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A novel discrete particle swarm optimization algorithm for the travelling sales...

Sequeiros, Jose A.; Silva, Rui; Santos, Andre S.; Bastos, J.; Varela, M.L.R.; Madureira, A. M.

There are Optimization Problems that are too complex to be solved efficiently by deterministic methods. For these problems, where deterministic methods have proven to be inefficient, if not completely unusable, it is common to use approximate methods, that is, optimization methods that solve the problems quickly, regardless of their size or complexity, even if they do not guarantee optimal solutions. In other w...


An industry 4.0 oriented tool for supporting dynamic selection of dispatching r...

Ferreirinha, Luis; Baptista, Sara; Pereira, Alfredo F.; Santos, A. S.; Bastos, J.; Madureira, A. M.; Varela, M.L.R.

Production scheduling is an optimizing problem that can contribute strongly to the competitive capacity of companies producing goods and services. A way to promote the survival and the sustainability of the organizations in this upcoming era of Industry 4.0 (I4.0) is the efficient use of the resources. A complete failure to stage tasks properly can easily lead to a waste of time and resources, which could resul...


A dynamic selection of dispatching rules based on the kano model satisfaction s...

Ferreirinha, L.; Baptista, S.; Pereira, Alfredo F.; Santos, A. S.; Bastos, J.; Madureira, A. M.; Varela, M.L.R.

Production scheduling is a function that can contribute strongly to the competitive capacity of companies producing goods and services. Failure to stagger tasks properly causes enormous waste of time and resources, with a clear decrease in productivity and high monetary losses. The efficient use of internal resources in organizations becomes a competitive advantage and can thus dictate their survival and sustai...


Manufacturing services classification in a decentralized supply chain using Tex...

Akhtar, M. D.; Manupati, V. K.; Varela, M.L.R.; Putnik, Goran D.; Madureira, A. M.; Abraham, Ajith

With the recent development of weblogs and social networks, many supplier industries share their data on different websites and weblogs. Even the Small-to-Medium sized enterprises (SMEs) in the manufacturing sector (as well as non-manufacturing sector) are rapidly strengthening their web presence in order to improve their visibility, customer reachability and remain competitive in the global market. Our study a...


The influence of problem specific neighborhood structures in metaheuristics per...

Santos, A. S.; Madureira, A. M.; Varela, M.L.R.

Metaheuristics (MH) aptitude to move past local optimums makes them an attractive technique to approach complex computational problems, such as the Travelling Salesman Problem (TSP), but there is lack of information on the parameterization procedure and the appropriate parameters to improve MHs' performance. In this paper the parameterization procedure of Simulated Annealing (SA) and Discrete Artificial Bee Col...


Industrial Plant Layout Analyzing Based on SNA

Varela, Maria Leonilde Rocha; Manupati, V. K.; Manoj, K.; Putnik, Goran D.; Araujo, A.; Madureira, A. M.

Social network analysis (SNA) is a widely studied research topics, which has been increasingly being applied for solving different kind of problems, including industrial manufacturing ones. This paper focuses on the application of SNA on an industrial plant layout problem. The study aims at analyzing the importance of using SNA techniques to analyze important relations between entities in a manufacturing enviro...


Study on the Impact of the NS in the Performance of Meta-Heuristics in the TSP

Santos, A. S.; Madureira, A. M.; Varela, Maria Leonilde Rocha

Meta-heuristics have been applied for a long time to the Travelling Salesman Problem (TSP) but information is still lacking in the determination of the parameters with the best performance. This paper examines the impact of the Simulated Annealing (SA) and Discrete Artificial Bee Colony (DABC) parameters in the TSP. One special consideration of this paper is how the Neighborhood Structure (NS) interact with the...


Scheduling and Batching in Multi-Site Flexible Flow Shop Environments

Santos, A. S.; Madureira, A. M.; Varela, Maria Leonilde Rocha; Putnik, Goran D.; Kays, H. M. Emrul; Karim, A. N. M.

Global competition and the customers demand for customized products with shorter due dates, marked the introduction of the Extended Enterprise. In this Extended Manufacturing Environment (EME), lean, virtual, networked and distributed enterprises collaborate to respond to the market demands. In this paper we study the influence of the batch size on Flexible Flow Shop makespan minimization problem FFC vertical b...


An integer programming approach for Balancing and Scheduling in Extended Manufa...

Kays, H. M. Emrul; Karim, A. N. M.; Varela, Maria Leonilde Rocha; Santos, A. S.; Madureira, A. M.

In the fiercely competitive era induced by expansion of open business archetypes, the managerial aspects of Extended Manufacturing Environments (EMEs) are experiencing growing concerns. There is no scope of leaving a possible operational improvement unexplored. For enhanced operational efficiency and capacity utilization the balancing and scheduling problems of EMEs are, therefore, rightfully considered and an ...


Alternative approaches analysis for scheduling in an extended manufacturing env...

Santos, A. S.; Varela, M.L.R.; Putnik, Goran D.; Madureira, A. M.

Extended Manufacturing Environments (EMEs) are nowadays growing due to the increase on Distributed and Virtual Enterprises, which led to an emergent need to apply scheduling approaches accordingly. This can be achieved in several different ways, namely by putting forward new approaches or by trying to adapt existing ones. In this paper the adaptation of some existing scheduling methods is proposed for solving a...


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