A new fuzzy network slacks-based DEA model for evaluating performance of supply chains with reverse logistics

Abstract

Supply chain performance evaluation problems are complex problems with multiple criteria and multi-layered internal linking activities. Data Envelopment Analysis (DEA) has been used to evaluate the relative performance of organizational units called Decision Making Units (DMUs). However, the conventional DEA models cannot take into account the complex nature of supply chains with internal linking activities. Although network DEA models are used to address this drawback, most of them use Farrell radial measures of efficiency and ignore input slacks and/or output slacks and are not suitable for measuring efficiencies when inputs and outputs may change non-proportionally. In response, network DEA models using Slacks-Based Measures (SBMs) of efficiency are used when inputs and outputs are non-radial. Furthermore, crisp input and output data are fundamentally indispensable in a conventional DEA evaluation process. However, the input and output data in real-world problems are often imprecise or ambiguous. Fuzzy DEA models are used to address the impreciseness and ambiguity associated with the input and output data. Finally, conventional supply chain performance evaluation models primarily consider forward logistics dealing with the flow of products from manufacturing to customers. We propose a new Network SBM (NSBM) model in the fuzzy environment. The proposed fuzzy NSBM model considers non-radial measures of efficiency in a unified framework for evaluating performance of supply chain networks with forward and reverse logistics. A case study is presented to demonstrate the applicability of the proposed fuzzy NSBM model and exhibit the efficacy of the procedures in evaluating the performance of a supply chain in the semiconductor industry.

An axiomatic production model for circular directional indirect network technologies with undesirable output production and relational NDEA models

“…For the treatment of undesirable outputs in NDEA models among others see for example (Fukuyama & Weber, 2014) (Cook & Zhu, 2008) (Kao, 2017). For the treatment of desirable and undesirable outputs of retroverse type in networked structures among others see (Kawaguchi, Tone, & Tsutsui, 2014), (Yang, Du, Liang, & Yang, 2014), (Momemi, Tavana, Mirzagoltabar, & Mirhedayatian, 2014), (Kao, 2017). For the construction of network structures for production technologies with more than two sub-processes and related NDEA models in the multipliers version among others see for example ) .…”

Efficiency evaluation of closed-loop supply chains with proportional dual-role measures

“…Nevertheless, there are occasions in the real world wherein the efficiency of network systems should be evaluated while proportional dual-role factors and reverse flows exist. For instance, in evaluating the efficiency of seller-buyer supply chains, products flow and demand forecast flow can be considered as forward and reverse intermediate measures as mentioned in [46] while the profit factor can play the roles of the output of buyer stage and the input of seller stage. To address these situations, the proposed method by Zhu [60] to handle the supply chain performance is extended in this paper to analyze the efficiency of closed-loop supply chains when proportional dual-role factors are present.…”

The models evaluating courier and messenger companies in Poland

“…The obtained results indicated the scope for improvement of the pharmaceutical companies. Momeni et al (2014) took into account that the input and output data in real-world problems are often imprecise or ambiguous and proposed a fuzzy network slack-based DEA model for evaluating supply chain networks with imprecise data and reverse logistics. A case-study was presented to demonstrate the applicability of the proposed model in evaluating the procedures of a supply chain in the semiconductor industry.…”