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Herramienta de reducción de costes y mantenimiento preventivo planificado optimizado en la industria manufacturera. Planificación con actividades que modifican la velocidad y tiempos de procesamiento

Resumen

Tipo:
Oferta Tecnológica
Referencia:
TOUK20140922001
Publicado:
18/09/2015
Caducidad:
23/03/2016
Resumen:
Un grupo de investigación de una universidad británica con experiencia en investigación operacional ha desarrollado herramientas para unificar diversas teorías en el campo de planificación y modelización. El grupo de investigación ofrece el potencial para reducir costes y adoptar programas de mantenimiento más eficaces en la industria manufacturera, aumentando así el rendimiento de maquinaria y el uso de mano de obra. Se buscan socios en la industria manufacturera y organismos donde la planificación es crucial para probar y desarrollar las herramientas conforme a sus necesidades. La universidad está interesada en establecer acuerdos de joint venture.

Details

Tittle:
Tool for cost reduction and optimised planned preventative maintenance in the manufacturing industry - scheduling with changing processing times and rate-modifying activities
Summary:
A UK university research group expert in operational research has developed recently game changing tools that unify several theories in the field of scheduling modelling and offer the potential for the manufacturing industry to cut costs and adopt more efficient maintenance schedules to maximise machine performance and use of manpower. Joint venture agreements sought with manufacturing industry and organisations where scheduling is important, to test and develop the tools for their own needs.
Description:
Industrial systems used in the production of goods are subject to deterioration and wear with usage and age. System deterioration results in increased breakdowns leading to higher production costs and lower product quality. A well-implemented, planned preventative maintenance program can reduce costly breakdowns. Deciding what preventative maintenance tasks to do, and when, constitutes a critical resource allocation and scheduling problem.

In classical scheduling models, it is normally assumed that the processing times of jobs are fixed. However, one of the current trends in deterministic scheduling research is to investigate scheduling problems with variable processing times. Some of the common rationales provided for considering such models, are as follows: the machine conditions may deteriorate as more jobs are processed, resulting in higher than normal processing times, or conversely, the machine´s operator may gain more experience as more jobs are processed, so he/she can process the jobs faster.

Active research in these areas has led to a vast body of publications on scheduling with changing processing times under learning/deterioration effects. However, the models in which only such a change is observed are of limited practical impact. In real-life situations, it is often observed that the machines/operators are subject to periodic maintenance activities or replacements. These activities modify the rate of change of processing times, so that the learning/deterioration process is disrupted, and then resumed under the updated conditions.

The research group has focused on the study of integrated models which allow changing processing times and rate-modifying activities as it was felt that there was a major scope for improvement in this area, both in terms of creating more general, practically relevant models and developing faster algorithms that are capable of handling a wide variety of problems.

The tools on offer provide potential benefits over traditionally applied methods because a wide variety of machine environments can be studied using the same models and the developed algorithms ensure that problems with an input size of up to one million jobs can be solved in under one minute.
 
Partners in industry where scheduling is important (manufacturing for example) are sought to test and co-develop the tool for their specific needs. Research collaborations will also be considered.
Advantages and Innovations:
The tools have been developed based on groundbreaking research by a widely cited team with many years of experience in scheduling theory.

When compared with other methods and tools on the market the models developed here are able to handle a wide range of machine environments including deterioration and learning effects. In addition the developed algorithms are robust and deliver optimum solutions in very fast times - a scheduling problem with up to one million jobs can be solved in under one minute.
Stage of Development:
Under development/lab tested
IPs:
Secret know-how

Partner sought

Type and Role of Partner Sought:
- Type of partner sought: Industry primarily but research organisations will also be considered.

- Specific area of activity of the partner: Manufacturing of products, management of factories, other industries where scheduling is critical, and research in this area.

- Task to be performed by the partner sought: Enter a joint venture, technical cooperation to test and develop the tools for their own needs.

Client

Type and Size of Client:
University
Already Engaged in Trans-National Cooperation:
Si
Languages Spoken:
English

Dissemination

Restrict dissemination to specific countries:
Albania, Armenia, Austria, Belgium, Bosnia And Herzegovina, Brazil, Bulgaria, Canada, Chile, China, Croatia, Cyprus, Czech_Republic, Denmark, Egypt, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, India, Ireland, Israel, Italy, Japan, Korea, Republic Of, Latvia, Lithuania, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Malta, Mexico, Moldova, Republic Of, Montenegro, Morocco, Netherlands, Norway, Poland, Portugal, Republic of Serbia, Romania, Russian Federation, Slovakia, Slovenia, Spain, Sweden, Switzerland, Tunisia, Turkey, Ukraine, United Kingdom, United States

Keywords

Technology Keywords:
02004 Diseño de planta y mantenimiento
02003005 Information processing & Systems, Workflow
02003002 Redes de plantas de fabricación