發(fā)布時(shí)間：2018-12-09 19:50

【摘要】：在供應(yīng)鏈成本中，生產(chǎn)成本、庫(kù)存成本和運(yùn)輸成本占重要地位，所以生產(chǎn)管理、庫(kù)存管理和運(yùn)輸管理就成為了供應(yīng)鏈管理中的三個(gè)重要方面。在實(shí)際生活中，許多因素都是隨機(jī)變化的，所以傳統(tǒng)的企業(yè)或供應(yīng)鏈管理方面的文獻(xiàn)主要考慮了生產(chǎn)與庫(kù)存聯(lián)合優(yōu)化問題或庫(kù)存與運(yùn)輸優(yōu)聯(lián)合化問題。本文針對(duì)非一體化的供應(yīng)鏈情形，研究隨機(jī)需求下生產(chǎn)-庫(kù)存-運(yùn)輸聯(lián)合優(yōu)化模型，主要研究工作如下： (1)考慮隨機(jī)需求下單供應(yīng)商和多零售商的生產(chǎn)-庫(kù)存-運(yùn)輸聯(lián)合優(yōu)化問題。在獨(dú)立決策時(shí)，各零售商獨(dú)立決策其最優(yōu)訂貨量和最優(yōu)訂貨點(diǎn)，供應(yīng)商根據(jù)各零售商的決策來為之配送。在聯(lián)合決策時(shí)，由供應(yīng)商統(tǒng)一決策各零售商的送貨量和送貨時(shí)間，并基于此建立單供應(yīng)商與多零售商的生產(chǎn)-庫(kù)存-運(yùn)輸優(yōu)化模型，利用粒子群算法和模擬退火算法相結(jié)合的兩階段算法求出最優(yōu)送貨量、最優(yōu)運(yùn)輸路徑和最大期望總利潤(rùn)。然后采用收入共享契約將增加的利潤(rùn)合理分配給供應(yīng)商和各零售商，使各方利潤(rùn)都得到增加，從而促使各方愿意合作。最后，，通過數(shù)值算例驗(yàn)證了聯(lián)合優(yōu)化模型優(yōu)于獨(dú)立決策模型。 (2)考慮隨機(jī)需求下多供應(yīng)商和多零售商的生產(chǎn)-庫(kù)存-運(yùn)輸聯(lián)合優(yōu)化問題。在獨(dú)立決策時(shí)，若零售商到供應(yīng)商的距離小于或者等于一個(gè)固定距離，則運(yùn)費(fèi)由供應(yīng)商承擔(dān)；否則，運(yùn)費(fèi)由零售商承擔(dān)。各零售商根據(jù)利潤(rùn)選擇供應(yīng)商然后獨(dú)立決策其最優(yōu)訂貨量和最優(yōu)訂貨點(diǎn)，供應(yīng)商根據(jù)各零售商的決策來為之配送。在聯(lián)合決策時(shí)，利用最近鄰算法將零售商分區(qū)，分區(qū)后問題轉(zhuǎn)化為隨機(jī)需求下單供應(yīng)商對(duì)多零售商的生產(chǎn)-庫(kù)存-運(yùn)輸優(yōu)化模型。
[Abstract]:In the supply chain cost, production cost, inventory cost and transportation cost play an important role, so production management, inventory management and transportation management have become three important aspects of supply chain management. In real life, many factors are randomly changed, so the traditional literature on enterprise or supply chain management mainly considers the joint optimization of production and inventory or the optimization of inventory and transportation. In this paper, the joint optimization model of production-inventory and transportation under stochastic demand is studied for the non-integrated supply chain. The main research work is as follows: (1) considering the joint optimization problem of production-stock-transport for stochastic demand issuing suppliers and multiple retailers. In the independent decision, each retailer independently decides its optimal order quantity and the optimal ordering point, and the supplier distributes it according to the decision of each retailer. In the joint decision, the supplier decides the delivery quantity and delivery time of each retailer uniformly. Based on this, the production-inventory transportation optimization model of single supplier and multi-retailer is established. A two-stage algorithm combining particle swarm optimization and simulated annealing algorithm is used to calculate the optimal delivery volume, the optimal transportation path and the maximum expected total profit. Revenue sharing contracts are then used to distribute the increased profits reasonably to suppliers and retailers, so that the profits of all parties are increased, thus encouraging the parties to cooperate. Finally, numerical examples show that the joint optimization model is superior to the independent decision model. (2) considering the production-inventory-transportation joint optimization problem of multiple suppliers and retailers under random demand. If the distance between the retailer and the supplier is less than or equal to a fixed distance, the freight will be borne by the supplier; otherwise, the freight will be borne by the retailer. Each retailer selects the supplier according to the profit and decides its optimal order quantity and the optimal ordering point independently. The supplier distributes the supplier according to the decision of each retailer. In joint decision making, retailers are partitioned by nearest neighbor algorithm, and the problem after partitioning is transformed into a production-stock-transportation optimization model of suppliers with random demand to multiple retailers.
【學(xué)位授予單位】：合肥工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：F274;F224

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