Robotics in Manufacturing in Supply Chain Analytics
Verified
Added on 2023/01/20
|13
|3627
|24
AI Summary
This document explores the concepts and theories of robotics in manufacturing and its applications in supply chain analytics. It discusses the latest research findings, challenges, and benefits of implementing robotics in manufacturing processes. It also categorizes the models and techniques used in different fields.
Contribute Materials
Your contribution can guide someone’s learning journey. Share your
documents today.
Running Head:ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS1 Robotics in Manufacturing in Supply Chain Analytics Name: Institution Affiliation:
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS2 Introduction (definitions and concepts of robotics in manufacturing) Robotics in various supply chain sectors refers to the interdisciplinary industry of science together with engineering that consists of mechanical production, information, engineering of electronic, computer science, alongsideother engineering approaches. Robotics deals with the process of designing operations, improving operations, and improving the manufacturing process (Leenes & Lucivero, 2015). Besides, robotics in manufacturing comprise of the use of computer schemes for their management, sensory reaction, along with the dispensation of data about manufacturing operations of an organization. However, robots refer to the automated and programmable designed to perform different duties when controlled by computer applications. Additionally, industrial robot is the system of the robot that is used for operations that deals with the manufacturing of different goods within an organization. There are various applications of robots in the supply chain management of an organization (Hu, 2016). Some of the application consists of painting, welding, assembly, pick together with a place for printed circuit boards, operations of labeling and packing, and palletizing. Other applications of robotics in manufacturing comprise of inspection of the product along with testing of products. The use of robots ensures that every operation of production is accomplished with high endurance, speed, alongside precision. Robots can assist in the process of handling materials that are either delicate or toxic (Dian & Colic, 2016). Therefore, the primary target of this research paperwork is to examine the robotics in manufacturing in line with supply chain analytics. This study also focuses on illustrating significant concepts and theories of robotics in manufacturing, the latest survey on robotics in manufacturing, and categorizing the models or techniques used for the robotics in the manufacturing sector.
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS3 It is apparent that robots that are used in manufacturing help in shaping the operations and face of manufacturing organizations. Robotics is designed in a manner that they can move materials and perform a range of planned activities in manufacturing with little human input through control via remotes (Bai, Song, Xiao, Ngo, & Ou, 2015). Industrial robots can significantly enhance the quality of products. The applications of robotics in manufacturing are achieved with precision and superior repeatability on each employment opportunity. There are various reasons why there is a need for business operators to continue with the use of robotics in manufacturing processes. One of the rights is that robots used in operations that deal with manufacturing create efficiencies from the process of handling raw material to finished packing of products. Robots can also be programmed to operate within twenty-four hours a day in every week in lights-out situations for continuous production in manufacturing (Robotics Editorial Office, 2015). Besides, equipment of robotic is highly flexible and can be customized to operate even more complex duties. Therefore, robotics makes manufacturers of different organizations to embrace the process of automation to stay competitive. The use of robotics can help in improving operations of the company to be highly cost-effective while reducing that amount of time spends in reducing specific tasks. Concepts of robotics in manufacturing Technologies of robotics are utilized in the supply chain to develop different tools. Such tools are used as the substitute for human together with replicate actions of a human. Besides, robots in the manufacturing process of different organizations can be used in various situations and for a range of purposes (Zheng, 2017). However, in the present manufacturing sector, many robotics are used in dangerous business settings or where the human cannot survive such as in
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS4 space. Robots in the supply chain can employany form, although othersare developed tolook likehuman in emergence. The creation of robots to resemble human is said to aid in the process of acceptance of the robot in particular explicative acts that are usually done by individuals. Most robots in supply chain try to repeat individual styles of walking, speaking, and cognition, and fundamentally something that a man can perform in manufacturing operations (Oh, & Jeong, 2019). Additionally, the most commonly utilized robot configurations for manufacturing and industrial automation comprise of articulated robots, gantry robots, as well as SCARA robots. Due to the shift in the paradigm of manufacturing from mass production towards mass customization, processes that deal with reconfigurable automation technologies that include robots are needed in operations by various organizations. However, existing industrial robot solutions are notoriously tough to program (Wang, 2018). The difficulties lead to high changeover durations when different manufacturers introduce advance products. Many robots are created to perform various works that are risky to individuals some of the risky works that they perform include detonating bombs in operations and investigating underground mines to get raw materials for manufacturing. Presently, some robots have been programmed to faithfully and diligently conduct particular actions constantlywithout disparity along with theloftydegree of precision (Rainsberger, 2018). Such events are decided by the routine of programming that specifies the acceleration, direction, and gap of the series of harmonized motions. 2. Major concepts and theories of robotics in manufacturing The ideas of developing equipment that can function separatelydate back to standard eras within the supply chain analysis. However, survey into the operations as well as prospect applications of robots did not progress considerablyuntil the late twentieth century. All through
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS5 ancient times, it has been often implicitby different manufacturers that robots will at one moment be capable of mimicking man traits alongsidemanaging errands in the fashion that is like humanity itself (Byner, Matthias, & Ding, 2019).Presently, robotics remains to be the rapidly growing field as advancement in technological usage is progressing. Other elements that make the use of robotics to be continually used in manufacturing is because of the increased cases of research, designing, and creating advanced robots that serve several practical purposes. Furthermore, since ancient periods man has imagined automated mechanisms or intelligent tools to take over several operations or sections of their duties in manufacturing sectors. The imagination had been for the establishment of machines to help in making the timeless quest to make life simple, more comfortable, and attain great manufacturing goals possible (Bhavana, 2017). The principles of cybernetics were formulated to form the basis of practical robotics. In supply chain in the current society, robotics for manufacturing is widespread to be used in performing operations more cheaply, more accurate, and more reliable than humans. Besides, robotics in manufacturing is currently employed in activities to improve the process of packing and assembling of materials used in operations. Robotic theory in manufacturing is all about the manner a manager of an organization design the robot. It is also about the way management can control the robot and how the robot is capable of performing the duties assigned to it by the company. There are several types or robotics in manufacturing processes of different organizations (Fang, 2016). Various robots are utilizedin diverse settings and for various applications, even though being very different in purpose and structure they all communicate basic comparisons when it get to their establishments. One of the similarities in robotics being used in various manufacturing processes is that they have some mechanic structure, the form, frame, or designed shape to attain the
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS6 specific function (Brethé, 2017). The motorized feature of robots is typicallythe developer of the answer to implementingthe allocated duty as well as dealing with the physics of the business setting around it within an organization. 3. Latest research findings related to robotics in manufacturing The current robotics that is used in manufacturing processes has undergone advancements in their developments. For instance, robots have electric components that power as well as manage the machinery (Gao, Tatematsu, Ohya, & Wang, 2015). The abilityto be used appears in the type of electricity that has to move within the wire as it originates from the battery which is primary circuit of electrical. Currently, electrical aspects of robots have been stated to be used to measure different factors that can affect manufacturing processes such as heat, energy status, and sound. Moreover, all robots are currently reported to contain some level of computer programming code (Bogue, 2016). The code remains to be the programs that show how a robot decides when or how to perform different operations. Therefore, in present society, robotics in supply chain management is often viewed from three perspectives that comprise of perception, manipulation, and cognition in activities. The current findings have reported that there are several challenges that robotics in manufacturing face. Some of these challenges comprise of power and energy, new materials and fabrication schemes, robot swarms, and navigation and exploration (Hu, 2016). Other challenges faced by the use of robots in manufacturing process consist of social interaction, medical robotics, brain-computer interfaces, robot ethics and security, and Artificial Integration that can reason. Most of the challenges that surround technologies like artificial intelligence, power sources, and perception can reduce or increase input of robotics in manufacturing process within
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS7 an organization. Presently, it has been reported that collaborative robots also referred to as cobots re-sweeping across the manufacturing sectors. Instead of cobots taking over laborers completely, they work along with human to improve efficiency as well as decrease risks in manufacturing industries (Dian & Colic, 2018). Therefore, Automation Corporation is booming, and robotics manufacturers are focusing on pushing forward with pioneering advancements. Through the use of robotics in operations, it is clear that manufacturers that adopt the techniques of robots have a tremendous opportunity to advance their manufacturing activities. However, the primary barrier to implementation is often the lack of understanding around how to effectively introduce technologies into the manufacturing operations (Gültekin & Üstün, 2019). Arguably, the manufacturing landscape in most organizations is created upon traditional organizations that adopt conservative techniques to manufacturing processes as opposed to modernization. However, it has recently been established that there is still resistance from manufacturers in other places such as the UK when it comes to the idea of adopting latest together with the most significant innovations in the use of robotics (Bogue, 2016). Such organizations that oppose the use of advancement in the use of robotics in present societies tend to have a decline in their operations. They also fall behind other countries when it comes to ideas of adopting fourth technologies that deal with industrial revolutions such as the use of robotics in manufacturing activities. 4. Categorize the models or techniques used for the robotics in manufacturing in different fields In general, operations, when individuals hear the phrase “robot”, they immediately think of a piece of machinery that appears and act like a man. In the society of plant activities, robots
Secure Best Marks with AI Grader
Need help grading? Try our AI Grader for instant feedback on your assignments.
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS8 bring productivity as well as an assembly to the minds of operators (Alimisis & Zoulias, 2015). However, even in the specific definition of machinery, operators often refer to the kinds of robots about their uses such as handling robots, palletizing roots and packaging robots among other aspects. The models of robots used in manufacturing can be narrowed down to different types. These models comprise of Cartesian, SCARA, Cylindrical, 6-Axis, together with Delta. Every industrial robot type in manufacturing has particular elements that make them appropriately suited for diverse applications in the manufacturing process of different organizations. The main differentiators of the models used in robotics in manufacturing are their size, speed, together with the workspace (Gaddy, 2018). However, understanding of every operating aspect of the all five types of models of robots in manufacturing in different fields can aid designers of various machines to serve the appropriate robot for their process. Cartesian model of the robot It is the most commonly used model of the robot for the majority of industrial applications. Different plant operators in various organizations often default to this type of technique because they are simple to apply and program. The linear movement of elements of the Cartesian model offers robot with the cube-shaped workspace that fits appropriate with pick alongside place applications (Wang, Wang, C& Tomizuka, 2015). These models of robots are also a popular choice because they are highly customized in manufacturing activities. However, the model allows customers to determine the stroke lengths, precision, and speed of the robots because most of the parts arrive separately and are later assembled by the builders of machines. The model is used in different fields by allowing different operators to choose the design that is
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS9 flexible in their configuration that enables operators to attain particular application wants of organizations. Cylindrical model of robotics It is the simplest model and similar to Cartesian in their axis of motion. Most Cylindrical models of robots are made of two different elements that are moving. These elements consist of rotary along with linear actuators. Since this technique of robot have the cylindrical work envelop, designers of machines might choose them for their economy of space (Bai, Song, Xiao, Ngo, & Ou, 2015). The robot can be placed in the center of place of work, and because of its rotating aspect, it can operate anywhere around it. Simple use of this model in other fields is vital where there is a need to pick up material before rotating them in an orderly manner. These models are easy and straightforward to install making other fields that use them to attain effective solutions within the minimal assembly. SCARA model of robotics in manufacturing The model of SCARA robots provides a more complete solution than the other two models such as Cartesian or Cylindrical. They are all contained in a single robot SCARA model of robots prepared with x, y, z alongside rotating movement in a single parcelthat appears ready- to-go distant from the tip of tooling of arm (Fang, 2016). The work envelope is the same as the cylindrical model of robotics, but it has more degreed of motions in the radius or arch-shaped space. Besides, applications are similar to different fields that use Cylindrical together with the model of Cartesian, although SCARA robots in manufacturing can move quicker than the other two. The process comprises of setting up or programming of motion together with sequences for
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS10 the industrial robots (Brethé, 2017). The process is classicallytrained by connecting the controller of robot to the desktops or network. 6-Axis It is one of the models of robotics in manufacturing operations that boost operations. Though it can occasionally be almost the size of the toy, they can be typically enormous and used for substantial assembly of duties that include putting seats into the car on the assembly line. These robots operate just like a human arm, and they are above to pick up different materials and move them from one plane o the next (Wang, 2018). The example of operation of this model is the idea of pick an item from the top of the table and placing it in a different place such as a cupboard. Such operations of 6-Axis are unique as such operations cannot be simple. Besides, this model can move quickly and come in complete solutions in manufacturing activities like SCARAs even though process involved in their programming is complicated.
Paraphrase This Document
Need a fresh take? Get an instant paraphrase of this document with our AI Paraphraser
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS11 References Alimisis, D., & Zoulias, E. (2015). Aligning technology with learning theories.Interactive Technology And Smart Education,10(3), 211-229. doi: 10.1108/itse-05-2013-0041 Bai, S., Song, D., Xiao, J., Ngo, T., & Ou, Y. (2015). Fundamental Theories and Practice in Service Robotics.Mathematical Problems In Engineering,2015, 1-2. doi: 10.1155/2015/583286 Bhavana Y, P. (2017). A Venture to the Latest Robotic Technological Research: A Review. Advances In Robotics & Automation,02(01). doi: 10.4172/2168-9695.1000113 Bogue, R. (2016). Europe continues to lead the way in the collaborative robot business. Industrial Robot: An International Journal,43(1), 6-11. doi: 10.1108/ir-10-2015-0195 Brethé, J. (2017). Optimizing SCARA Design for Higher Repeatability.Journal Of Mechanisms And Robotics,3(2), 021010. doi: 10.1115/1.4003847 Byner, C., Matthias, B., & Ding, H. (2019). Dynamic speed and separation monitoring for collaborative robot applications – Concepts and performance.Robotics And Computer- Integrated Manufacturing,58, 239-252. doi: 10.1016/j.rcim.2018.11.002 Dian, J., & Colic, S. (2015). A flexible robotics themed system for teaching basic engineering concepts and skills.Proceedings Of The Canadian Engineering Education Association. doi: 10.24908/pceea.v0i0.4490
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS12 Dian, J., & Colic, S. (2018). A flexible robotics themed system for teaching basic engineering concepts and skills.Proceedings Of The Canadian Engineering Education Association. doi: 10.24908/pceea.v0i0.47910 Fang, J. (2016). Dynamic Model of SCARA Robot.Applied Mechanics And Materials,442, 476- 479. doi: 10.4028/www.scientific.net/amm.442.476 Gaddy, S. (2018). Help faculty members to accurately define access.Disability Compliance For Higher Education,23(11), 1-4. doi: 10.1002/dhe.30449 Gao, S., Tatematsu, N., Ohya, J., & Wang, Z. (2015). Estimating Clean-up Robots' Mechanical Operations of Objects Using a SLAM Based Method.The Abstracts Of The International Conference On Advanced Mechatronics : Toward Evolutionary Fusion Of IT And Mechatronics : ICAM,2015.6(0), 249-250. doi: 10.1299/jsmeicam.2015.6.249 Gültekin, A., & Üstün, F. (2019). Infection Models and Imaging Techniques Used in Preclinical Studies.Nuclear Medicine Seminars,5(1), 59-68. doi: 10.4274/nts.galenos.2019.0008 Hu, H. (2016). Robotics — Inspired from Nature.Robotics,1(1), 1-2. doi: 10.3390/robotics1010002 Leenes, R., & Lucivero, F. (2015). Laws on Robots, Laws by Robots, Laws in Robots: Regulating Robot Behaviour by Design.Law, Innovation And Technology,6(2), 193-220. doi: 10.5235/17579961.6.2.193
ROBOTICS IN MANUFACTURING IN SUPPLY CHAIN ANALYTICS13 Oh, J., & Jeong, B. (2019). Tactical supply planning in smart manufacturing supply chain. Robotics And Computer-Integrated Manufacturing,55, 217-233. doi: 10.1016/j.rcim.2018.04.003 Rainsberger, R. (2018). Understand how FERPA regs define ‘legitimate educational interest’. Campus Legal Advisor,18(10), 1-5. doi: 10.1002/cala.30798 Robotics Editorial Office. (2015). Acknowledgement to Reviewers of Robotics in 2014. Robotics,4(1), 23-24. doi: 10.3390/robotics4010023 Wang, L. (2018). Robotics and Computer-Integrated Manufacturing.Robotics And Computer- Integrated Manufacturing,51, ii. doi: 10.1016/j.rcim.2018.02.001 Wang, Z., Wang, C., & Tomizuka, M. (2015). Vibration cancellation of semiconductor manufacturing robots.Manufacturing Letters,4, 6-9. doi: 10.1016/j.mfglet.2015.01.004 Zheng, W. (2017). Mobile Robot Applications Grounded in Deep Learning Theories: A Review. International Robotics & Automation Journal,3(5). doi: 10.15406/iratj.2017.03.00067