ABSTRACT The Design, Development and Supply Management of a new product are hard and complicated ... more ABSTRACT The Design, Development and Supply Management of a new product are hard and complicated tasks which require knowledge in several disciplines such as Engineering, Research and Development, Marketing and Human Resources. Acquiring these tasks by engineering students represents a major advancement in preparation for real life as future engineers. All of these tasks are hardly taught jointly through traditional learning methods, so engineering students poorly assimilate them. New learning techniques such as project-based learning, facilitates the assimilation of all these tasks giving students a much more comprehensive and realistic set of competences for their future professional life. In this paper, we present a case study of project-based learning, involving the Design, Development and the role of the Marketing and Supply Chain Management of a new product within a classroom environment. The project set for the students relates to the manufacturing of a new motorcycle. It was carried out by students of engineering schools in Spain as part of a National Competition. Engineering schools are involved in the project competition in a real race held on a professional circuit.
ABSTRACT This paper presents a simulation study on production and inventory control at the supply... more ABSTRACT This paper presents a simulation study on production and inventory control at the supply chain (SC) level and examines through a series of experiments the potential impact of the Hybrid Kanban-CONWIP production control strategy on the trade-off between the conflicting objectives of maximising customer service level and minimising Work-In-Process (WIP). Simulation based optimisation is computationally expensive approach to determining an optimal configuration of operational parameters for any stochastic system. In this paper we demonstrate an optimisation framework that will yield solutions with an accuracy that is reasonable for decision makers and computationally less expensive than simulation based optimisation. A simulation model for a centralised serial SC adopting Hybrid Kanban-CONWIP to process a single product was developed in order to explore the impact of some essential input factors on customer service level and average WIP through Design of Experiments (DOE), Gaussian Process Modelling (GP) and Metamodel-Based Optimisation using the Desirability Function. The precision of the results from this approach was determined by comparison to results from Simulation-Based Optimisation by means of Genetic Algorithms (GA). It has been shown that this framework will address the trade-off between accuracy and computational efficiency requirements of the decision maker.
ABSTRACT Pages 3672-3683 When inspection economies are implemented in multi-product, multi-stage,... more ABSTRACT Pages 3672-3683 When inspection economies are implemented in multi-product, multi-stage, parallel processing manufacturing systems, there exists a significant risk of losing control of the monitoring efficacy of the sampling strategy adopted. For a product-based sampling decision limited to a particular station in a production segment, the randomness of the departure process and the merging of different product flows at the machines of the different stations subvert the regularity of deterministic sampling. The risk of not regularly monitoring any machine in the segment can be measured in terms of maximum number of consecutive unsampled items. In this study, the distribution of this measure at sampling station machines is developed for a production scenario characterised by one monitored product and an unmonitored flow and compared with the behaviour of the same measures at non-sampling station machines. The prediction models illustrated prove fundamental pragmatic tools for quality management involved in sampling strategy-related decisions.
ABSTRACT The Design, Development and Supply Management of a new product are hard and complicated ... more ABSTRACT The Design, Development and Supply Management of a new product are hard and complicated tasks which require knowledge in several disciplines such as Engineering, Research and Development, Marketing and Human Resources. Acquiring these tasks by engineering students represents a major advancement in preparation for real life as future engineers. All of these tasks are hardly taught jointly through traditional learning methods, so engineering students poorly assimilate them. New learning techniques such as project-based learning, facilitates the assimilation of all these tasks giving students a much more comprehensive and realistic set of competences for their future professional life. In this paper, we present a case study of project-based learning, involving the Design, Development and the role of the Marketing and Supply Chain Management of a new product within a classroom environment. The project set for the students relates to the manufacturing of a new motorcycle. It was carried out by students of engineering schools in Spain as part of a National Competition. Engineering schools are involved in the project competition in a real race held on a professional circuit.
ABSTRACT This paper presents a simulation study on production and inventory control at the supply... more ABSTRACT This paper presents a simulation study on production and inventory control at the supply chain (SC) level and examines through a series of experiments the potential impact of the Hybrid Kanban-CONWIP production control strategy on the trade-off between the conflicting objectives of maximising customer service level and minimising Work-In-Process (WIP). Simulation based optimisation is computationally expensive approach to determining an optimal configuration of operational parameters for any stochastic system. In this paper we demonstrate an optimisation framework that will yield solutions with an accuracy that is reasonable for decision makers and computationally less expensive than simulation based optimisation. A simulation model for a centralised serial SC adopting Hybrid Kanban-CONWIP to process a single product was developed in order to explore the impact of some essential input factors on customer service level and average WIP through Design of Experiments (DOE), Gaussian Process Modelling (GP) and Metamodel-Based Optimisation using the Desirability Function. The precision of the results from this approach was determined by comparison to results from Simulation-Based Optimisation by means of Genetic Algorithms (GA). It has been shown that this framework will address the trade-off between accuracy and computational efficiency requirements of the decision maker.
ABSTRACT Pages 3672-3683 When inspection economies are implemented in multi-product, multi-stage,... more ABSTRACT Pages 3672-3683 When inspection economies are implemented in multi-product, multi-stage, parallel processing manufacturing systems, there exists a significant risk of losing control of the monitoring efficacy of the sampling strategy adopted. For a product-based sampling decision limited to a particular station in a production segment, the randomness of the departure process and the merging of different product flows at the machines of the different stations subvert the regularity of deterministic sampling. The risk of not regularly monitoring any machine in the segment can be measured in terms of maximum number of consecutive unsampled items. In this study, the distribution of this measure at sampling station machines is developed for a production scenario characterised by one monitored product and an unmonitored flow and compared with the behaviour of the same measures at non-sampling station machines. The prediction models illustrated prove fundamental pragmatic tools for quality management involved in sampling strategy-related decisions.
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Papers by John Geraghty