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Recognising the enormous potential of just‐in‐time (JIT) conceptsfor boosting productivity and quality, an increasing number of US andEuropean firms consider adopting JIT…
Recognising the enormous potential of just‐in‐time (JIT) concepts for boosting productivity and quality, an increasing number of US and European firms consider adopting JIT concepts in manufacturing. However, the transfer of a manufacturing policy from traditional to JIT always requires radical structural changes in a production line design. One typical example of these changes is uniform assembly which does not allow high variability in the production schedules. Consequently, major hindrance to uniform assembly is a random fluctuation of task processing times in assembly line balancing. This article proposes a heuristic which takes into account stochastic task processing times and further develops a work assignment with the lowest expected total cost as well as an assignment with the highest work completion probability crucial for the success of JIT manufacturing.
In pursuit of zero‐defect quality, a growing number of JITmanufacturing firms often consider a line‐stop strategy that allowsworkers to stop the assembly line when…
In pursuit of zero‐defect quality, a growing number of JIT manufacturing firms often consider a line‐stop strategy that allows workers to stop the assembly line when abnormalities occur during production process, and to repair defects immediately as they occur. The line‐stop strategy contrasts with a traditional off‐line repair strategy that either scraps the defects or sends them to a separate repair station. Develops an expected total cost model to demonstrate the cost‐effectiveness of the line‐stop strategy over the off‐line repair strategy in JIT environments. Computational experiments indicate that cost savings resulting forum using the line‐stop strategy are greater than those using the off‐line repair strategy.
Examines the effectiveness of the line‐stop (on‐line) repair policy over traditional off‐line repair policy through two mathematical models developed based on total…
Examines the effectiveness of the line‐stop (on‐line) repair policy over traditional off‐line repair policy through two mathematical models developed based on total quality failure costs (TFC). The proposed models demonstrate that the TFC framework can be a valuable performance measure for evaluating the contribution of the line‐stop repair policy. The computational results also show that the line‐stop policy can bring substantial savings over the off‐line repair policy.