Click, View & Do! - English

Post on 05-Dec-2014

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One of the things I enjoy most in process analysis is combining technologies. The idea is that deliverables generated by one technology, can be associated nicely with deliverables generated by other technologies. Such combinations reveal new magnificent insights about our processes, and opportunities for improving them. The three technologies that I find extremely friendly and "opened minded" for such a challenge are: the BPM manager of Priority ERP, Disco - an Automatic Process Discovery tool, and QlikView -a business discovery tool. The attached presentation includes practical examples to get you inspired. So, go ahead and give it a try!

transcript

Mind Your Processes

Click, View & Do!

The Common Performance Measurement

Companies usually measure their performance in terms of financial data such as revenue, profits, cash flow, etc.

A common sales management dashboard

The Influence of Process Performance

The financial indices reflect the results of operational activities derived from the organization’s standard business processes

Addressing financial data only, without considering current business processes, significantly impairs an organization’s ability to improve their business performance

Process Minding

Most Business Intelligence (BI) solutions don’t provide insight into underlying business

processes In order to gain operational insights managers need:

► An integrated view of the company’s performance from process perspectives

► Real-time process monitoring based on operational KPIs (e.g., time, cost, quality, risk)

► Discovery of root causes of deviations from the planned process

Process Performance

Business Performance

The Solution

Automatic process discovery (APD): looks at historical event log data and analyzes these data to generate visual models of an organization's business processes

Advanced business discovery technology: allows management to analyze & monitor operations and key performance indicators in real-time and alerts management of any anomalies

Mind your Sales

Business Discovery with QlikView (BI)

The Business Discovery dashboard displays data & metrics based on sales data from the ERP system

The sales manager is not satisfied with the financial results in some countries There is also an increasing number of complaints from customers about delayed supplies The manager wishes to analyze operational data in order to learn more about the way sales

orders are handled.

Measuring Operational Performance

Operational KPIs are based on historical data of sales orders from the ERP.

The gauges bounds are defined by managers

Note: The dashboard is based on a gradual implementation. First, data for selected metrics

are retrieved in order to reveal performance issues with the process in question. Later on,

the gauges bound values are determined by the manager.

The Planned Process Model

The desired (As-Is) process flow is designed according to the process manager

The Process Model (in the ERP)

Built-In mechanism in the ERP is used to define and control process steps

The model includes statuses and paths between them - i.e., the workflow

Currently, there is no way to discover inefficiency or bottlenecks with reports generated by

the ERP.

How Events are Created

The sales Orders data are recorded in the ERP system

When updating a status or an employee in a sales order, an event record is created in a

sub-level screen

The event log data, together with business data can be retrieved from the ERP database for

the process analysis.

Process Discovery with QlikView

The Process Discovery sheet displays events & business data of closed sales orders from

the ERP

Analysis of process performance by various dimensions is enabled

Gauges display operational info about duration, efficiency, costs and more

The current sheet is linked to the Business Discovery sheet.

Analysis of Slow Orders (> 40 days)

Bar chart displays sales orders durations on the X-axis, and number of orders on the Y-axis

Pie chart displays costs and durations per statuses or employees

Gauges view is updated according to user selections

Business Data of the Slow Orders

The Business Discovery sheet is automatically updated with the previous selections

Only the slow orders-related data are displayed

Analysis of specific customers, part families or profit centers assists in discovering root

causes of issues in the process

Preparing Data for Automatic Process Discovery

Further analysis of the slow process can be performed with automatic process discovery

tool (e.g., Disco)

Data of the slow process can be selected & exported with a click of a button.

The Data Exported from QlikView

The mandatory data for automatic process discovery

Importing the Data to Disco

The Model of the Actual Process

The actual process flow discovered based on the imported process data

An Indication of inefficiency Start point

End point

Animation of the Slow Process

Sales orders starting the process

An Indication of a Bottle Neck

An Indication of work loads

Event Time

The actual process is replayed based on the imported process data

Analyzing the Fast Orders for Benchmarking

The chart displays now data of sales orders with a duration of up to 15 days.

Comparing slow & fast processing of the sales orders can reveal opportunities for

improvements (e.g., discover the efficient employees and adapt best practices)

The data is exported for further analysis with process mining technology.

Process Benchmarking

Fast Process Slow Process

Real-Time Process Control

The Process Control dashboard displays both business & operational data of open sales

orders

A deviation of case durations can trigger an alert (online or Email).

Mind your Production

An Overview of the Solution

The solution enables the analysis of the performance on a production floor and it’s

production process It is possible to analyze overall production performance and individual machine performance

across a number of key dimensions such as Work Center, Part, Time etc. Automatic process discovery can be performed on selected data to identify root causes of

deviations in costs, scrap, work orders cycle times and more This demonstration is based on sample of production reporting and cost data of work cells,

operations, products and machines from a metal processing company.

Manufacturing Analysis

with QlikView*

* Based on the Plant Operations demo app

The Dashboard

The Dashboard enables analysis of the high level KPIs: Costs, Scrap and Runtime Completed and Open work orders KPIs are displayed separately The data can be further analyzed by using the list boxes on the left of the sheet and the

time dimensions at the top.

Analysis of Costs

The Cost sheet lets you analyze the costs of the plant & its operations. With the charts in the container object, you can analyze Material, Overhead and Labor costs

and Actual vs. Standard costs for various dimensions (Work Center, Operation and Part). You can drill-down to focus on work order or operations with costs deviations

Analysis of Scrap

In the Scrap sheet scrap is displayed as a percent of production Scrap can be analyzed over time and by key dimensions

Discovering the Actual Production Process

With

Disco

Example Deliverables

The Planned Production Process

Some Possible Deliverables

A process map of the executed production processes Conformance Checking

► Deviations from routings

Performance Analysis ► Machines

► Operators

► Idle times

► Bottlenecks

Focused analysis of: ► Breakdowns

► Rework

► Rejected parts

Comparison of workers performance

Export Production Data for Automatic Process Discovery

Automatic process discovery can be performed on selected data to identify root causes of deviations in costs, scrap, work orders cycle times and more

The data imported from QlikView with a click of a button.

Revealing Deviations from Routing

For some work orders, the process starts and ends with different operations then defined in the routing (circled in red)

Start point

End point

Locating the Slow Work Orders

The Performance filter is used to retrieve slow work orders by a selected duration

The Slow Process Flow

The mean waiting time between operations

The mean duration of operations

Idle Times in the Process

The numbers represent the maximal waiting time between work cells

Mind your Warehouse

Warehouse Management System

Ordering & Receiving Goods to the Warehouse

Operational & Business Rules

Document Creation

Inventory Control & Quality

Assurance

WMS

WMS Terminology

Wave – Loop through a set of documents and create optimized tasks for picking, put away etc.,

taking under consideration resources, space, volume and other relevant parameters.

Task – A result of a wave that has a set of instructions that enables data entry with time tracking

and online error reporting.

Storage Zone – Physical or virtual storage space in the warehouse like front storage, back storage

or a gallery.

Warehouse Definitions (in Priority ERP)

Warehouse Tasks Details (in Priority ERP)

No. of open tasks for each user

PDA UI Forklift PDA or Laptop UI

Hand Held Device UI

PDA Pick sample

Pick recommendation

Pack Details

Show alternate Bins

Data entry Zone

Next/Previous Record

Copy Record Details

PDA Pick Example

WMS BI Dashboard in Priority ERP

WMS Analysis & Control

with QlikView

Current State of Warehouses

Throughput Analysis

Analysis of Mobile Devices

Analysis of Tasks Duration

Analyzing Warehouse Tasks

with Disco

Example Deliverables

Mind the Gap..

The planned process

The process in reality

PIK Tasks Distribution Among Storekeepers

The number of tasks allocated to a storekeeper

Comparing Storekeepers Performance

The numbers indicate the mean duration of paths between statuses

Task Types Comparison - Performance

Summary

Process Minding solutions can be applied to any system which manages processes

The solution can be developed with any BI tool

Some benefits of integrating automatic process discovery (APD) & BI technologies:

Holistic approach vs. detached (i.e., a stand-alone solution/service)

Event data are extracted directly from the BI database

Event data are enriched with business data

► Analysis and benchmarking results enable fine-tuning of KPIs

► Operational & business managers can share results and insights

► Continuous process improvement

More info & examples can be found here.

Contact Details

For further info please contact:

Dafna Levy

Email: dafnal@nool.co.il

Phone: +972 (0)54-6881739

Intelligent Process Management