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ANNOUNCEMENT
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Developing and
Managing Contracts in Mining
Conference
16-18
March 2009
Holiday Inn
Brisbane Qld
Contract
Tendering, Negotiating and Management Strategies between Clients and
Suppliers in the Mining Industry
Greg West
Managing Director, and Chris Corben Director, Farthing West; will be
facilitating a highly interactive and practical workshop on
18
March 2008.
Topic
Managing client/contractor relationships to assist contract
negotiations
To register for the
conference contact IQPC on
02 9229 1000
or, email at
registration@iqpc.com.au
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Heijunka
A
foundational strategy of the Toyota Production System
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Professionals working in Lean Six Sigma appreciate that
Heijunka Planning is one of the foundational strategies in the Toyota
Production System. In spite of its significance, Heijunka Planning
is frequently not included in the implementation of Lean Six Sigma in
the Western World.
Heijunka is concerned with achieving smooth flow within the
factory. Effectively, Heijunka planning provides stability to the
production program by mathematically decoupling it from much of the
day-to-day and week-to-week fluctuations in market demand.
In recognising variability in demand and factoring in the
planning constraints …A Probability based Heijunka planning tool can
enable customer orders to be satisfied with significantly less stock
than traditional planning tools.
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The Planner’s
Challenge
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The combination of rules, real time stock, latest sales,
marketing sales forecasts and real time production data presents an
intellectual challenge to the Planner. There is no exact result
that can be deterministically derived by a series of linear programming
rules.
Typically the Planner uses experience to choose a practical
solution.
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Heijunka Planning
Tool
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While the Planner’s reasons for selecting a practical solution
are often intuitive, the Heijunka planning tool has a tangible goal –
stability or smooth flow in production. Thus there is a
mathematically attainable goal for optimisation. To achieve this
goal the Heijunka planning tool runs thousands of scenario daily
using Monte Carlo simulation techniques. It then selects from the
best of these results.
The output is the hourly, daily, weekly and monthly plans for
the lines.
In addition to stability of the production plan and lower
stock holding, the Heijunka planning tool provides security to the
business because planning constraints are explicitly captured and are
not reliant on person centred experience.
Many of the rules used by the Planner and other key
operational persons can be captured through an interview process.
However, there are other planning rules that will be “tacit”. That
is, they are used by the Planner but remain unspoken – often because
the Planner only understands them at an intuitive level.
Over time the Heijunka planning tool captures and incorporates
these rules.
By interrogating the output of the Heijunka planning tool with
the Planner and other key operational persons and comparing them to
the decisions the Planner would recommend, these “tacit” rules will
be exposed. Through this process the sophistication of the Heijunka
planning tool rapidly improves as more and more of the planning
constraints are incorporated into the algorithm.
The smoothing of the production plan that results from
implementing Heijunka planning will decouple the plant from the
higher variability of the market pull. The introduction will be based
around the practical ability of the plant to change from product to
product.
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A Practical
Approach
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In the initial
phase, Heijunka planning focuses on increasing the level of
confidence and reliability of batch runs (time and quantities of
actual versus plan). This requires disciplined planning, including
the establishment of realistic production rates.
In the journey
towards Lean, it is sensible to focus attention on reducing the
changeover times on the lines. The maximum benefit of Heijunka planning
is achieved by the relentless focus to “make every SKU in smaller
quantities more often”. Shorter changeover times and shorter runs
result in smaller overall stock fluctuation, increased flexibility to
react to varying demand and a more balanced stock position across all
SKUs.
Heijunka
planning is also aided by maintaining stable production crews, the
systematic load balancing of individual jobs (and their
standardization), a focus on producing quality at the source,
eliminating bottlenecks and identifying “sweet operating points”.
The process of implementing an efficient Heijunka planning
algorithm to perform accurate daily operational decisions also
requires a reliable set of electronic data, covering real time stock,
latest sales, marketing sales forecasts, real time production data.
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Key Performance
Indicators
(KPIs)
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In helping
clients through the introductory phase Farthing West also assists in
developing an in-depth understanding of the actual constraints that
have limiting / conflicting impacts on individual lines and current
planning strategies. Initially we validate the first key Heijunka
planning outputs in “manual” mode. This includes the development of
specific KPIs relevant to manage both the planning process in
particular but also the business. These KPIs include a graphical
representation of stock history by SKU (in units and in days), by
product family (or line, whichever impacts on constraints) and the
graphical representation of sales, trends and forecasts.
Example of overall stock tracking KPI:

Example of stock profile tracking KPI.
This graph is used for individual SKU tracking or
any grouping (such as per line).

Example of production rate optimization versus actual market
demand.
This graph enables management to adjust the
resources across all areas of the factory on a daily basis.

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More …
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Please contact us, or our business partner Quantum Business Enterprises for
more information on Heijunka Planning.
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