Factors to be considered in the preparation of the benchmarking proposal include:
Mission
Objective/scope
Statement of importance
Information available
Critical questions
Ethical and legal issues
Partner selection
Roles and responsibilities
Visit schedule
Data analysis requirements
Form of recommendation
The approach that follows is very comprehensive. It might not be economical to follow all the steps in every study. Let practical common sense be the guide to action.
You need to understand your own operations very thoroughly before comparing them with the operations of others. Here are some steps you should take to make sure that you understand your current methods :
Ask open -ended questions. For example, for "who":
Who does it per the job description?
Who is actually doing it?
Who else could do it?
Who should be doing it?
Ask similar questions for what, where, when, why, and how.
Activity analysis consists of the following steps:
Activities can be defined through:
Function
Process
Marketing and sales
Sell products
Activity: These are the major action steps of a process. For example, make a proposal.
Task: Prepare proposal draft
Operation: Type proposal
Identify what happens to trigger the activity. Why does the activity get performed at a specific time? What is the status of material or information before the activity occurs? What documentation signifies that the activity is to start?
Example: Receive material
Material receipt document
Document how to perform the activity. Indicate what has to be done and the order in which it is done. This will define all business procedures, policies, and controls. Questions to ask include:
What are the key process variables ?
What controls these variables?
What levels lead to optimum performance?
What are the causes of variation?
What are the limitations?
Activities should be classified in terms of repetitive versus non-repetitive, primary versus secondary, and required versus discretionary. It is important in this analysis to determine limitations, sources of error, rejects, and delays.
Example: Raw material
Inspection process manual
Identify the resources to perform the activity. Include factors such as direct material, direct labor (hours and grade), equipment requirements, information requirements, and space requirements. The resources might come from more than one department. It is crucial to trace all of the resources required to perform the activity.
The resources can be determined by a careful analysis of the chart of accounts. When making the cost analysis, carefully choose among using actual, budgeted, standard, or planned cost information.
Example: Inspector, material, handling equipment, inspection equipment, inspection area, inspection manual
What are the factors external to the activity that cause more or less of the resources to be used? What drives the need for the activity and the level of resources required? Consider both efficiency and effectiveness, as follows:
Efficiency: Doing things right.
Effectiveness: Doing the right things
Example: bad weather, poor product quality, automated equipment, workplace layout
What units can be used to measure the output of the activity? This will be a measure of production level such as pieces produced, lots produced, invoices processed , checks written, or standard hours earned.
Example: Lots of raw material inspected, pieces inspected, or material acceptance forms completed
Identify that output measure that most closely controls the level of resources required. For example, when looking at clerical activities, the number of invoices is more significant than the dollar volume of the invoices. When moving material, the tons moved is more significant than the number of invoices represented. In general, the activity measure will be a resource input per unit of an output measure.
Examples:
Cost/lot
Pieces/ hour
Cost/unit
Square foot per person
Patents per engineer
Drawings per engineer
Lines of code per programmer
Contact labor/company labor
Sales dollars/sales manager
Machine changeover -% total
Modeling an activity involves the following:
Define the process
Define the cost or resource requirements
Define the output variables
Determine the metric or resource per unit of output (This may require the use of regression analysis or the design of experiments.)
Critical considerations are:
What is the relationship between fixed and variable costs?
What determines the capacity limitations of the process?
How much does overhead change with a change in the volume of business?
It is important to distinguish between the metric (resource per unit of output) and the cost drivers.
The metric or activity measure for inserting pins might be cost per pin inserted. However, the cost drivers might be the product design and the technology used. A different design might require fewer insertions, and a different technology might avoid the need for any insertions.
The modeling of raw material cost per unit produced might consider the following variables:
The number of parts to be produced
The standard raw material per part
The percent scrap produced
Raw material unit price
Raw material quantity discounts
Exchange rates
Note that a simple comparison of raw material cost as a percentage of sales dollars provides little real basis for comparing costs and cost improvement.
The number of units sold of an item could be modeled as the number of potential buyers times the percentage who become aware of the product if they can get it times the percentage of potential buyers who can get the product times the percentage of triers who will be repeat buyers times the number of units purchased by a repeat buyer.
When working with salaries and wages , it is necessary to take into consideration factors such as headcount, rate by grade, straight time/overtime ratios, benefits, skill level, age, education, union vs. non-union, and incentives. Salary and wage ratios that can be benchmarked are:
Skilled/unskilled labor
Direct/indirect labor
Training cost per employee
Overtime hours/straight time hours
To determine the sales dollars from a new account, start by flow charting the steps required to sell a new account. Start with cold calls and work through to a close. Use of symbols in flow charting:
Start or stop
Flow lines
Activity
Document
Decision
Connector
Then ask some key questions:
What are the major activities?
What are the ratios required to forecast sales?
What factors affect the selling cost per rep or the revenue per rep? Does looking at these ratios tell you very much? What would you benchmark?
Here is an example of activity performance measures for warehouse operations:
Picking operations
Orders filled per person per day
Line items per person per day
Pieces per person per day
Number of picks per order
Standard hours earned per day
Line items per order
Receiving operations
Number of trucks unloaded per shift
Number of pallets received per day
Number of cases received per day
Number of errors per day
Direct labor hours unloading trucks
Incoming QC operations
Number of inspections per period
Number of rejects per period
Direct inspection labor hours
Putaway/storage operations
Number of full pallet putaways per period
Number of loose case putaways per period
Direct labor hours putaway or storage
Cube utilization
Truck loading
Number of units loaded per truck per period
Number of trucks per period
Time per trailer
Customer service operations
Fill rate
Elapsed time between order and shipment
Error rate
Customer calls taken per day
Number of problems solved per call
Number requiring multiple calls
Number of credits issued
Number of backorders
At this stage we are ready to identify information required when meeting with the benchmark partner. The following information is typical and may be used to focus the meeting with the benchmark partner and to highlight information requirements:
Description of company activity and results:
Alternative ways of performing the activity:
Alternative 1:
Alternative 2:
Alternative 3:
The pros and cons of the alternatives are:
Pros | Cons | |
---|---|---|
Alternative 1: | ||
Alternative 2: | ||
Alternative 3: |
Information required to reach a conclusion as to the best approach:
Review the assumptions for the study to make sure that the outcomes are correlated to what you were studying . (At this stage, it is not unusual to find surprises . That is, you may find items that you overlooked or you thought were unimportant and so on.)
By far the most important characteristic of the visit is to:
Observe, question, analyze and learn
Make sure to notice:
What are they doing?
How is it different from what we are doing?
Why are they doing it that way?
How can the results be measured?
Ask open-ended questions, just as you did when observing your own operations. For example, for "who":
Who does it per the job description?
Who is actually doing it?
Who else could do it?
Who should be doing it?
Ask similar questions for what, where, when, why, and how.
Follow the procedures described above for analyzing the company activities. You may encounter some analytical difficulties because of the following factors.
Accounting differences
Account definitions vary in terms of what is included in the account. For example, does the cost of raw material include the cost of freight in and insurance? Where is scrap accounted for?
Cost allocations .
Identification of all multi-department costs.
Different economies of scale/learning curve
Specialization
Automation
Time/unit
Factors to consider when trying to determine if you have identified all the factors required for success include the following:
Analysis and intuition
MRP and inventory cycle count
Salary and wage comparisons ” are the jobs really comparable?
The use of manufacturing work cells (This may require a change in socialization .)
Level of advertising per dollar of sales (Just knowing this may not be very helpful. The relevant question is, "How effectively are the advertising dollars spent?")
Regression analysis
Warehouse study
Design of experiments
Key activities after the visit include the following:
Be sure to send a thank you note promptly.
Document findings for each visit.
Summarize all findings ” analysis and synthesis.
Compare current operations with findings.
Gather more specific data if required.
Identify opportunities for improvement ” combine, eliminate, change order, etc.
Develop team recommendation.
Distribute benchmark report.
Benchmarking Examples
Hours/1000 pcs | |||
---|---|---|---|
Functions | Company | Best Company | Cap |
Primary machining | .75 | .50 | .25 |
Heat training | |||
Grinding | |||
Assembly | |||
Packing |
Cost Item | % Total Cost | Cum % Total | Company | Cost per Unit Best |
---|---|---|---|---|
Raw material | 40 | 40 | 17.50 | 15.50 |
Direct labor | 20 | 60 | 7.50 | 5.50 |
The benchmarking of competitive technologies can be very critical. This is particularly true when the product or technical life cycle is very short. Keys are:
Knowing the current technology and its limitations
Identifying the emerging technologies that become the new benchmarks.
Knowing what customers really buy and relating this to the emerging technology.
Having the courage and foresight to change.
Financial benchmarking compares a company (or the major segments of a company) relative to the financial performance of other companies. The modified Du Pont chart provides a convenient way to do this. The idea of the modified Du Pont plan is to start with the return on equity and progressively calculate the return on assets, profit margin, gross margin, sales, cost of goods sold (COGS), sales per day, cost of goods sold per day, days inventory (COGS), days receivable (COGS), and days payable (COGS). Company results can be compared with data provided by:
Dun and Bradstreet Industry Norms and Key Business Ratios
Robert Morris Associates Annual Statement Summary
Prentice Hall Almanac of Business and Industrial Financial Ratios
The comparison of company strategy versus industry strategy can lead to the need for more specific benchmarking studies.
The performance of units engaged in essentially the same type of activity can be compared using statistical regression analysis. This technique can be used to determine the significant independent variables and their impact on costs. Exceptionally good and bad performance can be identified and this provides the basis for further benchmarking studies.
The PIMS analysis is a further application of multiple regression analysis. It can be used to identify the major determinants of company profitability.
The Center for Advanced Purchasing Studies (Tempe, Arizona) has benchmarked the purchasing activity for the petroleum, banking, pharmaceutical , food service, telecommunication services, computer, semiconductor, chemical, and transportation industries. For a wide variety of activity measures, the reports provide the average value, the maximum, the minimum, and the median value.
Perhaps one of the most famous examples of benchmarking in recent history is the Motorola example. Motorola, through "Operation Bandit," was able to cut the product development time for a new pager in half to 18 months based on traveling the world and looking for "islands of excellence." These companies were in various industries: cars , watches , cameras , and other technically intensive products. The solution required a variety of actions:
Automated factories
Removing barriers in the workplace
Training of 100,000 employees
Technical sharing alliance with Toshiba
Motorola was particularly impressed by the P200 program of a Hitachi plant. This stands for a 200% increase in productivity by year end. The plant set immutable deadlines for the solutions to problems. All departments had six sigma goals.