scholarly journals Freshmilk Supplier Selection Optimization for the Production of Sweetened Condensed Milk and Ready To Drink (Case Study at PT. Frisian Flag Indonesia)

2015 ◽  
Vol 03 (1) ◽  
pp. 33-40
Author(s):  
Wibowo Setio Laksono ◽  
◽  
Amzul Rifin ◽  
Imam Teguh Saptono ◽  
◽  
...  
2019 ◽  
Vol 2 (2) ◽  
pp. 1376
Author(s):  
Zakaria Rasyid ◽  
Ermanto Fahamsyah

This study aims to find out and analyze consumer protection. Manipulating advertisements carried out by companies based on Law Number 8 of 1999 Concerning Consumer Protection (case study of sweetened condensed milk). The research method in the discussion of this Thesis is normative research, that is research conducted to study the legal forms against consumers which are suspected of being manipulation of advertisements carried out by business actors based on Law Number 8 of 1999 Concerning Consumer Protection. Related to the issues discussed in this study concerning legal protection to consumers, the alleged manipulation of advertisements carried out by companies attempts based on Law No. 8 of 1999 concerning Consumer Protection.


2021 ◽  
Author(s):  
Mehmet Ali Tas ◽  
Serap Akcan

Abstract Businesses establish supply chains in order to continue their activities. Choosing the suppliers to take part in these supply chains poses many challenges in rapidly changing conditions. Environmental concerns in the public, competitive market structures, and developing technological opportunities affect the decision-making processes. Different criteria are taken into consideration instead of traditional criteria such as cost and service. In this study, green, agile, and Industry 4.0 dimensions and the criteria under these dimensions are defined. According to these, the problem of selecting the supplier that responds to the expectations of the markets and enables them to increase their competitiveness was discussed. Fuzzy SWARA and fuzzy BMW methods were applied in an integrated way to solve the supplier selection problem under these three dimensions. A real case study was also presented. In the study, the results obtained by creating different scenarios were compared and sensitivity analysis was made. The results obtained show that the hybrid method developed in this study is effective in supplier selection problems. As a result of the study, the most important evaluation dimension is "agile" and the most important criterion is "delivery speed".


2022 ◽  
Author(s):  
Shibbir Ahmad ◽  
Mohammad Kamruzzaman

Abstract In this study, implemented artificial nueral network (Ann) in apparel manufacturing organizations to optimize the supply chain converging on right supplier selection by analyzing their performance criteria.Moreover, data collected from three diffrents factory to analyze the efficiney and profit -loss status of that units. Furthermore, analyze the supplier selection criteria of three suppliers in order to select the right supplier at the real time in apparel manufacturing industry . This study shows that it can be saved 20 % of the total cost.


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