Note on 'distributed scheduling based on due dates and buffer priorities' by S.H. Lu and P.R. Kumar

Tang, Zhuodong; Shi, Leyuan

doi:10.1109/9.256408

Cited by 5 publications

(3 citation statements)

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“…Better performance indicator of production cycle time leads to a better performance of hit rate. Lu and Kumar (1991) and Tang and Shi (1992) analyzed several dispatching rules and found that, when the average production cycle time and variance were decreased, the reliability of due‐date could be improved. Based on the above‐mentioned literature, smaller average production cycle time and variance would lead to better performance of hit rate.…”

Section: Literature Reviewmentioning

confidence: 99%

An Experimental Study to Improve Due‐date Performance

Wang

Li²,

Chen³

et al. 2009

Asian Journal on Quality

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Due‐date performance (DDP) is a very important performance indicator for the companies. Thus, companies with a high hit rate would have greater competitive advantage; on the contrary, companies that delay customers' orders frequently would lose sales opportunities and reputations. Therefore, there were many academic studies and practical efforts to improve DDP in the past, but the problem of low hit rate still exists. In order to increase the hit rate, some companies have focused on reducing the variation, while others focus on production management, but is the real problem affecting the low rate variability or production management? This is indeed difficult to be validated through practice. Therefore, this study designed three scenarios, tested each scenario for 30 times, each test involved seven subjects. The tests were to provide counter‐evidence in the Job Shop environment without variation. If the variation is the main factor of affecting hit rate, the rate at this time should be good; otherwise, the assumption that variation is the main cause is rebutted. The results demonstrated that production management planning is the main cause, and the method of enhancing the hit rate is obtained during the test.

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Section: Literature Reviewmentioning

confidence: 99%

An Experimental Study to Improve Due‐date Performance

Wang

Li²,

Chen³

et al. 2009

Asian Journal on Quality

View full text Add to dashboard Cite

show abstract

“…In [7], Kumar and Seidman study general issues in stability of FMS and introduce a universally stabilizing supervisory mechanism (USSM) that can stabilize any scheduling policy. In [8], Lu and Kumar prove stability for a class of policies whose aims are to optimize the performance of the FMS with respect to criteria such as the mean and variance of the total delay incurred in processing a part (other related work can be found in [9]). In [10], Humes introduces the use of "regulators"…”

Section: Literature Overviewmentioning

confidence: 99%

“…The work done in [1,15] provided the inspiration for this result. Note, however, that although the multiple-machine cases in [2], [7], [8], [9], [10], [11] and [3] consider a type of either serial or parallel production where parts can move from one machine to another one, they do not take into account the case where multiple machines can work together to service a set of part types at the same point in the system in the sense that we considered it here (e.g., via two or more processors processing in parallel task types from different buffers). To the best of our knowledge, the closest approach to the one studied in this dissertation can be found in pull production systems [14], where a set of M machines are working in parallel to serve a set of N buffers with a common input stream to a specific queue.…”

Section: Summary and Contributionsmentioning

confidence: 99%