Designing a Layout Using Schmigalla Method Combined with Software Tool visTABLE

Banduka, Nikola; Mladineo, Marko; Eric, M.

doi:10.2507/ijsimm16(3)1.379

Cited by 5 publications

(4 citation statements)

References 10 publications

(19 reference statements)

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“…Distributing the points on a grid of equilateral triangles is the basis for the further planning of spatial allocation of objects. The application of the Bloch-Schmigalla method allows better organization of transport, flow of material, information or people, through shortening the distances between points characterized by the highest movement intensity [2,13]. This method was elaborated by W. Bloch from Switzerland, and further developed and modified in 1968 by H. Schmigalla.…”

Section: Bloch-schmigalla Methodsmentioning

confidence: 99%

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Application of the Bloch-Schmigalla Method to Optimize the Organization of the Process of Repairing Unmanned Ground Vehicles

Małachowski¹,

Ziółkowski²,

Lęgas³

et al. 2020

Adv. Sci. Technol. Res. J.

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The aim of this paper was to present the application of the Bloch-Schmigalla method in order to deploy work stations and create a military equipment repair model under field conditions. Proper allocation of repair stations is of crucial importance from the point of view of a given material's flow optimization. The aim of proper object allocation is such use of space that enables continuous, efficient and safe work. On the basis of numerical data, the advantages of using the Bloch-Schmigalla method for the optimal location of repair positions were presented. The proposal to optimize the organization of the repair process with using the Bloch-Schmigalla method entails multiple advantages e.g. decreasing the volume of transport activity size or time saving resulting from the rational arrangement of repair stations for unmanned ground vehicles.

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Section: Bloch-schmigalla Methodsmentioning

confidence: 99%

“…This method was elaborated by W. Bloch from Switzerland, and further developed and modified in 1968 by H. Schmigalla. The essence of this method is the distribution of the objects in a triangle grid disregarding the size, assuming the same distance between the objects [2,20].…”

Section: Bloch-schmigalla Methodsmentioning

confidence: 99%

Application of the Bloch-Schmigalla Method to Optimize the Organization of the Process of Repairing Unmanned Ground Vehicles

Małachowski¹,

Ziółkowski²,

Lęgas³

et al. 2020

Adv. Sci. Technol. Res. J.

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“…The triangular method is often combined with other methods for a faster and easier technique to find optimal solutions for the layout of the system elements considering the following limitations of the method [17]: it does not consider the workplace; it assumes that the distances between neighboring locations are equal; the cost per transport distance between locations is a constant; and calculations with more than 10 workstations becomes complex and time consuming. There is also a potential possibility of improving the method results by combining the method with software such as visTABLE, which was presented by Banduka et al [18].…”

Section: Methodsmentioning

confidence: 99%

Permaculture Zone Planning Using the Triangular Method

Babac¹,

Belić²

2018

e-GFOS

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Permaculture is a multifaceted, integrated, and ecologically harmonious method of designing human centered landscapes. One of the key elements in planning permaculture systems is zone planning. In this method, the locations of system elements are determined by two factors: (1) the number of times a human wants to visit a plant, animal, or structure, which corresponds to using the element; (2) the number of times a plant, animal, or structure should be visited by a human, which corresponds to servicing the element. These criteria for zone planning are fundamentally the same as the ones used for production system planning. In permaculture system planning, the criterion is related to interactions between humans and environmental elements, while in production systems, it is related to the number of interactions between system elements, such as machines or structure objects. The goal of planning in production systems is also the same as in permaculture, i.e., the determination of the most favorable spatial arrangement of the system elements. The goal of this study is to present a possible application of one of the production planning optimization methods for permaculture, i.e., zone planning. The optimization method-the Bloch-Schmigalla triangular method is based on the material flow according to the minimum transport distance criterion. PROJEKTIRANJE ZONA PERMAKULTURE METODOM TROKUTASažetak: Permakultura je višeslojna, integralna i ekološki skladna metoda oblikovanja krajolika, kojoj je u središtu čovjek. Jedan od ključnih elemenata u projektiranju permakulturnih sustava jest određivanje zona. Određivanje zona je metoda kojom se određuje lokacija elemenata sustava na temelju dvaju kriterija: (1) koliko puta čovjek treba posjetiti neku biljku, životinju ili građevinu, što se smatra korištenjem elemenata;(2) koliko puta biljka, životinja ili građevina treba biti posjećena od strane čovjeka, što se smatra održavanjem elemenata. Kriteriji određivanja zona su fundamentalno jednaki kriterijima korištenim u projektiranju proizvodnih sustava. U projektiranju permakulturnih sustava kriterij je povezan s interakcijom između čovjeka i elemenata sustava, dok je pri projektiranju proizvodnih sustava kriterij broj interakcija između različitih elemenata proizvodnog sustava, kao što su strojevi ili građevinski objekti. Projektiranje proizvodnih sustava ima isti cilj kao i prermakulturno projektiranje, a to je određivanje najpovoljnijeg prostornog rasporeda elemenata sustava. Svrha ovoga rada je prikazati mogućnost primjene jedne od optimizacijskih metoda projektiranja proizvodnih sustava u permakulturi za određivanje permakulturnih zona. Metoda optimizacije -Bloch-Schmigalla metoda trokuta, zasniva se na toku materijala prema kriteriju minimalne transportne udaljenosti.

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“…Since the 1970s, with the popularity of computers and the emergence of various intelligent algorithms, the problem of facility layout optimization has once again entered another period of vigorous development [6]. The use of intelligent algorithms to optimize the layout of facilities has completely changed past business processes, and intelligent algorithms are widely used to successfully solve the problem of facility layout design [7][8][9][10][11][12][13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Optimum Design of Ship Cabin Equipment Layout Based on SLP Method and Genetic Algorithm

Guo

Zhang

et al. 2019

Mathematical Problems in Engineering

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The engine room is the heart of a ship, and almost all of the main electromechanical equipment that supports the work on board can be found here. Finding a way to arrange the equipment in a small cabin space is an essential factor in the design and construction of a ship. However, in existing research, when an intelligent algorithm is used to optimize the design of a cabin, the established mathematical model is not comprehensive and the solution has not been evaluated. The optimal solution obtained is not feasible for the actual design of a ship. This can lead to unnecessary redesign work, which seriously affects design efficiency and increases design costs. In order to solve the above problems, this paper innovatively refers to a Systematic Layout Planning (SLP) method (normally applied to the layout of plant equipment) to the cabin equipment layout issue. The SLP method is used to quantitatively analyze the adjacency and logistics relationship between devices, and the mutual integration relationship between devices is obtained so that a preliminary layout scheme can be retrieved. The problem model is constructed by considering various factors such as the comprehensive relationship between the equipment and the stability of the cabin, and the corresponding objective function and constraint function are established to further design the variables, operators, and steps of the genetic algorithm. The initial solution obtained from the SLP method is used as part of an initial solution to the genetic algorithm, and the genetic algorithm is used to optimize the problem. Finally, the Analytic Hierarchy Process (AHP) is used to evaluate and optimize several groups of better schemes obtained by running multiple genetic algorithms and select the better schemes. The experimental design proves that the integrated design method has certain feasibility and superiority.

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Designing a Layout Using Schmigalla Method Combined with Software Tool visTABLE

Cited by 5 publications

References 10 publications

Application of the Bloch-Schmigalla Method to Optimize the Organization of the Process of Repairing Unmanned Ground Vehicles

Application of the Bloch-Schmigalla Method to Optimize the Organization of the Process of Repairing Unmanned Ground Vehicles

Permaculture Zone Planning Using the Triangular Method

Optimum Design of Ship Cabin Equipment Layout Based on SLP Method and Genetic Algorithm

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