A Comprehensive Approach Using Value Stream Mapping
Open Access DepositedOptimizing Cycle Time in SMT Manufacturing
however, it struggles to achieve equivalent results for individual assemblies, especially when faced with complex designs and component configurations. The results underscore the importance of scheduling and planning at the machine and line levels to eliminate inefficiencies. This praxis contributes to the broader research stream of SMT optimization and introduces a model that is suitable for various HMLV production environments.
Optimizing Cycle Time in SMT Manufacturing
A Comprehensive Approach Using Value Stream Mapping This praxis introduces a thorough approach to optimizing cycle time in surface mount technology (SMT) manufacturing environments, focusing on high-mix low-volume (HMLV) production environments tailored to serve various industries, with a particular focus on the aerospace industry. Production scheduling inefficiencies, prolonged setup times, and unbalanced machine cycle times are among the most critical challenges facing the electronics industry. This praxis develops and validates an optimization strategy that utilizes advanced simulation tools such as Arena for value stream mapping and SMTrue Run Optimize for machine programming. Weekly sequencing of assembly orders to reduce idle time, balancing cycle times across pick-and-place machines, and grouping assemblies with common setup requirements are the key methodologies targeted by this praxis to optimize cycle time. The results of a simulation analysis demonstrate that these methodologies can reduce cycle time by up to 40%, enhance throughput, reduce idle time, and improve resource utilization. The optimized model yields significant improvements at the system level
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AlSalaymeh_gwu_0075A_17463.pdf | 2025-12-11 | Open Access |
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