Integration of AHP-TOPSIS method for prioritizing the solutions of reverse logistics adoption to overcome its barriers under fuzzy environment

Reverse logistics practices are gaining attention due to industrial ecology, enforced legislation and corporate citizenship but presence of barriers make reverse logistics (RL) implementation difficult and hence reduce the success rate. To increase RL adoption, robust and flexible strategies are required to overcome its barriers. This study focuses on identification and ranking the solutions of reverse logistics adoption in electronics industry to overcome its barriers. It aids firms to ponder on high rank solutions and develop strategies to implement them on priority. This paper proposes a methodology based on fuzzy analytical hierarchy process (AHP) and fuzzy technique for order performance by similarity to ideal solution (TOPSIS) to identify and rank the solutions of RL adoption to overcome its barriers. Fuzzy AHP is applied to get weights of the barriers as criteria by pairwise comparison and final ranking of the solutions of RL adoption is obtained through fuzzy TOPSIS. The empirical case of Indian electronics industry is shown to illustrate the use of the proposed method. This proposed method offers a more precise, efficient and effective decision support tool for stepwise implementation of the solutions due to consideration of fuzzy environment. Finally sensitivity analysis is performed to illustrate the robustness of the method.     

基于改进的RS-TOPSIS模型的岩爆倾向性预测

针对目前岩爆倾向性中预测模型权重确定存在不足导致模型精度不高的现状，为更准确地预测岩爆倾向性，提出综合运用粗糙集理论中的代数观和信息观，确定属性最优权重，并修正岩爆倾向性与评价指标之间的关系，建立岩爆等级理想点矩阵。根据岩爆发生条件，选取岩石脆性指数、切应力指标和弹性应变能指数3项指标作为岩爆判别指标，以国内外20组典型岩爆数据为样本，建立改进的粗糙集—理想点法（RS-TOPSIS）岩爆倾向性预测模型，并应用该模型对玲珑金矿等工程实际进行了岩爆倾向性预测。结果表明：改进后样本预测精度相比于改进前有了显著提高，所建立的模型对实际工程的岩爆倾向性预测效果良好，预测结果更准确。     

基于熵权TOPSIS的工程咨询机构BIM技术应用能力评价

构建工程咨询机构BIM技术应用能力评价的指标体系,提出改进的熵权TOPSIS评价模型,以4个典型的工程咨询单位为例,进行BIM技术运用能力评价。研究表明,BIM行业的整体水平已经有了明显的提升,但是区域间的发展还存在一定差距。     

A hybrid multi-criteria decision-making method for cloud adoption: Evidence from the healthcare sector

The purpose of this paper is to investigate the main determinants (criteria as well as sub-criteria) influencing the adoption decision of cloud computing (CC) in the healthcare sector. In the present study, qualitative interviews and the Delphi method are used to find the relevance of identified determinants (criteria and sub-criteria) from literature. Further, an integrated hybrid approach of interpretive structural modeling, analytic hierarchy process, and Technique for Order Preference by Similarity to Ideal Solution (ISM-AHP-TOPSIS) have been employed to identify interrelationships among criteria, rank critical criteria as well as subcriteria, and find the most suitable cloud service provider (CSP) respectively. This study analyses seven criteria and twenty-one sub-criteria that offers a roadmap to decision-makers before CC-adoption (CCA). The analysis of ISM and AHP revealed technology as the most critical and human-environment as the least critical criteria. The vital sub-criteria associated with each criterion are Management Strategic Planning (under Organisation), Government Policy (External Environment), Security (Technology), Financing of IT in Hospital (Economic), Perceived Visibility (Social), and Attitude of Colleagues about Cloud Computing (Human Environment). The results from TOPSIS revealed CSP5 being the most suitable service provider followed by CSP2. Finally, this research makes methodological contribution in terms of an integrated hybrid method, to select a suitable CSP for the healthcare sector and the theoretical contribution in terms of criteria & sub-criteria. This article answers an important question, i.e., whether the benefits of CCA outweighs its barriers, thereby exploring the potential (and future) of CC for the advancement of healthcare provision.     

基于区间犹豫模糊语言集的水资源多目标决策

以鄂北水资源配置工程为对象,研究大型调水工程背景下的多水源多目标优化配置。将鄂北地区水库分为充蓄水库、补偿水库与在线水库等3类,根据各类水库特点对鄂北水资源配置工程进行系统概化,建立以年缺水量最小和调水成本最低为目标函数的多水源多目标优化配置模型。采用权重系数法进行求解得到非劣解集。最后采用基于区间犹豫模糊语言与TOPSIS的多目标决策方法对各方案的缺水量与调水量作出评价并遴选出最优方案。研究结果表明:对鄂北水资源配置工程而言,缺水量与调水量的权重比为7∶3的方案综合评价最优,重视缺水的同时兼顾调水成本;基于区间犹豫模糊语言集与TOPSIS的水资源多目标决策方法经本文实例验证具有较高的稳定性与可行性。     

An integrated three-stage maintenance scheduling model for unrelated parallel machines with aging effect and multi-maintenance activities

We propose an integrated three-stage model for maintenance scheduling of unrelated parallel machines (UPMs) with aging effect and multi-maintenance activities (AEMMAs) using a variety of MODM techniques such as the fuzzy analytic hierarchy process (AHP), the technique for order of preference by similarity to ideal solution (TOPSIS), and goal programming (GP). We use fuzzy AHP in the first stage of the proposed model to account for the inherent ambiguity and vagueness in real-life maintenance scheduling problems. In the second stage, we use TOPSIS to reduce the multi-objective problem into an efficient bi-objective problem. Finally, we use GP to solve the resulting bi-objective problem and develop an optimal maintenance schedule in the third stage of the model. We use a numerical example to demonstrate the applicability of the proposed approach and exhibit the efficacy of the procedures and algorithms.     

青草沙水库水质监测布点的优化

青草沙水库建成后已成为上海市最重要的饮用水水源地,合理的监测垂线设置对准确掌握水库水质状况有着重要作用。运用TOPSIS法和物元分析法两种手段对水库现有的10条监测垂线进行优化论证,两种方法的优化结果相同,均优化成8条监测垂线。并对结果的合理性进行论证,对不同时段的数据进行分析,结果表明优化结果受水质季节性变化影响较小;优化后的8条监测垂线空间分布均匀,相邻垂线之间无明显的水质突变,表明优化后的点位已能较好地反映库区水环境。     

区域装配式建筑发展政策评价研究——基于熵权TOPSIS法

在对政策导向下的装配式建筑发展及其配套政策颁布现状分析的基础上,基于2013年~2017年国家和地方装配式建筑配套政策文本数据,构建包括土地规划政策、财政政策、税收政策、金融政策和行业支持政策在内的装配式建筑政策评价指标体系及评分细则。运用熵权TOPSIS法建立评价模型,评价区域政策力度以及政策工具演变情况,并提出推动我国装配式建筑发展的相关政策建议。     

TOPSIS方法在施工管理中的应用

本文用联系数的方法对多指标决策的TOPSIS方法作了改进,克服了传统多指标决策TOPSIS方法不计方案点与理想点和负理想点非线性关系的不足.从而可以更加准确地确定最佳施工方案.