.35 20.40 20.36 20.65 20.20 20.40 20.43 20.37 20.48 20.42 20.39 20.38 20.40
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1: The mean time to clean a motel room is 15.0 min and the standard deviation is 1.6 min and the data are normally distributed. a. What percentage of the rooms will take less than 12.0 min to complete? Answer: 0.0301% Reasoning/Work: from my understanding I subtracted 1.8 from 1.88 which is my answer = .08 then I found the answer on the table b. What percentage of the rooms will take more than 21.0 min to complete? Answer: 0 % Reasoning/Work: the answer is 0. c. What percentage of
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SPRITE CHART: Shang China Setting: 1. China 2. Yangtze River 3. The seasonal monsoon winds that blow north from the Indian Ocean over Asia produce vast amounts of rainfall in the Himalayan Mountains and the Tibetan Plateau. Some of this water‚ along with rich sediments‚ flows across the Chinese Plain creating fertile farmland. The fertile areas of Eastern China are surrounded by deserts‚ vast steppes‚ high mountains and impassible jungles. 4. Tall hills helped keep out invaders. Fertile
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Chapter 5: Flow Rate and Capacity Analysis 5.1 Objective Chapter 3 introduced the three basic building blocks of process flow namely the (average) flow time‚ (average) flow rate and (average) inventory. It is followed by a sequence of three chapters‚ 4‚ 5 and 6‚ which examine each one of these measures individually. Chapter 5 is concerned with flow rate analysis and issues of capacity. The major managerial concept discussed in the in the chapter is that of the bottleneck. We use the notion
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Control Charts Control Charts are use to distinguishes between specialcause or common-cause of variation that is present in a process. There are two basic types of control charts:- Variables - Quantitative data (Measured) Attributes - Qualitative data (Counted) Variable Control Charts Use actual measurements for charting Types:- Average & Range charts Median & Range charts Average & Standard deviation charts Individual & Moving Range charts Run Charts Attribute
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to attain a desired result result. Control : To make a process behave the way we want it to behave. DRZ CONSULTANT 3 Key Concept K C t • construct control charts so that we can monitor important features of data over time whether some process is statistically stable (or within statistical control). 4 • use such charts to determine h h t t d t i DRZ CONSULTANT Key Concept K C t A common goal of many different methods of quality control is to Reduce variation in a product or
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increasing‚ allied to this‚ production costs are also escalating. This is the reason innovative engineering solutions are required in this market. Increasing the capacity in sugar production does not only radically change the energy balance of a factory‚ but also in- fluences the quality of the product. GEA PHE Systems therefore offers you a state-of-the-art and carefully matched range of equipment for evaporation‚ condensation and general heating/cooling. Thus inputted energy can be fully exploited
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