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突發(fā)事件下冷鏈物流車輛路徑再規(guī)劃研究

發(fā)布時(shí)間:2018-05-19 19:41

  本文選題:冷鏈物流 + 車輛路徑��; 參考:《北京交通大學(xué)》2014年碩士論文


【摘要】:隨著人們對(duì)冷凍、冷藏食品需求的增加,使得高成本、低利潤(rùn)的冷鏈物流面臨巨大挑戰(zhàn)。在冷鏈物流中,配送成本占比較高,而車輛路徑規(guī)劃是否合理對(duì)配送成本影響很大。在配送過(guò)程中,諸如交通擁堵、道路改造維護(hù)、交通事故等突發(fā)事件不可預(yù)料、無(wú)法避免,一旦發(fā)生不僅會(huì)增加配送成本,還會(huì)影響客戶的滿意度,車輛路徑再規(guī)劃就顯得尤為重要。 本文首先對(duì)冷鏈物流配送特點(diǎn)進(jìn)行分析,并對(duì)所研究的突發(fā)事件進(jìn)行了界定,在充分考慮了突發(fā)事件下配送的各項(xiàng)成本,包括車輛指派成本、車輛運(yùn)輸成本、貨物貨損成本、車輛溫控能源損耗成本和超過(guò)時(shí)間窗的懲罰成本后,以配送成本最小化為目標(biāo)建立了突發(fā)事件下冷鏈物流車輛路徑再規(guī)劃模型。然后結(jié)合本文研究問(wèn)題及所建模型,設(shè)計(jì)了合適的蟻群算法轉(zhuǎn)移規(guī)則和信息素更新規(guī)則。最后帶入實(shí)例,根據(jù)突發(fā)事件前、后分兩階段進(jìn)行求解和分析,并對(duì)信息啟發(fā)因子、期望啟發(fā)式因子和信息素?fù)]發(fā)系數(shù)進(jìn)行了參數(shù)分析,從而驗(yàn)證了本文所建模型、算法設(shè)計(jì)以及參數(shù)值設(shè)置的合理性和適用性。 本文所研究的突發(fā)事件下冷鏈物流車輛路徑再規(guī)劃問(wèn)題,除了為涉及冷鏈物流的企業(yè)規(guī)劃突發(fā)事件下的車輛路徑提供理論依據(jù),也可為其在決定配送車輛規(guī)模和車輛出發(fā)時(shí)間、考核車輛到達(dá)客戶時(shí)間、調(diào)整與客戶約定的服務(wù)時(shí)間、預(yù)計(jì)貨物貨損量和各項(xiàng)成本等時(shí)提供實(shí)際參考。
[Abstract]:With the increasing demand for frozen and refrigerated food, the high cost and low profit cold chain logistics is facing great challenges. In cold chain logistics, the cost of distribution is relatively high, and whether the vehicle route planning is reasonable has a great influence on the cost of distribution. In the distribution process, unexpected and unavoidable unexpected events, such as traffic congestion, road reconstruction and maintenance, traffic accidents, will not only increase the cost of distribution, but also affect customer satisfaction. Vehicle routing planning is particularly important. In this paper, the characteristics of cold chain logistics distribution are analyzed, and the emergency events are defined. The cost of distribution under the emergency is fully considered, including the cost of vehicle assignment, the cost of vehicle transportation, the cost of goods damage. After the cost of energy loss of vehicle temperature control and the penalty cost exceeding the time window, the replanning model of cold-chain logistics vehicle path under sudden events is established with the aim of minimizing the distribution cost. Then, combined with the research problem and the model, the appropriate ant colony algorithm transfer rules and pheromone updating rules are designed. Finally, an example is introduced. According to the two stages before and after the emergency, the solution and analysis are carried out, and the information heuristic factor, expectation heuristic factor and pheromone volatilization coefficient are analyzed, which verifies the model established in this paper. The rationality and applicability of algorithm design and parameter value setting. In this paper, the replanning problem of cold-chain logistics vehicle path under sudden events can not only provide theoretical basis for enterprises involved in cold-chain logistics to plan the vehicle routing under unexpected events, but also determine the size and departure time of vehicles. Check the arrival time of the vehicle, adjust the service time agreed with the customer, estimate the cargo damage and cost and provide practical reference.
【學(xué)位授予單位】:北京交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TP18;F252

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