IT in Manufacturing


Productive use of free time

April 2011 IT in Manufacturing

PUFT theory and objective


The primary objective of the PUFT implementation is to improve and optimise operation and machine efficiency on a coupled manufacturing line by making the best use of current assets.

PUFT theory utilises a system’s constraints, over-capacity and acceleration capability, to predict the location and magnitude of free time at workstations. PUFT has evolved from production theories like JIT and Kanban as these are not applicable in a high-speed coupled manufacturing installation with fixed accumulation. Free time is available due to this accumulation and stoppages on the production line.

Coupled manufacturing refers to an installation where machines are connected to each other by conveyors or storage bins. A machine processes product and feeds it into an accumulator from where the next machine on the line fetches, processes and feeds its accumulator. This continues until the product exits the last machine into the warehouse.

PUFT is applicable to any coupled manufacturing production line whether it consists of high-speed machines or the manual assembly of products.

Free time defined

Free time, in the PUFT context, is defined as the time available for a production machine operator to stop his machine without affecting the overall performance of the production line.

Importance of the V-Profile

High-speed production lines are designed such that machine throughput-rates are lowest in the centre and highest at the start and end. This is the V-profile.

The machine at the bottom of the V needs to be kept supplied with product. In a food or beverage line this is where product and empty containers meet. If it stops, production stops. The longer it runs, the more product enters the warehouse. PUFT monitors if the V moves from its designed position and can operate with a dynamic V-profile.

Dynamic free time

Upstream of the V, a machine that keeps its accumulator filled is able to create free time by virtue of the fact that its downstream machine has product to draw on and therefore stay running. Downstream of the V, machines draw product away from the V-machine to ensure it has accumulator space for its product. These create dynamic free time.

Becoming the constraint

Any machine that does not fill or drain the V-machine will become the current bottleneck (CBM) or current constraint machine (CCM). We define the CBM as the machine with the lowest free time on the production line. This is a good indicator that the machine is not performing well. A machine transitions from CBM to CCM when it stops producing. When there is a CCM there is a direct cost to production line efficiency.

The PUFT real-time advantage

Where PUFT has an advantage over traditional methods is that it allows the state of the production line to be monitored, analysed and displayed in real-time at each machine. Existing technology adopts a post-mortem approach. Stoppages are analysed after the fact.

This allows the operator to make decisions based on the current state of the production line. The operator is aware that if his machine is the CBM, stopping it will make it the CCM and impact on line efficiency. Maintenance or cleaning decisions are made based on available free time. These all combine to improve overall line efficiency.

Static free time

When a machine stops due to operator intervention, emergency stop or breakdown, PUFT prompts the operator for the expected downtime. This is static (breakdown) free time. Free time at any machine is the sum of its dynamic and static free times.

When static downtime is entered, it is propagated to all other machines on the production line. Since the breakdown machine is expected to be stopped for the given time, all machines benefit. PUFT monitors MTBF and MTTR and can use this to broadcast estimated downtime without operator intervention.

Free time is an advanced warning

PUFT predicts free time in four different line states: Sleep, Start-Up, Running and Run-Out. Many production lines do not have line-of-sight communication between machines. When the line has emptied of product for example, ie, Run-Out and gone to a Sleep state, each operator has an indicator showing when product is expected to arrive when it restarts. Depending on the line configuration, this could be an hour or more from the first machine starting to run, to product arriving at the last. Operators can use this time more effectively than if they had inaccurate or no knowledge of the state of the production line.

PUFT equipment and installation

PUFT equipment at each point-of-interest consists of a Heartbeat device which gathers all sensor signals and a Predictor which displays free time to the operator. The line manager has the option of a Globe device which gathers data from the Predictors and displays a summary of the current state of the line. The Globe has an Ethernet connection and serves up Web-pages to any desktop PC browser.

Installation of the PUFT system is simple and non-invasive. Each point requires power and sensors to count product entering and leaving the machine. Communication between Predictors uses proprietary wireless adapted for industrial environments.

Additional features

Predefined messages may be broadcast to other Predictors and Globe and by SMS to pre-programmed phone-numbers. Data for each machine is stored continuously, eg, 121 days at 5 minute intervals and retrieved via USB. Line Configurations may be changed by uploading a parameter file generated from a spreadsheet allowing product changes with varying pack sizes to be set up quickly. Simulation Mode provides a sophisticated mechanism to model a line and experiment with changes before deployment into the field.

For more information contact Dale Whitfield, PUFT Group, +27 (0)21 788 5838, [email protected], www.puft.co.za





Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Prefabricated data centres for an AI-focused future at the edge
Schneider Electric South Africa IT in Manufacturing
As AI technologies continue to advance, data centres are being pushed to the edge, reshaping their operations to meet daily demands. To meet the relentless demands of AI workloads at the edge, prefabricated data centre solutions offer a scalable, efficient and fast alternative to traditional builds.

Read more...
Quantum computing and its impact on data security: a double-edged sword for the digital age
IT in Manufacturing
Quantum computing is poised to redefine the boundaries of data security, offering groundbreaking solutions while threatening modern encryption’s foundations. For third-party IT providers, this duality presents both a challenge and an opportunity to lead organisations through one of the most significant technological transitions in decades.

Read more...
Next-generation road-legal race car.
Siemens South Africa IT in Manufacturing
Siemens Digital Industries Software has announced that Briggs Automotive Company (BAC) will move to the Siemens Xcelerator portfolio of industry software and use it to develop the next generation of its single-seater road-legal race car, Mono.

Read more...
Cybersecurity at a crossroads
IT in Manufacturing
here’s a growing unease in boardrooms, data centres and cabinet offices across South Africa. It’s not just about economic headwinds or political uncertainty, it’s about something quieter, more technical and yet just as dangerous - the rising tide of cyber threats.

Read more...
Enabling a sustainable industrial organisation
IT in Manufacturing
This article explains the top sustainability trends and key actions that you can leverage to become a more sustainable organisation.

Read more...
Navigating discrete manufacturing in South Africa through digitalisation
IT in Manufacturing
South Africa’s discrete manufacturing sector faces mounting pressure from global competition, fragmented supply chains and outdated infrastructure. In this complex environment, digitalisation is a critical lever for survival, resilience and growth.

Read more...
Africa’s pragmatic approach to AI and how data centres are enabling it
Schneider Electric South Africa IT in Manufacturing
In Africa, the current AI momentum is driven by a fundamental need, building a resilient digital infrastructure that addresses the real-world challenges of the continent’s communities.

Read more...
World first simulation of error-correctable quantum computers
IT in Manufacturing
Quantum computers still face a major hurdle on their pathway to practical use cases, their limited ability to correct the arising computational errors. In a world first, researchers from Chalmers University of Technology in Sweden have unveiled a method for simulating specific types of error-corrected quantum computations.

Read more...
Platform to accelerate supply chain decarbonisation
Schneider Electric South Africa IT in Manufacturing
Schneider Electric has launched Zeigo Hub by Schneider Electric, a powerful new digital platform designed to help organisations decarbonise their supply chains at scale.

Read more...
Future-ready data centres
IT in Manufacturing
The white paper ‘Future-Ready Data Centres’ by Black & Veatch outlines how integrating sustainable design principles not only helps meet ESG goals but also ensures reliability, operational efficiency and business continuity in the face of climate change and growing digital demand.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved