Browsing by Author "Geraldes, Carla A.S."
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- An automated warehouse design validation using discrete simulationPublication . Peixoto, Robson; Dias, Luís M.S.; Carvalho, Sameiro; Pereira, Guilherme; Geraldes, Carla A.S.In this paper we discuss the use of discrete simulation technique to support the redesign process of an automated warehouse system of the Brazilian Air Force unit. This unit is responsible for the supply of all uniform items and other military support material to their military forces. In particular, our work aims at analysing the inclusion of an automated sorting system to prepare uniforms individual kits in order to release downstream supply chain from this task. The main challenge was to investigate the impact on the existing storage system of a new sorting system and, simultaneously, to explore if additional management measures are required to satisfy both throughput levels and overall supply chain requirements. To accomplish a solution for such a complex problem simulation models were developed using ARENA software. Results have shown that the use of simulation allows not only the assessment of the impact of the new sorting equipment but also to test different warehouse management strategies that should be adopted concurrently to ensure that desired throughput levels can be achieved in the new scenario. In fact, this research illustrates the flexibility of the simulation tool to address several complex management issues simultaneously such as the introduction of picking sequencing rules, the use of a class-based storage policy, the addition of new picking stations, and an increase of the number of the available boxes used for transportation.
- An integrated approach for warehouse design and planningPublication . Geraldes, Carla A.S.; Carvalho, Sameiro; Pereira, GuilhermeWarehouse design and planning is a great challenge in the field of Supply Chain Management. Inventory level management, warehouse design and operations, and customers’ requirements are examples of important challenges in this context. Throughout this work we discuss a mathematical model aiming to support some warehouse management decisions and inventory decisions. Our aim is to show model’s potentialities and weaknesses when applied to real world problems and to identify challenging research opportunities for developing more global warehouse decision support models to fill the gap between researchers and warehouse practitioners.
- An integrated model for warehouse design and planningPublication . Geraldes, Carla A.S.; Carvalho, Sameiro; Pereira, GuilhermeWarehouse design is a field of interest for both practitioners and researchers that have attracted a lot of research attention in the last years. Nevertheless it remains a complex task with very few general models that capture the existing and often conflicting trade-offs of a warehouse system. Literature surveys show that most research efforts have been devoted to solve limited and well-defined problems rather than integrated ones. This is not surprising since developing an integrated model is more difficult to analyse and treat analytically. In this talk we present and discuss a high-level model that integrates some decisions involved in warehouse design and planning. Our aim is to analyse the value of integrating warehouse decisions showing that additional savings can be achieved.
- An optimisation model for the warehouse design and planning problemPublication . Geraldes, Carla A.S.; Carvalho, Sameiro; Pereira, GuilhermeIn spite of the importance of warehouses in the field of the supply chain management, there is not a single decision model that integrates all the decisions that concerns the warehouse design and planning problem. In this paper we discuss a mathematical programming model aiming to support some warehouse management and inventory decisions. Our aim is to address the complexity related to the modeling of the warehouse design and planning problem. In particular an optimisation model is presented to capture the trade-offs among both inventory and warehouse costs in order to achieve global optimal design satisfying throughput requirements.
- An optimisation model for the warehouse design and planning problemPublication . Geraldes, Carla A.S.; Carvalho, Sameiro; Pereira, GuilhermeIn spite of the importance of warehouses in the field of the supply chain management, there is not a single decision model that integrates all the decisions that concerns the warehouse design and planning problem. A number of warehouse decision support models have been proposed in the literature but considerable difficulties in applying these models still remain, due to the large amount of information to be processed and to the large number of possible alternatives. In this paper we discuss a mathematical programming model aiming to support some warehouse management and inventory decisions. Our aim is to address the complexity related to the modeling of the warehouse design and planning problem. In particular a large mixed-integer nonlinear programing model (MINLP) is presented to capture the trade-offs among both inventory and warehouse costs in order to achieve global optimal design satisfying throughput requirements.
- An optimisation model for the warehouse design and product assignment and allocation problemPublication . Geraldes, Carla A.S.; Carvalho, Sameiro; Pereira, GuilhermeWarehouse design and planning is a great challenge in the field of Supply Chain Management. In this paper we discuss an optimisation model aiming to support some warehouse management decisions. In particular a mixed-integer programming model (MILP) is presented to determine product assignment and allocation to the functional areas, as well as the size of each area. Our aim is to capture the trade-offs among the different warehouse costs in order to achieve global optimal design satisfying throughput requirements.
- Analysis and optimisation of a production line using discrete simulationPublication . Setti, Fabiane Kupchak; Geraldes, Carla A.S.; Almeida, João P.; Trentin, Marcelo G.This study presents a simulation-based procedure to analyse a production line of a metalworking company. We use a simulation tool, ProModel R software, to reproduce the existing production line layout of the company best-selling product which represents about 70% of the total sales. Our purpose is to get information about the existing system behaviour, and to find strategies to increase actual production level to meet the market’s demand. Based on an initial simulation model, different production scenarios were proposed and results have shown that it is possible to increase the production level allowing to meet the increasing demand for the product. The following changes in the production system were considered: (i) the use of intermediate stock of work-in-process items, (ii) the introduction of new equipment, and (iii) a mixed strategy where the introduction of new equipment is combined with the use of intermediate stock of work-in-process items. In summary, this research exhibits the flexibility of the simulation technique to address manufacturing problems throughout the creation of different scenarios providing some of the behaviour of the systems allowing the anticipation of final outputs.
- Analysis and optimisation of a production line using discrete simulationPublication . Setti, Fabiane Kupchak; Geraldes, Carla A.S.; Almeida, João P.; Trentin, Marcelo G.This study presents a simulation-based procedure to analyse a production line of a metalworking company. We use a simulation tool, ProModel R software, to reproduce the existing production line layout of the company best-selling product which represents about 70% of the total sales. Our purpose is to get information about the existing system behaviour, and to find strategies to increase actual production level to meet the market’s demand. Based on an initial simulation model, different production scenarios were proposed and results have shown that it is possible to increase the production level allowing to meet the increasing demand for the product. The following changes in the production system were considered: (i) the use of intermediate stock of work-in-process items, (ii) the introduction of new equipment, and (iii) a mixed strategy where the introduction of new equipment is combined with the use of intermediate stock of work-in-process items. In summary, this research exhibits the flexibility of the simulation technique to address manufacturing problems throughout the creation of different scenarios providing some of the behaviour of the systems allowing the anticipation of final outputs.
- Analysis of a bakery production system using discrete simulationPublication . Geraldes, Carla A.S.; Setti, Fabiane K.; Almeida, João P.The main objective of this study is to analyse different production scenarios of a company, and propose improvements with the use of discrete event simulation. We use a simulation tool, SIMIO software, to reproduce the existing production layout of the company. Our purpose is to gather relevant information about the actual production system behaviour, and to find strategies to increase the production level to meet the market demand. Based on initial simulation model, some production scenarios were developed involving the production of different products. The analysis of the developed models highlighted the need for improvements. Among the obtained results, the creation of different mixed production scenarios allowed to increase the production level while maintaining the current existing resources. The results of this work can be easily implemented in the company in order to increase the production level without increasing costs since they do not involve the purchase of new equipment. In conclusion, this study highlighted the ability of the simulation technique to analyse manufacturing processes throughout the creation of different scenarios providing insights on the production process improving the companies’ productive performance
- Analysis of new job profiles for the factory of the futurePublication . Geraldes, Carla A.S.; Sakurada, Lucas; Fernandes, Florbela P.; Pontes, Joseane; Leitão, PauloIndustry 4.0 is being promoting the digitisation of manufacturing sector towards smart products, machines, processes and factories. The adoption of disruptive technologies associated to this industrial revolution will lead to re-shaping the manufacturing environment, decreasing the low-skilled activities and increasing the high-skill activities, being expected to grow the complexity and number of new job profiles. In this context, this paper aims to analyse the literature and recruitment repositories to identify the new job profiles in the factory of the future (FoF) across six industrial technological sectors, namely Collaborative Robotics (Cobots), Additive Manufacturing (AM), Mechatronics and Machine Automation (MMA), Data Analytics (DA), Cybersecurity (CS) and Human-Machine Interface (HMI). The performed analysis allowed to compile a catalogue of 100 new job profiles that were characterised and analysed in terms of technical and soft skills, type and level of profile, as well as the frequency demand.