scholarly journals A business strategy selection of green supply chain management via an analytic network process

2012 ◽  
Vol 64 (8) ◽  
pp. 2544-2557 ◽  
Author(s):  
Chiau-Ching Chen ◽  
Hsu-Shih Shih ◽  
Huan-Jyh Shyur ◽  
Kun-Shan Wu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Business Strategy ◽  
Analytic Network Process ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Strategy Selection ◽  
Chain Management ◽  
Network Process ◽  
Selection Of

An ANP-Based Model for an Effective Green Supply Chain Management

2012 ◽  
Vol 3 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Fabio De Felice ◽  
Antonella Petrillo ◽  
Maria Grazia Gnoni
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Environmental Performance ◽  
Analytic Network Process ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Network Process ◽  
Environmental Performance Evaluation

Green Supply Chain Management (GSCM) has becoming an imperative issue for several supply chains (SCs) due to environmental burdens defined by international legislation and to increasing costs of such a resource. The present paper proposes a decision support system aiming to evaluate more effective GSCM strategies. Thus, environmental performance of the whole supply chain, and consequently of each supplier involved, must be compared in a standardized and quantitative way. Thus, the proposed approach integrates index methods for Environmental Performance Evaluation (EPE) in developing a multi-criteria model based on the Analytic Network Process (ANP) technique. The integration overcomes criticalities of the two models. The approach has been validated in a real case study concerning the glass windscreen production supply chain.

scholarly journals Environmental Issues in Supply Chain Management using MCDM Tool - An Example from Mining Industry

2019 ◽  
Vol 8 (4S2) ◽  
pp. 196-201
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Mining Industry ◽  
Environmental Issues ◽  
Analytic Network Process ◽  
Green Supply Chain ◽  
Chain Management ◽  
Network Process ◽  
Main Factors ◽  
Decision Making Tool

Green supply chain management is being concerned for both development and eminent difficulties are observed through supply chain mining activities. In Mining Industry, All the exercises engaged with extraction, generation, circulation add to ecological concerns. The ecological and health problem are still now prevailing due to uncaring in green supply chain activities. In our thesis the environmental problems are categorized as main factors and sub factors by collecting opinion from industrial experts & reputed literature survey. The main factors and sub- factors are rated and evaluated by one of the multi criteria decision making tool (MCDM) i.e Fuzzy Analytic Network Process (ANP). According to AHP, the main factors and sub factors are rated and arranged as more affecting factor to environment based on global value attained. As the result, it was found that the most influencing factors are Impact on land and its sub factors.

Building a Decision Dashboard for Improving Green Supply Chain Management

2018 ◽  
Vol 17 (05) ◽  
pp. 1363-1398 ◽  
Author(s):  
Yen-Ching Chuang ◽  
Shu-Kung Hu ◽  
James J. H. Liou ◽  
Huai-Wei Lo
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Integral Method ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Fuzzy Integral ◽  
Chain Management ◽  
Network Process ◽  
Linear Aggregation ◽  
Green Suppliers

This paper proposes a decision model with a dashboard for systematically selecting and improving the performance of supplier in green supply chain management. The model combines both the decision-making trial and evaluation laboratory-based analytical network process (DANP) with a fuzzy integral method. The DANP method is used to construct the network system and derives the weights. The fuzzy integral method is applied to avoid inconsistent assumptions between the interdependence relation and linear aggregation for obtaining the aspiration-gaps of green suppliers. Last, the visualized dashboard allows for a clear representation of the interdependent-network structure of the attributes to assist companies in the selection of suitable suppliers, as well as assisting the suppliers in improving their performance with higher levels of service. A Taiwanese Electronics Company is demonstrated as an example. The results demonstrate that the dashboard can enable managers to make better decisions from a systematic perspective.

Measuring the Risk Degree of the Green Supply Chain Management System Based Fuzzy Preference Relations

2014 ◽  
Vol 488-489 ◽  
pp. 1322-1325
Author(s):  
Cheng Shih Su ◽  
Ching Tien Shih ◽  
Shu Chen Hsu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Business Strategy ◽  
Brand Management ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Analytic Hierarchy ◽  
Chain Management ◽  
Supply Chain Management System ◽  
Risk Degree

Many organizations are developing their competencies in logistics and green supply chain management (GSCM) in order to maintain competitiveness. When an organization decides to implement GSCM, the administrators always encounter internal and external risk items or difficulties which they know even they dont know. This study therefore proposes an analytic hierarchy model to help the administrators understand the critical risk factors influence the GSCM system initiation, and an aggregative risk degree is indicated which risk grade they are in. Successful influences can help the enterprise under their competitive advantages to appropriate allocation of resources, to further improve the efficiency of resource utilization, and provide enterprises to choose business strategy of the green supply chain management has reached the goal of corporate operating performance and brand management.

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