Lead-time reduction in a high variability / low volume ...•Establish the effects of the current...

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Lead-time reduction in a high variability / low volume manufacturing environment A case study at a leading Litho-laminating manufacturer

Transcript of Lead-time reduction in a high variability / low volume ...•Establish the effects of the current...

Page 1: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Lead-time reduction in ahigh variability / lowvolumemanufacturing environment

A case study at a leadingLitho-laminating manufacturer

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Why did chose this topic?• Lead-time reduction is the predominant strategic objective for the business.• Focusing on ‘High variability / Low Volume’ allowed the

exploration and demonstration of the relevance of Lean in that environment.• wanted to test whether the fundamental principles encapsulated in Kingman’s equation and Hopp and Spearman’s ‘Factory Physics’ would provide insights that will be applicable in disparate environments.• I was interested in the topic!

Page 3: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

To what extent can ‘Lean’ assist in the understanding andimplementation of a lead-time reduction strategy in a litho-laminating packaging company?

•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times.•Identify the relevance of Lean thinking concepts such as Kingman’s equation and ‘factory physics’ to a lead-time reduction strategy at DSSP Lockerbie. •Establish lead-time reduction strategies that are relevant to DSSP Lockerbie and consistent with Lean.

Research Question

Research Objectives

Page 4: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Literature Review

•Relative lack of academic literature directly on low volume / high variety manufacturing environment – though plenty if you were prepared to dig a little deeper.•Rich veins of relevant research from Hopp & Spearman / Bicheno especially on Kingman’s Equation and Little’s Law. •Found it hard to stop, and continued finding interesting snippets even after submission.

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Current State

Started with voice of the customer……..

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Current State

Looked at internal perceptions……..

Sales Finance Planning Operations Business Improvement Quality

Average Score 3.0 2.0 2.0 1.0 3.0 3.0

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

4.0Sh

ort

Adeq

uate

Long

Exce

ssiv

e

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Current State

Canvassed opinion……..

Page 8: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Current State

Collected data……..

BoardMill

2.33 Hours

110,0931,234,911

Push

Current State Map

DSSP Lockerbie

Representative

Company Name:

Value Stream:

Garry HencherDrawn By:

02/08/2011Date:

2

Printer

Shift = 3

Avail % = 78.7

Prod % = 79.5

Qual %= 94.9

OEE %= 59.38

Set (min) = 39.5

CT = 3895 / hr

Batch = 9076

3

Laminator

Shift = 3

Avail % = 84.9

Prod % = 57.6

Qual %= 99.0

OEE %= 48.41

Set (min) = 19

CT = 2182 / hr

Batch = 7311

2

Die-Press

Shift = 3

Avail % = 63.6

Prod % = 64.2

Qual %= 99.8

OEE %= 40.75

Set (min) = 21.5

CT = 2304 / hr

Batch = 5972

3

Gluer

Shift = 3

Avail % = 79.4

Prod % = 75.0

Qual %= 99.4

OEE %= 59.19

Set (min) = 44.1

CT = 4335 / hr

Batch = 24015

Push

111,534

Push

254.25 hours

3.35 hours

16.68 hours

2.59 hours

25.73 hours

5.54 hours

Paper Mill

542,034

89.62 hours

Daily ScheduleDail

y Sch

edule

Daily

Sch

edul

e Daily Schedule

PlannerMaterials Procurement Commercial Customer

3

Despatch

Push

Push

300 Pallets

Warehouse Distribution

3600Pallets

Pull

8 hours

Conversion Lead Time = 53.89 hours

Customer Lead Time = 672 hours

Value Add Time = 13.81 hours

Conversion

Push

263.91 hours

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Current State

Value Added Time Profile……..

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Current State

Production on time performance……..

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Current State

Demand variability……..

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Current State

Product Variety……..

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Current State

Concertina Effect……..

Printer Laminator Die-press Gluer

Printers Laminators Die-Press Gluers & Finishing

D S Smith Lockerbie

1m

1m

1m

1m

1m

1m

Simplified process flow assume same feeds / hour throughput. However actual throughput rate is impacted by the number of blanks up on a sheet, therefore m2 throughput effected.

ThroughputRate m2

QueueLength

Output from process i.e. Feeds into printers, laminators, and die-press are sheets of board 1m2 while sheets are cut on die-press to 9 blanks of 0.11m2. These small blanks are feeds into gluer.

Wave moves upstream

dependent on run length

This is a visualisation of ‘concertina’ effect, similar to sinusoidal wave in non-uniform media. This will have the effect of constraining upstream processes if WIP levels exceed finite storage capacity in front of machine.

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Current State

Critical Path analysis……..

Printer

354 356

354 356

Order Placed

0 1

0 1

Laminator

610 613

610 613

Die-press

630 632

630 632

Gluer

658 664

658 664

Despatch

664 672

664 672

Repro

114 354

1 240 Earliest start & finish time

Latest start and finish time

Critical path

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Current State

Current State in summary……..•provides a fertile ground for both lean improvement activities and a strategy of lead-time reduction. •The system is characterised by excessive WIP levels as evidenced by the queues of product waiting to be processed, and the observed ‘concertina’ effect. •The current state shows that the safety buffer of 4 weeks is fully utilised. •System and operational changes are required to allow a lead-time reduction to happen without an adverse effect on service levels to customers.

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Relevence of Kingman’s equation and ‘Factory Physics’

Established critical WIP level & PWC……..

Page 17: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Relevence of Kingman’s equation and ‘Factory Physics’

Excessive WIP Levels echoing observations……..

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Relevence of Kingman’s equation and ‘Factory Physics’

What If scenarios……..

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Relevence of Kingman’s equation and ‘Factory Physics’

ahhhhhhhh……..

CTq =ca

2 + ce2

2

u1− u

te

CTq =0.81+ 0.56

2

0.61− 0.6

5.17

CTq = 5.31

CT =ca

2 + ce2

2

u1 − u

te + te

CT = 5.31+ 5.17 =10.48

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Relevence of Kingman’s equation and ‘Factory Physics’

Impact of utilisation on lead-time……..

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Relevence of Kingman’s equation and ‘Factory Physics’

Cumulative Demand / Capability……..

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Relevence of Kingman’s equation and ‘Factory Physics’

Arrivals vs. Departures……..

Page 23: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Kingman’s equation and ‘Factory Physics’ provide an insight into both the current state, and likely consequences of attempting to reduce lead-time. These fundamental principles also provide a guide to where efforts would be best placed to achieve a given outcome:•The practical worst-case / capability curve analysis provided an internal benchmark which illustrated that WIP levels are higher than required for current throughput levels.•Reducing the impact of high utilisation levels will have a large impact on lead-times. This might take the form of reducing the load by ‘smoothing demand’ (reducing arrival variation, failure demand) or increasing capacity (reducing process variation, remove waste). •Changing a buffer such as reducing the time buffer (lead-time) is likely to cause a reciprocal increase in inventory. This may absorb the effects of variability, but may result in poor performance of the system.•Focussing purely on process variation using six sigma or indeed Lean techniques is unlikely to have a sufficiently large impact on the system to allow a significant reduction in lead-time.

Relevence of Kingman’s equation and ‘Factory Physics’

Page 24: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Relevence of Kingman’s equation and ‘Factory Physics’

Arrivals vs. Departures……..

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Lead-time reduction stratagies relevant to DSSP Lockerbie

Postponement……..investment in sheeter

Page 26: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Lead-time reduction stratagies relevant to DSSP Lockerbie

Circa 2 weeks out of lead-time required for physical flow

BoardMill

2.33 Hours

110,0931,234,911

Push

Future state

DSSP Lockerbie

Representative

Company Name:

Value Stream:

Garry HencherDrawn By:

15/08/2011Date:

2

Printer

Shift = 3

Avail % = 78.7

Prod % = 79.5

Qual %= 94.9

OEE %= 59.38

Set (min) = 39.5

CT = 3895 / hr

Batch = 9076

3

Laminator

Shift = 3

Avail % = 84.9

Prod % = 57.6

Qual %= 99.0

OEE %= 48.41

Set (min) = 19

CT = 2182 / hr

Batch = 7311

2

Die-Press

Shift = 3

Avail % = 63.6

Prod % = 64.2

Qual %= 99.8

OEE %= 40.75

Set (min) = 21.5

CT = 2304 / hr

Batch = 5972

3

Gluer

Shift = 3

Avail % = 79.4

Prod % = 75.0

Qual %= 99.4

OEE %= 59.19

Set (min) = 44.1

CT = 4335 / hr

Batch = 24015

Push

111,534

Push

254.25 hours

3.35 hours

16.68 hours

2.59 hours

25.73 hours

5.54 hours

Paper Mill

48 hours

Daily ScheduleDail

y Sch

edule

Daily

Sch

edul

e Daily Schedule

PlannerMaterials Procurement Commercial Customer

3

Despatch

Push

Push

300 Pallets

Warehouse Distribution

3600Pallets

Pull

8 hours

Conversion Lead Time = 53.89 hours

Customer Lead Time = 367.98 hours

Value Add Time = 13.81 hours

Conversion

Push

1.51 hours

ConsignmentWarehouse

2

Sheeter

Shift = 1

Avail % = 80

Prod % = 80

Qual %= 95

OEE %= 60

Set (min) = 10

CT = 6000 / hr

Batch = 9076

186,000

131 Reels

Pull

Pull

Page 27: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Lead-time reduction stratagies relevant to DSSP Lockerbie

Demand smoothing / heijunka

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Lead-time reduction stratagies relevant to DSSP Lockerbie

Visibility of WIP in planning

Page 29: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Lead-time reduction stratagies relevant to DSSP Lockerbie

Vicious vs. Virtuous Circle

Long lead-times

Poor Forecasting / Demand variability

requirement to buffer against

variability

Short lead-times

Better Forecasting /

Demand stability

reduced requirement

to buffer

Page 30: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Lead-time reduction stratagies relevant to DSSP Lockerbie

Swap Buffers – increase Capacity

Page 31: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Lead-time reduction stratagies relevant to DSSP Lockerbie

Future State – Critical Path

Printer

240 242

240 242

Order Placed

0 1

0 1

Laminator

497 500

497 500

Die-press

517 519

517 519

Gluer

545 550

545 550

Despatch

550 558

550 558

Repro

1 240

1 240 Earliest start & finish time

Latest start and finish time

Critical path

Sheeter

190 192

1 3

Page 32: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

There are significant opportunities for lead-time reduction at Lockerbie, not least of which is the opportunity to compress the supply chain lead-time for board by integrating a ‘Sheeter’ into the business. While the time for the physical flow of product can be compressed, it is important to note that lead-time is equally affected by the impact of information flows. The capacity of office systems like artwork generation was mapped as part of this research, and excessive re-work loops caused by inaccurate or missing information will impact on overall lead-time if these processes are not considered.

Lead-time reduction stratagies relevant to DSSP Lockerbie

Page 33: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Conclusions

• The researcher concludes that an understanding of Lean provides a context with which to judge the potential risks and rewards of a strategy of lead-time reduction.

• ‘Lean’ gives the organisation the means to make an informed decision. It presents the Management Team with both an appreciation of the likely consequences, and the tools and techniques that will make the strategy successful.

• Without this perspective the strategy might not only prove ineffective, but could detrimentally affect customer service.

• Kingman’s equation and ‘Factory Physics’ provide general ‘laws’ that can be applied to a broad manufacturing context and still hold true. They help illuminate underlying factors that can be hidden from casual observation, helping to reveal a path to a transformation based on the appropriate use of Lean tools and techniques.

Page 34: Lead-time reduction in a high variability / low volume ...•Establish the effects of the current operations strategy at DSSP Lockerbie on lead-times. •Identify the relevance of

Recommendations for future research

• Focus on non-physical flows. • Revisit Kingman’s on installation of Shop Floor

Data Capture. • Post sheeter installation review.