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首頁(yè)> 美國(guó)衛(wèi)生研究院文獻(xiàn)>International Journal of Environmental Research and Public Health >Implementing Green Supply Chain Management for Online Pharmacies through a VADD Inventory Model
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Implementing Green Supply Chain Management for Online Pharmacies through a VADD Inventory Model

機(jī)譯：通過(guò)VADD庫(kù)存模型對(duì)在線藥店實(shí)施綠色供應(yīng)鏈管理

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Online pharmacies are an important part of the modern healthcare system. They interact with customers through well-designed web interfaces to deliver the healthcare customers need. In addition to well-designed web interfaces, online pharmacies rely on an effective supply chain system to provide medical supplies and services, and especially effective inventory management for supply systems. As green supply chain management (GSCM) becomes increasingly considered by countries, how to develop a sustainable inventory model that takes into account the revenue growth of an online pharmacy while preventing waste and reducing energy costs has become very important. In line with this trend, the study develops a sustainable inventory model that focuses on both economic aspect (profit) and environmental aspect (losses from excessive inventory) within a framework of a single period multi-product inventory model. Specifically, the sustainable inventory model applies the visual-attention-dependent demand (VADD) rate to characterize customer demand in an online trading environment, thereby seeking a profitable marketing strategy and reducing losses due to excessive inventory. Since the complexity of model optimization will drastically increase due to the inclusion of many products in the problem, a Genetic Algorithm (GA) based solution procedure is proposed to increase the feasibility of the proposed model in solving real problems. The sustainable inventory model and the solution procedure are illustrated, compared, and discussed with an online pharmacy example. Additionally, a sensitivity analysis is formulated to study the influence of model parameters on the model solution, the loss of unsold inventory that results in a waste of resources and energy, and the profit of online pharmacies.
機(jī)譯：在線藥房是現(xiàn)代醫(yī)療保健系統(tǒng)的重要組成部分。他們通過(guò)精心設(shè)計(jì)的Web界面與客戶互動(dòng)，以提供客戶所需的醫(yī)療保健。除了精心設(shè)計(jì)的Web界面之外，在線藥房還依靠有效的供應(yīng)鏈系統(tǒng)來(lái)提供醫(yī)療用品和服務(wù)，尤其是對(duì)供應(yīng)系統(tǒng)的有效庫(kù)存管理。隨著各國(guó)越來(lái)越多地考慮綠色供應(yīng)鏈管理（GSCM），如何開發(fā)一種既考慮在線藥房收入增長(zhǎng)又要防止浪費(fèi)，降低能源成本的可持續(xù)庫(kù)存模型已經(jīng)變得非常重要。順應(yīng)這一趨勢(shì)，本研究開發(fā)了一種可持續(xù)的庫(kù)存模型，該模型在單周期多產(chǎn)品庫(kù)存模型的框架內(nèi)著重于經(jīng)濟(jì)方面（利潤(rùn)）和環(huán)境方面（過(guò)量庫(kù)存造成的損失）。具體而言，可持續(xù)庫(kù)存模型采用視覺(jué)注意力相關(guān)需求（VADD）率來(lái)表征在線交易環(huán)境中的客戶需求，從而尋求有利可圖的營(yíng)銷策略并減少因庫(kù)存過(guò)多而造成的損失。由于問(wèn)題中包含許多產(chǎn)品，模型優(yōu)化的復(fù)雜性將大大增加，因此提出了一種基于遺傳算法（GA）的求解過(guò)程，以提高所提出的模型解決實(shí)際問(wèn)題的可行性。通過(guò)在線藥房示例說(shuō)明，比較和討論了可持續(xù)庫(kù)存模型和解決程序。此外，還進(jìn)行了敏感性分析，以研究模型參數(shù)對(duì)模型解決方案的影響，導(dǎo)致資源和能源浪費(fèi)的未售庫(kù)存損失以及在線藥房的利潤(rùn)。

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