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  1. Where should the loss and waste analysis be focused and how do you define the scope? In other words, where do I start?

At the outset of the analysis, you need to determine where the primary emphasis will be. Consider the following:

    • If you have a capacity constrained process, the primary focus will be on bottleneck operations and complete asset utilization, whilst also assessing the key cost drivers
    • If you’re focused on competitive pricing challenges or your costing within a network, hence a cost-out focus, this tends to require a much deeper look at the primary cost drivers and they’re affected by reliability, and process flow and control
    • If it’s orientated toward service levels, you’ll need to look at flexibility and material flow predictability

Finally, quality usually always features, whereas labor productivity is seldom a focus area. That said, labor productivity is usually an upside of the above focus areas.

Download the Waste Walk Guide to learn more about the types of waste to look out for during your waste walk.

The different levels of a loss and waste analysis

To define the scope, it’s important to understand the different levels of an LWA. I’ve purposely listed them from Line to Network level to illustrate the thinking.

Level: Line
High flex
Primary focus Typical deep dive (example) Typical actions (example)
Fast changeover

Right first time

Plan adherence

Setup standards

Equipment reliability

Changeover waste

Skills

SMED

Equipment reliability

Planning wheel

Long runs
Primary focus Typical deep dive (example) Typical actions (example)
Stop the stops

Cost

Unit conformance

OEE

Process capability

SPC

SKU variation

Material losses

Key variation

Checkweigher feedback loops

Cp, Cpk rapid actions

Reliability Centered Maintenance (RCM)

Continuous process
Primary focus Typical deep dive (example) Typical actions (example)
Mass balance

All stoppages

Process Standards

Process consistency

Correlations analysis

Maintenance practices

Process constraints

Process conditions, predictive adjustments

RCM

Short interval control on constraints

Batch process
Primary focus Typical deep dive (example) Typical actions (example)
CIP

Yield

Process batch limits

Time losses

All process consistency and constraints

Maintenance practices

Material yield

Planning wheel

RCM

Operating standards and controls

Level: Plant(s)
Make only
Primary focus Typical deep dive (example) Typical actions (example)
E2E material flow

Cost

Capacity

VSM

Planning

Capacity design and utilization

All causes of downtime

Material yield

Daily Operational Reviews (DORs)

Planning interfaces

Supplier performance

Regional hub
Primary focus Typical deep dive (example) Typical actions (example)
Service commitment

Customer, cash, cost balance

Network interfaces

Inventory levels (push/pull)

Loading, plan stability and reliability

Responsiveness and agility

New product launch

Make effectiveness

Inventory optimization

Level: Network
Demand-driven Network
Primary focus Typical deep dive (example) Typical actions (example)
Cost to Serve

Availability to Promise

Competitive positioning

Integrated Business Planning (IBP) cascade

Transport utilization

Service levels

ABCD

Supplier performance

3rd party logistics

Note: We do not do network analytics in the LWA

Market/Product consolidations  

ABCD process standards and routines 

Should be variation 

IBP cascade 

  1. Is there a standard methodology or approach?

In the Make environment, we look end to end, or E2E (from inbound materials to outbound materials, excluding purchase price and some of the Distribution Requirement Planning (DRP) – but one should look at all aspects that influence the conversion efficiency related to the process type and competitive needs. And because the LWA is designed to drive an actionable outcome, we ask two primary questions: Is it capacity/service constrained, or cost-out focus? Asking these questions will help direct the analytical effort. We also look at all waste as defined by traditional Lean methodology, and loss from a zero-base.

By defining the high-level waste potential, we can drill deeper to understand the specific losses and wastes to a greater extent, or identify hidden waste in the case where data has perhaps under-reported losses. An example of this would be material yield allowances, allowances in production run rates, and planning factors. Various tools and data extracts are used to get to causality.

Where time allows, causality can then be further investigated and validated through observations, focus discussions or even controlled experiments.

  1. What data should be used, and what happens when the data is not available or trustworthy?

Data is often an issue, but line observations, supported by high-level data and extrapolations can help. This can be supplemented by introducing measurement to build a data set over a few weeks. In terms of ongoing daily metrics and visual management for the teams to gain better insight and control of a process, a measurement system must be installed.

In my opinion, low-tech does not mean inaccurate; manual data will usually give indications of priority focus areas. Digital tools or measurement simplify these manual entries and may give more granularity and insight. However, when coaching teams to interpret automated metrics, understanding must be built upon understanding data sources. You’ll find that it might still heavily rely on human entry and defined process conditions, and interpretation must not be reliant on a “black box” mentality.

Wherever digital metrics, mass balance, check weights, PLC extracts, and so on are used, coaching is key to understanding. When they’re used in conjunction with other manual entry tools, discrepancies must be coached in order to improve data integrity.

  1. What happens after the loss and waste analysis?

It’s advisable that the LWA be followed by structured improvement initiatives (such as rapid and standard deployment) to drive corrective action. These actions must be actively managed and always contain a mix of short-, medium- and long-term actions. Due to the nature of the LWA, the emphasis is often on the short- and medium-term actions. Longer-term actions will, of course, be actioned through the policy deployment process with LWA being an input to the process.

Do not confuse an LWA with a benchmarking exercise that can be done by a couple of bright kids using comparative data sets. When performing an LWA, you’re engaging with people, visible on the shop floor, seeing the real processes in action, asking questions and raising awareness that what is being done could potentially be done better and jointly, by harnessing knowledge at all levels. There’s an expectation of an outcome.

But it’s also important to remember that it is just an analysis; a “size of the prize” initiative if you will. It’s what you do afterwards that’s critical and where you’ll start to realize the benefits of a focused improvement effort.

A loss and waste analysis merely steers you in the right direction and sets you on a path to engage your team around a focused improvement drive with clear objectives. Remember, nothing breeds success like success.

About Carl Loubser

Carl Loubser is a Senior Advisor at CCi. He has spent almost 30 years helping leading manufacturing and supply chain organizations improve operating effectiveness. Carl specializes in transforming supply chains through operationalizing strategy, identifying areas of opportunity, and leading internal teams to deliver these strategies and sustain improvement. Key to his success is his ability to credibly challenge existing methods and results, and work with multifunctional teams to implement new work standards and controls. He has experience in all aspects of the value chain, and has led in excess of 100 projects.

Learn more about Carl’s expertise and connect with him on LinkedIn here.

Contact us today to find out how we can help you uncover high-impact improvement opportunities with a loss and waste analysis.

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