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Journal articles on the topic 'Material handling equipment'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 May 2022

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1

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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2

Kritikos, Manolis N., and George Ioannou. "Sequencing material handling equipment in production facilities." International Transactions in Operational Research 14, no. 4 (July 2007): 291–307. http://dx.doi.org/10.1111/j.1475-3995.2007.00588.x.

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3

Pura, I. Gede Wisuda, Rino Andias Anugraha, and Yusuf Nugroho Doyo Yekti. "PENGUJIAN DAN PERBAIKAN DESAIN MATERIAL HANDLING EQUIPMENT BUNCIS DI PT ABOFARM UNTUK MENINGKATKAN EFISIENSI KERJA MENGGUNAKAN METODE PENGEMBANGAN PRODUK ULRICH EPPINGER." Jurnal Rekayasa Sistem & Industri (JRSI) 3, no. 01 (January 19, 2016): 40. http://dx.doi.org/10.25124/jrsi.v3i01.40.

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Perancangan material handling equipment yang ergonomi merupakan salah satu cara untuk mengatasi musculoskeletal disorders (MSDs). Hasil implementasi desain material handling equipment menunjukkan beberapa masalah antara lain tingkat keberasilan operator dalam menggunakan alat 57%, jumlah kesalahan penggunaan alat yang besar, terdapat keluhan operator terkait teknis alat, Hal tersebut menunjukkan perlu perbaikan pada desain produk. Pada penelitian ini perbaikan desain menggunakan metode pengembangan produk Ulrich Eppinger. Selanjutnya dilakukan pengujian hasil perbaikan dengan menggunakan usability testing dan fisiologi kerja, sehingga diperoleh perbandingan antara prototype material handling equipement improvement 1 dan prototype material handling equipment improvement 2 berdasarkan aspek usability produk dan ergonomi fisiologi kerja. Hasil penelitian ini adalah prototype material handling equipment yang mudah digunakan, efektif, efisien dan memuaskan pengguna. Berdasarkan analisis usability testing dan fisiologi kerja diperoleh hasil prototype material handling equipment improvement 2 memiliki waktu kerja, tingkat keberhasilan penggunaan alat, jumlah kesalahan penggunaan alat, keluhan pengguna terkait teknis alat yang lebih sedikit dibandingkan prototype material handling equipment improvement 1. Dari hasil usability questionare diperoleh rata-rata tanggapan penguna terhadap aspek learability 4.19, aspek efficiency 4.84, aspek memorability 4.61, aspek error 4.6, aspek satisfaction 5,03 dari skala likert 1-5. Selain itu berdasarkan analisis pengaruh alat terhadap fisiologi kerja operator terdapat penurunan persentase cardiovascular load kondisi exsisting 32% menjadi 20% pada kondisi menggunakan prototype material handling equipment improvement 2. Hal tersebut menunjukkan pototype material handling equipment improvement 2 dapat meningkatkan efektivitas dan efisiensi kerja operator.

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Chede, Dr Bharat. "Design Consideration of Material Handling Equipment for Ganga Iron and Steel Limited, Nagpur." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 15, 2021): 1221–25. http://dx.doi.org/10.22214/ijraset.2021.36291.

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In the last several years’ material handling has become a new, complex, and rapidly evolving science. Material handling system (MHS) design has a direct influence on the logistics cost. This work is to locates and identifies the wasteful activities regarding the material handling, and to streamline the activities to reach a minimum of material handling. Most of industries are using EOT cranes for handling of material. In today’s modern era, crane is very important material handling equipment in industry because of safety reliability, fast speed, economy etc. In this paper, discussed about design Consideration of material handling equipment for ganga iron and steel limited Nagpur. In the current material handling equipment, the life of the overhead crane as well as the cost of the material handling equipment is too important to stay in the competitive market of the industries. The cost of the material handling equipment is depending on the weight of the material. The performance of the material handling equipment will be done by the working on the optimization of the overhead crane used in the industries. Crane is a reliable component for lifting load in industries. Crane fails due to high friction in between wire rope and pulley. It leads to failure in gear box or it may increase power requirement of crane to lift loads. It is necessary for the crane to lift the load with minimum effort and minimum friction between the mating surfaces Based on the design calculations and analysis, a prototype crane was simulation, ncs, analysis.

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5

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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6

Karande, Prasad, and Shankar Chakraborty. "Material Handling Equipment Selection Using Weighted Utility Additive Theory." Journal of Industrial Engineering 2013 (December 30, 2013): 1–9. http://dx.doi.org/10.1155/2013/268708.

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Better utilization of manpower, providing product flexibility, increasing productivity, decreasing lead time, reduction in handling cost, increased efficiency of material flow, and enhancement of production process are some of the most important issues influencing material handling (MH) equipment selection decision. As a wide variety of MH equipment is available today, selection of the proper equipment for a designed manufacturing system is a complicated task. Selection of suitable MH equipment for a typical handling environment is found to be a multicriteria decision-making (MCDM) problem. As the selection process is found to be unstructured, characterized by domain dependent knowledge, there is a need to apply an efficient MCDM tool to select the most suitable MH equipment for the given application. This paper applies weighted utility additive (WUTA) method to solve an MH equipment selection problem. The ranking obtained using the WUTA method is compared with that derived by the past researchers which proves its potentiality, applicability, and accuracy to solve complex decision-making problems.

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7

CHU, H. K., P. J. EGBELU, and CHUNG-TE WU. "ADVISOR: A computer-aided material handling equipment selection system." International Journal of Production Research 33, no. 12 (December 1995): 3311–29. http://dx.doi.org/10.1080/00207549508904876.

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8

KAWADA, Yukio. "Development of Material Handling Equipment : Tracks in Remarkable Development." Journal of the Society of Mechanical Engineers 90, no. 818 (1987): 69–71. http://dx.doi.org/10.1299/jsmemag.90.818_69.

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9

Fisher, Edward L., Jeremy B. Farber, and Michael G. Kay. "Mathes: An expert system for material handling equipment selection." Engineering Costs and Production Economics 14, no. 4 (December 1988): 297–310. http://dx.doi.org/10.1016/0167-188x(88)90034-1.

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10

Zhang, Yan Qiong, Kai Huang, and Wei Feng Zhu. "Model of the Equipment Selection of Material Handling System for Large Ship." Applied Mechanics and Materials 347-350 (August 2013): 2865–68. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2865.

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The handling equipment optimization problem of material handling system for large ships is discussed in this paper. The optimization models for two supply ways which includesshore-to-ship and vessel-to-vesselare proposed respectively, which are converted to linear programming problems in order to analyze large ship material supply handling system of equipment optimization.

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11

Dza, Mawuko, and Evans Kyeremeh. "Warehousing and Material Handling Practices in Ghana: A Tale of Tradition and Modernity." Public Administration Research 7, no. 2 (September 19, 2018): 1. http://dx.doi.org/10.5539/par.v7n2p1.

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The paper investigates warehousing and material handling practices in the civil service of Ghana. The purpose is to ascertain the level of transition from fully manual operations to the integration of technology in warehousing and material handling operations in selected Metropolitan, Municipal and District Assemblies (MMDAs). Data were collected from 40 MMDAs cross the current 10 regions of Ghana. The study noted among others that, most warehouses lacked basic mechanical equipment for effective and efficient operations. Warehouse automation was completely non-existent in all selected Assemblies. In the case of material handling, the research discovered that very little effort has been made to equip employees with the requisite handling equipment for the execution of tasks. The study further revealed that there was virtually no in-service training on effective material handling practices in the civil service of Ghana. Indeed, practitioners most often use their bare hands and feet in handling all forms of materials including hazardous chemicals. The study also indicated that, on few instances where some handling and protective equipment were made available, most employees refused to use them citing reasons that bother on culture and tradition. The study concludes that it is imperative for authorities to put in place policies to protect practitioners in the execution of tasks. Thus, there should be an efficient change management system to ensure a gradual paradigm shift from obsolete warehousing and material handling practices to a much-integrated system where aspects of manual, mechanical and automated systems are combined.

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12

Kalim, Nur, and Lukmandono. "Minimizing Material Handling Costs with the SLP Method and Material Transport Equipment in Steel Pipe Companies." PROZIMA (Productivity, Optimization and Manufacturing System Engineering) 4, no. 2 (March 10, 2021): 10–16. http://dx.doi.org/10.21070/prozima.v4i2.1310.

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Factors that influence the amount of material handling costs are the distance of material movement, methods, and tools (equipment) used. The distance of material movement is strongly influenced by the layout of the production facility. The new layout design using the SLP method is expected to reduce the distance of material or product movement in PT. A B C. From the analysis results obtained the total distance of material transfer at the initial layout of the production process at PT. ABC of 1761 meters / month with material handling costs of Rp. 315,390,000.00 / month. Then an analysis of the use of material transport equipment results in the replacement of a crane with a sloping plane to connect the production machine. So the cost of material handling using the inclined plane becomes Rp. 0. The use of sloping fields can only be used on certain production machines. By using the Systematic Layout Planning (SLP) method, there are 3 alternative layouts produced. The most optimal alternative layout is alternative layout 3 with monthly material handling cost savings of Rp. 68,100,000.00 or 21% of the initial material handling layout cost.

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13

Aigboje, Eddy, Paul A. Ugboya, and Martins Odiamenhi. "Quality Maintenance of Production Equipment: A Case Study of Bendel Feeds and Mills, Ewu, Edo State." Journal of Advances in Science and Engineering 2, no. 2 (August 30, 2019): 1–7. http://dx.doi.org/10.37121/jase.v2i2.54.

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This paper analyses the quality maintenance in Bendel Feeds and Mills, Ewu, Edo State, with a view of designing a robust maintenance process and schedule to enhance production equipment in the company. The specific objectives were to determine the failure rate in the company production equipment, establish the appropriate maintenance process needed to reduce failure rate, investigate whether the current material handling methods and practices permit high maintenance turnover and to proffer useful suggestions and ideas on how to effectively maintain production equipment in the company. Data obtained were used to analyse the materials handling equipment failure rate, MTTR, MTBF, availability, failure mode and work station. The results showed that the failure rate is more in bucket elevator equipment than other materials handling equipment. It was observed that the plant organisational structure is area controlled instead of centre controlled organisation, which is one of the problems of the plant maintenance policy adopted by the company. Maintenance of materials handling equipment of the plant can be better achieved through modified planned preventive maintenance, condition base maintenance (predictive) and equipment inspection. This analysis will be of tremendous help to practicing maintenance engineering.

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14

Yu, Seungnam, Jaehoon Lim, Hunsuk Im, and Hyojik Lee. "Equipment Layout Improvement for Large-Scale Hot Cell Facility Logistics." Science and Technology of Nuclear Installations 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/4585120.

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This study presents approaches to equipment layout improvement for a large-scale hot cell facility. First, the original facility layout and target process are introduced, including the basic information and specifications. Second, the flow of process materials is analyzed and the relationships are evaluated in detail using a “from-to chart” and a “relationship chart” for the original layout, and the logistics are simulated using the selected discrete event simulator to calculate the traveling distances of process materials handled by teleoperated material handling systems. Third, the original layout is modified using the total closeness rating (TCR), and the efficiency and usage of the material handling system are calculated and compared with the original case to evaluate the efficiency improvement of the modified layout. This modification process, which included load reduction, enabled those aspects of the material handling system that would need to be changed to be identified; these changes were suggested by a quantitative analysis of the logistics between each pair of stations and intuitive rearrangement based on charts and figures. These approaches could be an initial step in the large-scale hot cell design process, with future work to follow.

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15

Noble, J. S., C. M. Klein, and A. Midha. "An Integrated Model of the Material Handling System and Unit Load Design Problem." Journal of Manufacturing Science and Engineering 120, no. 4 (November 1, 1998): 802–6. http://dx.doi.org/10.1115/1.2830223.

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Material flow system design problems (i.e. facility layout, material handling equipment selection and specification, flow path design, unit load sizing, cell design, warehousing, routing, etc.) have been predominately modelled independently in the past. Independent consideration of each design problem has reduced the solution complexity, but in the process has caused a loss in problem reality. This paper reviews recent developments in integrated approaches to material flow design and presents a model which integrates material handling equipment selection and specification (including material handling interface equipment) and path/load dependent unit load size. The formulation is solved using the meta-heuristic procedure of tabu search to find good solutions to the more realistic (and more complex) model formulation.

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16

Baker, G. E. "New opportunities in materials handling." BSAP Occasional Publication 11 (January 1987): 63–66. http://dx.doi.org/10.1017/s0263967x00001774.

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AbstractMaterial inputs into pig production systems are considered as animals, food, water and bedding material. Consequential outputs are considered as animals and manure. The influence on these inputs and outputs of building design, of the design of equipment for handling, transporting and feeding animals and for the disposal of manure is discussed.

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17

Khandekar, Anant V., and Shankar Chakraborty. "Selection of Material Handling Equipment Using Fuzzy Axiomatic Design Principles." Informatica 26, no. 2 (January 1, 2015): 259–82. http://dx.doi.org/10.15388/informatica.2015.48.

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18

Raman, Dhamodharan, Sev V. Nagalingam, Bruce W. Gurd, and Grier C. I. Lin. "Quantity of material handling equipment—A queuing theory based approach." Robotics and Computer-Integrated Manufacturing 25, no. 2 (April 2009): 348–57. http://dx.doi.org/10.1016/j.rcim.2008.01.004.

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19

Jayakrishnan, N., N. Juhin Pradeep, V. A. Athul, U. Amith Raj, M. Nithin, and G. Harikrishnan. "Design and manufacturing of a portable pneumatic material handling equipment." IOP Conference Series: Materials Science and Engineering 377 (June 2018): 012044. http://dx.doi.org/10.1088/1757-899x/377/1/012044.

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20

Muthukumar, K., T. Jishin Jayan, and C. Sridhar. "Discomfort in movable material handling equipment operation and its impact." Materials Today: Proceedings 45 (2021): 2642–48. http://dx.doi.org/10.1016/j.matpr.2020.11.513.

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21

Satoglu, Sule I., and İbrahim Türkekul. "Selection of Material Handling Equipment using the AHP and MOORA." Jurnal Teknik Industri 22, no. 1 (February 28, 2021): 113–24. http://dx.doi.org/10.22219/jtiumm.vol22.no1.113-124.

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Choosing the best Material Handling Equipment (MHE) is an aspect that needs to be considered in the industrial sector because the amount of capital involved in the procurement process is very large. Many substantial factors influence the MHE selection process. One popular approach was chosen to resolve the MHE selection issue. The concept of Multi-Criteria Decision Making (MCDM) is popularly used because it can solve and handle conflicting components in the MHE selection process. This study proposes the Analytical Hierarchy Process (AHP) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) procedures in MHE selection. AHP is proposed to weigh the MHE selection criteria. MOORA is proposed to compute the rankings of the MHE alternatives. Case studies are applied to this problem. The results show that the cost criterion gives the greatest weight in selecting MHE. Other than that, Of the five selected MHE alternatives, Hand Pallet Truck is the MHE that has the best rating.

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22

Escobar Velásquez, John, Rafael Guillermo García Cáceres, and German Guillermo Torres Hernández. "Reference Framework for Material Handling Equipment Selection in Distribution Centers." International Journal of Logistics Systems and Management 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijlsm.2021.10041006.

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23

Senthil Gavaskar, S., P. K. Devan, Chidambaranathan Bibin, Kovuru Ashok, M. Mariselvan, A. Mohamed Akram, and P. Panneerselvam. "Design and development of material handling equipment for cordierite slab." Materials Today: Proceedings 45 (2021): 7010–15. http://dx.doi.org/10.1016/j.matpr.2021.01.534.

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24

Anil Kumar, C. N., M. Sakthivel, R. K. Elangovan, and M. Arularasu. "Analysis of Material Handling Safety in Construction Sites and Countermeasures for Effective Enhancement." Scientific World Journal 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/742084.

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One of many hazardous workplaces includes the construction sites as they involve several dangerous tasks. Many studies have revealed that material handling equipment is a major cause of accidents at these sites. Though safety measures are being followed and monitored continuously, accident rates are still high as either workers are unaware of hazards or the safety regulations are not being strictly followed. This paper analyses the safety management systems at construction sites through means of questionnaire surveys with employees, specifically referring to safety of material handling equipment. Based on results of the questionnaire surveys, two construction sites were selected for a safety education program targeting worker safety related to material handling equipment. Knowledge levels of the workers were gathered before and after the program and results obtained were subjected to at-test analysis to mark significance level of the conducted safety education program.

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25

Dixit, Sandhya, and Tilak Raj. "A Hybrid MADM Approach for the Evaluation of Different Material Handling Issues in Flexible Manufacturing Systems." Administrative Sciences 8, no. 4 (November 14, 2018): 69. http://dx.doi.org/10.3390/admsci8040069.

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In today’s versatile and dynamic industrial scenario more and more industries are adopting advanced manufacturing technologies and systems like flexible manufacturing system (FMS) which combines the efficiency of a mass production line and the flexibility of a job shop. Material handling equipment form an important component of FMS and using proper material handling equipment can enhance the production process, provide effective utilization of manpower, increase production and improve system flexibility. In this research the main material handling issues in a FMS are identified and further evaluated using ISM and TOPSIS approaches. The purpose of identification of these issues and their analysis is to allow researchers and practicing managers to pay proper attention to these issues which may help them in designing the material handling systems in their organisations in a better way.

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Prasad, Kanika, Edmundas Kazimieras Zavadskas, and Shankar Chakraborty. "A software prototype for material handling equipment selection for construction sites." Automation in Construction 57 (September 2015): 120–31. http://dx.doi.org/10.1016/j.autcon.2015.06.001.

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Eko Saputro, Thomy, and Babak Daneshvar Rouyendegh (Babek Erdebil. "A hybrid approach for selecting material handling equipment in a warehouse." International Journal of Management Science and Engineering Management 11, no. 1 (June 30, 2015): 34–48. http://dx.doi.org/10.1080/17509653.2015.1042535.

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Onut, Semih, Selin Soner Kara, and Sinan Mert. "Selecting the suitable material handling equipment in the presence of vagueness." International Journal of Advanced Manufacturing Technology 44, no. 7-8 (January 10, 2009): 818–28. http://dx.doi.org/10.1007/s00170-008-1897-3.

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29

Sayarshad, Hamid Reza. "Using bees algorithm for material handling equipment planning in manufacturing systems." International Journal of Advanced Manufacturing Technology 48, no. 9-12 (October 29, 2009): 1009–18. http://dx.doi.org/10.1007/s00170-009-2363-6.

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30

Lau, Henry Y. K., and Ying Zhao. "Joint scheduling of material handling equipment in automated air cargo terminals." Computers in Industry 57, no. 5 (June 2006): 398–411. http://dx.doi.org/10.1016/j.compind.2005.11.003.

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31

Velury, Jayadev, and W. J. Kennedy. "A systematic procedure for the selection of bulk material handling equipment." International Journal of Production Economics 27, no. 3 (October 1992): 233–40. http://dx.doi.org/10.1016/0925-5273(92)90097-q.

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32

Park, Yang-Byung. "ICMESE: Intelligent consultant system for material handling equipment selection and evaluation." Journal of Manufacturing Systems 15, no. 5 (January 1996): 325–33. http://dx.doi.org/10.1016/0278-6125(96)84195-1.

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Bhamare, Shubham. "Improving Productivity of Dairy Products by Effective Material Handling and Layout Design." International Journal for Modern Trends in Science and Technology 6, no. 5 (May 2020): 112–16. http://dx.doi.org/10.46501/ijmtst060520.

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To achieve the maximum productivity by optimum utilization of the available resources, effective planning and designing of manufacturing equipment and also manufacturing process is useful. Effective planning tends to minimum wastage of resources and thus helps in increasing productivity. The aim of this research paper is to study the design, plant and its management and implementation of industrial engineering equipment in a milk dairy industry. The study begins with observation of standard operation procedures the existing plant layout, the manufacturing equipment. We work on time study of few processes. We also find out the facts which will be helpful to increase the productivity. Time study, method study, layout study helps to reduce the superfluous movements of the workers.

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Kuswanto, Kuswanto, Juan Junius, and Anita Christine Sembiring. "PERBAIKAN TATA LETAK LANTAI PRODUKSI INDUSTRI MEBEL MENGGUNAKAN METODE GRAFIK DAN ALGORITMA CRAFT." JURNAL REKAYASA SISTEM INDUSTRI 6, no. 1 (November 28, 2020): 1. http://dx.doi.org/10.33884/jrsi.v6i1.1975.

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Facility layout is integrated planning of the flow of a product in an operating system to obtain the most effective and efficient interrelation between workers, materials, machinery, and equipment as well as handling and transferring materials. A company engaged in furniture manufacturing has a problem in its production process, namely, the distance between machines is too far so that it affects the cost of handling materials. Distant workstations are found on profile machines, milling machines, measuring machines, cutting machines. Therefore, improvements must be made to the layout of facilities on the production floor so that facility layout is efficient and material handling costs are reduced. The problem-solving approach used is the Graph Method and CRAFT Algorithm. The results of the research show that material handling costs are reduced by 7.58% or Rp. 17,765 using the CRAFT algorithm.

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Hroncová, Darina, Ingrid Delyová, and Peter Frankovský. "KINEMATICS OF POSITIONING DEVICE FOR MATERIAL HANDLING IN MANUFACTURING." Acta logistica 8, no. 1 (March 31, 2021): 11–18. http://dx.doi.org/10.22306/al.v8i1.194.

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Different types of robots are used in many areas of industry. Industrial manipulators are used to ensure productivity and flexibility in automated production lines. Most of them is used for tasks that automatically repeat the same operation in a familiar environment. The key element in the development and analysis of industrial robots is their kinematic analysis. The article deals with the kinematic analysis of this positioning equipment. Individual relations of kinematic quantities are plotted graphically. Matrix methods were used for the analysis.

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36

M.D. Hassan, Mohsen. "An evaluation of input and output of expert systems for selection of material handling equipment." Journal of Manufacturing Technology Management 25, no. 7 (August 26, 2014): 1049–67. http://dx.doi.org/10.1108/jmtm-08-2012-0077.

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Purpose – The purpose of this paper is to evaluate expert systems (ES) for selection of material handling (MH) equipment on their use of information and generation of equipment, and provide guidelines that can enhance developing them in the future. Design/methodology/approach – Data envelopment analysis (DEA) is used to evaluate efficiency of ES on their use of information and generation of equipment. Characteristics of benchmark ES are identified to serve as guidelines in developing future ES. Findings – Results of DEA indicate that most ES use a large amount of information that does not commensurate with the number and variety of equipment they generate. Research limitations/implications – The ideal MH equipment for a situation is not known whether it is selected by ES or other procedures. Therefore, this study focusses on efficiency of ES in using information to generate MH equipment without regard to whether ES produce the right equipment for a situation or not. Practical implications – Developers of future ES should consider the efficiency of an ES in using information and generation of equipment, in addition to considering its functions and methodologies. They should utilize means similar to those employed by benchmark methodologies and other ones that can be thought of to economize information and generate more number and variety of equipment, and thus render ES more useful to facility designers and manufacturing managers. Originality/value – The paper presents the first evaluation of ES for selection of MH equipment. The evaluation performed should enhance development of future ES in this field, and can be extended to ES in other application domains.

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37

Moczko, Przemysław, Damian Pietrusiak, and Eugeniusz Rusiński. "Material handling and mining equipment: International standards recommendations for design and testing." FME Transaction 46, no. 3 (2018): 291–98. http://dx.doi.org/10.5937/fmet1803291m.

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38

Lommen, Stef, Mohammadjavad Mohajeri, Gabriel Lodewijks, and Dingena Schott. "DEM particle upscaling for large-scale bulk handling equipment and material interaction." Powder Technology 352 (June 2019): 273–82. http://dx.doi.org/10.1016/j.powtec.2019.04.034.

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39

Carli, Raffaele, Salvatore Digiesi, Mariagrazia Dotoli, and Francesco Facchini. "A Control Strategy for Smart Energy Charging of Warehouse Material Handling Equipment." Procedia Manufacturing 42 (2020): 503–10. http://dx.doi.org/10.1016/j.promfg.2020.02.041.

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40

Moczko, Przemyslaw, Damian Pietrusiak, and Eugeniusz Rusinski. "Design and approval third party audit of material handling and mining equipment." International Journal of Mining and Mineral Engineering 10, no. 2/3/4 (2019): 205. http://dx.doi.org/10.1504/ijmme.2019.10026195.

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Moczko, Przemyslaw, Damian Pietrusiak, and Eugeniusz Rusinski. "Design and approval third party audit of material handling and mining equipment." International Journal of Mining and Mineral Engineering 10, no. 2/3/4 (2019): 205. http://dx.doi.org/10.1504/ijmme.2019.104452.

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Chakraborty, Shankar, and Debabrata Banik. "Design of a material handling equipment selection model using analytic hierarchy process." International Journal of Advanced Manufacturing Technology 28, no. 11-12 (June 29, 2005): 1237–45. http://dx.doi.org/10.1007/s00170-004-2467-y.

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Soufi, Zakarya, Pierre David, and Zakaria Yahouni. "A methodology for the selection of Material Handling Equipment in manufacturing systems." IFAC-PapersOnLine 54, no. 1 (2021): 122–27. http://dx.doi.org/10.1016/j.ifacol.2021.08.193.

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Sáez Más, Aída, and José P. García-Sabater. "Protocol: Material flow risk evaluation for layout design." WPOM-Working Papers on Operations Management 7, no. 2 (December 21, 2016): 43. http://dx.doi.org/10.4995/wpom.v7i2.5710.

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<p><em>The need of design new layouts or redesign current situation to manufacture new products has increased principally due to changes in customer demand, on both variety aspects and quantity (Lu, Shpitalni, and Gadh, 1999). The complexity increase is also associated with the traffic generated by material handling equipment. This situation can be described as unsafe for workers. Many authors defend that during layout design/redesign a risk analysis is necessary. In contrast others believe that material flow analysis should be a mainly task during this step. Therefore, in this research both considerations have been integrated. So that it is proposed a protocol to evaluate the risk generated by material flow with handling equipment in manufacturing plants. This methodology identify the process steps and propose dimensions, measurables, tools and suggestions in order to analyse and reduce risk correctly. All the above aspects are validated in a case study of a complex assembly plant in the automotive sector.</em></p>

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Pang, Kaili, Xiangrui Meng, Shuai Ma, and Ziyuan Yin. "Characterization of Pollutant Emissions from Typical Material Handling Equipment Using a Portable Emission Measurement System." Atmosphere 12, no. 5 (May 5, 2021): 598. http://dx.doi.org/10.3390/atmos12050598.

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Non-road equipment has been an important source of pollutants that negatively affect air quality in China. An accurate emission inventory for non-road equipment is therefore required to improve air quality. The objective of this paper was to characterize emissions from typical diesel-fueled material handling equipment (loaders and cranes) using a portable emission measurement system. Instantaneous, modal, and composite emissions were quantified in this study. Three duty modes (idling, moving, and working) were used. Composite emission factors were estimated using modal emissions and time-fractions for typical duty cycles. Results showed that emissions from loaders and cranes were higher and more variable for the moving and working modes than the idling mode. The estimated fuel-based CO, HC, NO, and PM2.5 composite emission factors were 21.7, 2.7, 38.2, and 3.6 g/(kg-fuel), respectively, for loaders, and 8.7, 2.4, 28.3, and 0.3 g/(kg-fuel), respectively, for cranes. NO emissions were highest and should be the main focus for emission controls. CO, HC, NO, and PM2.5 emissions measured were different from emission factors in the US Environmental Protection Agency NONROAD model and the Chinese National Guideline for Emission Inventory Development for Non-Road Equipment. This indicates that improving emission inventory accuracy for non-road equipment requires more real-world emission measurements.

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Mohsen. "A framework for selection of material handling equipment in manufacturing and logistics facilities." Journal of Manufacturing Technology Management 21, no. 2 (February 9, 2010): 246–68. http://dx.doi.org/10.1108/17410381011014396.

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Bairagi, Bipradas, Balaram Dey, and Bijan Sarkar. "Incremental analysis for the performance evaluation of material handling equipment: A holistic approach." Uncertain Supply Chain Management 1, no. 2 (July 1, 2013): 77–86. http://dx.doi.org/10.5267/j.uscm.2013.06.003.

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Marasova, Daniela, Janka Saderova, and Lubomir Ambrisko. "Simulation of the Use of the Material Handling Equipment in the Operation Process." Open Engineering 10, no. 1 (March 10, 2020): 216–23. http://dx.doi.org/10.1515/eng-2020-0015.

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AbstractThe article presents the simulation model and simulation experiments aimed at the rationalisation of bottle necks in operations in terms of the capacity utilisation of the material handling equipment, in particular, six conveyance lines. The models and experiments were designed in the Tecnomatix simulation environment which facilitates the modelling of even more complex systems. The simulation model visualises the material flow within the production process comprising individual technological operations and workplaces. The model was used to perform simulation experiments with adjusted production times and added or removed workplaces. The presented article also contains the graphs of the utilised capacity of the machinery and operators. The obtained experimental results suggesting the partial or complete elimination of the accumulation of unfinished products.

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Sen, Kingshuk, Surojit Ghosh, and Bijan Sarkar. "Comparison of Customer Preference for Bulk Material Handling Equipment through Fuzzy-AHP Approach." Journal of The Institution of Engineers (India): Series C 98, no. 3 (June 14, 2016): 367–77. http://dx.doi.org/10.1007/s40032-016-0313-2.

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Poon, T. C., K. L. Choy, C. K. Cheng, S. I. Lao, and H. Y. Lam. "Effective selection and allocation of material handling equipment for stochastic production material demand problems using genetic algorithm." Expert Systems with Applications 38, no. 10 (September 2011): 12497–505. http://dx.doi.org/10.1016/j.eswa.2011.04.033.

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