【正文】 on superior operational performance. In order to attain the performance levels required, manufacturing panies have to ensure that their Please use the following format when citing this chapter: petitive strategies and their operational performance management actions are consistent [2]. This especially applies to the context of logistic performance: Wiendahl et al. [3] name inconsistencies between logistic performance objectives and operational planning and control parameters as one of the root causes of logistic performance deficits. As logistic performance has bee an important customer purchase criterion [4] and developed into a proven success factor for manufacturing panies [5], the panies have to be equipped with performance management approaches that support them in avoiding these inconsistencies. As a solution, this paper proposes qualitative logistic influence models and an approach for logistic performance diagnosis. It first provides a general overview of the consequences that strategic logistics management decisions have for operational logistic performance management. Second, it introduces two types of qualitative influence models that represent the interdependencies between logistic objectives as well as between logistic performance measures and logistic planning and control parameters. General insights gained from the interpretation and evaluation of these models are summarised. Third, as practical applications of the influence models, the paper presents a diagnostic procedure and software tool for factors affecting the operational logistic performance of manufacturing panies. 2 Linking Strategic and Operational Logistics Management Given the market developments described in section 1, many manufacturing panies adopt petitive strategies based on their logistic performance。s operational performance objectives and the ensuing planning and control actions have to be derived from the primary objectives high service level and low delivery delay or high delivery reliability and short lead times, respectively. The productdelivery strategy also influences a design aspect of manufacturing panies39。 超越目前的發(fā)展?fàn)顩r，影響的定性模型的兩個(gè)重要的改進(jìn)是可能的。常規(guī)識(shí)別物流目標(biāo) 不一致的地方 ，以及物流績(jī)效措施之間的不一致及物流的計(jì)劃和控制行動(dòng)。 圖 4 診斷程序和工具的應(yīng)用包括三個(gè)階段：績(jī)效考核，分析，診斷和治療的定義。相反 ,結(jié)合目標(biāo)的追求從沖突的方向應(yīng)該被避免。顯然，第一對(duì)的決定因素是參數(shù)化的部分的順序發(fā)布，而第二對(duì)依賴于能力控制決定。 計(jì)劃、控制行為和物流性能措施之間的相互關(guān)系 業(yè)務(wù)規(guī)劃和控制行動(dòng)，對(duì)制造企業(yè)的物流績(jī)效的影響建模技術(shù)控制流程和物流績(jī)效管理之間通過一個(gè)比喻。對(duì)于孤立的物流流程，一個(gè)關(guān)于績(jī)效之間的相互依賴的定性描述是有效的。 建模和分析物流之間的相互依賴 一般地分析模型是用來描述和分析物流 的流程 相 之間互依賴關(guān)系的。這些模型通常提供一個(gè)可以選擇 每個(gè)物流過程的設(shè)計(jì)模板的幾個(gè)流程模型。第三，作為影響模型的實(shí)際應(yīng)用，這文章提出了一種診斷程序和軟件工具是影響制造公司操作物流績(jī)效的因素。這個(gè)特別適用于上文的物流績(jī)效。首先是物流活動(dòng)之間，第二是物流績(jī)效方法和物流計(jì)劃與控制參數(shù)。那個(gè)模型見解是整合物流績(jī)效分析程序和使用工具提高物流師理解他們的管理決策和提高物流績(jī)效的閉合管理的效果。這些公司必須配備績(jī)效管理方法去支持他們避免這些矛盾。這兩個(gè)任務(wù)的物流運(yùn)作管理的反響。顯然，只有物流活動(dòng)過程追求明確的物流目標(biāo)，完成物流計(jì)劃和控制行為，所以在制造企業(yè)的物流績(jī)效有影響。為克服這些缺點(diǎn)，定性的影響模型能整體識(shí)別物流相互依賴內(nèi)跨進(jìn)程和邊界的編譯。后者可以進(jìn)一步被分解成過程成本和庫(kù)存成本。 3，適應(yīng)的生產(chǎn)物流過程中的影響模型 [10] 定性的影響模型描繪了連接的物流績(jī)效措施的原因和效果鏈物流的計(jì)劃 和控制行動(dòng)，所謂的決定因素修改的參數(shù)。通過使用這些模型，物流能夠辨認(rèn)所有計(jì)劃和控制行為影響一個(gè)確定的執(zhí)行措施。 為提高物流績(jī)效 ,制造企業(yè)必須實(shí)現(xiàn) 目標(biāo)取向和 規(guī)劃和控制的行動(dòng)在所有 物流流程 中是 一致性的 。 一種交互式的問卷調(diào)查提供了一種結(jié)構(gòu)，用于在物流績(jī)效需要的信息。物流績(jī)效的原因赤字和行動(dòng)的建議所強(qiáng)調(diào)的改善的報(bào)道，可以通過在用戶界面的訪問（參見圖 4 中的頂部）。二，定性模型可作為發(fā)展的額外定量物流模型的基礎(chǔ)。s own planning and control actions are most effective for improving its logistic performance, both in magnitude and responsiveness. ? For maximizing logistic performance, manufacturing panies have to achieve objectiveorientation and consistency of planning and control actions across all logistic processes. This is also essential for achieving very good performance levels at low logistic costs. ?Planning and control actions manipulating the magnitude and timing of inputs and outputs of production resources and stores are most effective in improving their logistic performance. ?Sequencing decisions and dedicated capacity adjustments are the most effective planning and control actions fiom the perspective of single customer orders. On the premise that the logisticians responsible adhere to these guidelines, manufacturing panies can ensure the application of logistic performance management practices that are both consistent and effective. 4 Using Qualitative Models for Logistic Performance Diagnosis In order for manufacturing panies to be able to directly apply the qualitative influence models and the guidelines for logistic performance management, IFA developed a logistic performance diagnosis procedure and tool on