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Miguel Mujica Mota
Aviation Academy, Amsterdam University of Applied Sciences

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Journal article
Published: 14 July 2021 in Case Studies on Transport Policy
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With the increase of needs for controlling the passengers that use different modes of transport such as airports, ports, trains, or future ones as hyper loops, security facilities are a key element to be optimized. In the current study we present an analysis of a security area within an airport with particular restrictions. To improve the capacity, different categories and policies were devised for processing passengers and we propose to adapt the system to these categories and policies. The results indicated that, by designing a proper category in combination with novel technology, it is possible to increase the capacity to values of 2 digits (in terms of passengers/day). As a proof-of-concept, we use a case study of an area within an airport in Mexico based on data and layout of early 2019.

ACS Style

Miguel Mujica Mota; Paolo Scala; Alejandro Murrieta-Mendoza; Angel Orozco; Alejandro Di Bernardi. Analysis of security lines policies for improving capacity in airports: case mexico city. Case Studies on Transport Policy 2021, 1 .

AMA Style

Miguel Mujica Mota, Paolo Scala, Alejandro Murrieta-Mendoza, Angel Orozco, Alejandro Di Bernardi. Analysis of security lines policies for improving capacity in airports: case mexico city. Case Studies on Transport Policy. 2021; ():1.

Chicago/Turabian Style

Miguel Mujica Mota; Paolo Scala; Alejandro Murrieta-Mendoza; Angel Orozco; Alejandro Di Bernardi. 2021. "Analysis of security lines policies for improving capacity in airports: case mexico city." Case Studies on Transport Policy , no. : 1.

Journal article
Published: 29 May 2021 in Aerospace
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Paris Charles de Gaulle Airport was the second European airport in terms of traffic in 2019, having transported 76.2 million passengers. Its large infrastructures include four runways, a large taxiway network, and 298 aircraft parking stands (131 contact) among three terminals. With the current pandemic in place, the European air traffic network has declined by −65% flights when compared with 2019 traffic (pre-COVID-19), having a severe negative impact on the aviation industry. More and more often taxiways and runways are used as parking spaces for aircraft as consequence of the drastic decrease in air traffic. Furthermore, due to safety reasons, passenger terminals at many airports have been partially closed. In this work we want to study the effect of the reduction in the physical facilities at airports on airspace and airport capacity, especially in the Terminal Manoeuvring Area (TMA) airspace, and in the airport ground side. We have developed a methodology that considers rare events such as the current pandemic, and evaluates reduced access to airport facilities, considers air traffic management restrictions and evaluates the capacity of airport ground side and airspace. We built scenarios based on real public information on the current use of the airport facilities of Paris Charles de Gaulle Airport and conducted different experiments based on current and hypothetical traffic recovery scenarios. An already known optimization metaheuristic was implemented for optimizing the traffic with the aim of avoiding airspace conflicts and avoiding capacity overloads on the ground side. The results show that the main bottleneck of the system is the terminal capacity, as it starts to become congested even at low traffic (35% of 2019 traffic). When the traffic starts to increase, a ground delay strategy is effective for mitigating airspace conflicts; however, it reveals the need for additional runways.

ACS Style

Paolo Scala; Miguel Mujica Mota; Daniel Delahaye. Air Traffic Management during Rare Events Such as a Pandemic: Paris Charles de Gaulle Case Study. Aerospace 2021, 8, 155 .

AMA Style

Paolo Scala, Miguel Mujica Mota, Daniel Delahaye. Air Traffic Management during Rare Events Such as a Pandemic: Paris Charles de Gaulle Case Study. Aerospace. 2021; 8 (6):155.

Chicago/Turabian Style

Paolo Scala; Miguel Mujica Mota; Daniel Delahaye. 2021. "Air Traffic Management during Rare Events Such as a Pandemic: Paris Charles de Gaulle Case Study." Aerospace 8, no. 6: 155.

Journal article
Published: 28 December 2020 in Transportation Research Part C: Emerging Technologies
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This paper presents an innovative approach that combines optimization and simulation techniques for solving scheduling problems under uncertainty. We introduce an Opt–Sim closed-loop feedback framework (Opt–Sim) based on a sliding-window method, where a simulation model is used for evaluating the optimized solution with inherent uncertainties for scheduling activities. The specific problem tackled in this paper, refers to the airport capacity management under uncertainty, and the Opt–Sim framework is applied to a real case study (Paris Charles de Gaulle Airport, France). Different implementations of the Opt–Sim framework were tested based on: parameters for driving the Opt–Sim algorithmic framework and parameters for driving the optimization search algorithm. Results show that, by applying the Opt–Sim framework, potential aircraft conflicts could be reduced up to 57% over the non-optimized scenario. The proposed optimization framework is general enough so that different optimization resolution methods and simulation paradigms can be implemented for solving scheduling problems in several other fields.

ACS Style

Paolo Scala; Miguel Mujica Mota; Cheng-Lung Wu; Daniel Delahaye. An optimization–simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty. Transportation Research Part C: Emerging Technologies 2020, 124, 102937 .

AMA Style

Paolo Scala, Miguel Mujica Mota, Cheng-Lung Wu, Daniel Delahaye. An optimization–simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty. Transportation Research Part C: Emerging Technologies. 2020; 124 ():102937.

Chicago/Turabian Style

Paolo Scala; Miguel Mujica Mota; Cheng-Lung Wu; Daniel Delahaye. 2020. "An optimization–simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty." Transportation Research Part C: Emerging Technologies 124, no. : 102937.

Journal article
Published: 21 November 2020 in Transportation Research Part D: Transport and Environment
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Modern airport management is challenged by the task of operating aircraft parking positions most efficiently while complying with environmental policies, restrictions, schedule disruptions, and capacity limitations. This study proposes a novel framework for the stand allocation problem that uses a divide-and-conquer approach in combination with Bayesian modelling, simulation, and optimisation to produce less-pollutant solutions under realistic conditions. The framework presents three innovative aspects. First, inputs from the stochastic analysis module are used in a multivariate optimisation for generating variability-robust solutions. Second, a combination of optimisation and simulation is used to finely explore the impact of realistic uncertainty uncaptured by the framework. Lastly, the framework considers the role of human beings as the final control of operational conditions. A case study is presented as a proof of concept and demonstrates results achievable and benefits of the framework proposed. The experimental results demonstrate that the framework generates less-pollutant solutions under realistic conditions.

ACS Style

Margarita Bagamanova; Miguel Mujica Mota. Reducing airport environmental footprint using a disruption-aware stand assignment approach. Transportation Research Part D: Transport and Environment 2020, 89, 102634 .

AMA Style

Margarita Bagamanova, Miguel Mujica Mota. Reducing airport environmental footprint using a disruption-aware stand assignment approach. Transportation Research Part D: Transport and Environment. 2020; 89 ():102634.

Chicago/Turabian Style

Margarita Bagamanova; Miguel Mujica Mota. 2020. "Reducing airport environmental footprint using a disruption-aware stand assignment approach." Transportation Research Part D: Transport and Environment 89, no. : 102634.

Journal article
Published: 01 March 2020 in Case Studies on Transport Policy
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ACS Style

Miguel Mujica Mota; Idalia Flores; Idalia Flores De La Mota. Revisiting the flaws and pitfalls using simulation in the analysis of aviation capacity problems. Case Studies on Transport Policy 2020, 8, 67 -75.

AMA Style

Miguel Mujica Mota, Idalia Flores, Idalia Flores De La Mota. Revisiting the flaws and pitfalls using simulation in the analysis of aviation capacity problems. Case Studies on Transport Policy. 2020; 8 (1):67-75.

Chicago/Turabian Style

Miguel Mujica Mota; Idalia Flores; Idalia Flores De La Mota. 2020. "Revisiting the flaws and pitfalls using simulation in the analysis of aviation capacity problems." Case Studies on Transport Policy 8, no. 1: 67-75.

Journal article
Published: 01 March 2019 in SNE Simulation Notes Europe
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ACS Style

Miguel Mujica Mota; Idalia Flores. Model-based Methodology for Identifying Capacity Limitations in Airports: Mexico City Airport Case. SNE Simulation Notes Europe 2019, 29, 13 -25.

AMA Style

Miguel Mujica Mota, Idalia Flores. Model-based Methodology for Identifying Capacity Limitations in Airports: Mexico City Airport Case. SNE Simulation Notes Europe. 2019; 29 (1):13-25.

Chicago/Turabian Style

Miguel Mujica Mota; Idalia Flores. 2019. "Model-based Methodology for Identifying Capacity Limitations in Airports: Mexico City Airport Case." SNE Simulation Notes Europe 29, no. 1: 13-25.

Conference paper
Published: 01 January 2019 in THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM
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This study presents a model-based analysis of the ground connectivity performance of the future Santa Lucia-Mexico City multi-airport system. The plan of the current government is to connect the two airports by a dedicated line, either by bus or other transport so that passengers and airlines can get the benefit of a coordinated operation. Performance indicators such as minimum connecting time, vehicle utilization and passenger waiting time are used to evaluate the future performance. Results reveal that when all passengers are allowed to use the connection, a big number of vehicles are required for providing a good level of service while in the case of a restricted use to only transfer passengers the operation with Bus would have a good performance.

ACS Style

Miguel Mujica Mota; Paolo Scala; Danny Spit; Reyhan Tasdelen. Modelling of the ground connection between two airports in a multi-airport system: case Santa Lucia - Mexico City. THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM 2019, 375 -383.

AMA Style

Miguel Mujica Mota, Paolo Scala, Danny Spit, Reyhan Tasdelen. Modelling of the ground connection between two airports in a multi-airport system: case Santa Lucia - Mexico City. THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM. 2019; ():375-383.

Chicago/Turabian Style

Miguel Mujica Mota; Paolo Scala; Danny Spit; Reyhan Tasdelen. 2019. "Modelling of the ground connection between two airports in a multi-airport system: case Santa Lucia - Mexico City." THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM , no. : 375-383.

Journal article
Published: 19 December 2018 in Transportation Research Part C: Emerging Technologies
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Airports and surrounding airspaces are limited in terms of capacity and represent the major bottlenecks of the air traffic management system. This paper addresses the problems of terminal airspace management and airport congestion management at the macroscopic level through the integrated control of arrivals and departures. Conflict detection and resolution methods are applied to a predefined terminal route structure. Different airside components are modeled using network abstraction. Speed, arrival and departure times, and runway assignment are managed by using an optimization method. An adapted simulated annealing heuristic combined with a time decomposition approach is proposed to solve the corresponding problem. Computational experiments performed on case studies of Paris Charles De-Gaulle airport show some potential improvements: First, when the airport capacity is decreased, until a certain threshold, the overload can be mitigated properly by adjusting the aircraft entry time in the Terminal Maneuvering Area and the pushback time. Second, landing and take-off runway assignments in peak hours with imbalanced runway throughputs can significantly reduce flight delays. A decrease of 37% arrival delays and 36% departure delays was reached compared to baseline case.

ACS Style

Ji Ma; Daniel Delahaye; Mohammed Sbihi; Paolo Scala; Miguel Antonio Mujica Mota. Integrated optimization of terminal maneuvering area and airport at the macroscopic level. Transportation Research Part C: Emerging Technologies 2018, 98, 338 -357.

AMA Style

Ji Ma, Daniel Delahaye, Mohammed Sbihi, Paolo Scala, Miguel Antonio Mujica Mota. Integrated optimization of terminal maneuvering area and airport at the macroscopic level. Transportation Research Part C: Emerging Technologies. 2018; 98 ():338-357.

Chicago/Turabian Style

Ji Ma; Daniel Delahaye; Mohammed Sbihi; Paolo Scala; Miguel Antonio Mujica Mota. 2018. "Integrated optimization of terminal maneuvering area and airport at the macroscopic level." Transportation Research Part C: Emerging Technologies 98, no. : 338-357.

Journal article
Published: 19 April 2018 in Aerospace
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The aeronautical industry is expanding after a period of economic turmoil. For this reason, a growing number of airports are facing capacity problems that can sometimes only be resolved by expanding infrastructure, with the inherent risks that such decisions create. In order to deal with uncertainty at different levels, it is necessary to have relevant tools during an expansion project or during the planning phases of new infrastructure. This article presents a methodology that combines simulation approaches with different description levels that complement each other when applied to the development of a new airport. The methodology is illustrated with an example that uses two models for an expansion project of an airport in The Netherlands. One model focuses on the operation of the airport from a high-level position, while the second focuses on other technical aspects of the operation that challenge the feasibility of the proposed configuration of the apron. The results show that by applying the methodology, analytical power is enhanced and the risk of making the wrong decisions is reduced. We identified the limitations that the future facility will have and the impact of the physical characteristics of the traffic that will operate in the airport. The methodology can be used for tackling different problems and studying particular performance indicators to help decision-makers take more informed decisions.

ACS Style

Miguel Mujica Mota; Alejandro Di Bernardi; Paolo Scala; Gabriel Ramirez-Diaz. Simulation-Based Virtual Cycle for Multi-Level Airport Analysis. Aerospace 2018, 5, 44 .

AMA Style

Miguel Mujica Mota, Alejandro Di Bernardi, Paolo Scala, Gabriel Ramirez-Diaz. Simulation-Based Virtual Cycle for Multi-Level Airport Analysis. Aerospace. 2018; 5 (2):44.

Chicago/Turabian Style

Miguel Mujica Mota; Alejandro Di Bernardi; Paolo Scala; Gabriel Ramirez-Diaz. 2018. "Simulation-Based Virtual Cycle for Multi-Level Airport Analysis." Aerospace 5, no. 2: 44.

Journal article
Published: 01 September 2017 in Journal of Air Transport Management
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ACS Style

Miguel Mujica Mota; Geert Boosten; Nico De Bock; Edgar Jimenez; Jorge Pinho de Sousa. Simulation-based turnaround evaluation for Lelystad Airport. Journal of Air Transport Management 2017, 64, 21 -32.

AMA Style

Miguel Mujica Mota, Geert Boosten, Nico De Bock, Edgar Jimenez, Jorge Pinho de Sousa. Simulation-based turnaround evaluation for Lelystad Airport. Journal of Air Transport Management. 2017; 64 ():21-32.

Chicago/Turabian Style

Miguel Mujica Mota; Geert Boosten; Nico De Bock; Edgar Jimenez; Jorge Pinho de Sousa. 2017. "Simulation-based turnaround evaluation for Lelystad Airport." Journal of Air Transport Management 64, no. : 21-32.

Book chapter
Published: 20 May 2017 in Applied Simulation and Optimization 2
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Traditionally airport systems have been studied using an approach in which the different elements of the system are studied independently. Until recently scientific community has put attention in developing models and techniques that study the system using holistic approaches for understanding cause and effect relationships of the integral system. This chapter presents a case of an airport in which the authors have implemented an approach for improving the turnaround time of the operation. The novelty of the approach is that it uses a combination of simulation, parameter analysis and optimization for getting to the best amount of vehicles that minimize the turnaround time of the airport under study. In addition, the simulation model is such that it includes the most important elements within the aviation system, such as terminal manoeuvring area, runway, taxi networks, and ground handling operation. The results show clearly that the approach is suitable for a complex system in which the amount of variables makes it intractable for getting good solutions in reasonable time.

ACS Style

M. Mujica Mota; P. Scala; D. Delahaye. Improving Airport Performance Through a Model-Based Analysis and Optimization Approach. Applied Simulation and Optimization 2 2017, 109 -129.

AMA Style

M. Mujica Mota, P. Scala, D. Delahaye. Improving Airport Performance Through a Model-Based Analysis and Optimization Approach. Applied Simulation and Optimization 2. 2017; ():109-129.

Chicago/Turabian Style

M. Mujica Mota; P. Scala; D. Delahaye. 2017. "Improving Airport Performance Through a Model-Based Analysis and Optimization Approach." Applied Simulation and Optimization 2 , no. : 109-129.

Book chapter
Published: 29 March 2017 in Robust Modelling and Simulation
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This chapter is probably the one that makes the book different from others focused in Petri nets or Coloured Petri nets, since it introduces concepts and the methodology of how to integrate the Coloured Petri Nets (CPN) formalism with a discrete event-based simulation program like SIMIO.

ACS Style

Miguel Mujica Mota. The Coupling of Coloured Petri Nets with SIMIO. Robust Modelling and Simulation 2017, 87 -130.

AMA Style

Miguel Mujica Mota. The Coupling of Coloured Petri Nets with SIMIO. Robust Modelling and Simulation. 2017; ():87-130.

Chicago/Turabian Style

Miguel Mujica Mota. 2017. "The Coupling of Coloured Petri Nets with SIMIO." Robust Modelling and Simulation , no. : 87-130.

Journal article
Published: 01 January 2017 in International Journal of Simulation and Process Modelling
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ACS Style

Miguel Mujica Mota; Paolo Scala; Nico De Bock. A divide and conquer approach for simulating an airport system. International Journal of Simulation and Process Modelling 2017, 12, 470 .

AMA Style

Miguel Mujica Mota, Paolo Scala, Nico De Bock. A divide and conquer approach for simulating an airport system. International Journal of Simulation and Process Modelling. 2017; 12 (6):470.

Chicago/Turabian Style

Miguel Mujica Mota; Paolo Scala; Nico De Bock. 2017. "A divide and conquer approach for simulating an airport system." International Journal of Simulation and Process Modelling 12, no. 6: 470.

Journal article
Published: 01 July 2015 in Transportation Research Part A: Policy and Practice
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ACS Style

Miguel Mujica Mota. Check-in allocation improvements through the use of a simulation–optimization approach. Transportation Research Part A: Policy and Practice 2015, 77, 320 -335.

AMA Style

Miguel Mujica Mota. Check-in allocation improvements through the use of a simulation–optimization approach. Transportation Research Part A: Policy and Practice. 2015; 77 ():320-335.

Chicago/Turabian Style

Miguel Mujica Mota. 2015. "Check-in allocation improvements through the use of a simulation–optimization approach." Transportation Research Part A: Policy and Practice 77, no. : 320-335.

Book chapter
Published: 07 April 2015 in Applied Simulation and Optimization
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The airline industry is one of the most affected by operational disruptions, defined as deviations from originally planned operations. Due to airlines network configuration, delays are rapidly propagated to connecting flights, substantially increasing unexpected costs for the airlines

ACS Style

Daniel Guimarans; Pol Arias; Miguel Mujica Mota. Large Neighbourhood Search and Simulation for Disruption Management in the Airline Industry. Applied Simulation and Optimization 2015, 169 -201.

AMA Style

Daniel Guimarans, Pol Arias, Miguel Mujica Mota. Large Neighbourhood Search and Simulation for Disruption Management in the Airline Industry. Applied Simulation and Optimization. 2015; ():169-201.

Chicago/Turabian Style

Daniel Guimarans; Pol Arias; Miguel Mujica Mota. 2015. "Large Neighbourhood Search and Simulation for Disruption Management in the Airline Industry." Applied Simulation and Optimization , no. : 169-201.

Journal article
Published: 01 January 2014 in International Journal of Simulation and Process Modelling
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Simulation transparency is becoming more crucial in the decision making process when quantitative computer tools are used to justify some strategies. The coloured petri net (CPN) formalism is a promising modelling approach to foster simulation transparency by means of state space traceability tools, which have been proven to be useful for modelling system dynamics with conflict patterns. E-governance is one of these areas in which the use of a multi agent system (MAS) to represent social dynamics in a certain urban context could be used to engage citizens in the design of urban policies that affects their habitat environment. In this paper a modelling methodology to represent and analyse a context-aware multi agent-based system, which tends to be highly complex is proposed. CPN models are used to specify citizen's preferences and affinities in front of an urban contextual change, while MAS is used to evaluate the social dynamics by translating the CPN semantic rules into agent's rules in NetLogo.

ACS Style

Miquel Angel Piera; Roman Buil; Miguel Mujica Mota. Specification of CPN models into MAS platform for the modelling of social policy issues: FUPOL project. International Journal of Simulation and Process Modelling 2014, 9, 195 .

AMA Style

Miquel Angel Piera, Roman Buil, Miguel Mujica Mota. Specification of CPN models into MAS platform for the modelling of social policy issues: FUPOL project. International Journal of Simulation and Process Modelling. 2014; 9 (3):195.

Chicago/Turabian Style

Miquel Angel Piera; Roman Buil; Miguel Mujica Mota. 2014. "Specification of CPN models into MAS platform for the modelling of social policy issues: FUPOL project." International Journal of Simulation and Process Modelling 9, no. 3: 195.

Articles
Published: 01 July 2013 in International Journal of Production Research
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The coloured Petri net formalism has been recently used to analyse and optimise manufacturing systems making use of the state space (SS) analysis. This approach has great potential for scheduling and production planning purposes when it is properly implemented. In this article, an improved version of the algorithm known as the time line search for optimising the makespan of manufacturing models is presented. The algorithm has been developed for the use in a compact SS of coloured Petri net models in order to analyse the highest possible number of manufacturing configurations for the improvement of the makespan of a production system. The proposed algorithm can be used for the developing of decision support tools in manufacturing or operational decision-making.

ACS Style

Miguel Mujica Mota; Miquel Angel Piera. An improved time line search algorithm for manufacturing decision-making. International Journal of Production Research 2013, 52, 1116 -1132.

AMA Style

Miguel Mujica Mota, Miquel Angel Piera. An improved time line search algorithm for manufacturing decision-making. International Journal of Production Research. 2013; 52 (4):1116-1132.

Chicago/Turabian Style

Miguel Mujica Mota; Miquel Angel Piera. 2013. "An improved time line search algorithm for manufacturing decision-making." International Journal of Production Research 52, no. 4: 1116-1132.

Articles
Published: 15 January 2011 in International Journal of Computer Integrated Manufacturing
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The state space (SS) analysis of a timed coloured Petri net (TCPN) has been used traditionally for validation and verification of system properties. Performance modelling using TCPN has also received the widespread attention of researchers in recent years as a promising alternative to improve productivity and competitiveness of present flexible manufacturing systems. In this article, a new computationally effective approach is introduced for designing efficient decision support tools based on the analysis of SSs, in which the computational time is an important requirement to deal with optimal scheduling, routing or planning policies. The SS analysis of a system specified in the TCPN formalism is faced with an algorithm in two stages, key implementation algorithmic aspects are considered to improve the time consuming tasks (transition evaluation, data management and information search). In order to provide good benchmarking results when applied to the optimisation of industrial scheduling problems, some examples are given and future work is addressed at the end of the article.

ACS Style

Miguel M. Mota; Miquel Angel Piera. A compact timed state space approach for the analysis of manufacturing systems: key algorithmic improvements. International Journal of Computer Integrated Manufacturing 2011, 24, 135 -153.

AMA Style

Miguel M. Mota, Miquel Angel Piera. A compact timed state space approach for the analysis of manufacturing systems: key algorithmic improvements. International Journal of Computer Integrated Manufacturing. 2011; 24 (2):135-153.

Chicago/Turabian Style

Miguel M. Mota; Miquel Angel Piera. 2011. "A compact timed state space approach for the analysis of manufacturing systems: key algorithmic improvements." International Journal of Computer Integrated Manufacturing 24, no. 2: 135-153.