Abstract
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.
Highlights
In order to compete in the current markets, manufacturing companies need to review and continuously improve their manufacturing systems
The problem statement in this research of Lean manufacturing is for management to establish a visualized tool showing the current process of rope manufacturing
The objective is to develop a value stream mapping (VSM) as a methodology for Lean implementation in the rope manufacturing industry
Summary
In order to compete in the current markets, manufacturing companies need to review and continuously improve their manufacturing systems. Steps for Lean implementation must be determined from a welldefined process map in order to estimate the improvement after implementation In this situation, value stream mapping (VSM) is utilized as a Lean methodology to redesign manufacturing systems. The research performed by Serrano et al [8, 9] shows that a value stream map developed within a Lean paradigm helped practitioners redesign production systems. These authors state that other methodologies, methods, and tools are potentially applicable to the redesign of manufacturing systems. The material and information software seem to be promising in redesigning manufacturing systems, the software training cost and the amount of learning time needed negate a reasonable manufacturing process implementation
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