| dc.contributor.advisor | Djatna, Taufik | |
| dc.contributor.author | Aeman, Muhammad Zenith | |
| dc.date.accessioned | 2017-05-31T09:19:23Z | |
| dc.date.available | 2017-05-31T09:19:23Z | |
| dc.date.issued | 2016 | |
| dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/86785 | |
| dc.description.abstract | A common challenge in fulfilling the demand of the raw material
requirement is a continuous and repetitive work in a CPO based industry. Main
type of operations and procurement in this work lead to how to identify factors
that affect the Aggregate Production Planning (APP) system in a CPO based
industry. The objectives of this work including how to construct the forecasting
model of raw material supply and demands, and to develop an aggregate
production planning model in CPO based industry with a dynamic programming
approach, and eventually to optimize the total production cost and increase the
profit. Parameters of the production process in the APP system consists of
working time, productivity, production capacity, inventory level, inventory
capacity, subcontract and cost parameters. The forecasted demand of CPO was
computed by Additive Decomposition. The forecasted supply of raw material was
computed by Multiplicative Decomposition Method. The model showed that the
total minimum cost of the CPO production for a year is around Rp 126 Billion.
The result of DP showed a potential forecasted profit in the next year. | id |
| dc.language.iso | id | id |
| dc.publisher | Bogor Agricultural University (IPB) | id |
| dc.subject.ddc | Agroindustrial technology | id |
| dc.subject.ddc | Palm oil | id |
| dc.title | An Aggregate Production Planning Model With Dynamic Programming Approach for Palm Oil Industry | id |
| dc.type | Undergraduate Thesis | id |
| dc.subject.keyword | aggregate production planning | id |
| dc.subject.keyword | forecasting | id |
| dc.subject.keyword | dynamic programming | id |
