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Selection of Reverse Logistics Operating Channels Through Integration of Fuzzy AHP and Fuzzy TOPSIS: A Pakistani Case

机译:通过集成模糊AHP和模糊Topsis的整合选择反向物流操作渠道:巴基斯坦案

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In the emerging business environment, the organizations must promote alternative uses of resources that may be cost-effective and eco-friendly by extending products' routine life cycles. In this perspective, an efficient management of product returns through reverse logistics operating channels is a strategic issue. Business organizations including those of automobile manufacturing industries would like to focus on their core competency areas and there is need of making outsourcing decisions of their reverse logistics operating channels. There are five operating channels of reverse logistics; Supplier Operation, Manufacturer Operation, Distributor Operation, Third Party Operation and Joint Operation. The objective of this work is to develop the multi-criteria group decision support system to assist the top management of the company in selection of reverse logistics operating channels through integration of analytical hierarchy process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) under fuzzy environment. An illustrative case is included to validate the proposed method. The key findings and managerial insights of present study also enables the logistics managers to better understand the complex relationships of the main attributes in the decision making environment and subsequently improve the reliability of the decision making process.
机译:在新兴的商业环境中,组织必须促进替代使用可能是具有成本效益和生态友好的资源的替代用途,通过延长产品的常规生命周期。在这种观点中,通过反向物流运营渠道的高效管理产品返回是一个战略问题。包括汽车制造业包括汽车制造业的业务组织将专注于其核心能力领域,并且需要制定其逆向物流运营渠道的外包决定。有五个逆向物流的操作渠道;供应商运行,制造商操作,分销商运行,第三方运营和联合操作。这项工作的目标是开发多标准组决策支持系统,以协助公司的最高管理,通过集成分析层次处理(AHP)和通过相似性与理想解决方案的顺序偏好的技术进行逆向物流操作渠道(Topsis)在模糊环境下。包括说明性案例以验证所提出的方法。目前研究的主要发现和管理见解还使物流经理能够更好地了解决策环境中主要属性的复杂关系,并随后提高决策过程的可靠性。

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