Warehouse Zoning

A technique for laying out warehouse storage which seeks to minimize “pick” travel time by grouping the most used items closest to their point of use.

 

 

 

Walter Shewhart

Dr. Shewhart was a prominent scientist with the Western Electric Engineering Department back in the 1920s.  In 1924, Dr. Shewhart devised a framework for the first application of the statistical method to the problem of quality control.  Shewhart wrote a note to R.L. Jones, responding to his request for some type of inspection report that “might be modified from time to time, in order to give a glance at the greatest amount of accurate information”.  He attached a sample chart “designed to indicate whether or not the observed variations in the percent of defective apparatus of a given type are significant; that is, to indicate whether or not the product is satisfactory.”

Shewhart’s example was the world’s first schematic control chart.  In one short letter, he had set forth the essential principles and considerations of quality control.  As he pursued this work, Shewart gave birth to the modern scientific study of statistical process control.

In 1931, Shewhart’s book ‘Economic Control of Quality of Manufactured Product’ contained his findings on statistical sampling techniques.  A Western Electric colleague, W. Edwards Deming, spread the word on Shewhart’s work when he joined the US War Department, and later when he taught the fundamentals of quality in Japan.

 

 

 

Frederick Taylor

Frederick Taylor

 

Taylor, Frederick Winslow (1856-1915), American industrial engineer, who originated scientific management in business. He was born in Germantown (now part of Philadelphia), Pennsylvania. In 1878, he began working at the Midvale Steel Company. He became foreman of the steel plant and applied himself to studies in the measurement of industrial productivity. Taylor developed detailed systems intended to gain maximum efficiency from both workers and machines in the factory. These systems relied on time and motion studies, which help determine the best methods for performing a task in the least amount of time. In 1898 he became joint discoverer of the Taylor-White process, a method of tempering steel. Taylor served as consulting engineer for several companies. His management methods were published in The Principles of Scientific Management.

 

 

 

 

 

 

Facility Block Layout

A standard approach for creating a new production facility layout for either a green field or an existing facility is as follows:

  1. Perform PQ Analysis
  2. Preparing a Product Process Routing Matrix
  3. Develop Block Layout alternatives
  4. Optimize the size, shape, placement of the blocks.
  5. Nimawashi

PQ (Product Quantity Pareto ABC Analysis) and Product Process (find common routings in a mixed model business) are defined elsewhere. For many practitioners Block Layout seems be be either a bit of artistry or is mired in software complexities.  Here are a few thoughts on how to approach this step in the facility design process.

First a few considerations:

In a green field we know the product and process and want to determine the size of the building we need and it’s layout.  For a brown field we’re trying to make the best use of the use of the four walls we already have.  In both scenarios there are trade offs to make.  Having a decision making at the beginning of the project can save a lot of time and money.  Some will take a mathematical approach, others organic consensus.  Either way agree on the design process methodology up front.

Determine “best” layout type based on customer demand, product and processing characteristics, and business strategy.  Common layout types include:

  1. process functional – group common machines or processes together
  2. product – line up equipment in sequence of operation
  3. fixed position – for large projects where you can’t move the product
  4. hybrid – mixed model, shared monument, group technology cells

In brown field facilities the main layout consideration is often in fact moving from one layout type to another as business conditions and strategies evolve.

Determine the activity and proximity relationships between the various blocks.  A great approach for understanding relationships is the Simplified Systematic Layout Planning method by Muther and Wheeler.

paper_dollsThe Product Process Routing Matrix noted above determines the quantity and type of equipment needed.  One complication is that very expensive or large machines may need to be shared, so compromises may need to be made.  I like the table top trial and error Paper Doll approach.  Once we’ve gathered data on the importance of proximity and activity relationships between blocks, equipment footprints, maintenance and material handling access and clearance requirements, utilities, building codes, facility constraints, etc. and then we determine the gross footprint size. Now through trial and error we arrange the equipment in the block in a logical flow or sequence manner.  We then have a beauty contest and subject each alternative to a decision selection matrix where we score and rank various design factors such as compactness, adjacency (relationship closeness), least travel distance (material handling cost and speed), etc.

The number of permutations can be huge, so either use group intuition for the block details or investing in one of the current software packages such as Pro Planner, PlanOpt, Flow Planner.

 

 

 

More Kanban Calculations

Kanban Card

First listed various formulations of calculating kanban quantities in July 2006.  Here are a few more …

9.  wmarhel at Elsmar Cove writes …

The formula for calculating the number of kanban cards in a system for a particular product is:

(Daily Demand x (Run Frequency + Lead Time + Safety Time)) / Container Capacity

Where:

Daily Demand = Customer Consumption expressed as # of units
Run Frequency = Frequency which you decide to set-up and produce that item. This is expressed as a unit of time. For a five day work week, running the product every day would equal (1), every third day would equal (3), etc.
Lead Time = Manufacturing lead time (processing time + Set-up time + queue time) + lead time for kanban retrieval expressed as a unit of time.
Safety Time = Allowance for variations in demand and supply, also expressed as a unit of time. Keep as low as possible.
Container Capacity = Number of units per container (# of units in a container is always the same number).

10.  World Class Manufacturing has an on-line Kanban Size Calculator that uses the following formula:

Total Required Inventory (TRI) = Weekly Part Usage * Lead-time * Number of locations for stock
# Kanban = TRI / Container Capacity

11.  Oracle uses

By default, the standard calculation is:

(C – 1) * S = D * L

where:

  • C is the number of kanban cards
  • S is the kanban size
  • D is the average daily demand
  • L is the lead time (in days) to replenish one kanban

 

12.  SAP says …

K = ((RT * AC)/CONT) * (SF + C)

where

  • K          numbers of Kanban
  • CONT  contents per Kanban
  • RT        replenishment lead time per Kanban
  • AC        average consumption per time
  • SF        safety factor
  • C          constant (default 1)