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Value Stream Mapping of Rope Manufacturing: A Case Study
Author(s) -
Korakot Yuvamitra,
Jim Lee,
Kanjicai Dong
Publication year - 2017
Publication title -
international journal of manufacturing engineering
Language(s) - English
Resource type - Journals
eISSN - 2356-7023
pISSN - 2314-5781
DOI - 10.1155/2017/8674187
Subject(s) - value stream mapping , rope , process (computing) , computer science , identification (biology) , order (exchange) , industrial engineering , value (mathematics) , process management , state (computer science) , manufacturing engineering , lean manufacturing , engineering , business , algorithm , botany , finance , machine learning , biology , operating system
In today’s competitive market place, manufacturing companies must apply continuous process improvement in order to maintain a returning customer base. One way of achieving constant process improvement is through value stream mapping. Value stream mapping is used to visualize the current processes for easier understanding and problem identification. A well-defined problem statement will ensure a successful outcome of a project improvement process. This research provides a case study performed on a rope manufacturing process. A current state value stream map is created, and the possible improvements are suggested. The implemented results are shown in the form of future state map. The results show that, after waste elimination and structural revision, a manufacturing process becomes more efficient, enabling the customer to receive an order significantly faster

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