metrics, kpis, and process insights – implementing high performance manufacturing intelligence

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Metrics, KPIs, and Process Insights Implementing High Performance MI A Conversation with John Jackiw MESA Metrics Committee Team Leader Alta Via Consulting

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John Jackiw discusses the optimal strategies to identify and organize the right metrics and use the right analytics to produce the actionable information needed for best-in-class performance. As recent MESA studies show, the best performing companies most aggressively use manufacturing process metrics to guide decision making. Informed operations and management decisions will push both routine operations and strategic activities to the highest performance levels. High performance management depends upon actionable intelligence based on the right information. Producing that information depends upon selecting the right metrics and identifying the right data sources. The first step is to review the available metrics as process parameters in general and determine which are Key Performance Indicators (KPI) in particular. The second is to determine which data is needed. While the easy choice is to use accessible existing data, a more thorough analysis can direct the company to seek out the data that is really critical to understanding process performance. Our Presenter: John Jackiw is Business Development Manager at Alta Via Consulting. He is an active member of MESA International where he is a founding member of the Global education team, a MESA Authorized Instructor (MAI), and serves on the metrics committee as team leader and project manager of the MESA publication “Metrics Framework and Guidebook 2nd Edition”. Recording - http://bit.ly/1036YlQ

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Page 1: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

Metrics, KPIs, and Process Insights –

Implementing High Performance MI

A Conversation with John Jackiw

MESA Metrics Committee Team Leader

Alta Via Consulting

Page 3: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

Three Layered Model

CorporateFinancials

Aggregated Financial& Operations Metrics

Operations-level KPIs &Dynamic Performance Metrics

First-pass yield

Process capability per plant (CpK)

Scrap/rework as percentage of sales

Customer reject rate (PPM)

Warranty costs

Manufacturing cycle time

Overall equipment effectiveness (OEE)

Customer fill rate/on-time delivery

Cash Flow

Net operating profit (value of shipments less material & mfg cost)

Productivity in revenue per employee

Earnings before interest, taxes, depreciation and amortization (EBITDA)

Customer Satisfaction

ROA/RONA

Labor cost per unit

Percentage planned vs. emergency maintenance work orders

Hours of overtime per week

•Average days WIP inventory

•OSHA-reportable incidents/year

•Etc, etc, etc…

In

creasin

g a

gg

reg

ati

on

External

Financial

Accounting/

Reporting

Conventions

Internal

Management

Accounting

Page 4: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

Manufacturing companies typically have

disconnected operations and finance. RCA is a

Tool that brings together real-time solution,

together with a quantity-based - cause and

effect methodology.

Unlike MES or ERP packages alone, our solution

leverages both worlds and enables better

decisions for both production and finance.

Solution Summary

Page 5: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

What is RCA??

Action Relies on Resource Consumption Accounting

Page 6: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

Demand driven planning with capacity

sensitivity

Built with RCA (Resource

Consumption Accounting)

methodology as a foundation

Easily understand the resources

your line/area are consuming.

Empower your managers

with common understanding

Quantity-Based Approach

Page 7: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

Corporate Headquarters

MANAGERIAL ACCOUNTING –

MULTI-LEVEL P&L

7

Plant Labor

Direct

Materials

Capacity

240 Hrs.

Capacity

240 Hrs.

Capacity

Unlimited 1 lbs. per unit

4 hrs. per unit

2 hrs. per unit

80 hrs. per month

80 hrs. per month

30 hrs. per month

80 hrs. per month

Plant

Maintenance

Calculated based

on production

$300 $1.25

per unit

$200 $0.83

per unit

$10

per unit

Proportional Cost

Fixed Cost

7

Corporate P&L

Plant P&L

Product P&L

Materials

Proportional Cost

Fixed Cost

xx

xx

xx

Idle Labor

Fixed - Training

xx

xx

Fixed HQ Reporting xx

Revenue xx

Product Margin xx

Plant Margin xx

Corporate Margin xx

RCA Institute All Rights Reserved

Alignment Achieved

Page 8: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

The Storyboard

For Illustration ONLY

Page 9: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

“Progressive Insights” Drive Needed Changes

© 2011 Atos Origin. All Rights Reserved.

Page 10: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

Questions?

A Conversation with

John Jackiw Alta Via Consulting

Link to Recorded Webinar

Page 11: Metrics, KPIs, and Process Insights – Implementing High Performance Manufacturing Intelligence

John Jackiw Team Leader, MESA Metrics Committee

Business Development Manager

Alta Via Consulting

Tel: (708) 638-5206

Email : [email protected]