Introduction
With market environments becoming increasingly competitive,
the classical manufacturing approaches are beginning to overlap in many
industries. For example, an industry traditionally operating on MTO(Make to
Order) producing High Variety Low Volume items may shift towards
standardization to reduce lead times and hence gain an edge. Conversely, an
industry traditionally operating on MTS(Make to Stock) producing Low Variety
High Volume items may shift towards increasing variety and customization.
Understanding MTO
systems
MTO systems are characterised by the entire production-in
house or vendors- takes place after the customer order has been received. They
are preferred to cater a great variety to customers, or make unique products
for customers. Some industries that typically adopt MTO systems are:
1.
Machine
tool industry
2.
Earth
moving equipment/heavy construction equipment
3.
Heavy
machinery industry
4.
Sections
of the automobile and tractor industry
5.
Electrical
equipment industry
The volume-variety combination of the product does play an
important role in determining the sustainability of the system.
General Features of
MTO industries
1.
Low
Finished Goods Inventory
2.
Labour
Specificity
3.
High
Lead Time
4.
Functional
Shop Layout
5.
Mixed
Vertical Integration
6.
Planning
and Execution Tools
7.
Difficulty
of bench marking
Case study of an Indian Component Manufacturer “A”:
Background:
‘A’ is
a machined component manufacturer in central India, producing over 300
different varieties of gears and shafts to be used in farm equipment,
commercial vehicles, and passengers. The lead ties for producing these items
could range from a week to a month, a normalized item type representing the
entire range would have an average production lead time of about 15 days.
Demand Management System:
The Sales
and Marketing(S&M) team is the main source of demand information for the
factory. Once the customer demand is either obtained or translated into exact
demands for each variety of gears and shafts, this information is then passed
on to the factory. Though the products are of medium-high variety, the
fluctuations in factory demand are largely smoothened by the S&M team. This
allows ‘A’ to avoid maintaining stocks of any of its products, and follow an
essentially MTO manufacturing approach.
Order Fulfilment Process:
A typical order fulfilment process flow for
such products is diagrammed below:
Fig. 1: Process Flow Diagram for Gear/Shaft Manufacturing
·
Forged
blanks, the main raw material for gears and shafts, are procured from external
suppliers
·
These
blanks are then sent to another supplier to perform the turning operations.
·
On
receipt of the turned blanks, the machining operations of hobbing, shaving,
deburring, profile grinding and heat treatment in that sequence are performed
on the parts. One of these, GC(a Gear Cutting operation), is considered to be
the bottleneck operation in the entire process.
·
Once
through heat treatment, the finished product comes out of the manufacturing
process, and is then despatched out in lots to the respective customers.
Problems observed:
The
factory however started facing some challenges a few years into its course of
operations.
1. WIP inventory of the factory was
increasing.
2. The Delivery dependability of the
factory had declined significantly
3. The overall factory effectiveness was
only 50-60%
Overall Equipment Effectiveness=Availability*Performance*Quality.
The
corresponding value for the best gear manufacturing firms in the industry for
the best gear manufacturing firms in the industry was 75%, so the effectiveness
was definitely below par, and indicated possible problems with one or more of
these constituent factors.
Analysis and Insights
The analysis of three situation
yielded some interesting insights and guidelines for managing such scenarios:
· Around 70-75% of the customer orders (by
volume) taken up by the SM team were ‘GC intensive’. The revenue differential
between the GC (Gear Cutting) and non-GC orders was 5-10%, and the orders were
prioritised based on the total revenue generated. Thus the orders which formed
the top 10-20% of the order book, when sorted as per ‘Revenue per GC hour’
formed the bottom 10-20%. Thus though the factory had a capacity utilisation of
~80%, the actual output capacity was only ~50-60%, which explained the observed
efficiency problem.
· ‘Critical’ and ‘Rush’ orders further
aggravated the situation. To accommodate these orders, some current orders were
removed from the production cycle and the new orders were taken up, which
resulted in a huge rise in the WIP inventory. The shop floor was also
experiencing frequent machine breakdowns. This explains the inventory and
delivery dependability problems. In fact, preventive maintenance is a very
important activity for such sectors which are highly machine intensive, and
whose operations require high reliability.
· The customer orders need to be well
balanced in terms of the operating machine hours. This requires a co-ordination
between the SM and Production teams before taking up any major order. Basically
a trade-off needs to be achieved between the gain in revenue/machine hour and
the loss of customer delivery dependability, which if not addressed could
seriously affect the company’s market position
Learnings and Inferences
Observation
|
Inference
|
Academic Basis
|
There
was a capacity constraint at the GC operation
|
The
typical constrained resource is the machine hours at a particular operation
|
Constraint
Based Planning & Scheduling(The Goal)
|
Hence
the evaluation metric was Revenue /GC hour
|
Hence
the SM team must evaluate each other’s acceptance with respect to its
‘Revenue generated per constraint machine hour’. Order scheduling on the shop
floor also needs to be done based on this metric
|
Under
the “Manufacturing Marketing Interface” in Sharma et al 2005
|
The case falls in the category of
high variety- high volume category. It offers a moderate range of product and
product design. The link between the manufacturing and marketing departments
plays an important role in deciding the workability of MTO system.
Reference:
Udyog Pragati 2012
By
Satya Swarup
Roll 89
Reference:
Udyog Pragati 2012
By
Satya Swarup
Roll 89
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