Automatically weighted high-resolution mapping of multi-criteria decision analysis for sustainable manufacturing systems
Automatically weighted high-resolution mapping of multi-criteria decision analysis for sustainable manufacturing systems
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DOI：
10.1016/j.jclepro.2020.120272
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发表时间：
2020-06-01
影响因子：
11.1
通讯作者：
Jolly, Mark
中科院分区：
文献类型：
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作者：
Pagone, Emanuele;Salonitis, Konstantinos;Jolly, Mark
评估可持续制造业的多标准决策分析的一个共同特点是决策者或专家的参与（在不同程度上）（例如，确定每个标准的重要性或“权重”）。这是一个不受欢迎的要求，可能既耗时又复杂，但也可能导致多个DM之间的分歧。典型的MCDA方法的另一个缺点是权重敏感性分析的范围有限，通常在某个时间或任意基础上针对一个标准进行权重敏感性分析，努力显示的“大图片”的决策空间，可以是复杂的，在许多现实世界的情况下。这项工作消除了所有提到的缺点，实现自动加权，通过一个有序的组合排名的标准，客观地设置了四个前，定义权重分布。这样的解决方案不仅为DM提供了一种快速、合理和系统的方法，而且还为所考虑的决策空间提供了更广泛和更准确的见解。此外，熵的标准中的信息可以用来调整的权重，并强调潜在的接近alternatives.The建议的方法之间的差异是来自概括的问题，在金属铸造制造系统的汽车零件的材料选择。特别是，三个典型的铝，镁和锌合金在高压压铸（HPDC）过程中进行了比较，使用确定性技术的顺序偏好的相似性理想的解决方案（TOPSIS）结合18个标准组织在4个主要类别（成本，质量，时间和环境的可持续性）。还提供了一个详细和系统的方法来计算所考虑的标准，它包括生命周期评估（LCA）的考虑。结果表明，虽然在大多数情况下，铝合金是最好的选择，但在决策空间中，镁合金和锌合金的得分更高，而与类别没有简单的相关性。这表明所提出的映射过程对于理解复杂的MCDA分析是多么有价值。该方法没有对金属铸造做出具体假设，可以应用于一般的可持续制造。(C)2020年，任作家。爱思唯尔有限公司出版
A common feature of Multi-Criteria Decision Analysis (MCDA) to evaluate sustainable manufacturing is the participation (to various extents) of Decision Makers (DMs) or experts (e.g. to define the importance, or "weight", of each criterion). This is an undesirable requirement that can be time consuming and complex, but it can also lead to disagreement between multiple DMs. Another drawback of typical MCDA methods is the limited scope of weight sensitivity analyses that are usually performed for one criterion at the time or on an arbitrary basis, struggling to show the "big picture" of the decision making space that can be complex in many real-world cases.This work removes all the mentioned shortcomings implementing automatic weighting through an ordinal combinatorial ranking of criteria objectively set by four pre-defined weight distributions. Such solution provides the DM not only with a fast, rational and systematic method, but also with a broader and more accurate insight into the decision making space considered. Additionally, the entropy of information in the criteria can be used to adjust the weights and emphasise the differences between potentially close alternatives.The proposed methodology is derived generalising a problem of material selection of automotive parts in metal casting manufacturing systems. In particular, three typical aluminium, magnesium and zinc alloys in a High-Pressure Die Casting (HPDC) process are compared using the deterministic Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) combining 18 criteria organised in 4 main categories (cost, quality, time and environmental sustainability). A detailed and systematic approach to calculate the considered criteria is also provided and it includes Life Cycle Assessment (LCA) considerations. Results show that, although in most of the cases the aluminium alloy is the best option, there are a few areas in the decision making space where magnesium and zinc alloys score better without a simple correlation to categories. This shows how valuable the proposed mapping process is to understand the complex MCDA analyses. The methodology does not make specific assumptions about metal casting and can be applied to sustainable manufacturing in general. (C) 2020 The Authors. Published by Elsevier Ltd.