Close-loop or open hierarchical structures in green supply chain management under uncertainty

Tseng, Ming‐Lang; Lin, Ru‐Jen; Lin, Yuan-Hsu; Chen, Rong-Hui; Tan, Kim Hua

doi:10.1016/j.eswa.2013.10.062

Cited by 70 publications

(24 citation statements)

References 53 publications

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“…GSCM is an integral component of an organisation's overall strategy of moving towards an environmentally sustainable business model (Zhu, Sarkis, and Geng 2005). Not surprisingly GSCM is attracting increasing attention from operations and SCM researchers (Srivastava 2007;Verghese and Lewis 2007;Mishra, Kumar, and Chan 2012;Bhattacharya et al 2013;Wang and Chan 2013;Govindan et al 2014;Tseng et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Developing green supply chain management taxonomy-based decision support system

Kumar

Holt

Ghobadian

et al. 2014

International Journal of Production Research

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Disclaimer UWE has obtained warranties from all depositors as to their title in the material deposited and as to their right to deposit such material. UWE makes no representation or warranties of commercial utility, title, or fitness for a particular purpose or any other warranty, express or implied in respect of any material deposited.UWE makes no representation that the use of the materials will not infringe any patent, copyright, trademark or other property or proprietary rights.UWE accepts no liability for any infringement of intellectual property rights in any material deposited but will remove such material from public view pending investigation in the event of an allegation of any such infringement. ABSTRACTThe aim of this paper is to develop a comprehensive taxonomy of green supply chain management (GSCM) practices and develop a structural equation modelling (SEM) driven decision support system following GSCM taxonomy for managers to provide better understanding of the complex relationship between the external and internal factors and GSCM operational practices. Typology and/or taxonomy play a key role in the development of social science theories. The current taxonomies focus on a single or limited component of the supply chain. Furthermore, they have not been tested using different sample compositions and contexts. In this paper, we empirically replicate Murphy, Poist, and Braunschwieg's (1996) study, as replication is a prerequisite for developing robust concepts and theories. More importantly, we go beyond their study by (a) developing broad (containing the key components of supply chain) taxonomy; (b) broadening the sample by including a wider range of sectors and organisational size; and (c) broadening the geographic scope of the previous studies. Moreover, we include both objective measures and subjective attitudinal measurements. We use a robust two-stage cluster analysis to develop our GSCM taxonomy. The main finding validates the taxonomy proposed by Murphy, Poist, and Braunschwieg (1996) and identifies size, attitude, and level of environmental risk and impact as key mediators between internal drivers, external drivers, and GSCM operational practices.

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Section: Introductionmentioning

confidence: 99%

Developing green supply chain management taxonomy-based decision support system

Kumar

Holt

Ghobadian

et al. 2014

International Journal of Production Research

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“…Fuzzy TODIM is a discrete multi-criteria method, which is based on prospect theory (Kahneman and Tversky, 1979). The TODIM method has been successfully used and empirically validated for different applications (Gomes and Lima, 1992;Trotta et al, 1999, Tseng et al, 2014b. This method is based on an empirically verified model of how people make effective decisions when faced with risk.…”

Section: Fuzzy Todimmentioning

confidence: 98%

“…The TODIM evaluation criteria are subjective, qualitative, and formulated using linguistic information (Gomes and Lima, 1992;Tseng et al, 2014b), which makes fuzzy set theory a more desirable evaluation tool for managers. Fuzzy set theory helps to address the vagueness of human thought and expression in decision-making.…”

Section: Fuzzy Todimmentioning

confidence: 99%

Multicriteria analysis of sustainable development indicators in the construction minerals industry in China

2015

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“…The differences in their model were based on selecting a centralized or decentralized control mode to manage their manufacturing and remanufacturing activities. Tseng et al 22 compared the closed-loop and open hierarchical structures with a real case of green supply chain management under uncertain conditions. In order to assess qualitative preferences in green supply chain management under evaluation, they used the ANP method.…”

Section: Review Of Rl/clsc Network Designmentioning

confidence: 99%

A Novel Interactive Fuzzy Programming Approach for Optimization of Allied Closed-Loop Supply Chains

Çalık¹,

Pehlivan²,

Paksoy³

et al. 2018

IJCIS

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In recent years, the relationship between companies and suppliers has changed with the continuous rise in environmental awareness and customer expectations. In order to fulfill customers' needs, the actors in a Supply Chain (SC) network sometimes compete and sometimes cooperate with each other. In SC management, both competitive and collaborative strategies have become important and have required different points of view. In a collaborative environment, companies should strive for common targets with mutual relationship. After managers decided to share their resources, some positive effects have appeared on the companies and suppliers' performance such as profitability, flexibility and efficiency. Consequently, many companies are willing to cooperate with each other in a SC network because of these reasons. On the other hand, Closed-Loop Supply Chain (CLSC) management has been attracting a growing interest because of increased environmental issues, government regulations and customer pressures. Based on this initiative, our paper presents a novel allied CLSC network design model with two different SCs including common suppliers and common collection centers. First, a decentralized multi-level Mixed-Integer Linear Programming (MILP) model that consists of two different levels of Decision Makers (DMs) is developed. The plants of common SCs comprise the upper-level DMs, common suppliers, common collection centers, and the logistics firm comprises the lower-level DMs. A novel Interactive Fuzzy Programming (IFP) approach using Fuzzy Analytic Hierarchy Process (AHP) is proposed to obtain a preferred compromise solution for the developed model. Through use of Fuzzy AHP in the proposed IFP approach, the DMs can identify the importance of the lower-level DMs. In order to validate the developed model and the proposed IFP This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). approach, a numerical example is implemented. According to the obtained results, our proposed IFP method outperforms Sakawa and Nishizaki's 1 and Çalık et al.'s 2 approach with respect to the satisfaction degrees of upperlevel DMs for the developed CLSC model.

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Close-loop or open hierarchical structures in green supply chain management under uncertainty

Cited by 70 publications

References 53 publications

Developing green supply chain management taxonomy-based decision support system

Developing green supply chain management taxonomy-based decision support system

Multicriteria analysis of sustainable development indicators in the construction minerals industry in China

A Novel Interactive Fuzzy Programming Approach for Optimization of Allied Closed-Loop Supply Chains

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