DEVELOPMENT OF THE PRODUCTION PLANNING MODEL IN A MULTI-PLANT COLLABORATIVE MANUFACTURING ( CASE STUDY : PT LG ELECTRONIC INDONESIA )
Nowadays, the electronics industry is growing rapidly, indicated by greater variety of electronic products offered to the market. This condtion certainly will impact directly to the factory electronics manufacturers. Currently, producers, particularly electronics manufacturers do not produce their o...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/16897 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Nowadays, the electronics industry is growing rapidly, indicated by greater variety of electronic products offered to the market. This condtion certainly will impact directly to the factory electronics manufacturers. Currently, producers, particularly electronics manufacturers do not produce their own products. Components or parts of a product can be produced, assembled, and distributed in various plants in different locations or even in different countries, in a collaborative way for the purpose of expanding capacity, production efficiency, and reduce costs. Hence, to produce the product, production network needs a good cooperation and mutual benefit of each plants involved by considering all aspects. This research aims to develop a model of production planning by considering aspects of production, supply chain aspects, cost aspects, aspects of assembly, production capacity. This model is developed and adapted to the characteristics of the company's production network and product structure case studies. The quantity and location of the order is a decision variable in this model. The results showed that collaboration in achieving the objective function has successfully minimized the production cost. Collaboration is performed to find the quantity and location of the order which minimized the production cost. The sensitivity analysis shows that the value of total production costs are relatively insensitive to changes in cost parameters, time parameters, and parameters of production capacity size. |
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