scholarly journals Quantitative Analysis of Key Performance Indicators of Green Supply Chain in FMCG Industries Using Non-Linear Fuzzy Method

Mathematics ◽  
2019 ◽  
Vol 7 (11) ◽  
pp. 1020
Author(s):  
Nozari ◽  
Najafi ◽  
Fallah ◽  
Lotfi
Keyword(s):  
Supply Chain ◽  
Performance Indicators ◽  
Distribution Systems ◽  
Key Performance Indicators ◽  
Green Supply Chain ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Global Challenge ◽  
Fast Moving Consumer Goods ◽  
Key Indicators

Nowadays, along with increasing companies’ activities, one of the main environmental protective tools is green supply chain management (GSCM). Since fast-moving consumer goods (FMCG) companies are manufacturing materials that usually require special warehousing as well as different distribution systems, and since companies of food products tend to fall into this area, the safety of their manufactured materials is a vital global challenge. For this reason, organizations in addition to governments have realized the importance of the green supply chain in these industries. Therefore, the present study examines the key performance indicators (KPIs) of the green supply chain in the FMCG industry. There are several performance indicators for the green supply chain. In this study, the KPIs were extracted based on the literatures as well as the opinions of experts through which key indicators in FMCG industries were identified. Using the fuzzy decision -making trial and evaluation laboratory (DEMATEL) method, the relationships and interactions of these key indices were determined. Moreover, a fuzzy nonlinear mathematical modeling was used to investigate the significance of these indicators. It is revealed that the organizational environmental management factor has the highest priority.

scholarly journals A Scor-based Model For Green Sales And Distribution Performance Measurement In The Leather Tanning Industry

2018 ◽  
Vol 5 (01) ◽  
pp. 1 ◽  
Author(s):  
Afifa Sucihana Ismadhia ◽  
Ari Yanuar Ridwan ◽  
Rosad Ma’ali El Hadi
Keyword(s):  
Supply Chain ◽  
Performance Measurement ◽  
Measurement System ◽  
Performance Indicators ◽  
Key Performance Indicators ◽  
Green Supply Chain ◽  
Performance Measurement System ◽  
Supply Chain System ◽  
Leather Tanning ◽  
Tanning Industry

A green supply chain performance measurement system is needed to manage the environmental risks that are often being the major issues of industry. Claim from the government to implement the green supply chain system will certainly be a boost to major industries in Indonesia. As for PT. Elco lndonesia Sejahtera, to create an industry that applies green perspective in the industry, of course PT. EIS requires a model of its own enterprise performance measurement system design. Therefore, this study aims to design a performance measurement system from Green Sales and Distribution in the supply chain of leather tanning industry. The model used as a tool for designing performance measurement systems from the supply chain is Green SCOR model. The conceptual model is designed by involving activities such as stakeholder identification, needs analysis of green stakeholders, green destination identification, and KPI weighting. The supply chain operation reference metric (SCOR) is applied to identify key performance indicators (KPIs). The weight of the KPI is determined using the AHP method. The results of this study are six green objectives and also fifteen Key Performance indicators under it. Green objectives and Key performance can help companies to improve the performance of Green Sales and Distribution in the company.

scholarly journals An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

2019 ◽  
Vol 11 (7) ◽  
pp. 1872 ◽  
Author(s):  
Patchara Phochanikorn ◽  
Chunqiao Tan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Prospect Theory ◽  
Palm Oil ◽  
Supplier Selection ◽  
Large Scale ◽  
Oil Products ◽  
Green Supply Chain ◽  
Fuzzy Decision Making ◽  
Green Supplier Selection

Environmental concerns have globally driven the encouragement of green supply chain management. Accordingly, business and industrial organizations try to seek green supply chain strategies to respond to market pressure regarding corporate social responsibility. Green supplier selection is one of the practical strategies for modern enterprises. With the large-scale development of the palm oil products industry, green supplier selection technique is the key for decision making when dealing with mass information and possible risks of biased data. For instance, the preference of decision makers possibly causes a misleading decision, thus leading to unnecessary waste of resources. Therefore, the contribution of this paper is to apply the integrated multi-criteria decision method using the ‘fuzzy decision-making trial and evaluation laboratory’ (fuzzy DEMATEL) method to consider the cause and effect relationship and then using fuzzy analytic network process (fuzzy ANP) to assign the weight of each relevant criteria. The initial results are useful for strategic procurement planning. In the final step, we adopt the prospect theory to synthesize procurement’s psychological and behavioral factors when selecting green suppliers. The final result refers to the comprehensive prospect value to rank the eligible suppliers into orders. Moreover, the results of both sensitivity analysis and comparison method confirm that the proposed model is adequately realistic and robust.

A Class of Level-2 Fuzzy Decision-Making Model with Expected Objectives and Chance Constraints: Application to Supply Chain Network Design

2015 ◽  
Vol 16 (04) ◽  
pp. 907-938 ◽  
Author(s):  
Xiaoyang Zhou ◽  
Yan Tu ◽  
Jing Han ◽  
Jiuping Xu ◽  
Xionghui Ye
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Network Design ◽  
General Level ◽  
Fuzzy Decision Making ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Fuzzy Decision ◽  
Decision Making Model ◽  
Level 2

In this paper, we concentrate on dealing with a class of decision-making problems with level-2 fuzzy coefficients. We first discuss how to transform a level-2 fuzzy decision-making model with expected objectives and chance constrained into crisp equivalent models, then an interactive fuzzy satisfying method is introduced to obtain the decision makers satisfying solution. In addition, the technique of level-2 simulations is applied to deal with general level-2 fuzzy models which are usually hard to be converted into their crisp equivalents. Furthermore, based on the level-2 fuzzy programming, we focus on the supply chain network design problem where the total transport costs and the customer demands are assumed to be level-2 fuzzy numbers, a hybrid intelligent algorithm based on GA is used to solve the general supply chain design model. Finally, a numerical example and a case study are presented to illustrate the effectiveness of the model and the algorithm.

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