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Optimal Planning For Failure-Prone Manufacturing Systems: A Discrete Nonlinear Optimization Approach (決定理論と最適化アルゴリズム 研究集会報告集)
| Content Provider | Semantic Scholar |
|---|---|
| Author | Giri, Bibhas Chandra 土肥 正. |
| Copyright Year | 2005 |
| Abstract | Abstract The paper addresses a generalized discrete time EMQ (Economic Manufacturing Quantity) model for a failure-prone manufacturing system consisting of a single machine producing a single part type. The time to failure of the machine, corrective and preventive repair times all are assumed to follow arbitrary discrete probability distributions. The proposed model is formulated based on the net present value (NPV) approach, treating the machine production rate as (i) predetermined or, (ii) flexible. The criteria for the existence of a local optimal solution for the NPV model and the long-run average cost model are derived under geometric repair time distributions, when the production rate is predetermined. A hybridized neural network (NN) and branch and bound (BB) algorithm is developed for the associated discrete nonlinear optimization problem when the production rate is treated as flexible. Numerical examples are provided to determine the optimal production policy numerically and examine its dependence on the chastic behavior of the system failure and repair. A comparison of the outcome obtained by time discretization in the corresponding continuous time model to that of the discrete time model is also made. |
| Starting Page | 115 |
| Ending Page | 124 |
| Page Count | 10 |
| File Format | PDF HTM / HTML |
| Volume Number | 1409 |
| Alternate Webpage(s) | https://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/26162/1/1409-11.pdf |
| Alternate Webpage(s) | http://www.kurims.kyoto-u.ac.jp/~kyodo/kokyuroku/contents/pdf/1409-11.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
