合肥工业大学学报(自然科学版)
閤肥工業大學學報(自然科學版)
합비공업대학학보(자연과학판)
JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY(NATURAL SCIENCE)
2015年
1期
121-126
,共6页
供应链%两级多周期供应链系统%库存配送联合优化%随机需求
供應鏈%兩級多週期供應鏈繫統%庫存配送聯閤優化%隨機需求
공응련%량급다주기공응련계통%고존배송연합우화%수궤수구
supply chain%two-level supply chain system with multi-cycle%inventory and distribution joint optimization%stochastic demand
库存与配送是影响供应链成本的2大要素,库存与配送联合优化对于降低供应链成本有着重要的意义。文章考虑允许缺货且需求随机的情形,建立了多周期多产品单对单2级供应链库存配送联合优化模型;针对缺货损费用和存货2种情境,分别对该模型进行了再优化,并求解出单周期最佳订货量;同时借鉴供应商管理库存(VMI)策略,采用满载量与非满载量相结合的方式求解出零售商所需的最佳车辆数;最后,通过仿真实验表明了将库存配送联合优化比单独优化在降低成本方面有了显著提高,并验证了所建立模型的可行性和实用性。
庫存與配送是影響供應鏈成本的2大要素,庫存與配送聯閤優化對于降低供應鏈成本有著重要的意義。文章攷慮允許缺貨且需求隨機的情形,建立瞭多週期多產品單對單2級供應鏈庫存配送聯閤優化模型;針對缺貨損費用和存貨2種情境,分彆對該模型進行瞭再優化,併求解齣單週期最佳訂貨量;同時藉鑒供應商管理庫存(VMI)策略,採用滿載量與非滿載量相結閤的方式求解齣零售商所需的最佳車輛數;最後,通過倣真實驗錶明瞭將庫存配送聯閤優化比單獨優化在降低成本方麵有瞭顯著提高,併驗證瞭所建立模型的可行性和實用性。
고존여배송시영향공응련성본적2대요소,고존여배송연합우화대우강저공응련성본유착중요적의의。문장고필윤허결화차수구수궤적정형,건립료다주기다산품단대단2급공응련고존배송연합우화모형;침대결화손비용화존화2충정경,분별대해모형진행료재우화,병구해출단주기최가정화량;동시차감공응상관리고존(VMI)책략,채용만재량여비만재량상결합적방식구해출령수상소수적최가차량수;최후,통과방진실험표명료장고존배송연합우화비단독우화재강저성본방면유료현저제고,병험증료소건립모형적가행성화실용성。
Inventory and distribution are the two key factors which affect the cost of supply chain ,so joint optimization of inventory and distribution has important significance in reducing the cost of sup‐ply chain .Taking the situation which allows shortage of products and stochastic demand into account , the inventory and distribution joint optimization model is proposed for the two‐level single‐to‐single supply chain with multi‐cycle and multi‐product .The proposed model is optimized under the scenarios of out‐of‐stock losses and goods in stock respectively ,and the optimal monocyclic order quantity is solved .Meanwhile ,given a combined method with full and non‐full load ,the optimal number of vehi‐cles for retailers is solved by employing the vendor managed inventory (VMI) policy .Finally ,the ex‐perimental results show that joint optimization of inventory and distribution can reduce the cost of supply chain significantly compared with separate optimization ,and the feasibility and usefulness of the optimized model are verified as well .