本文選題：開放式創(chuàng)新 + 不確定規(guī)劃��； 參考：《山東大學》2017年碩士論文

【摘要】：隨著知識經濟時代的到來,傳統(tǒng)的僅僅依靠企業(yè)內部資源的"封閉式"創(chuàng)新模式已然很難適應當前研發(fā)成本的劇增、產品生命周期的縮短和競爭的日益全球化,打破企業(yè)邊界的開放式創(chuàng)新模式應運而生。因此,研究開放式創(chuàng)新對企業(yè)價值甚至是整個供應鏈價值的影響顯得尤為重要。由于受各種因素的影響,任何一種創(chuàng)新在真正實施之前創(chuàng)新效果都是難以確定的。鑒于此,本文充分考慮創(chuàng)新效果帶來的不確定性,對供應鏈價值創(chuàng)造問題進行了研究探討。首先,根據(jù)供應鏈的運行狀況建立非線性規(guī)劃模型,最大化制造商利潤并同時滿足零售商及開放式創(chuàng)新主體期望利潤。同時針對開放式創(chuàng)新模式下創(chuàng)新效果不確定的情況,引入了不確定的區(qū)間量ui∈[ui0-ui,ui0+ui]構建了帶有不確定量的非線性規(guī)劃模型——不確定規(guī)劃模型。針對不確定規(guī)劃的不確定量,考慮模擬自然界中帶有隨機行為的群智能算法,設計了離散PSO算法。其次,又綜合考慮不確定量對規(guī)劃的目標函數(shù)以及決策變量的影響,運用魯棒優(yōu)化方法在目標函數(shù)中引入?yún)?shù)IΓ對原模型進行了分析,得到了不確定規(guī)劃模型對應的魯棒替代模型,該模型是一個非凸的非線性規(guī)劃問題——DC規(guī)劃,本文針對該DC規(guī)劃中含有整數(shù)變量的情況,引入懲罰函數(shù)結合分支定界算法及DCA算法的思想,設計了具有全局收斂性的BB-DCA算法。最后設計算例進行了算法實現(xiàn),說明了離散PSO算法雖然對于單次實驗具有較好的收斂性,但是多次實驗看來,仍隨機性較強,穩(wěn)定性不足;而魯棒優(yōu)化方法顯示了良好的有效性和穩(wěn)定性,BB-DCA算法在全局收斂性方面有比較好的表現(xiàn)。并且算例進一步說明,隨著參數(shù)r增大,供應鏈上不確定數(shù)據(jù)的增多,供應鏈的整體利潤也隨著制造商可以參考的信息量的減少而減少。制造商可以根據(jù)自身對利潤和不確定性的偏好程度,選取合適的Γ值,合理進行生產計劃的決策。本文在供應鏈視角下,考慮開放式創(chuàng)新效果的不確定性,對不確定環(huán)境下供應鏈最優(yōu)產量的決策及開放式創(chuàng)新的定量研究具有重要的意義。
[Abstract]:With the arrival of the era of knowledge economy, the traditional "closed" innovation mode, which only depends on the internal resources of enterprises, has been difficult to adapt to the sharp increase in R & D costs, the shortening of product life cycle and the increasing globalization of competition. The open innovation mode that breaks the enterprise boundary arises at the historic moment. Therefore, it is particularly important to study the impact of open innovation on enterprise value and even the value of the whole supply chain. Because of the influence of various factors, it is difficult to determine the effect of any kind of innovation before it is implemented. In view of this, this paper fully considers the uncertainty brought by innovation effect, and discusses the value creation problem of supply chain. Firstly, a nonlinear programming model is established according to the operation of the supply chain, which maximizes the manufacturer's profits and meets the expected profits of both retailers and open innovation agents. At the same time, aiming at the uncertainty of innovation effect in open innovation mode, the uncertain interval parameter UI 鈭，

本文編號：1941283