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首页> 外文会议>International Conference on Industrial Engineering and Applications >Exploring the implementation of green supply chain with cluster and discriminant analysis: Case study: Furniture industry at Central Java Semarang
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Exploring the implementation of green supply chain with cluster and discriminant analysis: Case study: Furniture industry at Central Java Semarang

机译：通过集群和判别分析探索绿色供应链的实施：案例研究：中爪哇三宝垄的家具行业

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This study has two objectives. First, this study aims to categorize the level of the implementation of Green Supply Chain Management (GSCM) practice among Small and Medium Enterprises (SMEs) of wooden furniture in several clusters. Second, this study aims to find the linear combination of five dimensions of GSCM practices that will discriminate best between prior defined clusters. The study used primary data through questionnaires enclosed with the Likert scale 1-5 at 162 SMEs of wooden furniture located in Surakarta, Jepara, Semarang, and Kudus. The raw data level of implementation of five dimensions of GSCM practice is analyzed using K-Means cluster and discriminant analysis with the aid of the Statistical Package for the Social Sciences (SPSS) software. The result of K-Means cluster analysis indicated that a two-cluster is the optimal number of a group for separating the data of the level of implementation of GSSM practice among SMEs of wooden furniture and the two clusters founded in this research are labeled as early adopter and laggards. Then, the result of the discriminant analysis indicated that as high as 98.77% of the SMEs of wooden furniture was classified correctly. The result of discriminant analysis also revealed the discriminant function as Z= (0.238*IeM) + (0.602*GPU) + (1.161*CCO) + (1.128*ECO) + (1.126*IRE) - 13.124 and the threshold for evaluating a discriminant score of implementation of GSCM practice is -0.276. The implementation of GSCM practices by new SMEs of wooden furniture with discriminant scores above -0.276 would be assigned to the Early Adoption (cluster 1); otherwise, they would be classified as Laggards (cluster 2).
机译：这项研究有两个目标。首先，本研究旨在对木制家具的中小型企业（SME）中的绿色供应链管理（GSCM）实践实施水平进行分类。其次，本研究旨在寻找GSCM实践的五个维度的线性组合，以最佳地区分先前定义的集群。该研究通过调查问卷的原始数据，调查问卷以Surrtarta，Jepara，三宝垄和Kudus的162家中小型木制家具的李克特量表1-5随附。在社会科学统计软件包（SPSS）的帮助下，使用K-Means聚类和判别分析来分析GSCM实践的五个维度的实施的原始数据级别。 K-Means聚类分析的结果表明，两个聚类是用于分离木制家具中小型企业中GSSM实施水平数据的一组最佳数目，而在此研究中建立的两个聚类被标记为早期领养者和落后者。然后，判别分析的结果表明，高达98.77％的木制家具的SME被正确分类。判别分析的结果还显示判别函数为Z =（0.238 * IeM）+（0.602 * GPU）+（1.161 * CCO）+（1.128 * ECO）+（1.126 * IRE）-13.124和评估a的阈值GSCM实施的判别分数为-0.276。新的中小企业将判别分数高于-0.276的木制家具实施GSCM做法将分配给“早期采用”（第1组）;否则，它们将被归类为落后企业（集群2）。

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