Machine replacement under evolving deterministic and stochastic costs

2017 ◽  
Vol 193 ◽  
pp. 491-501 ◽  
Author(s):  
Yuri Yatsenko ◽  
Natali Hritonenko
Keyword(s):  
2018 ◽  
Vol 8 (2) ◽  
pp. 159-168
Author(s):  
Devi Asiati ◽  
Gutomo Bayu Aji ◽  
Vanda Ningrum ◽  
Ngadi Ngadi ◽  
Triyono Triyono ◽  
...  

Transformation of digitalization in large industries has an impact on the automation of production equipment, including the replacement of production machines from conventional machines (manual) to digital machines. Meanwhile, automation of production equipment requires workers with higher skills, in fact the existing workforce does not have expertise in carrying out all-digital equipment. The impact is a reduction in labor (layoffs). Machine replacement is done in stages so that the reduction of workforce (PHK) in bulk is not visible. However, the inconsistency between the preparation in the world of education and the needs in the world of work continues to occur today. Until now, vocational development based on local resources has not been operating optimally and needs serious attention from the local government. The government on various occasions mentioned four leading sectors that will be strengthened in the development of vocational institutions, namely maritime, tourism, agriculture (food security), and the creative industry. In addition, the government is also developing a policy scheme for Skill Development Funds (SDF), which is a skills improvement program for workers affected by automation (PHK), including through Vocational Training Center (BLK).


2019 ◽  
Vol 218 ◽  
pp. 62-71
Author(s):  
Brett A. Shields ◽  
Javad Seif ◽  
Andrew Junfang Yu

1999 ◽  
Vol 89 (4) ◽  
pp. 921-946 ◽  
Author(s):  
Russell Cooper ◽  
John Haltiwanger ◽  
Laura Power

This paper explores investment fluctuations due to discrete changes in a plant's capital stock. The resulting aggregate investment dynamics are surprisingly rich, reflecting the interaction between a replacement cycle, the cross-sectional distribution of the age of the capital stock, and an aggregate shock. Using plant-level data, lumpy investment is procyclical and more likely for older capital. Further, the predicted path of aggregate investment that neglects vintage effects tracks actual aggregate investment reasonably well. However, ignoring fluctuations in the cross-sectional distribution of investment vintages can yield predictable nontrivial errors in forecasting changes in aggregate investment. (JEL E22, E32)


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