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Journal articles on the topic 'Material handling'

Author: Grafiati

Published: 4 June 2021

Last updated: 31 January 2023

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1

Ammons, Jane C., and Leon F. McGinnis. "Advanced Material Handling." Applied Mechanics Reviews 39, no. 9 (September 1, 1986): 1350–55. http://dx.doi.org/10.1115/1.3149525.

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With the advent of automation in manufacturing and warehousing, material handling is being seen as a focal point of total system integration and control. In contrast to mechanical design problems, this paper addresses current issues in the design and operation of material handling systems from an overall systems viewpoint. Topics reviewed include automated storage and retrieval systems, order picking, order sortation and accumulation, and transportation. The purpose is to overview essential issues, describe representative research, and identify critical needs for future study.

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BALWINDER SINGH, BALWINDER SINGH, and JASWINDER SINGH JASWINDER SINGH. "Different Evaluation Techniques for Manual Material Handling." International Journal of Scientific Research 2, no. 8 (June 1, 2012): 153–54. http://dx.doi.org/10.15373/22778179/aug2013/51.

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3

Wen, Cui Ping, Kai Huang, and Wei Feng Zhu. "Research on Operation Optimization Problem of Material Handling System for Large Ship." Applied Mechanics and Materials 347-350 (August 2013): 3740–44. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.3740.

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Material supply isthe basic guarantee for the large ship sailing to ocean. In order to improve the efficiency of the supply of the large ship, the support of materials handling system is needed. According to the typical material handling system of the large ship, with the material handlings time shortest as the decision goal and the handling sequence as the decision variable, the analysis and construction of the model for optimizing the systems operation is given in this paper. The improved genetic algorithm is put forward. The specific model is also given and its proved that the analysis and modeling method in this paper can effectively improve the efficiency of the material handling of the large ships.

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4

Saini, Kohini. "Stair Climbing Material Handling Equipment." International Journal for Research in Applied Science and Engineering Technology 9, no. 5 (May 31, 2021): 842–48. http://dx.doi.org/10.22214/ijraset.2021.34270.

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5

Kader Mazouz, A., and Chingping Han. "Flexible automated material handling system." Journal of Mechanical Working Technology 20 (September 1989): 433–40. http://dx.doi.org/10.1016/0378-3804(89)90051-x.

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6

., Smitha M. "AUTOMATED MATERIAL HANDLING USING RFID." International Journal of Research in Engineering and Technology 04, no. 20 (August 25, 2015): 1–2. http://dx.doi.org/10.15623/ijret.2015.0420001.

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7

SAKAI, Satoru. "Heavy Material Handling Agricultural Robots." Journal of the Society of Mechanical Engineers 113, no. 1100 (2010): 527–30. http://dx.doi.org/10.1299/jsmemag.113.1100_527.

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8

Ito, Teruaki, and Effendi Bin Mohamad. "210 Material Handling Simulation Model for AsSi mbly Production Line." Proceedings of Conference of Chugoku-Shikoku Branch 2011.49 (2011): 55–56. http://dx.doi.org/10.1299/jsmecs.2011.49.55.

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9

Ito, Teruaki, and Effendi Bin Mohamad. "312 Comparison of material handling solutions in assembly production line." Proceedings of Manufacturing Systems Division Conference 2011 (2011): 81–82. http://dx.doi.org/10.1299/jsmemsd.2011.81.

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10

Alkatiri, Mush’ab Syakieb, Ratna Mira Yojana, and Winnie Septiani. "PERANCANGAN PERBAIKAN TATA LETAK GUDANG BAHAN BAKU DENGAN MENGGUNAKAN METODE CLASS-BASED PADA PT. KURABO MANUNGGAL TEXTILE." JURNAL PENELITIAN DAN KARYA ILMIAH LEMBAGA PENELITIAN UNIVERSITAS TRISAKTI 7, no. 2 (July 30, 2022): 335–51. http://dx.doi.org/10.25105/pdk.v7i2.14222.

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BSTRAK Kurabo Manunggal Textile merupakan pabrik pemintalan benang dengan bahan baku serat kapas. Pada gudang bahan baku, terdapat 12 jenis bahan baku yang terbagi menjadi 3 sub–kelompok. Pemindahan bahan baku dilakukan dengan material handling berupa forklift. Pada kondisi awal, penyimpanan bahan baku dilakukan secara acak. Hal ini menyebabkan operator kesulitan dalam pengambilan bahan baku. Rata-rata utilitas Gudang hanya 37% dan waktu material handling mencapai 86,47jam. Melihat permasalahan tersebut, penelitian ini dirancang dengan tujuan memperbaiki layout Gudang bahan baku sehingga dapat meminimasi waktu material handing bahan baku. Metode perancangan perbaikan menggunakan software Promodel dan class-based storage dengan mempertimbangkan layout gudang bahan baku serta jumlah material handling. Diusulkan 3 skenario perbaikan, yaitu: relokasi penyimpanan bahan baku sesuai hasil evaluasi dengan menggunakan class-based storage, menambah jumlah material handling, dan menggabungkan skenario kedua skenario. Hasil simulasi menunjukan skenario ketiga yaitu penggabungan skenario 1 dan skenario 2 terpilih menjadi skenario terbaik karena memiliki persentase penurunan waktu material handing paling besar yaitu 28,85%, dengan waktu simulasi sebesar 61,52 jam. ABSTRACT [Title: Design of Raw Material Warehouse Layout Improvement Using Class-Based Method at PT. Kurabo Manunggal Textile] PT. Kurabo Manunggal Textile is a yarn spinning factory with cotton fiber as the raw material. There are 12 types of raw materials in the raw material warehouse divided into three sub-groups. The transfer of raw materials is carried out by material handling in the form of a forklift. In the initial conditions, the storage of raw materials was carried out randomly. This causes the operator difficulty in taking raw materials. The average warehouse utility is only 37% and material handling time reaches 86.47 hours. Seeing these problems, this research was designed with the aim of improving the layout of the raw material warehouse so that it can minimize the material handling time of raw materials. The improvement design method uses Promodel software and class-based storage by considering the layout of the raw material warehouse and the amount of material handling. Three improvement scenarios are proposed: relocating raw material storage according to the evaluation results using class-based storage, increasing the amount of material handling, and compare the two scenarios. The simulation results show that the third scenario, which is the combination of scenario 1 and scenario 2, was chosen as the best scenario because it has the most significant percentage decrease in material handing time, which is 28.85%, with a simulation time of 61.52 hours

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11

S, Mohamed Ismail, and Muthukumar K. "Risk Assessment in Manual Material Handling of an Edible Oil Company." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 774–80. http://dx.doi.org/10.31142/ijtsrd23112.

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12

Singh, Jaswinder. "Multi-Response Optimization of Manual Material Handling Tasks through Utility Concept." Bonfring International Journal of Industrial Engineering and Management Science 4, no. 2 (May 30, 2014): 83–89. http://dx.doi.org/10.9756/bijiems.6034.

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13

Telek, Péter. "Material handling model of production workplaces." Advanced Logistic Systems - Theory and Practice 16, no. 1 (July 8, 2022): 51–62. http://dx.doi.org/10.32971/als.2022.005.

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Nowadays, most of the manufacturing procedures use different workplaces to realize given production steps. At the production workplaces different material handling solutions are applied, however the selection of the suitable handling equipment is not optimized and based on experimental knowledge. The research presented in this paper targets to develop a model which can help to select the most suitable material handling equipment for different production workplaces. This paper gives an overview about the types of the workplaces in the aspects of material handling, the principals of the model building process, the structure of the possible model versions and presents an example for the applicability of the conception.

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14

Telek, Péter, and Ákos Cservenák. "Planning of Material Handling : Literature Review." Advanced Logistic Systems - Theory and Practice 13, no. 2 (2019): 29–44. http://dx.doi.org/10.32971/als.2020.003.

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Nowadays, there are many well proved, effective processes to solve planning tasks in the field of material handling used advanced calculations forms and software. Unfortunately, most of them are used for individual tasks, so the applicability of their results is limited. The Institute of Logistics of the University of Miskolc has been working on integrated planning of handling machines for decades, where the individual planning tasks have to be solved together in a complex process. The main aim of this paper to give an overview about the state of the art of the planning of material handling, based on a literature review of the Science Direct publication database. As a result of this research we can determine some new direction for the planning of material handling.

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15

Smith, J. S., B. A. Peters, and A. Srinivasan. "Job shop scheduling considering material handling." International Journal of Production Research 37, no. 7 (May 1999): 1541–60. http://dx.doi.org/10.1080/002075499191120.

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16

KROEMER, K. H. E. "Personnel training for safer material handling." Ergonomics 35, no. 9 (September 1992): 1119–34. http://dx.doi.org/10.1080/00140139208967386.

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17

Djordjevich, A., S. K. Tso, and J. Zhang. "Extended range tactility in material handling." International Journal of Production Research 38, no. 17 (November 2000): 4357–67. http://dx.doi.org/10.1080/00207540050205145.

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18

Banks, Jerry. "The simulation of material handling systems." SIMULATION 55, no. 5 (November 1990): 261–70. http://dx.doi.org/10.1177/003754979005500503.

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19

SATO, Terukazu, Susumu TARAO, and Toshihide NAKAJIMA. "Prototyping of Omnidirectional Material Handling Robot." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2016 (2016): 2P2–09b5. http://dx.doi.org/10.1299/jsmermd.2016.2p2-09b5.

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20

Rajesh, R. "Manual Material Handling: A Classification Scheme." Procedia Technology 24 (2016): 568–75. http://dx.doi.org/10.1016/j.protcy.2016.05.114.

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21

Roels, Johan, and Martin Stephan. "Cleaning of dry material handling installations." Trends in Food Science & Technology 20 (January 2009): S57—S59. http://dx.doi.org/10.1016/j.tifs.2009.01.017.

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22

BYERLY, D. W. "Handling Acid-Producing Material During Construction." Environmental & Engineering Geoscience II, no. 1 (March 1, 1996): 49–57. http://dx.doi.org/10.2113/gseegeosci.ii.1.49.

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23

Van Dyke Parunak, H., James Kindrick, and Bruce W. Irish. "A connectionist model for material handling." Robotics and Computer-Integrated Manufacturing 4, no. 3-4 (January 1988): 643–54. http://dx.doi.org/10.1016/0736-5845(88)90036-1.

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24

Hosni, Yasser A. "Inference engine for material handling selection." Computers & Industrial Engineering 17, no. 1-4 (January 1989): 79–84. http://dx.doi.org/10.1016/0360-8352(89)90040-5.

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25

Telek, Peter. "ROLE OF WORKPLACE HANDLING PARAMETERS IN THE MATERIAL HANDLING EQUIPMENT SELECTION." Journal of Production Engineering 25, no. 1 (June 30, 2022): 53–58. http://dx.doi.org/10.24867/jpe-2022-01-053.

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Usually, the handling characterisation of workplaces is not taken into consideration during the handling equipment selection process, so the handling solutions are not optimized and require additional modifications. If we could exactly define the handling parameters of workplaces and take them into account before the selection of the handling equipment, the result will be better suit. In this paper, the handling parameters of production workplaces and their effects to the handling solutions are presented. The focus is on the external handling process and the relation among workplace and handling equipment parameters, and an example is also presented.

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26

Wan, Jian Ye, Xin Jiang, and Yun Peng Wang. "Research and Application of Genetic Algorithm in Material Handling Route for Assembly Line of Airbag." Advanced Materials Research 299-300 (July 2011): 1217–20. http://dx.doi.org/10.4028/www.scientific.net/amr.299-300.1217.

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According to handling route of assembly line of airbag optimization problem, handling path planning mathematical model is established. Based on natural coding genetic algorithm, combining with JH company assembly line of airbag layout and the actual situation of material handling, using MATLAB software to realize the genetic algorithm, production logistics fields materials handling route problem in the optimization method is put forward. To solve production enterprise assembly line material handling route optimization problem, and has certain directive role.

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27

Primasari, Monica Sandra, and Chandra Dewi Kurnianingtyas. "ANALISIS POSTUR KERJA DAN MANUAL MATERIAL HANDLING PADA AKTIVITAS PEMINDAHAN MATERIAL DI BENGKEL BUBUT BP." Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) 16, no. 2 (August 24, 2022): 124. http://dx.doi.org/10.22441/pasti.2022.v16i2.001.

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Aktivitas pemindahan material pada bengkel bubut BP dilakukan secara manual oleh 2 pekerja. Kegiatan tersebut menimbulkan musculoskeletal disorders yang tersaji pada hasil kuesioner Nordic Body Map. Maka dari itu, diperlukanlah penelitian lebih lanjut untuk mengetahui seberapa besar tingkat risiko yang berkaitan dengan postur kerja dan manual material handling agar pekerja tidak mengalami cedera lebih lanjut dan aktivitas menjadi aman karena memiliki tingkat risiko musculoskeletal disorders yang rendah. Analisis mengenai postur kerja menggunakan metode REBA (Rapid Entire Body Assessment) dan manual handling menggunakan Manual Handling Assessment Charts (MAC Tool). Hasilnya adalah kedua operator memiliki postur kerja dan manual handling dengan tingkat risiko cedera yang tinggi. Usulan perbaikan yang mampu diimplementasikan berkaitan dengan postur tubuh adalah perbaikan postur kerja dengan memperhatikan nilai REBA. Perbaikan juga berkaitan dengan manual material handling berupa mereduksi jarak perpindahan, mengeliminasi rintangan rute perpindahan, dan memperbaiki pencahayaan lingkungan kerja.

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Li, Feng, and Duan Feng Han. "Study on the Intra-Ship Material Handling System." Applied Mechanics and Materials 397-400 (September 2013): 2618–21. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2618.

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The efficiency of intra-ship material handling system has a significant impact on naval ship operational effectiveness. Previous ship designs did not consider material handling systems very well. This paper focuses on material handling system as a man-machine-environment system, since material handling issues are global and complex. The methods of analysis and simulation are discussed, which are utilized for the operation process of material handling system. The optimization of operation process, transportation route and arrangement are then summarized. On this basis, the evaluation index system of material handling system is set up using Delphi method.

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Özdoğru, Ünsal, and Tayfur Altiok. "Continuous material flow systems: analysis of marine ports handling bulk materials." Annals of Operations Research 231, no. 1 (September 6, 2012): 79–104. http://dx.doi.org/10.1007/s10479-012-1201-7.

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30

Sugito, Ery, Rika Ampuh Hadiguna, and Rizki Prakasa Hasibuan. "Identification Material Distribution Process to Improve Material Handling Performance Using Risk Matrix Analysis (Case Study at Paper Manufacturing)." Annales de Chimie - Science des Matériaux 45, no. 5 (October 31, 2021): 369–78. http://dx.doi.org/10.18280/acsm.450502.

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Material handling activities within a company have a very important role, especially in warehousing activities ranging from the process of receiving goods, storing goods to product distribution. To reduce the waste that occurs in material handling, a lean manufacturing approach is used with the Value Stream Mapping (VSM) method for mapping the flow of material handling activities and the flow of information on material handling activities. Waste that occurs in the material handling work process in the printing sheets area includes waiting, excess processing, and transportation. With Root Cause Analysis and Risk Matrix, it is known that the most influential root causes of waste are inadequate human resources, material handling tools in preparing goods and process break quantity from standard pallets, and distribution of areas far from the printing sheets warehouse area. Recommendations for improvement proposals offered are, providing additional material handlers, material handling tools for activities within one department by considering distance and time, reducing break quantity requests and temporary locations for receiving printing sheets in the production area, as well as collaborating with suppliers to arrange the arrival schedule of printing sheets material by communicating and updating regularly with the forwarder if the frequency of delays is too frequent. So that if it is repaired and applied it will improve the performance of the material handling.

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Chang, Dae S., and Sang C. Park. "Development of Simulator for a Material Handling System Analysis of Assembly Line." International Journal of Computer Theory and Engineering 7, no. 1 (February 2014): 70–75. http://dx.doi.org/10.7763/ijcte.2015.v7.933.

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Arulkumar, P. V., and M. Saravanan. "Minimising Material Handling Cost Using Relative Factors for Fixed Area Cell Layout Problem." Applied Mechanics and Materials 786 (August 2015): 311–17. http://dx.doi.org/10.4028/www.scientific.net/amm.786.311.

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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.

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Mojžiš, Miroslav, Marek Ivan, and František Varga. "Analysis of Material Flows in a Selected Company." Acta Technologica Agriculturae 16, no. 1 (March 1, 2013): 14–17. http://dx.doi.org/10.2478/ata-2013-0004.

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Abstract The issue of material flows requires resolving a wide range of answers to questions that are part of material handling. It is important to know what the subject of handling is, what means a given material will be handled with, in what amount and time, by what route, and how this handling will be performed. We must not forget the costs involved, either in handling or storage. The answer to these questions is given by the analysis of material flows, which is dealt with during the optimisation of material handling in Bang Joo Electronics Slovakia spol. s r. o. (private limited company).

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Chee, Sandra, Jonathan Mangum, Teesit Teeramongkolgul, Stephanie Tan, and Paul Schneider. "Clinician preferences for orthodontic bracket bonding materials: a quantitative analysis." Australasian Orthodontic Journal 38, no. 1 (June 1, 2022): 173–82. http://dx.doi.org/10.2478/aoj-2022-0019.

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Abstract Background and objectives: Many orthodontic bracket-bonding materials are available for clinical use. The current study aimed to assess the preferences and factors contributing to the clinical choice of bracket bonding material. Methods: Eight bracket bonding materials were trialled by 15 participants. The handling properties and overall ease of use of each material were scored by the participants on a Visual Analogue Scale (VAS). The participants also responded to a questionnaire regarding the use and perceptions of resin-modified glass ionomer cements (RMGICs) for bracket bonding. A quantitative analysis was conducted on the responses to the questionnaire. Results: Of all materials trialled, there was a consistent preference for the handling of resin composite (RC) materials. Fuji® II LC was the highest rated RMGIC material and was considered similar to RC materials for ease of handling. Conclusions: Fuji® II LC may be a suitable alternative to RC materials for orthodontic bracket bonding. Further research is required to assess and produce bonding materials possessing anti-cariogenic properties along with comparable handling properties to bracket bonding materials that are currently preferred.

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35

Muharni, Yusraini, Ade Irman S M, and Yogi Noviansyah. "Perancangan Tata Letak Gudang Barang Jadi Menggunakan Kebijakan Class-Based Storage dan Particle Swarm Optimization Di PT XYZ." JURNAL TEKNIK INDUSTRI 10, no. 3 (November 30, 2020): 200–209. http://dx.doi.org/10.25105/jti.v10i3.8405.

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Intisari—Dalam proses penyimpanan pada gudang barang jadi PT XYZ menggunakan material handling berupa gantry crane, pada gudang barang jadi tidak adanya sistem baku dalam penyimpanan komponen Truss Bridge 60 (TB-60). Menurut prinsip tata letak gudang, komponen dapat disusun sesuai ukuran yang sama. Peletakkan komponen saat ini hanya berdasarkan slot yang kosong pada gudang. Hal ini menyebabkan jarak tempuh material handling menjadi lebih jauh yang berarti kurang efektif dan efisien. Perancangan tata letak gudang di PT XYZ ini bertujuan untuk mendapatkan ongkos material handling yang optimal dengan cara meminimasi jarak material handling sehingga kegiatan penyimpanan dapat berjalan secara efektif dan efisien. Diperlukan suatu penyelesaian menggunakan metode Class-Based Storage dan Particle Swarm Optimization yang diharapkan mendapatkan hasil tata letak yang optimal dengan memperoleh total ongkos material handling yang paling minimal. Perhitungan jarak material handling menggunakan pengukuran rectilinear. Hasil perhitungan ongkos material handling yang diperoleh pada layout eksisting adalah sebesar Rp 13.102.152,88 dengan ongkos material handling permeternya sebesar Rp 34.093,51/meter, pada layout usulan 1 menggunakan metode Class-Based Storage diperoleh ongkos material handling sebesar Rp 12.893.810,79 dengan ongkos material handling permeternya sebesar Rp 36.962,17/meter dan pada layout usulan 2 menggunakan metode particle swarm optimization diperoleh ongkos material handling sebesar Rp 12.068.528,51 dengan ongkos material handling permeternya sebesar Rp 34.093,51/meter. Maka ongkos material handling yang diperoleh dari layout eksisting dengan layout usulan 1 mengalami penurunan sebesar 1,59% dan pada layout eksisting dengan layout usulan 2 mengalami penurunan sebesar 7,89%. Usulan tata letak gudang barang jadi yang terbaik adalah dengan menggunakan metode Particle Swarm Optimization.Abstract—In the storage process in the finished goods warehouse PT XYZ uses material handling consisting of gantry cranes, in the finished goods warehouse there is no raw material system in the storage of Truss Bridge 60 (TB-60) components. According to the warehouse layout principle, components can be arranged according to the same size. Laying components is currently only available an empty slot in the warehouse. This causes the material handling distance to be further which means it is less effective and efficient. The design of the warehouse layout at PT XYZ aims to obtain optimal material handling costs by minimizing material handling distances, thus making storage locations run effectively and efficiently. A place is needed using the Class-Based Storage method and the herd particle optimization which is expected to get optimal layout results by obtaining the minimum total material handling costs. Calculation of material handling distance using rectilinear measurements. The results of the calculation of material handling costs obtained in the existing layout are Rp. 13,102,152.88 with the material handling fees per Rp. 12,893,810, 79 with the material handling cost per meter of Rp 36,962.17 / meter and in the layout valuing 2 using the particle swarm optimization method to obtain material handling costs of Rp 12,068,528.51 with the material handling cost of Rp 34,093.51 / meter. Then the cost of material handling obtained from the existing layout with the layout received 1 increased by 1.59% and in the existing layout with the layout received 2 an increase of 7.89% decrease. The best layout for finished goods warehouse is to use the Particle Swarm Optimization method.

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36

Pakpahan, Eka K. A., Sonna Kristina, Ari Setiawan, and Evelin Merlians. "Job shop scheduling considering material handling process." MATEC Web of Conferences 204 (2018): 07008. http://dx.doi.org/10.1051/matecconf/201820407008.

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This paper discussed job shop scheduling considering material handling process. This process is a very important aspect on a flexible manufacturing system, where raw material or semi-finished goods are delivered from one processing point unto another by utilizing automated material handling equipment, functioned as shared resources. The starting time of each process is affected by the ability of the material handling equipment to conduct timely delivery from one point to another, therefore considering this process unto scheduling is important to enable planner to get precise estimation of the process makespan. We take the case where the flexible manufacturing system is consisted of four identical machines; each has the capability of processing various jobs due to the various cutting tools installed on their tools magazine. Jobs are dispatched based on longest processing time rule and then allocated to machine which has minimum load. Being a shared resource, material handling equipment has pick-up and delivery priority rule when handling multiple requests. The two most common rules are longest waiting and closest entity. This paper will analyzed the impact of each rule to the process makespan and material handling equipment utilization. Simulation model were built using Promodel to give decision maker better visualization of the system under consideration.

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37

Dobrzanska, M., and P. Dobrzanski. "Simulation modelling of material handling using AGV." IOP Conference Series: Materials Science and Engineering 1199, no. 1 (November 1, 2021): 012015. http://dx.doi.org/10.1088/1757-899x/1199/1/012015.

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Abstract Modern production systems are mainly characterized by, among others, the use of automated transport systems. One of the components of such transport systems are automated guided vehicles (AGV). These vehicles are primarily used in the material handling due to their greater efficiency, flexibility and lower operating costs. The main aim of the article is to present the possibility of using simulation modelling in the analysis of internal transport operations using automated guided vehicles.

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38

Jakkula, Vijay Rao. "Benefits of Ergonomics in Industrial Material handling." Safety and Health at Work 13 (January 2022): S145. http://dx.doi.org/10.1016/j.shaw.2021.12.1204.

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39

UTSUMI, Ryoji. "Questionnaire on handling technology of bulk material." Journal of the Society of Powder Technology, Japan 27, no. 2 (1990): 85–90. http://dx.doi.org/10.4164/sptj.27.85.

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40

Nakamura, Akinori. "I. Technical Trend of Material Handling System." IEEJ Transactions on Industry Applications 114, no. 2 (1994): 115–16. http://dx.doi.org/10.1541/ieejias.114.115.

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41

Hirai, Shinichi, and Zhongkui Wang. "Soft Robotic Hands for Food Material Handling." Journal of the Robotics Society of Japan 37, no. 6 (2019): 489–94. http://dx.doi.org/10.7210/jrsj.37.489.

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Yoshikawa, S. "Material handling system in apparel distribution centers." Sen'i Kikai Gakkaishi (Journal of the Textile Machinery Society of Japan) 46, no. 3 (1993): P140—P144. http://dx.doi.org/10.4188/transjtmsj.46.3_p140.

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Mo, Seung-Min, Jong-Seon Kwag, and Myung-Chul Jung. "Literature Review on One.Handed Manual Material Handling." Journal of the Ergonomics Society of Korea 29, no. 5 (October 30, 2010): 819–29. http://dx.doi.org/10.5143/jesk.2010.29.5.819.

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SUZUKI, Hiroto, Shinya TOKITA, Takako SORIMACHI, and Kazuho YOSHIMOTO. "A Layout Technique Considering Material Handling Aisles." Transactions of the Japan Society of Mechanical Engineers Series C 73, no. 728 (2007): 1259–64. http://dx.doi.org/10.1299/kikaic.73.1259.

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Berman, S., and Y. Edan. "Decentralized autonomous AGV system for material handling." International Journal of Production Research 40, no. 15 (January 2002): 3995–4006. http://dx.doi.org/10.1080/00207540210146990.

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Green, James C., Jim Lee, and Theodore A. Kozman. "Managing lean manufacturing in material handling operations." International Journal of Production Research 48, no. 10 (April 24, 2009): 2975–93. http://dx.doi.org/10.1080/00207540902791819.

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Shinohara, Toshiaki, Kunio Miyawaki, and Kazuyuki Sunayama. "Heavy material handling by cooperative robot control." Advanced Robotics 15, no. 3 (January 2001): 317–21. http://dx.doi.org/10.1163/156855301300235841.

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Roy, Ranjeet, and G. S. Dangayach. "Measuring productivity and material handling cost reduction." International Journal of Business and Systems Research 9, no. 3 (2015): 214. http://dx.doi.org/10.1504/ijbsr.2015.071820.

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Cavalieri, J., S. Grasso, R. C. Redfern, T. R. Schiller, and J. H. Sillman. "Material Handling Issues for the 21st Century." Naval Engineers Journal 112, no. 3 (May 2000): 83–96. http://dx.doi.org/10.1111/j.1559-3584.2000.tb03307.x.

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Walke, G. A., S. N. Rivankar, and S. P. Verlekar. "Development of Self-Propelled Material Handling System." IOP Conference Series: Materials Science and Engineering 624 (October 7, 2019): 012002. http://dx.doi.org/10.1088/1757-899x/624/1/012002.

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