Some items (such as clothes or furniture) can be made by hand or by machine. Which do you prefer - items made by hand or items made by machine? Use reasons and specific examples to explain your choice.
The advent of technology had major impacts on various manufacturing zones. Ever since there has been a competition between hand made or machine made businesses. This essay will explore the merits of machine-made furniture and explain the three benefits of economics, accuracy and being high-tech.
There is a common ground that producing furniture is an industrious and meticulous process in which the manufacturer spends an enormous amount of time. The sum of the amount of time and effort put on the design and fabrication process is tantamount to the cost of the final product. However, the manufacturers in the digital process use machines such as CNC and KUKA which had a major impact on the furniture industry. They work as sufficient as possible and spend less time, as against humans which leads to the less overall cost of the machine-made furniture in contrast to hand made ones. Moreover, fastidiousness and accuracy in the fabrication process leading to a drop in materials which is one of the major merits of technology.
Also, using technology leads to accuracy in every scale of the project. Each piece of furniture has different measures and details. In parallel, computers and robots which have exactness will be one of the great benefits in the manufacturing process. For instance, we had to design and fabricate a lamp for one of our university projects. We had to model the 3D lamp in the computer with exact measures and angles and then use a 3D printer to fabricate it. The conversion between the 3D modeling software and printer was an essential and demanding part of the project that needed a meticulous mind to match perfectly. Therefore, there was no room for any kind of error or mistake and at last the product looked perfect and without any flaws.
Last but not least, high-tech products have various interesting options which are developing every day in the world of technology. For instance, using machine-learning features in the design process make the products advantageous in many ways. As an example, lately some designers in their research project have created a chair based on the physics of the people who sit on it and the form of the product is changing constantly. Consequently, they made a huge step in the world of technology and industrial design. Moreover, high-tech projects need to meet high standards and guidelines which make them even better products.
To sum up, technology has major impacts on the cost, the preciseness and creative use of technology of the product. Therefore, machine-made furniture and product is a suitable option for many people.
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Transition Words or Phrases used:
also, but, consequently, however, if, look, moreover, so, then, therefore, for instance, in contrast, kind of, such as, in contrast to, to sum up
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 12.0 15.1003584229 79% => OK
Auxiliary verbs: 3.0 9.8082437276 31% => OK
Conjunction : 25.0 13.8261648746 181% => OK
Relative clauses : 10.0 11.0286738351 91% => OK
Pronoun: 12.0 43.0788530466 28% => OK
Preposition: 61.0 52.1666666667 117% => OK
Nominalization: 5.0 8.0752688172 62% => OK
Performance on vocabulary words:
No of characters: 2187.0 1977.66487455 111% => OK
No of words: 431.0 407.700716846 106% => OK
Chars per words: 5.07424593968 4.8611393121 104% => OK
Fourth root words length: 4.55637350225 4.48103885553 102% => OK
Word Length SD: 2.92264748382 2.67179642975 109% => OK
Unique words: 214.0 212.727598566 101% => OK
Unique words percentage: 0.496519721578 0.524837075471 95% => More unique words wanted or less content wanted.
syllable_count: 689.4 618.680645161 111% => OK
avg_syllables_per_word: 1.6 1.51630824373 106% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 5.0 9.59856630824 52% => OK
Article: 5.0 3.08781362007 162% => OK
Subordination: 2.0 3.51792114695 57% => OK
Conjunction: 0.0 1.86738351254 0% => OK
Preposition: 2.0 4.94265232975 40% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 22.0 20.6003584229 107% => OK
Sentence length: 19.0 20.1344086022 94% => OK
Sentence length SD: 32.8517833522 48.9658058833 67% => OK
Chars per sentence: 99.4090909091 100.406767564 99% => OK
Words per sentence: 19.5909090909 20.6045352989 95% => OK
Discourse Markers: 6.59090909091 5.45110844103 121% => OK
Paragraphs: 5.0 4.53405017921 110% => OK
Language errors: 0.0 5.5376344086 0% => OK
Sentences with positive sentiment : 12.0 11.8709677419 101% => OK
Sentences with negative sentiment : 1.0 3.85842293907 26% => More negative sentences wanted.
Sentences with neutral sentiment: 9.0 4.88709677419 184% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.187728109008 0.236089414692 80% => OK
Sentence topic coherence: 0.0590395933115 0.076458572812 77% => OK
Sentence topic coherence SD: 0.0720642679085 0.0737576698707 98% => OK
Paragraph topic coherence: 0.122947087458 0.150856017488 81% => OK
Paragraph topic coherence SD: 0.0730105098868 0.0645574589148 113% => OK
Essay readability:
automated_readability_index: 12.2 11.7677419355 104% => OK
flesch_reading_ease: 52.19 58.1214874552 90% => OK
smog_index: 8.8 6.10430107527 144% => OK
flesch_kincaid_grade: 10.7 10.1575268817 105% => OK
coleman_liau_index: 12.13 10.9000537634 111% => OK
dale_chall_readability_score: 8.5 8.01818996416 106% => OK
difficult_words: 107.0 86.8835125448 123% => OK
linsear_write_formula: 9.0 10.002688172 90% => OK
gunning_fog: 9.6 10.0537634409 95% => OK
text_standard: 9.0 10.247311828 88% => OK
What are above readability scores?
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Rates: 76.6666666667 out of 100
Scores by essay e-grader: 23.0 Out of 30
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.