Modeling the hierarchical structure of reverse logistic using driving and dependence power analysis
Reverse logistic is important in a green supply chain by providing customers the returns of used or defected products to the manufacturers as well as to gain the values from returned products. An efficient reverse logistics planning will create and increase the competitive advantage for those operations in market place. This literature aims at making the decisions to select the third party reverse logistics providers efficiently. This research uses the combination of interpretive structural modeling to address the analytical objective. The proposed variables categorize into a hierarchical structure and apply according to the dependence and driving power. The findings originate insights the adoption of reverse logistics practices in auto-parts and electronics and electrical equipment industrial. Managerial and theoretical implications of our findings are discussed.
reverse logistic driving and dependence power analysis interpretive structural modeling
Yuan-Ho Chen Ming Lang Tseng
Graduate School of Business and Management, Lunghwa University, Chinese Taoyuan
国际会议
大连
英文
188-192
2011-07-10（万方平台首次上网日期，不代表论文的发表时间）