scholarly journals Monarch Butterfly Optimization for Facility Layout Design Based on a Single Loop Material Handling Path

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 154 ◽  
Author(s):  
Minhee Kim ◽  
Junjae Chae

Facility layout problems (FLPs) are concerned with the non-overlapping arrangement of facilities. The objective of many FLP-based studies is to minimize the total material handling cost between facilities, which are considered as rectangular blocks of given space. However, it is important to integrate a layout design associated with continual material flow when the system uses circulating material handling equipment. The present study proposes approaches to solve the layout design and shortest single loop material handling path. Monarch butterfly optimization (MBO), a recently-announced meta-heuristic algorithm, is applied to determine the layout configuration. A loop construction method is proposed to construct a single loop material handling path for the given layout in every MBO iteration. A slicing tree structure (STS) is used to represent the layout configuration in solution form. A total of 11 instances are tested to evaluate the algorithm’s performance. The proposed approach generates solutions as intended within a reasonable amount of time.

2018 ◽  
Vol 2 (1) ◽  
pp. 45
Author(s):  
Dede Muslim ◽  
Anita Ilmaniati

Abstract – Unplanned layout and inefficient material flow between work units can lead to increased cost. PT Transplan Indonesia's current material flow path is inefficient with material flow distance 115.5 meters and material handling cost that has not been taken into account. This study aims to find out how big the role of facility layout design in cutting the distance of material transfer and pressing the cost of material handling. The method used in this research is Systematic Layout Planning (SLP) approach, which is comparing the distance of material transfer between initial layout with proposed layout. The results of this study indicate that the distance of the material flow path on the production floor with proposed layout changed to 71,7 meters, with material handling cost per meter reduced from Rp. 1,105,954 to Rp. 712,402 or decrease as much as 35%. Based on the results of the research, the layout of the proposal is considered more effective and efficient because it can reduce the distance of material transfer and reduce the cost of material handling on the packing/shipping floor.Keywords: Layout Design; Material handling cost; Systematic Layout Planning (SLP)


2014 ◽  
pp. 107-116
Author(s):  
Francesco Longo ◽  
Giovanni Mirabelli ◽  
Enrico Papoff

The paper proposes the results of a research project developed by the authors in collaboration with a production system working in the field of manufacturing wood products. The first step of the project was an accurate analysis of the system and the design of new production documents in order to collect data about the system itself. The collected data have been used to propose an initial solution of plant lay-out. The second step of the project was the construction of a simulation model. The model has been used to find an optimal plant- layout configuration by means of genetic algorithms with the goal of material handling cost and shop order flow time minimization.


2021 ◽  
Vol 10 (2) ◽  
Author(s):  
Beni Harma ◽  
Helga Ika Sudra

Activities carried out in the warehouse include material handling. Generally, the costs involved in material handling activities are quite large. One method that can be used in managing the layout of raw material placement in raw material warehouses is the class based storage method. Class based storage is a policy that divides storage into three classes A, B and C based on Pareto law. Pareto law is the principle of putting items that have the greatest accessibility near the Input-Output point. The distance of material handling to the initial layout raw material warehouse is 3,513,337 meters / month and the material handling costs are Rp. 134,534,765 / month, because the initial layout of the raw material warehouse still uses random storage and the raw materials that are widely used are not placed close to the intake floor of the production, so that the distance to get raw materials for production needs is far. After the re-layout design was made based on the placement of raw materials in the class based storage method, the material handling transfer distance was reduced to 2,644,459 meters / month and the material handling cost for the repair raw material warehouse layout fell to Rp. 99,949,520 / month. In other words, there was a decrease in material handling distance by 25% and material handling costs by 26%.


2013 ◽  
Vol 315 ◽  
pp. 755-761 ◽  
Author(s):  
Kah Song Tan ◽  
Noor Ajian Mohd-Lair ◽  
Stephen Yong Nai-Vun ◽  
James Yong Chau-Leong

The general Facility Layout Problem deals with the arrangement of machines within the facility based on the constraints such as material flow distance, volume of flow of products, material handling cost and operation sequence of product. The facility layout problem is directly linked with the efficiency of the facility or the manufacturing line. The objective of this project is to design a simulation based methodology experiment on designing an optimized facility layout and evaluating the proposed alternative layouts using ARENA simulation. This project is conducted at Benteng Motor Sdn. Bhd. in Kota Kinabalu, Sabah. Currently, the company is planning to expand their manufacturing plant and hence the company needs an optimized facility layout to maximize the product capacity and manufacturing throughput time on a minimum utilization of resources environment. An eight steps simulation methodology is being proposed to design an optimized facility layout. A manufacturing re-engineering scenario has been developed to improve the existing system. The proposed scenario was evaluated using Arena simulation student package. The scenario has significantly increases the production capacity up to 225%, decrease the manufacturing throughput time by 19% as well as increase the utilization of majority of the manufacturing resources more than 200%.


2020 ◽  
Vol 4 (2) ◽  
pp. 100
Author(s):  
Widy Setyawan ◽  
Fahmi Reza Fauzi

Abstract— U.D. BAROKAH is engaged in the fulfillment of agricultural needs that will move products from the old warehouse to the new warehouse, products include: fertilizers (subsidies and non-subsidies), seeds, and pesticides. The old warehouse with an area of 150m2 and a new warehouse that has an area of 400m2. To streamline the new space and hopefully can reduce the level of damage to the product then, layout layout design is made using 2 methods of ABC classification and Class Based Storage Method. The product is placed in accordance with its activities, looking at the demand of November 2017 which shows the percentage value close to grade A 80%, B15%, and C5% grade. So make the area block based on the class, the area of the block area used class A 49m2, B 14m2, and C10m2. From the results calculated to determine the effectiveness of the warehouse mathematically by using the calculation of Material Handling Cost, the result of the calculation is Rp 375.321,60 per month.Keywords : ABC Classification , Class Based Storage, and Material Handling Cost Abstrak— U.D. BAROKAH yang bergerak dalam bidang pemenuhan kebutuhan pertanian yang akan memindahkan produk dari gudang lama ke gudang yang baru, produk meliputi: pupuk (subsidi dan non subsidi), bibit, dan pestisida. Gudang lama dengan luas 150m2 dan gudang baru yang mempunyai luas 400 m2. Untuk mengefektifkan luas ruangan baru dan diharapkan bisa menekan tingkat kerusakan pada produk maka, perancangan tata letak layout dibuat menggunakan 2 metode yaitu klasifikasi ABC dan Metode Class Based Storage. Produk ditempatkan sesuai dengan aktifitasnya, melihat dari permintaan bulan November 2017 yang menunjukan nilai persentase mendekati untuk kelas A 80%, B 15% , dan kelas C 5%. Sehingga di buatlah blok area berdasarkan kelas tersebut, luas block area yang terpakai kelas A 49 m2, B 14m2, dan C 10 m2. Dari hasil tersebut dihitung untuk mengetahui efektifitas gudang secara matematis dengan menggunakan perhitungan Ongkos Material Handling, hasil dari pehitungan tersebut adalah Rp 375.321,60 per bulan.Kata kunci : Klasifikasi ABC, Class Based Storage, Ongkos Material Handling


2015 ◽  
Vol 786 ◽  
pp. 311-317
Author(s):  
P.V. Arulkumar ◽  
M. Saravanan

An importance of material handling is the movement of materials at the minimum cost and also an effective material handling system reduces the manufacturing cost. The objective of this paper is to reduce the material handling cost by placing the production equipments within the cell in the given fixed area layout. Few relative factors are considered while designing the layout. These factors help in improving the layout design. While designing the layout some higher cost assigned for some important moves. A benchmark problem has solved by using Artificial Bee Colony (ABC) and Particle Swarm Optimization (PSO) algorithms. The results are tabulated, compared, and analyzed. Based on that analysis the PSO algorithm performed well and given better placement of machines with minimum material handling cost.


This chapter describes the role of reprocessing cell layout design in reducing the material handling cost at the used product post-disassembly stage. The chapter begins with the discussion of material handling cost issues encountered at the reusable parts reprocessing phase. Then, related studies in the literature are discussed in the background section. Next, the focal problem of this chapter is stated in the problem statement section. A detailed description about the approach (i.e., the hybrid ant system) can be found in the proposed methodology section. Right after this, an illustrative numerical example and the corresponding comparison study are detailed in the experimental study section. The potential research directions regarding the main problem considered in this chapter are highlighted in the future trends section. Finally, the conclusion drawn in the last section closes this chapter.


Author(s):  
Enrique Ruiz Zúñiga ◽  
Erik Flores García ◽  
Matías Urenda Moris ◽  
Masood Fathi ◽  
Anna Syberfeldt

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.


Author(s):  
Safiye Turgay

Facility layout design problem considers the departments’ physcial layout design with area requirements in some restrictions such as material handling costs, remoteness and distance requests. Briefly, facility layout problem related to optimization of the layout costs and working conditions. This paper proposes a new multi objective simulated annealing algorithm for solving of the unequal area in layout design. Using of the different objective weights are generated with entropy approach and used in the alternative layout design. Multi objective function takes into the objective function and constraints. The suggested heuristic algorithm used the multi-objective parameters for initialization. Then prefered the entropy approach determines the weight of the objective functions. After the suggested improved simulated annealing approach applied to whole developed model. A multi-objective simulated annealing algorithm is implemented to increase the diversity and reduce the chance of getting layout conditions in local optima.


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