计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2014年
2期
216-221
,共6页
钢铁企业%生产库存优化%原材料价格波动%多期决策
鋼鐵企業%生產庫存優化%原材料價格波動%多期決策
강철기업%생산고존우화%원재료개격파동%다기결책
steel enterprise%production and inventory optimization%raw material price fluctuation%multi-period decision
考虑钢铁企业钢材生产受钢材需求和生产变动成本波动的双重影响，在预测基础上，建立钢材生产库存多期动态优化模型。由于模型涉及多种钢材及多个时段，属于大规模问题，求解困难，且为了避免粒子群算法陷入局部最优，提出采用模拟退火与粒子群组合智能算法对模型进行求解。最后通过钢铁企业L的案例，结果表明算法具有较强的收敛性和适用性，模型可用于解决钢铁企业多期生产实际问题。
攷慮鋼鐵企業鋼材生產受鋼材需求和生產變動成本波動的雙重影響，在預測基礎上，建立鋼材生產庫存多期動態優化模型。由于模型涉及多種鋼材及多箇時段，屬于大規模問題，求解睏難，且為瞭避免粒子群算法陷入跼部最優，提齣採用模擬退火與粒子群組閤智能算法對模型進行求解。最後通過鋼鐵企業L的案例，結果錶明算法具有較彊的收斂性和適用性，模型可用于解決鋼鐵企業多期生產實際問題。
고필강철기업강재생산수강재수구화생산변동성본파동적쌍중영향，재예측기출상，건립강재생산고존다기동태우화모형。유우모형섭급다충강재급다개시단，속우대규모문제，구해곤난，차위료피면입자군산법함입국부최우，제출채용모의퇴화여입자군조합지능산법대모형진행구해。최후통과강철기업L적안례，결과표명산법구유교강적수렴성화괄용성，모형가용우해결강철기업다기생산실제문제。
The fluctuations of steel demand and production variable cost influence the steel production quantity jointly. Based on the raw material price, steel demand and steel price forecasting, steel production and inventory dynamic optimi-zation model is established. Because the model relates to a variety of steel products and periods, it belongs to large-scale problems and is hard to be solved. And in order to avoid particle swarm algorithm falls into local optimum, a portfolio algorithm combined simulated annealing and particle swarm algorithm is put forward to solve the model. Through the case of steel enterprise L, the results show that the portfolio algorithm has strong convergence and widely use and the model can be used to solve the steel enterprise’s practical production problems.
