Selection and evaluation of green production strategies: analytic and simulation models

Selection and evaluation of green production strategies: analytic and simulation models
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绿色生产策略的选择和评估:分析和模拟模型

DOI:
10.1016/j.jclepro.2011.12.014
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发表时间:
2012-05
影响因子:
11.1
通讯作者:
Li, Binran
Li, Binran
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Zhou, Ming;Pan, Yanchun;Chen, Zhimin;Yang, Wei;Li, Binran

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绿色生产策略的选择和评价是一个关键而困难的过程,受动态和不确定条件的影响。这个问题是多目标的,涉及到相互依赖的决策。本研究根据识别出的特征,提出了不同的模型,以改进分析,方便决策过程。分析模型有助于确定问题的结构和解决方案。另一方面,开发了仿真模型来捕捉动态和不确定条件下的真实生产流程和决策逻辑。将仿真与搜索程序相结合可以优化解决方案。模型的设计强调健壮的结构,这些结构充分表示典型GP应用程序的流程流和决策逻辑,并捕获实现过程中不同决策因素或成本驱动因素的交互所带来的基本权衡。通过模拟设计并进行了实验,以验证和验证所提出的概念,包括响应面法(RSM)的分析,以说明基于模拟重复的最优解的实验搜索。
Selection and evaluation of green production (GP) strategies is a critical but difficult process affected by dynamic and uncertain conditions. The problem is multi-objective and involves inter-dependent decisions. This research proposed, according to the characteristics identified, different models to improve analysis and facilitate the decision-making process. Analytic models helped identify the structure and solution of the problem. Simulation models, on the other hand, were developed to capture realistic production flow and decision logic under dynamic and uncertain conditions. Interfacing simulation with a search procedure enables the optimization of solutions. The design of models emphasized robust structures that adequately represent the process flow and decision logic of typical GP applications, and capture the essential trade-offs contributed by the interaction of different decision factors or cost drivers during the implementation. Experiments were designed and carried out via simulation to verify and validate proposed concepts, including an analysis of response surface method (RSM) that was performed to illustrate the experimental search for optimal solutions based on simulation replications.
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