82 documents found, page 1 of 9
Minimizing total completion time in large-sized pharmaceutical quality control ...
Figueiredo, Joao; Martins, M.; Viegas, J.; Coito, T.; Firme, B.; Costigliola, A.; Vieira, S.; Sousa, J.This paper proposes an algorithm for the effective scheduling of analytical chemistry tests in the context of quality control for pharmaceutical manufacturing. The problem is formulated as an extension of a dual resource constrained flexible job shop scheduling problem for the allocation of both machines and analysts resources for analytical laboratory work of real dimensions. The formulation is novel and custo...
The impact of intelligent automation in internal supply chains
Coito, T.; Viegas, J.; Martins, M.; Firme, B.; Figueiredo, Joao; Vieira, S.; Sousa, J.Nowadays, industry is being forced to produce smaller and more diverse batches, increasing the complexity of internal supply chains. Data has become a valuable asset, supporting the development of intelligent automation solutions. Decision support systems, which leverage data, require the automation pyramid to be more flexible, as information needs to be exchanged simultaneously and in real-time with all automa...
A Middleware Platform for Intelligent Automation: An Industrial Prototype Imple...
Figueiredo, Joao; Coito, T.; Martins, M.; Viegas, J.; Firme, B.; Vieira, S.; Sousa, J.The development of dynamic data-based Decision Support Systems (DSSs) along with the increasing availability of data in the industry, makes real-time data acquisition and management a challenge. Intelligent automation appears as a holistic combination of automation with analytics and decisions made by artificial intelligence, delivering smart manufacturing and mass customization while improving resource efficie...
Artificial Bee Colony Algorithm Applied to Dynamic Flexible Job Shop Problems
Ferreira, I.; Firme, B.; Martins, M.; Coito, T.; Viegas, J.; Figueiredo, Joao; Vieira, S.; Sousa, J.This work introduces a scheduling technique using the Artificial Bee Colony (ABC) algorithm for static and dynamic environments. The ABC algorithm combines different initial populations and generation of new food source methods, including a moving operations technique and a local search method increasing the variable neighbourhood search that, as a result, improves the solution quality. The algorithm is validat...
Solving Dynamic Delivery Services Using Ant Colony Optimization
Martins, M.; Coito, T.; Firme, B.; Viegas, J.; Sousa, J.; Figueiredo, Joao; Vieira, S.This article presents a model for courier services designed to guide a fleet of vehicles over a dynamic set of requests. Motivation for this problem comes from a real-world scenario in an ever-changing environment, where the time to solve such optimization problem is constrained instead of endlessly searching for the optimal solution. First, a hybrid method combining Ant Colony Optimization with Local Search is...
Multi-agent system for dynamic scheduling
Firme, B.; Lopes, G.; Martins, M.; Coito, T.; Viegas, J.; Sousa, J.; Reis, J.; Figueiredo, Joao; Vieira, S.This paper proposes a flexible manufacturing system based on intelligent computational agents. A Multi-Agent System composed of 4 types of reactive agents was designed to control the operation of a real implementation in the Intelligent Automation Lab at Instituto Superior Tecnico. This implementation was ´ based and constructed analogously to a known benchmark, AIPPRIMECA. The agents were modelled using Petri ...
Reinforcement Learning for Dual-Resource Constrained Scheduling
Martins, M.; Viegas, J.; Coito, T.; Firme, B.; Sousa, J.; Figueiredo, Joao; Vieira, S.This paper proposes using reinforcement learning to solve scheduling problems where two types of resources of limited availability must be allocated. The goal is to minimize the makespan of a dual-resource constrained flexible job shop scheduling problem. Efficient practical implementation is very valuable to industry, yet it is often only solved combining heuristics and expert knowledge. A framework for traini...
A Novel Framework for Intelligent Automation
Coito, T.; Viegas, J.; Martins, M.; Cunha, M.; Figueiredo, Joao; Vieira, S.; Sousa, J.As the industry continues to pursue the reduction of downtimes and increases in the efficiency of resource usage, data appears as a valuable business asset, empowering intelligent automation solutions. In order to deal with current challenges in acquisition and management of data in industrial settings, this paper proposes a framework for intelligent automation. The traditional automation pyramid does not cope ...
Dual-resource Constrained Scheduling for Quality Control Laboratories
Cunha, M.; Viegas, J.; Martins, M.; Coito, T.; Figueiredo, Joao; Sousa, J.; Vieira, S.This work presents a novel formulation for quality control laboratory scheduling considering both equipment and analysts as constraints. The problem is modelled as a dualresource constrained exible job shop problem. The formulation considers analyst's tasks in multiple time points during the processing of samples. The mathematical model is implemented as a mixed integer linear programming model (MILP) aiming to...
Equipamentos sociais de Lisboa e Porto. Características dos edifícios, ventilaç...
Viegas, J.; Aelenei, D.; Nogueira, S .Foram realizados recentemente os projetos de investigação ENVIRH e GERIA, que tiveram por principal objetivo analisar a influência da ventilação e da qualidade do ar interior na saúde respiratória dos seus utilizadores. De entre a informação recolhida numa amostra significativa de creches, infantários e lares de idosos, são relevantes os dados sobre as características construtivas dos edifícios (em especial da ...