The Experts below are selected from a list of 2781 Experts worldwide ranked by ideXlab platform
R. Marasini - One of the best experts on this subject based on the ideXlab platform.
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26 Stockyard LAYOUT MANAGEMENT FOR PRECAST CONCRETE PRODUCTS USING SIMULATION
2015Co-Authors: R. Marasini, N. DawoodAbstract:Identification of Stockyard layouts for efficient storage and retrieval of standard concrete products is a very complex process. The demand in the industry is seasonal, and a massive stock is built in winter for the dispatched in summer. The problem is unique to the industry as the products are heavy in weight, different handling requirements and, large scale production (1000~1500 different products are produced and stocked). The industry is experiencing long throughput time for the distribution lorries, space congestion for both storage and dispatch of products. A case study shows that the throughput time to service an order varies form 60 to 90 minutes, the queuing time for the lorries being 1.5 times the loading time. A simulation model "SimStock " has been developed to assist managers in designing and managing the Stockyard layout. Through the simulation model "what- if " analysis is made for different storage methods, different loading policies and vehicle routings through the yard. A satisfactory layout can be selected for the implementation by visualising the loading and dispatch process, and evaluating the throughput time, space utilisation and cost of loading and dispatch. This paper presents the simulation model "SimStock " which was developed using ARENA (SIMAN), the methodology to populate the simulation model and the results of the simulation model using a detailed case study
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paper w78-2000-610.content SIMULATION APPROACH TO OPTIMISE Stockyard LAYOUT: A CASE STUDY IN PRECAST CONCRETE PRODUCTS INDUSTRY
2009Co-Authors: R. Marasini, N. DawoodAbstract:ABSTRACT: The precast concrete products industry supplies 2,000 to 4,000 of different products to the construction industry. The demand for the products is seasonal. The industry builds up the stock in winter to meet the high demand in summer. As large numbers of products varying sizes and weights are involved, different handling and stacking requirements, the process of deciding appropriate locations to stock the products and track them while loading into lorries for dispatch becomes complex. Due to lack of appropriate methodology to manage Stockyard layout, the industry experiences space congestion for both the storage and dispatch of products on the yard. During dispatch process, greater retrieval time is required, long queues of lorries (shipping vehicles) are formed, and desired level of service cannot be maintained. This paper describes an ongoing research that addresses the Stockyard layout management problem through development of a simulation model, which investigates the effects of using different layout scenarios and handling equipment on the performance of Stockyard. A prototype model is being developed using ARENA/SIMAN, a general-purpose simulation language. The model integrates production and forecast schedules, evaluates “what-if ” scenarios with different layout, product allocation to storage locations and order picking policies. The performance of Stockyard is evaluated through vehicle waiting time, vehicle queue lengths, Stockyard space utilisation and the cost of storage and dispatch of products. This paper presents the simulation modelling concepts, input data analysis, first prototype model development and the strategies used to develop an integrated layout evaluation simulation model
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visualisation of a Stockyard layout simulator simstock a case study in precast concrete products industry
Automation in Construction, 2003Co-Authors: N. Dawood, R. MarasiniAbstract:Abstract The demand for the concrete products is seasonal and huge stock is built in winter for dispatch in summer. As 1000–2000 products with different sizes, weights, handling and stacking requirements are involved, the process of deciding appropriate locations to stock the products and track them while loading into lorries for dispatch becomes complex. Stockyards in the precast concrete products industry are experiencing space congestion, and long vehicle waiting times for both the storage and retrieval of concrete products due to lack of a proper methodology to manage Stockyard layouts and their operations. This paper describes an ongoing research that addresses the Stockyard layout management problem through the development of an integrated simulation and visualisation model. The paper focuses on the development of the visualisation and simulation element of the Stockyard management system “SimStock”. The simulation model has been developed using ARENA/SIMAN, a general-purpose simulation language. The simulation model integrates production and forecast schedules, evaluates “what-if” scenarios with different layouts, products allocation to storage locations and order picking policies. The output of the simulation model is recorded in a database (Ms Access). The visualisation model was developed through integrating AutoCAD2000 with the database of the simulation model such that the simulated layouts can be studied in greater details and validated in a simpler manner. The visualisation module is used to assist managers in designing stock layouts (one of the major inputs to the simulation model) and visualise the simulation process in 2D (and 3D) perspectives, and manage real time implementation of proposed Stockyard solutions.
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cepm 1 simulation modeling and optimization of Stockyard layouts for precast concrete products
Winter Simulation Conference, 2002Co-Authors: R. Marasini, N. DawoodAbstract:The Stockyard is a hob of information that reflects the production, stock and sales of precast concrete products. The Stockyard layout plays an important role in storage and retrieval of the products. Stockyard layout planning offers a complex task as a large number of products are involved with different handling and storage requirements, and large stock is inevitable due to seasonality of demand. The major issues in planning Stockyard layout include the proper design of Stockyard space with roads and aisle networks and dynamic allocation of products to storage locations. A prototype "SimStock", an integrated process simulation model, was developed for planning and optimization of Stockyard layouts for precast concrete products. The development of the prototype, its capacities and strengths with a case study are discussed.
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integration of genetic algorithms and simulation for Stockyard layout planning
2002Co-Authors: R. Marasini, N. DawoodAbstract:This paper describes the development of a process simulation model and integration of the Genetic Algorithms (GA) with the model as optimisation techniques using a case study of Stockyard layout planning in precast concrete products industry. Genetic algorithms have been used for two purposes: firstly, to identify clusters of concrete products by analysing sales historical data such that frequently ordered products are grouped together; and secondly, to identify the allocation of the identified clusters to the storage locations. The simulation model was developed in ARENA (simulation software) which evaluates Stockyard layout scenarios with different spatial layouts and different allocation of products to storage locations. The evaluation parameters include throughput time for loading and dispatch of the products to service customer orders, queuing and waiting times of lorries and cost of loading and dispatch of the products in the Stockyard. The genetic algorithms are used to identify the best allocation of products to storage locations by evaluating the objective function values such as throughput time. The finding from the experiments conducted using a case study are presented and discussed.
N. Dawood - One of the best experts on this subject based on the ideXlab platform.
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26 Stockyard LAYOUT MANAGEMENT FOR PRECAST CONCRETE PRODUCTS USING SIMULATION
2015Co-Authors: R. Marasini, N. DawoodAbstract:Identification of Stockyard layouts for efficient storage and retrieval of standard concrete products is a very complex process. The demand in the industry is seasonal, and a massive stock is built in winter for the dispatched in summer. The problem is unique to the industry as the products are heavy in weight, different handling requirements and, large scale production (1000~1500 different products are produced and stocked). The industry is experiencing long throughput time for the distribution lorries, space congestion for both storage and dispatch of products. A case study shows that the throughput time to service an order varies form 60 to 90 minutes, the queuing time for the lorries being 1.5 times the loading time. A simulation model "SimStock " has been developed to assist managers in designing and managing the Stockyard layout. Through the simulation model "what- if " analysis is made for different storage methods, different loading policies and vehicle routings through the yard. A satisfactory layout can be selected for the implementation by visualising the loading and dispatch process, and evaluating the throughput time, space utilisation and cost of loading and dispatch. This paper presents the simulation model "SimStock " which was developed using ARENA (SIMAN), the methodology to populate the simulation model and the results of the simulation model using a detailed case study
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paper w78-2000-610.content SIMULATION APPROACH TO OPTIMISE Stockyard LAYOUT: A CASE STUDY IN PRECAST CONCRETE PRODUCTS INDUSTRY
2009Co-Authors: R. Marasini, N. DawoodAbstract:ABSTRACT: The precast concrete products industry supplies 2,000 to 4,000 of different products to the construction industry. The demand for the products is seasonal. The industry builds up the stock in winter to meet the high demand in summer. As large numbers of products varying sizes and weights are involved, different handling and stacking requirements, the process of deciding appropriate locations to stock the products and track them while loading into lorries for dispatch becomes complex. Due to lack of appropriate methodology to manage Stockyard layout, the industry experiences space congestion for both the storage and dispatch of products on the yard. During dispatch process, greater retrieval time is required, long queues of lorries (shipping vehicles) are formed, and desired level of service cannot be maintained. This paper describes an ongoing research that addresses the Stockyard layout management problem through development of a simulation model, which investigates the effects of using different layout scenarios and handling equipment on the performance of Stockyard. A prototype model is being developed using ARENA/SIMAN, a general-purpose simulation language. The model integrates production and forecast schedules, evaluates “what-if ” scenarios with different layout, product allocation to storage locations and order picking policies. The performance of Stockyard is evaluated through vehicle waiting time, vehicle queue lengths, Stockyard space utilisation and the cost of storage and dispatch of products. This paper presents the simulation modelling concepts, input data analysis, first prototype model development and the strategies used to develop an integrated layout evaluation simulation model
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visualisation of a Stockyard layout simulator simstock a case study in precast concrete products industry
Automation in Construction, 2003Co-Authors: N. Dawood, R. MarasiniAbstract:Abstract The demand for the concrete products is seasonal and huge stock is built in winter for dispatch in summer. As 1000–2000 products with different sizes, weights, handling and stacking requirements are involved, the process of deciding appropriate locations to stock the products and track them while loading into lorries for dispatch becomes complex. Stockyards in the precast concrete products industry are experiencing space congestion, and long vehicle waiting times for both the storage and retrieval of concrete products due to lack of a proper methodology to manage Stockyard layouts and their operations. This paper describes an ongoing research that addresses the Stockyard layout management problem through the development of an integrated simulation and visualisation model. The paper focuses on the development of the visualisation and simulation element of the Stockyard management system “SimStock”. The simulation model has been developed using ARENA/SIMAN, a general-purpose simulation language. The simulation model integrates production and forecast schedules, evaluates “what-if” scenarios with different layouts, products allocation to storage locations and order picking policies. The output of the simulation model is recorded in a database (Ms Access). The visualisation model was developed through integrating AutoCAD2000 with the database of the simulation model such that the simulated layouts can be studied in greater details and validated in a simpler manner. The visualisation module is used to assist managers in designing stock layouts (one of the major inputs to the simulation model) and visualise the simulation process in 2D (and 3D) perspectives, and manage real time implementation of proposed Stockyard solutions.
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cepm 1 simulation modeling and optimization of Stockyard layouts for precast concrete products
Winter Simulation Conference, 2002Co-Authors: R. Marasini, N. DawoodAbstract:The Stockyard is a hob of information that reflects the production, stock and sales of precast concrete products. The Stockyard layout plays an important role in storage and retrieval of the products. Stockyard layout planning offers a complex task as a large number of products are involved with different handling and storage requirements, and large stock is inevitable due to seasonality of demand. The major issues in planning Stockyard layout include the proper design of Stockyard space with roads and aisle networks and dynamic allocation of products to storage locations. A prototype "SimStock", an integrated process simulation model, was developed for planning and optimization of Stockyard layouts for precast concrete products. The development of the prototype, its capacities and strengths with a case study are discussed.
-
integration of genetic algorithms and simulation for Stockyard layout planning
2002Co-Authors: R. Marasini, N. DawoodAbstract:This paper describes the development of a process simulation model and integration of the Genetic Algorithms (GA) with the model as optimisation techniques using a case study of Stockyard layout planning in precast concrete products industry. Genetic algorithms have been used for two purposes: firstly, to identify clusters of concrete products by analysing sales historical data such that frequently ordered products are grouped together; and secondly, to identify the allocation of the identified clusters to the storage locations. The simulation model was developed in ARENA (simulation software) which evaluates Stockyard layout scenarios with different spatial layouts and different allocation of products to storage locations. The evaluation parameters include throughput time for loading and dispatch of the products to service customer orders, queuing and waiting times of lorries and cost of loading and dispatch of the products in the Stockyard. The genetic algorithms are used to identify the best allocation of products to storage locations by evaluating the objective function values such as throughput time. The finding from the experiments conducted using a case study are presented and discussed.
Gabriel Lodewijks - One of the best experts on this subject based on the ideXlab platform.
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simulation based rescheduling of the stacker reclaimer operation
Journal of Computational Science, 2015Co-Authors: Teus Van Vianen, Jaap A Ottjes, Gabriel LodewijksAbstract:Abstract In this paper simulation is applied to reschedule the stacker–reclaimers operation to increase the dry bulk terminal's performance by reducing the waiting time of cargo trains being loaded at the terminal. Stacker–reclaimers perform both the stacking and reclaiming of dry bulk materials. Due to the differences in loads between ships and cargo trains, the time needed for stacking and reclaiming varies considerably per job. The simulation tool developed can be used to support decisions when to interrupt ship servicing in favor of train loading based on the availability of transportation routes and expected disturbances. An experimental study demonstrated that ships and trains have to spend less time in the port when the Stockyard lanes are accessible by two stacker–reclaimers due to the higher machines redundancy. Using the stacker–reclaimers rescheduling function the average port time of trains decreased without significantly affecting the port time of ships.
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simulation based determination of the required Stockyard size for dry bulk terminals
Simulation Modelling Practice and Theory, 2014Co-Authors: Teus Van Vianen, Jaap A Ottjes, Gabriel LodewijksAbstract:Abstract This paper provides a methodology, supported with a simulation tool, to determine the required Stockyard size for dry bulk terminals. To determine the parameters that affect the required storage size, the storage factor was derived analytically. This factor defines the ratio between the annual throughput of a dry bulk terminal and the required Stockyard size. Simulation is required for Stockyard dimensioning when including the stochastic variations in the ship interarrival times, ship sizes and bulk material storage times. In addition, operational procedures were investigated that potentially increase the storage capacity. In a case study, the proposed approach was demonstrated by sizing the required Stockyard area for a specific import terminal.
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Stockyard dimensioning for dry bulk terminals
2012Co-Authors: Teus Van Vianen, Gabriel LodewijksAbstract:1 Introduction 1 2 Storage factor 2 3 Parameters which determine storage factor 2 3.1 The interarrival time distribution 3 3.2 The carrier tonnage distribution 3 3.3 The average storage time 3 4 Simulation-based approach 4 4.1 The simulation model 5 4.2 Determination of pile dimensions 9 4.3 Method to determine the storage factor 11 5 Results 12 6 Conclusions and future work 15 Acknowledgement 15 References 15
Teus Van Vianen - One of the best experts on this subject based on the ideXlab platform.
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simulation based rescheduling of the stacker reclaimer operation
Journal of Computational Science, 2015Co-Authors: Teus Van Vianen, Jaap A Ottjes, Gabriel LodewijksAbstract:Abstract In this paper simulation is applied to reschedule the stacker–reclaimers operation to increase the dry bulk terminal's performance by reducing the waiting time of cargo trains being loaded at the terminal. Stacker–reclaimers perform both the stacking and reclaiming of dry bulk materials. Due to the differences in loads between ships and cargo trains, the time needed for stacking and reclaiming varies considerably per job. The simulation tool developed can be used to support decisions when to interrupt ship servicing in favor of train loading based on the availability of transportation routes and expected disturbances. An experimental study demonstrated that ships and trains have to spend less time in the port when the Stockyard lanes are accessible by two stacker–reclaimers due to the higher machines redundancy. Using the stacker–reclaimers rescheduling function the average port time of trains decreased without significantly affecting the port time of ships.
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simulation based determination of the required Stockyard size for dry bulk terminals
Simulation Modelling Practice and Theory, 2014Co-Authors: Teus Van Vianen, Jaap A Ottjes, Gabriel LodewijksAbstract:Abstract This paper provides a methodology, supported with a simulation tool, to determine the required Stockyard size for dry bulk terminals. To determine the parameters that affect the required storage size, the storage factor was derived analytically. This factor defines the ratio between the annual throughput of a dry bulk terminal and the required Stockyard size. Simulation is required for Stockyard dimensioning when including the stochastic variations in the ship interarrival times, ship sizes and bulk material storage times. In addition, operational procedures were investigated that potentially increase the storage capacity. In a case study, the proposed approach was demonstrated by sizing the required Stockyard area for a specific import terminal.
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Stockyard dimensioning for dry bulk terminals
2012Co-Authors: Teus Van Vianen, Gabriel LodewijksAbstract:1 Introduction 1 2 Storage factor 2 3 Parameters which determine storage factor 2 3.1 The interarrival time distribution 3 3.2 The carrier tonnage distribution 3 3.3 The average storage time 3 4 Simulation-based approach 4 4.1 The simulation model 5 4.2 Determination of pile dimensions 9 4.3 Method to determine the storage factor 11 5 Results 12 6 Conclusions and future work 15 Acknowledgement 15 References 15
Jaap A Ottjes - One of the best experts on this subject based on the ideXlab platform.
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simulation based rescheduling of the stacker reclaimer operation
Journal of Computational Science, 2015Co-Authors: Teus Van Vianen, Jaap A Ottjes, Gabriel LodewijksAbstract:Abstract In this paper simulation is applied to reschedule the stacker–reclaimers operation to increase the dry bulk terminal's performance by reducing the waiting time of cargo trains being loaded at the terminal. Stacker–reclaimers perform both the stacking and reclaiming of dry bulk materials. Due to the differences in loads between ships and cargo trains, the time needed for stacking and reclaiming varies considerably per job. The simulation tool developed can be used to support decisions when to interrupt ship servicing in favor of train loading based on the availability of transportation routes and expected disturbances. An experimental study demonstrated that ships and trains have to spend less time in the port when the Stockyard lanes are accessible by two stacker–reclaimers due to the higher machines redundancy. Using the stacker–reclaimers rescheduling function the average port time of trains decreased without significantly affecting the port time of ships.
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simulation based determination of the required Stockyard size for dry bulk terminals
Simulation Modelling Practice and Theory, 2014Co-Authors: Teus Van Vianen, Jaap A Ottjes, Gabriel LodewijksAbstract:Abstract This paper provides a methodology, supported with a simulation tool, to determine the required Stockyard size for dry bulk terminals. To determine the parameters that affect the required storage size, the storage factor was derived analytically. This factor defines the ratio between the annual throughput of a dry bulk terminal and the required Stockyard size. Simulation is required for Stockyard dimensioning when including the stochastic variations in the ship interarrival times, ship sizes and bulk material storage times. In addition, operational procedures were investigated that potentially increase the storage capacity. In a case study, the proposed approach was demonstrated by sizing the required Stockyard area for a specific import terminal.