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AN efficient algorithm for the bottleneck product rate variation problem with precedence constraints

DOI: 10.3126/kuset.v7i1.5423, PP. 63-73

Keywords: integer programming,just-in-time sequencing,mixed-model systems,bottleneck product rate variation,precedence constraints.

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Abstract:

We consider the problem of obtaining an optimal mixed-model sequence under the just-in-time environment. Industrial applications include the production planning, real-time scheduling, response time variability and networking. The single-level problems are already solved, but they are strongly NP-hard in the multi-levels. Here, we study a bottleneck product rate variation problem with a general objective where a given set of sequences serves as chain constraints. We extend the previous result of a similar problem with min-max deviation objective in single- level. We present a pseudo-polynomial algorithm that obtains an optimal solution for the considered objective. The results are valid for precedence constraints. Keywords : integer programming; just-in-time sequencing; mixed-model systems; bottleneck product rate variation; precedence constraints. DOI: http://dx.doi.org/ 10.3126/kuset.v7i1.5423 KUSET 2011; 7(1): 63-73

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