2019
DOI: 10.1088/1742-6596/1378/3/032043
|View full text |Cite
|
Sign up to set email alerts
|

A Generalized Model for Automation Cost Estimating Systems (ACES) for Sustainable Manufacturing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 15 publications
(3 citation statements)
references
References 18 publications
0
3
0
Order By: Relevance
“…The effects had consequences for textile production, which was to see these changes first, as well as for the iron industry, agriculture, and mining, although it also had social implications of an ever-growing middle class. At the time it even influenced the British industry [2,54]. The era between 1870 and 1914 is happened to be the span of the second industrial revolution, or best known as the technological revolution.…”
Section: The Fourth Industrial Revolutionmentioning
confidence: 99%
“…The effects had consequences for textile production, which was to see these changes first, as well as for the iron industry, agriculture, and mining, although it also had social implications of an ever-growing middle class. At the time it even influenced the British industry [2,54]. The era between 1870 and 1914 is happened to be the span of the second industrial revolution, or best known as the technological revolution.…”
Section: The Fourth Industrial Revolutionmentioning
confidence: 99%
“…High-capacity operation and smooth balanced load are secured in inventory due to the protection given by production. The strategy of changing customer preferences in long lead times and high costs of customization seems too high for most companies due to its cost for both flexibilities in relation and inventory [19]. The fast and flexible modification takes place in changing demand due to Investments in over-capacity, as the cost of the needed slack resources is too high, this plan of action rarely becomes a feasible option to remain in the competition [20].…”
Section: Capacity Planningmentioning
confidence: 99%
“…Resources that allows delivery of services via telephones constitutes a call centre. Call durations are random in a call centre, incoming calls also arrive randomly determined by a stochastic process while waiting calls may end after a random waiting time, some employees may not show up at work too due to some random reasons, all these implies a call centre can be descried as a complex queuing system/model [5]. In some unique cases, emergency calls may arrive randomly, and they must be attended to as soon as possible, for example, in a hospital call centre or the police call centre.…”
Section: Introductionmentioning
confidence: 99%