Value Chain Analysis method of Smart Logistics using fuzzy theory

Abstract

The present study gives a Value Chain Analysis (VCA) method for Smart Logistics (SL), based on fuzzy theory. First, five major challenges in the supply chain is study and then relative demands are transformed into the SL system design using Quality Function Deployment (QFD) methodology and fuzzy group decisionmaking theory. Second, the Multi-objective SL model is given using multipurpose optimal theory to achieve the maximum value under constraints. Third, the evaluation method of SL solution is proposed based on benchmarking analysis and fuzzy Analytic Hierarchy Process (AFfP) method. In the end, the paper point government should give priority to SL development in the logistics industry. The result of this study is useful for SL system design, implement and evaluation. This paper is useful as a decision support for practitioners to develop the SL systems according to the benchmarking results and VCA methodology. © 2012 Asian Network for Scientific Information.