Facility Layout Planning

2013 ◽  
pp. 212-223
Author(s):  
Hossein Hojabri ◽  
Elnaz Miandoabchi
Keyword(s):  
Mathematical Models ◽  
Planar Graph ◽  
Facility Layout ◽  
Layout Design ◽  
Simple Graph ◽  
Layout Planning ◽  
Adjacency Graph ◽  
Manufacturing Plants ◽  
Maximal Planar Graph ◽  
Facilities Layout

The weighted maximal planar graph (WMPG) appears in many applications. It is currently used to design facilities layout in manufacturing plants. Given an edge-weighted complete simple graph G, the WMPG involves finding a sub-graph of G that is planar in the sense that it could be embedded on the plane such that none of its edges intersect, and is maximal in the sense that no more edges can be added to it unless its planarity is violated. Finally, it is optimal in the sense that the resulting maximal planar graph holds the maximum sum of edge weights. In this chapter, the aim is to explain the application of planarity in facility layout design. The mathematical models and the algorithms developed for the problem so far are explained. In the meanwhile, the corollaries and theorems needed to explain the algorithms and models are briefly given. In the last part, an explanation on how to draw block layout from the adjacency graph is given.

scholarly journals PERANCANGAN TATA LETAK LABORATORIUM PAKAN DENGAN METODE COMPUTERIZED RELATIONSHIP LAYOUT PLANNING DI INDUSTRI PENGGEMUKAN SAPI

2019 ◽  
Vol 3 (2) ◽  
pp. 68
Author(s):  
Dian Fajarika ◽  
Rinda Gusvita ◽  
Novicha Sofriani
Keyword(s):  
Material Properties ◽  
Material Flow ◽  
Facility Layout ◽  
Layout Design ◽  
Raw Material ◽  
Work Flow ◽  
Layout Planning ◽  
Feed Quality ◽  
Distance Difference ◽  
Testing Room

Feed laboratory is a facility that guarantees feed quality in the feedlot industry. But the existence of this laboratory has not been fully considered both in terms of facilities and layout that ease the movement of workers. This research aims to analyze machine and raw material properties in the feed laboratory, to find total closeness rating between facilities according the need and  designing the layout of facilities in the laboratory that can streamline the material flow. The problem is how to design facility layout in feed laboratory which has different tool and machine characteristics in limited space, how to plan material flow that can minimize work flow. The method used is computerized relationship layout planning (CORELAP). The result obtained is the design of the laboratory layout by comparing the optimum distance on the inter-work track. The calculation value from allocation relationship diagram showed the biggest total closseness rating is the testing room. From the calculation of the distance difference layout design, it is known that the second alternative provides a better solution with the largest distance difference of 41.52 for space with condition should be close and the distance difference of -31.21 for space with the condition should not be close. Keyword: feed laboratory layout, feedlot industry, computherized relationship layout planning           

scholarly journals Planning of Shipyard Layouts in Madura State Polytechnics Using Corelap Algorithm

Techno Bahari ◽  
2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Muhammad Musta'in ◽  
Heni Siswanti ◽  
Anauta Lungiding Angga R ◽  
Arifah Amanatul Rohmah
Keyword(s):  
Flow Pattern ◽  
Material Handling ◽  
Facility Layout ◽  
Layout Design ◽  
Master Plan ◽  
Production Flow ◽  
Careful Planning ◽  
Layout Planning ◽  
Planning Tools

As a campus that has a maritime mission, Madura State Polytechnic has made a master plan for campus development by building a shipyard. This is also supported by the campus located on the beach. In preparing the shipyard, facilities are very important, so a careful planning is needed in doing the layout. In this paper, we will propose a layout process based on the production flow pattern of shipbuilding, comparison with the layout design using the CORELAP algorithm method, by calculating the percentage value of material handling and planning tools and facilities for the POLTERA shipyard. The facility layout planning obtained new and repaired building types with an area of ??5.16 hectares and a layout design with an L layout production flow pattern. The design had a material handling percentage value of 21.62%.

Holistic simulation-based optimisation methodology for facility layout design with consideration to production and logistics constraints

2021 ◽  
pp. 095440542110173
Author(s):  
Enrique Ruiz Zúñiga ◽  
Erik Flores García ◽  
Matías Urenda Moris ◽  
Masood Fathi ◽  
Anna Syberfeldt
Keyword(s):  
Material Handling ◽  
Facility Layout ◽  
Holistic Approach ◽  
Multiple Attribute Decision Making ◽  
Layout Design ◽  
Analytic Hierarchy ◽  
Facility Layout Design ◽  
Multiple Attribute ◽  
Simulation Based ◽  
Optimisation Methods

Facility layout design is becoming more challenging as manufacturing moves from traditionally emphasised mass production to mass customisation. The increasing demand for customised products and services is driving the need to increase flexibility and adaptability of both production processes and their material handling systems. A holistic approach for designing facility layouts with optimised flows considering production and logistics systems constraints seems to be missing in the literature. Several tools, including traditional methods, analytic hierarchy process, multiple-attribute decision making, simulation, and optimisation methods, can support such a process. Among these, simulation-based optimisation is the most promising. This paper aims to develop a facility layout design methodology supported by simulation-based optimisation while considering both production and logistics constraints. A literature review of facility layout design with simulation and optimisation and the theoretical and empirical challenges are presented. The integration of simulation-based optimisation in the proposed methodology serves to overcome the identified challenges, providing managers and stakeholders with a decision support system that handles the complex task of facility layout design.

scholarly journals Facility layout design – review of current research directions

2018 ◽  
Vol 10 (3) ◽  
pp. 70-79 ◽  
Author(s):  
Mateusz Kikolski ◽  
Chien-Ho Ko
Keyword(s):  
Facility Layout ◽  
Layout Design ◽  
Production Plant ◽  
Optimal Distribution ◽  
Layout Problem ◽  
Basic Principles ◽  
Research Directions ◽  
Design Review ◽  
Scopus Database ◽  
Optimisation Methods

Abstract The article discusses the topic of designing the optimal distribution of workstations within a production plant. A review focused on publications on this subject in the Scopus database, covering the years 1975–2017. The article presents a facility layout problem and basic principles of optimisation methods for the distribution of workstations within the factory. The author proposes a methodology for designing the optimal distribution of workstations using available optimisation methods and computer simulation. Also, directions for further research are indicated.

Research on the Facilities Layout Planning in MTO Manufacturing Industry Based on Genetic Algorithm

2013 ◽  
Vol 842 ◽  
pp. 695-702
Author(s):  
Ying Wang ◽  
You Rong Li ◽  
Yu Qiong Zhou
Keyword(s):  
Genetic Algorithm ◽  
Manufacturing Industry ◽  
Design Method ◽  
Facility Layout ◽  
Optimization Method ◽  
Market Demand ◽  
Layout Planning ◽  
Manufacturing Enterprises ◽  
Make To Order ◽  
Systematic Layout Planning

To enlarge production to meet the market demand, its nessasery to improve the present facility layout for MTO (Make-To-Order) manufacturing enterprises. This paper tries to design a optimization method based on genetic algorithm for the facility layout of MTO enterprises. Firstly, SLP (systematic layout planning) was applied to analyze the material and non-material flow interrelation of the workshop. Secondly, a relatively optimum layout was determined after using fuzzy hierarchy estimation to evaluate the schemes. Then the scheme was optimized with genetic algorithm. The result shows that the optimized logistics transport load is obviously less than before. This design method based on genetic algorithm (GA) is proved feasible and effective in the optimization of facility layout.

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