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Lazaros G. Papageorgiou - One of the best experts on this subject based on the ideXlab platform.
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optimal multi floor process Plant Layout with production sections
Chemical Engineering Research & Design, 2018Co-Authors: Jude O. Ejeh, Songsong Liu, Lazaros G. PapageorgiouAbstract:Abstract This paper addresses the multi-floor process Plant Layout problem by developing four mixed integer linear programming (MILP) models. The problem involves decisions concerning the optimal spatial arrangement of process Plant equipment and/or auxiliary units considering equipment connectivity, pumping and construction costs, and other factors. These considerations are extended to account for tall equipment items that span across floors and the availability of predefined production sections. The proposed models determine simultaneously the number of floors per section, floor areas per section, plot Layout and site Layout, and are applied to two case studies with up to 22 units and 6 production sections to demonstrate their applicability.
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Multi-floor process Plant Layout using mixed-integer optimisation
Computer Aided Chemical Engineering, 2018Co-Authors: Jude O. Ejeh, Songsong Liu, Lazaros G. PapageorgiouAbstract:Abstract Techniques to address the process Plant Layout problem have gone from an engineering judgement-based approach prior to the late 90s, to a more systematic means - through mathematical programming, simulated annealing and a range of other techniques. Over the past 20 years, factors such as the connectivity costs, pumping costs, cost of safety device installations, pipe routing, multi-floor arrangements, etc., have all been included as constraints in a mathematical programming model to determine predominantly, the most cost effective and safe means for Plant Layouts. This work proposes a mixed integer linear programming (MILP) model to include more realistic considerations for the multi-floor process Plant Layout problem - specifically tall process Plant units with heights well above the typical floor height - which are common in most process Plants but have not been given considerable attention in previous works. The model accounts for floor construction costs, area-dependent land use costs, pumping costs (upwards and within the same floor), connection costs by pipes as well as variable connection points along the heights of process units. The proposed optimisation approach has been applied successfully to an industry-relevant examples of 17 processing units with satisfactory computational results.
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Optimization-Based Approach for Process Plant Layout
Industrial & Engineering Chemistry Research, 2018Co-Authors: Jude O. Ejeh, Songsong Liu, Mazaher Molaei Chalchooghi, Lazaros G. PapageorgiouAbstract:This paper presents an optimization-based approach for the multifloor process Plant Layout problem. The multifloor process Plant Layout problem involves determining the most efficient—based on predefined criteria—spatial arrangement of a set of process Plant equipment with associated connectivity. A number of cost and management/engineering drivers (e.g., connectivity, operations, land area, safety, construction, retrofit, maintenance, production organization) have been considered over the last two decades in order to achieve potential savings in the overall Plant design process. This work constitutes an extension of the work by Patsiatzis and Papageorgiou [ Ind. Eng. Chem. Res. 2003, 42, 811−824;10.1021/ie020586t] to address the multifloor process Plant Layout problem. New features introduced modeled tall equipment with height greater than the typical floor height in chemical process Plants, with connection points at a design-specified height for each piece of equipment. The number of floors, land area, ...
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Process Plant Layout using an improvement-type algorithm
Chemical Engineering Research & Design, 2009Co-Authors: Lazaros G. PapageorgiouAbstract:This paper presents an efficient solution approach for large-scale, single-floor process Plant Layout problems based on mixed integer optimisation. The final Plant Layouts (i.e. coordinates and dimensions for each equipment item) are determined from an initial feasible solution followed by an iterative improvement procedure. The applicability of the solution algorithm is demonstrated through a number of illustrative examples. The computational results indicate that the proposed approach successfully achieves good quality solutions for examples with up to 36 facilities with modest computational requirements.
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Safe Process Plant Layout using Mathematical Programming
Computer-aided chemical engineering, 2007Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:This paper presents a general mathematical programming formulation, considering simultaneously process Plant Layout and safety. The proposed model determines the detailed process Plant Layout (coordinates and orientation of each equipment item), the number and type of protection devices in order to reduce possible accidents and the financial risk. The problem is formulated as a mixed integer non-linear programming (MINLP) model and its applicability is demonstrated by a literature example.
Dimitrios I. Patsiatzis - One of the best experts on this subject based on the ideXlab platform.
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Safe Process Plant Layout using Mathematical Programming
Computer-aided chemical engineering, 2007Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:This paper presents a general mathematical programming formulation, considering simultaneously process Plant Layout and safety. The proposed model determines the detailed process Plant Layout (coordinates and orientation of each equipment item), the number and type of protection devices in order to reduce possible accidents and the financial risk. The problem is formulated as a mixed integer non-linear programming (MINLP) model and its applicability is demonstrated by a literature example.
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An MILP Approach to Safe Process Plant Layout
Chemical Engineering Research & Design, 2004Co-Authors: Dimitrios I. Patsiatzis, G. Knight, Lazaros G. PapageorgiouAbstract:This paper presents a general mathematical programming formulation considering simultaneously process Plant Layout and safety. The proposed model determines the detailed process Plant Layout (coordinates and orientation of each equipment item), the number and type of protection devices in order to reduce possible accidents and the financial risk utilizing the Dow Fire and Explosion Index system. The overall problem is formulated as a mixed integer linear programming (MILP) model and its applicability is demonstrated by an illustrative example.
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Efficient solution approaches for the multifloor process Plant Layout problem
Industrial & Engineering Chemistry Research, 2003Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:In this paper, two novel efficient solution approaches for the multifloor process Plant Layout problem are presented. The first one is a rigorous decomposition approach, and the second one is based on an iterative solution scheme. Both approaches, which are based on integer linear programming models, determine the number of floors, land area, floor allocation of each equipment item, and detailed Layout for each floor. Their applicability is finally demonstrated by five illustrative examples.
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Optimal multi-floor process Plant Layout
Computers & Chemical Engineering, 2002Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:Abstract This paper presents a general mathematical programming formulation for the multi-floor process Plant Layout problem, which considers a number of cost and management/engineering drivers within the same framework thus resolving various trade-offs at an optimal manner. The proposed model determines simultaneously the number of floors, land area, floor allocation of each equipment item and detailed Layout for each floor. The overall problem is formulated as a mixed integer linear programming (MILP) model based on a continuous domain representation. The applicability of the model is demonstrated by three illustrative examples.
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optimal multi floor process Plant Layout
Computer-aided chemical engineering, 2001Co-Authors: Dimitrios I. Patsiatzis, Lazaros G. PapageorgiouAbstract:Publisher Summary This chapter presents a general mathematical programming formulation for the multifloor process Plant Layout problem, which considers a number of cost and management/engineering drivers within the same framework, thus resolving various tradeoffs at an optimal manner. The proposed model determines simultaneously the number of floors, land area, floor allocation of each equipment item, and detailed Layout of each floor. The overall problem is formulated as a mixed-integer linear programming (MILP) model based on a continuous domain representation. The applicability of the model is then demonstrated by an illustrative example. Continuous domain MILP mathematical models were presented in determining simultaneously the orientation and allocation of equipment items. An alternative continuous MILP formulation was also suggested for equipment allocation, utilizing a piecewise-linear function representation for absolute value functional. The assignment of equipment items to different floors has been considered by satisfying a number of equipment arrangement preferences and also taking into account vertical pumping and land costs. The partitioning of units in different floors is studied by combining a graph theory approach and a mathematical programming solution procedure. Grid-based MILP mathematical models are described, considering the equipment of different sizes and geometries, based on rectangular shapes.
Jude O. Ejeh - One of the best experts on this subject based on the ideXlab platform.
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optimal multi floor process Plant Layout with production sections
Chemical Engineering Research & Design, 2018Co-Authors: Jude O. Ejeh, Songsong Liu, Lazaros G. PapageorgiouAbstract:Abstract This paper addresses the multi-floor process Plant Layout problem by developing four mixed integer linear programming (MILP) models. The problem involves decisions concerning the optimal spatial arrangement of process Plant equipment and/or auxiliary units considering equipment connectivity, pumping and construction costs, and other factors. These considerations are extended to account for tall equipment items that span across floors and the availability of predefined production sections. The proposed models determine simultaneously the number of floors per section, floor areas per section, plot Layout and site Layout, and are applied to two case studies with up to 22 units and 6 production sections to demonstrate their applicability.
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Multi-floor process Plant Layout using mixed-integer optimisation
Computer Aided Chemical Engineering, 2018Co-Authors: Jude O. Ejeh, Songsong Liu, Lazaros G. PapageorgiouAbstract:Abstract Techniques to address the process Plant Layout problem have gone from an engineering judgement-based approach prior to the late 90s, to a more systematic means - through mathematical programming, simulated annealing and a range of other techniques. Over the past 20 years, factors such as the connectivity costs, pumping costs, cost of safety device installations, pipe routing, multi-floor arrangements, etc., have all been included as constraints in a mathematical programming model to determine predominantly, the most cost effective and safe means for Plant Layouts. This work proposes a mixed integer linear programming (MILP) model to include more realistic considerations for the multi-floor process Plant Layout problem - specifically tall process Plant units with heights well above the typical floor height - which are common in most process Plants but have not been given considerable attention in previous works. The model accounts for floor construction costs, area-dependent land use costs, pumping costs (upwards and within the same floor), connection costs by pipes as well as variable connection points along the heights of process units. The proposed optimisation approach has been applied successfully to an industry-relevant examples of 17 processing units with satisfactory computational results.
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Optimization-Based Approach for Process Plant Layout
Industrial & Engineering Chemistry Research, 2018Co-Authors: Jude O. Ejeh, Songsong Liu, Mazaher Molaei Chalchooghi, Lazaros G. PapageorgiouAbstract:This paper presents an optimization-based approach for the multifloor process Plant Layout problem. The multifloor process Plant Layout problem involves determining the most efficient—based on predefined criteria—spatial arrangement of a set of process Plant equipment with associated connectivity. A number of cost and management/engineering drivers (e.g., connectivity, operations, land area, safety, construction, retrofit, maintenance, production organization) have been considered over the last two decades in order to achieve potential savings in the overall Plant design process. This work constitutes an extension of the work by Patsiatzis and Papageorgiou [ Ind. Eng. Chem. Res. 2003, 42, 811−824;10.1021/ie020586t] to address the multifloor process Plant Layout problem. New features introduced modeled tall equipment with height greater than the typical floor height in chemical process Plants, with connection points at a design-specified height for each piece of equipment. The number of floors, land area, ...
Songsong Liu - One of the best experts on this subject based on the ideXlab platform.
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optimal multi floor process Plant Layout with production sections
Chemical Engineering Research & Design, 2018Co-Authors: Jude O. Ejeh, Songsong Liu, Lazaros G. PapageorgiouAbstract:Abstract This paper addresses the multi-floor process Plant Layout problem by developing four mixed integer linear programming (MILP) models. The problem involves decisions concerning the optimal spatial arrangement of process Plant equipment and/or auxiliary units considering equipment connectivity, pumping and construction costs, and other factors. These considerations are extended to account for tall equipment items that span across floors and the availability of predefined production sections. The proposed models determine simultaneously the number of floors per section, floor areas per section, plot Layout and site Layout, and are applied to two case studies with up to 22 units and 6 production sections to demonstrate their applicability.
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Multi-floor process Plant Layout using mixed-integer optimisation
Computer Aided Chemical Engineering, 2018Co-Authors: Jude O. Ejeh, Songsong Liu, Lazaros G. PapageorgiouAbstract:Abstract Techniques to address the process Plant Layout problem have gone from an engineering judgement-based approach prior to the late 90s, to a more systematic means - through mathematical programming, simulated annealing and a range of other techniques. Over the past 20 years, factors such as the connectivity costs, pumping costs, cost of safety device installations, pipe routing, multi-floor arrangements, etc., have all been included as constraints in a mathematical programming model to determine predominantly, the most cost effective and safe means for Plant Layouts. This work proposes a mixed integer linear programming (MILP) model to include more realistic considerations for the multi-floor process Plant Layout problem - specifically tall process Plant units with heights well above the typical floor height - which are common in most process Plants but have not been given considerable attention in previous works. The model accounts for floor construction costs, area-dependent land use costs, pumping costs (upwards and within the same floor), connection costs by pipes as well as variable connection points along the heights of process units. The proposed optimisation approach has been applied successfully to an industry-relevant examples of 17 processing units with satisfactory computational results.
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Optimization-Based Approach for Process Plant Layout
Industrial & Engineering Chemistry Research, 2018Co-Authors: Jude O. Ejeh, Songsong Liu, Mazaher Molaei Chalchooghi, Lazaros G. PapageorgiouAbstract:This paper presents an optimization-based approach for the multifloor process Plant Layout problem. The multifloor process Plant Layout problem involves determining the most efficient—based on predefined criteria—spatial arrangement of a set of process Plant equipment with associated connectivity. A number of cost and management/engineering drivers (e.g., connectivity, operations, land area, safety, construction, retrofit, maintenance, production organization) have been considered over the last two decades in order to achieve potential savings in the overall Plant design process. This work constitutes an extension of the work by Patsiatzis and Papageorgiou [ Ind. Eng. Chem. Res. 2003, 42, 811−824;10.1021/ie020586t] to address the multifloor process Plant Layout problem. New features introduced modeled tall equipment with height greater than the typical floor height in chemical process Plants, with connection points at a design-specified height for each piece of equipment. The number of floors, land area, ...
H. Izadbakhsh - One of the best experts on this subject based on the ideXlab platform.
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A Multi-Variate/Multi-Attribute Approach for Plant Layout Design
International Journal of Industrial Engineering-theory Applications and Practice, 2008Co-Authors: Ali Azadeh, H. IzadbakhshAbstract:This paper presents an integrated multivariate and multi attribute analysis approach for solving Plant Layout design problems. The integrated approach discussed in this paper is based Principal Component Analysis (PCA) and Analytic Hierarchy Process (AHP). The validity of the model is verified and validated by Numerical Taxonomy (NT) approach. Furthermore, a non-parametric correlation method, namely, Spearman correlation experiment is used to show the correlation between the findings of PCA and NT. The integrated PCA AHP approach of this study presents exact whereas previous DEA AHP studies presents incomplete and non exact Plant Layout alternatives. Furthermore, the superiority and effectiveness of PCA AHP approach is compared with previous DEA AHP study through a case study. The integrated PCA AHP would help policy makers and top managers to have precise understanding and improve existing systems with respect to facility Layout performance. Furthermore, it provides complete and exact rankings of the Plant Layout alternatives. Moreover, Numerical Taxonomy is used to verify and validate the findings of PCA whereas previous DEA AHP does not have verification and validation feature.
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a multi variate multi attribute approach for Plant Layout design
International Journal of Industrial Engineering-theory Applications and Practice, 2008Co-Authors: Ali Azadeh, H. IzadbakhshAbstract:This paper presents an integrated multivariate and multi attribute analysis approach for solving Plant Layout design problems. The integrated approach discussed in this paper is based Principal Component Analysis (PCA) and Analytic Hierarchy Process (AHP). The validity of the model is verified and validated by Numerical Taxonomy (NT) approach. Furthermore, a non-parametric correlation method, namely, Spearman correlation experiment is used to show the correlation between the findings of PCA and NT. The integrated PCA AHP approach of this study presents exact whereas previous DEA AHP studies presents incomplete and non exact Plant Layout alternatives. Furthermore, the superiority and effectiveness of PCA AHP approach is compared with previous DEA AHP study through a case study. The integrated PCA AHP would help policy makers and top managers to have precise understanding and improve existing systems with respect to facility Layout performance. Furthermore, it provides complete and exact rankings of the Plant Layout alternatives. Moreover, Numerical Taxonomy is used to verify and validate the findings of PCA whereas previous DEA AHP does not have verification and validation feature.