Optimization of the Multi-Facility Location Problem Using Widely Available Office Software

Němec, Petr; Stodola, Petr

doi:10.3390/a14040106

Cited by 9 publications

(7 citation statements)

References 28 publications

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“…It relies on controlled sampling combined with deterministic methods to explore the search space efficiently. Second, it can handle non-smooth and discontinuous functions [ 37 ]. The evolutionary method parameters were the population size, random seed, mutation rate, convergence value, and maximum time without improvement.…”

Section: Optimization Algorithmmentioning

confidence: 99%

Optimal Design of Reinforced Concrete Materials in Construction

2022

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The structural design process is iterative and involves many design parameters. Thus, this paper presents a controlled framework for selecting the adequate structural floor system for reinforced concrete buildings and efficiently utilizing the corresponding construction materials. Optimization was performed using an evolutionary algorithm to minimize the total construction cost, considering the costs of concrete, steel reinforcement, formwork, and labor. In the problem formulation, the characteristic compressive strength of concrete was treated as a design variable because it affects the mechanical performance of concrete. The design variables included the column spacings, concrete dimensions, and steel reinforcement of different structural components. The constraints reflected the Egyptian code of practice provisions. Because the choice of the structural floor system affects the design details, three systems were considered: solid slabs, flat slabs with drop panels, and flat slabs without drop panels. Two benchmark examples were presented, and the optimal design results of the structural floor systems were compared. The solid slab system had the lowest construction cost among the three structural floor systems. Comparative diagrams were developed to investigate the distribution of construction costs of each floor system. The results revealed that an adequate choice of design variables could save up to 17% of the building’s total construction cost.

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Section: Optimization Algorithmmentioning

confidence: 99%

Optimal Design of Reinforced Concrete Materials in Construction

2022

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“…This prevents GRG from yielding optimal solutions since it cannot properly account for the non-smooth areas where curvature information is undefined. On the other hand, EA relies on random sampling with localized deterministic searching to effectively explore wide search space 14 , 30 . Moreover, EA can accommodate discontinuous and non-smooth objective functions, unlike gradient-based techniques which require continuous differentiable formulas 31 .…”

Section: Optimization Algorithmmentioning

confidence: 99%

Application of evolutionary algorithms to design economic flat slab buildings based on the intended function

Rady

2024

Sci Rep

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Numerous studies revealed optimization techniques' applicability in minimizing the costs of reinforced concrete buildings. However, the existing literature has narrowly focused on optimizing buildings with a single function, such as residential or office buildings, hindering the generalization of the results. This paper aims to bridge the gap between optimization and structural engineering by obtaining the minimum-cost design of flat slab buildings with different intended functions. In this context, the optimal designs of 120 alternatives were obtained, considering various spans (4–8 m), live loads (2–10 kPa), and concrete compressive strength (25–40 MPa). The optimization was executed using the evolutionary algorithm provided in Microsoft Excel’s Solver tool. The optimization model permits the utilization of drop panels to resist punching stresses developed from the slab-column interaction. The objective function is the cost of materials and labor involved in constructing floors and columns. The decision variables are the floor dimensions and column configurations in dimensions and reinforcement. The structural constraints were applied per the Egyptian design code (ECP203-2020). Eventually, guidelines were developed to help the designers choose the economic floor system and quantities of materials based on the building's intended function.

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“…With the equations presented in the previous topic (Pumping of cutting fluid in the system), a system of equations was formulated to solve the objective problem [20]: determine the pressure variation of the flow system as shown below. In the software, the Solver add-in aims to find the values for variables that meet all the constraints of the mathematical model [20] and that can also minimize or maximize the value of a function [16], using the GRG (Generalized Reduced Gradient) numerical method [21]. The system performs interactions using onedimensional research through a variation of Newton's method [22].…”

Section: Determination Of System Pressure Variation For Pump Validationmentioning

confidence: 99%

Study of a Cutting Fluid Application System Adaptation on a Bench Milling Machine for an Academic Laboratory Environment

Martins

Fernandes

2023

J. Mod. Mech. Eng. Technol.

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Cutting fluid is a resource that can benefit machining, improving the service life, surface, and dimensional qualities of cutting tools. For the operation of a basic cutting fluid application system, it is necessary to consider the components that store, filter, and induce the flow of the cutting fluid. Some essential components are the reservoir, the filter, and the pump. Aiming to provide better machining conditions, this study presented the proposal for designing and manufacturing a cutting fluid application system for an academic laboratory's bench drill/milling machine. The experimental research characterized the study methodology, in which the system was built with the least possible resources. The main result showed that the system achieved the proposed objective. For pump selection, a system of equations was developed in Microsoft Excel software, which indicated a pressure variation in the flow system of approximately 15 kPa. After the three-dimensional modeling, a script for the manufacture and assembly of the system components was prepared, involving the processes of forming, machining and welding. Adaptations were made to the machine tool, such as the insertion of a limit switch that reduced the longitudinal displacement of the work table by 150 mm. An electronic command system was inserted to control the cutting fluid flow. In the testing phase, positive aspects were observed (reservoir position, absence of leaks, cutting fluid flow, among others) and negative aspects (cutting fluid return paths). Some further improvements proved possible, especially on a machine not designed to have a cutting fluid system.

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Optimization of the Multi-Facility Location Problem Using Widely Available Office Software

Cited by 9 publications

References 28 publications

Optimal Design of Reinforced Concrete Materials in Construction

Optimal Design of Reinforced Concrete Materials in Construction

Application of evolutionary algorithms to design economic flat slab buildings based on the intended function

Study of a Cutting Fluid Application System Adaptation on a Bench Milling Machine for an Academic Laboratory Environment

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