Green productivity improvement and sustainability assessment of the motorcycle tire production process: A case study

2018 ◽  
Vol 191 ◽  
pp. 273-282 ◽  
Author(s):  
Marimin ◽  
Muhammad Arif Darmawan ◽  
Rum Puspita Widhiarti ◽  
Yuliana Kaneu Teniwut
2014 ◽  
Vol 85 ◽  
pp. 201-211 ◽  
Author(s):  
Marimin ◽  
Muhammad Arif Darmawan ◽  
Machfud ◽  
Muhammad Panji Islam Fajar Putra ◽  
Bangkit Wiguna

The purpose of this study is to make productivity better by means of 5S, work study, and Muda elimination in corrugated carton industry which was conducted from November 2018 to March 2019 from a case study of XYZ Co., Ltd. The data were collected from managers and supervisors and the problems were analyzed by brainstorming together with cause and effect diagram. Crucial problems of production occurred from human errors, i.e. production employees ignored to check the availability of machines before operating the machine, production employees neglected to prepare materials for next orders while machines operating, and warehouse employees randomly checked the humidity before the storage of corrugated sheet papers. Employees could be trained about production process, machine operation, quality inspection, and planning process. The production process could be changed from operating machine without checking machine availability and removing material remains in the machine to check availability and removing materials remains in the machine before operating new purchasing order. The output was then increased from 2,000 to 2,300 ton per month, accounting for 15.00 percent of improvement. The defect was reduced from 160 to 140 pieces per month, accounting for 12.50 percent of improvement. Regarding the storage process, it could be changed from random check of humidity to check of humidity every time. The messy in warehouse had caused mixing of wet or damp raw materials with good quality raw materials. Once it was improved by cleaning, classifying materials, products and areas with sign boards, the results showed that the materials and products were easier to find and product quality was increased. Company launches 5S policy and doing 5S activities continuously twice a month. The findings presented that the number of employees who neglected to comply with the organizational regulations was reduced from 6 to 2 persons, accounting for 66.67 percent of improvement.


2018 ◽  
Vol 11 (8) ◽  
Author(s):  
Jagdeep Singh ◽  
Surjit Kumar Gandhi ◽  
Harwinder Singh ◽  
Navjot Singh

2020 ◽  
Vol 13 (2) ◽  
Author(s):  
Prof. ravi Nagaich ◽  
Sanjay Sahu

2020 ◽  
Vol 12 (6) ◽  
pp. 2208 ◽  
Author(s):  
Jamie E. Filer ◽  
Justin D. Delorit ◽  
Andrew J. Hoisington ◽  
Steven J. Schuldt

Remote communities such as rural villages, post-disaster housing camps, and military forward operating bases are often located in remote and hostile areas with limited or no access to established infrastructure grids. Operating these communities with conventional assets requires constant resupply, which yields a significant logistical burden, creates negative environmental impacts, and increases costs. For example, a 2000-member isolated village in northern Canada relying on diesel generators required 8.6 million USD of fuel per year and emitted 8500 tons of carbon dioxide. Remote community planners can mitigate these negative impacts by selecting sustainable technologies that minimize resource consumption and emissions. However, the alternatives often come at a higher procurement cost and mobilization requirement. To assist planners with this challenging task, this paper presents the development of a novel infrastructure sustainability assessment model capable of generating optimal tradeoffs between minimizing environmental impacts and minimizing life-cycle costs over the community’s anticipated lifespan. Model performance was evaluated using a case study of a hypothetical 500-person remote military base with 864 feasible infrastructure portfolios and 48 procedural portfolios. The case study results demonstrated the model’s novel capability to assist planners in identifying optimal combinations of infrastructure alternatives that minimize negative sustainability impacts, leading to remote communities that are more self-sufficient with reduced emissions and costs.


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