Study on the Performance Evaluation System of Reverse Supply Chain Based on BSC and Triangular Fuzzy Number AHP

Yang, Jianhua; Zang, Lidong; Hao, Zhangang

doi:10.1109/iciecs.2009.5364327

Cited by 7 publications

(3 citation statements)

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“…There are a number of fuzzy AHP methods proposed by various authors (Wang et al, 2008) such as a fuzzy logarithmic least squares method (LLSM) by Laarhoven and Pedrycz (1983), geometric mean method (Buckley, 1985), extent analysis method by Chang (1996), a fuzzy least-squares priority method (Xu, 2000) and a modified fuzzy LLSM (Wang et al, 2006). Some authors applied fuzzy AHP/ANP methods in developing PM systems for RL, such as Yellepeddi (2006), Jianhua et al (2009), Xiong and Li (2010), Bansia et al (2014), Shaik (2014), and Jung (2017).…”

Section: Measure Only What Is Importantmentioning

confidence: 99%

Performance measurement in-fourth party reverse logistics

Öz

Özyörük

2021

MBE

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Purpose This paper aims to develop a performance measurement (PM) system for fourth-party reverse logistics (RL). In this regard, it proposes simultaneous utilization of a procedural approach and hybrid use of existing performance frameworks. Design/methodology/approach The paper first describes fundamentals of RL and PM approaches in literature to build a basis for further discussion. It then carries out a systematic review of the literature on PM in RL to highlight current trends and approaches in this regard. At last, it develops a PM system for fourth-party RL by exploring relevant performance frameworks and by defining a procedure in detail. Findings The paper identifies the ongoing interest in development PM in RL, and the gap and the need for the development of comprehensive PM system for fourth-party RL. It also identifies the best approach is to use existing performance frameworks in literature and a procedural approach together as they complement each other rather than contradicting. Research limitations/implications The paper fills a gap in literature by developing a comprehensive PM framework for the fourth-party RL. The presented procedure is well suited to be used as part of strategic management process in any fourth-party RL organization. It forces users a top-down approach, from strategies to measures, so that a strong linkage is established in the process. When used together with the proposed PM framework, it guarantees a comprehensive and balanced PM system. Practical implications The paper identifies the need for the development of a PM framework as well as a measurement system for the fourth-party RL in the literature. In this regard, it develops a PM framework first, and then a procedure on how to implement it. As a result, users can effectively use them as a part of strategic management process of their organizations. Social implications The fourth-party RL is growing and very promising mode of RL for well-being of society, by offering a strong path to sustainable development in the midst of diminishing resources in the world. The existence of a well measurement system is crucial for the healthy operations and development of fourth-party RL organizations. The paper is offering a strong PM model in this regard. Originality/value The paper fulfills an identified need to study how to develop a PM system for fourth-party RL.

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Section: Measure Only What Is Importantmentioning

confidence: 99%

Performance measurement in-fourth party reverse logistics

Öz

Özyörük

2021

MBE

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“…After-sales service level for customer (Yang et al, 2009;Yang, 2010;Ahi et al, 2016) Level of importance given to customer feedback on the product sold by the company 3.…”

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confidence: 99%

“…Corporate image (Yang et al, 2009;Shaik and Abdul-Kader, 2012;Moshtaghfard et al, 2016) Recognition of the company 24.…”

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confidence: 99%

Investigation of Food Supply Chain Sustainability Performance for Turkey's Food Sector

Yontar

Ersöz

2020

Front. Sustain. Food Syst.

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Increasing product demands, environmental aspects, and overpopulation have an impact on the sustainability of a supply chain, especially in the food sector. In a food supply chain from production to consumption, there are many parameters (resources, packaging, waste management, etc.) that need to be taken into account for sustainability. The aim of this study is to determine the parameters affecting sustainable food supply chain management for the food sector and to measure the performance of the parameters along the supply chain. In this study, several performance indices and sub-criteria are defined by reviewing the indices previously discussed in the literature and accounting for expert opinions on the sustainable food supply chain. Customer satisfaction, resource utilization, product safety, innovation, reliability, company information, packaging, and waste management are defined as the parameters, as these are dimensions that should be improved in sustainable food supply chain management. The performance score for each dimension is calculated via Structural Equation Modeling and the Analytic Hierarchy Process. Customer satisfaction is calculated to have the highest performance, with a score of 86.23% in sustainable food supply chain management performance evaluation, followed by the product safety dimension, at 84.65%, while the performance index score of the reliability dimension is 82.97%, that of the packaging dimension is 78.81%, that of the company information dimension is 75.10%, that of resource utilization is 71.41%, and that of the waste management dimension is 67.83%. The sustainable food supply chain performance evaluation for the food sector in Turkey indicates that it has an overall performance of 79.7%. The results of this study include feedbacks on parameters in the food chain from agriculture to consumers.

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