Title: Measurement and analysis of the plastic films green supply chain performance

Authors: Chandrahas D. Golghate; Maruti S. Pawar

Addresses: Department of Mechanical Engineering, Indian Naval Academy, Ezhimala, Dist.: Kannur, Kerala-670310, India; Department of Mechanical Engineering, Brahmadevdada Mane Institute of Technology, Belati, Dist.: Solapur, Maharashtra-413002, India ' Department of Mechanical Engineering, Indian Naval Academy, Ezhimala, Dist.: Kannur, Kerala-670310, India; Department of Mechanical Engineering, Brahmadevdada Mane Institute of Technology, Belati, Dist.: Solapur, Maharashtra-413002, India

Abstract: The uncertainty of data and weighting of variables are prima facie problems to model the green supply chain (GrSC) performance. The paper modelled GrSC performance of plastic film by fuzzy logic analysis-fuzzy analytic network process approach to overcome these hurdles. Fuzzy logic analysis is used to derive fuzzy score of variables using MATLAB. Further, fuzzy analytic network process is used to calculate global weights of variables. Thus, green score of supply chain performance for plastic film is computed as 28.83. Green supply chain performance analysis of plastic films is done for present status and computed as 48.62. The solutions developed by author's viz. adoption of best practices for blown film extrusion process and 'design for environment' tool for segregating MSW at source are analysed. It is found that, if the tools adopted simultaneously, the GrSC performance score resulted in 27.38. This is well below green score making the plastic film industry environment friendly. Approach is suitable for modelling small scale systems GrSC performance.

Keywords: plastic film; GrSC performance; fuzzy logic; fuzzy ANP; analytical network process; FANP; intelligent systems; green supply chains; supply chain management; SCM; supply chain performance; data uncertainty; variables weighting; modelling; blown film extrusion; DfE; design for environment.

DOI: 10.1504/IJIE.2013.057332

International Journal of Intelligent Enterprise, 2013 Vol.2 No.1, pp.21 - 45

Received: 22 Feb 2013
Accepted: 10 May 2013
Published online: 24 Jul 2014 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article