Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches

The low-carbon supply chain is one of the predominant topics towards a green economy and it establishes the opportunity to reduce carbon emissions across the product value chain. This paper focuses on recycling and optimized sourcing in the paper industry as a case company. The main objective is to...

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Vydané v:Annals of operations research Ročník 238; číslo 1-2; s. 243 - 276
Hlavní autori: Govindan, Kannan, Sivakumar, R.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.03.2016
Springer
Springer Nature B.V
Predmet:
Allocations
Business and Management
Carbon
Carbon dioxide
Combinatorics
Cost control
Cost engineering
Decision making
Economics
Emissions
Emissions control
Green economy
Greenhouse effect
Greenhouse gases
Linear programming
Management
Manufacturing industry
Mathematical models
Mathematical programming
Methods
Operations management
Operations research
Operations Research/Decision Theory
Paper industry
Paper mills
Pulp & paper industry
Raw materials
Recycling
Studies
Suppliers
Supply chains
Theory of Computation
Vendor relations
Green supplier selection
Order allocation
Group decision-making
Weighted additive model
Multi-objective linear programming
Fuzzy TOPSIS
ISSN:0254-5330, 1572-9338
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Popis
Shrnutí:The low-carbon supply chain is one of the predominant topics towards a green economy and it establishes the opportunity to reduce carbon emissions across the product value chain. This paper focuses on recycling and optimized sourcing in the paper industry as a case company. The main objective is to engage the case company with their supplier networks to diminish the greenhouse gases (GHG) emissions and cost in their production process. It proposes a model to support the selection of the best green supplier and an allocation of order among the potential suppliers. The proposed model contains a two-phase hybrid approach. The first phase presents the rating and selection of potential suppliers by considering economics (cost), operational factors (quality and delivery), and environmental criteria (recycle capability and GHG emission control) using Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) methodology. The second phase presents the order allocation process using multi-objective linear programming in order to minimize cost, material rejection, late delivery, recycle waste and CO 2 emissions in the production process. A case study from a paper manufacturing industry is presented to elucidate the effectiveness of the proposed model. The results demonstrate a 26.2 % reduction of carbon emission by using recycle products in the production process. The firm benefits by forming a systematic methodology for green supplier evaluation and order allocation. Finally, a conclusion and a suggested direction of future research are introduced.
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ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-015-2004-4