ACADSTAFF UGM
| Title | : | Production Chain System Simulation Analysis: Impact of High Variety Production |
| Author | : |
FAIZ AKBAR IMADUDDIN (1) Shuo Yan Chou (2) Ir. I Gusti Bagus Budi Dharma, S.T., M.Eng., Ph.D., IPM., ASEAN Eng. (3) |
| Date | : | 0 2020 |
| Keyword | : | Simulation, High Variety, Chain System, Flexsim Simulation, High Variety, Chain System, Flexsim |
| Abstract | : | Market trends have shown a shift towards more customized products. This trend has resulted in more product lines and demand variability. Manufacturers increase the range of product variety offered to the market to provide more choice for customers. Some examples in manufacturing industries such as the textile/apparel industry, the semiconductor/electronics industry, and the automotive industry, as well as service industries such as call centers. Flexibility is one way of an initiative to help manufacturers satisfy their need of high-variety production. Range flexibility is the extent to which a system can adapt. Range flexibility can also be called for a range of product variety that able to be processed by manufacturers. Increased range flexibility or product variety to offer open possibility to a closer match between customer preferences and offered products, which lead to the potential of improving or maintaining market share and/or yielding higher prices. On the other hand, higher product variety could lead to operational inefficiencies incurred whenever the system is making more than one product. The inefficiencies can be increased costs of raw material, component procurement, and storage and distribution of finished goods. The system is a collection of interdependent things, interact, and work together as part of an interconnected mechanism or network. Essential points in the system include a system consisting of more than one entity, entities in the system are active and interact with each other, and the active system must have a purpose. The supply chain system is an integrated manufacturing process wherein raw materials are converted into final products, then delivered to customers. Simulation models often used in a manufacturing environment to help check the decision before being deployed into the real system. Therefore, the simulation model needs to represent the actual model as close as possible. The Digital model that reaches the closest representation as the real one is called Digital Twin. This digital twin is usually utilized to simulate a solution and will give the expected emergent behavior from that solution. This study creates a production chain system model and simulates it in a structured approach to provide the ability to get insight from the production chain system that does a high variety production. In the system consists of Manufacturing Facility, Storage Facility, and Transport Facility, each of the three has its role in the system. |
| Group of Knowledge | : | |
| Level | : | Internasional |
| Status | : |
Published
|
| No | Title | Action |
|---|---|---|
| 1 |
Proceedings of IPO 2020.pdf
Document Type : [PAK] Full Dokumen
|
View |