Carbon footprint reduction: a critical study of rubber production in small and medium scale enterprises in Sri Lanka

Dayaratne, Sampath P.; Gunawardana, Kennedy D.

doi:10.1016/j.jclepro.2014.09.101

Cited by 41 publications

(14 citation statements)

References 28 publications

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“…This was evident in the recent Paris climate deal where more than 200 countries formally signed an agreement to do this (Salawitch et al, 2017). Thus, industries around the world are looking at options to meet the market demand in a more environmentally responsible way (Dayaratne & Gunawardana, 2015;Habib et al, 2020). Amongst sectors, rubber-based industries have witnessed significant worldwide growth in recent times (Chanchaichujit & Saavedra-Rosas, 2018;Jawjit et al, 2010) and that is expected to continue in the future; annual growth rate of around 5% is projected for the next 10 years to reach a market size of USD 45 billion globally by 2027 (Kenneth Research, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Today, rubber can be found in more than 50,000 manufactured products today (Rubberworld, 2018). From an environmental standpoint though, the booming rubber industry is a cause for concern given that rubber production is energy-intensive and which also contributes to several environmental pollutions (Dayaratne & Gunawardana, 2015;Jawjit et al, 2015). Importantly, there have been few efforts to tackle its negative environmental impacts (Jawjit et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Multi-objective decision model for green supply chain management

Chanchaichujit

Balasubramanian

Shukla

et al. 2020

Cogent Business & Management

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In this paper, a multi-objective linear programming model was developed which sought to simultaneously optimize total costs and total GHG emissions for the Thai Rubber supply chain. The model was solved by the ε -constraint method which computed the Pareto optimal solution. Each point in the Pareto set entailed a different design of quantity of rubber product flow between the supply chain entities and transport modes and routes. The result obtained show the trade-offs between costs and GHG emissions. It appears that improvements in cost reductions are only possible by compromising on and allowing for higher GHG emissions. From the Pareto set of solutions, each point is equally effective solution for achieving significant cost reductions without compromising too far on GHG emissions. Scenarios analysis were considered to examine the impact of transportation and distribution restructuring on the trade-off between GHG emissions and costs vis-àvis the baseline model. Overall, the model developed in this research, together with its Pareto optimal solutions analysis, shows that it can be used as an effective tool to design a new and workable GSCM model for the Thai Rubber industry. ABOUT THE AUTHORSJanya Chanchaichujit is an Assistant Professor in Logistics Management in the School of Management at Walailak University in Thailand. Dr. Chanchaichujit has over twenty years industrial, project consultancy and academic work experience. Her research interest focuses on incorporating various aspects of operational research applications, and technologies into the design and operation of sustainable supply chain management.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective decision model for green supply chain management

Chanchaichujit

Balasubramanian

Shukla

et al. 2020

Cogent Business & Management

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show abstract

“…Thus, irrespective of their stage of development, countries are adopting green practices in manufacturing towards the achievement of the SDGs. India and Sri Lanka are among them (Dayaratne & Gunawardana, 2014;Sajan, Shalij, Ramesh, & Biju, 2017;Thanki & Thakkar, 2014).…”

Section: Introductionmentioning

confidence: 99%

Adoption of green practices in manufacturing SMEs: some lessons from Kochi, Kerala, India

et al. 2019

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Adopting green practices in the manufacturing sector has become a requirement for achieving Sustainable Development Goals (SDGs). Manufacturing Small and Medium scale Enterprises (SMEs) play a major role in the industrial sector in Sri Lanka. However their contribution towards reaching a green economy is not well documented. Efforts in adopting green practices, failures or success stories, and the problems and issues associated with green manufacturing in SMEs are yet to be examined in depth in the Sri Lankan context. As a means of acquiring a priori knowledge on the reality, this study aims to explore the green practices, challenges and strategies, and the required institutional support for implementing and sustaining such practices in manufacturing SME sin a geographical location similar to Sri Lanka i.e., Kochi, India. Thus, the objective of this study is to identify important lessons from experiences undergone by manufacturing SMEs in the adoption of green practices in their businesses. This is an exploratory study conducted by collecting qualitative data from interviewing the stakeholders of selected manufacturing SMEs visited for this purpose. The study takes a deductive approach, deriving its analytical framework from the review of literature. A set of green practices, challenges to be anticipated, and the institutional and policy support required in implementing and sustaining green practices in

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“…All the stages in the manufacturing processes of rubber products, it consumes a high quantity of energy, water and other natural resources (Dayaratne and Gunawardana, 2015). Therefore, an environmental baseline survey is necessary to establish policy and action plans to reduce GHG emissions.…”

Section: Introductionmentioning

confidence: 99%

Carbon Footprints of Rubber Products Supply Chains (Fresh Latex to Rubber Glove)

Usubharatana¹,

Phungrassami²

2018

Appl. Ecol. Env. Res.

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Abstract. Carbon footprint emissions related to the natural latex supply chain including farm cultivation, concentrated latex production and rubber glove processing were investigated. Data were collected from 656 rubber plantations covering six provinces in the northeast, east, and south of Thailand and three concentrated latex production plants including one rubber glove processing factory. Different allocation methods were considered to compare the carbon footprint results including mass allocation, economic allocation and allocation by dry rubber content (DRC). Calculation methods were based on life cycle assessment (LCA) and ISO14067. Results indicated that farm size had no impact on the carbon footprint of fresh latex, with the carbon footprint of fertilizer application at planting estimated at more than 90% of the total contribution. For concentrated latex production, almost 70% of the carbon footprint originates from rubber cultivation. Total carbon footprint emission of 200 pieces of rubber glove was about 42 kg CO2-eq, allocated by mass during cultivation and by DRC in concentrated latex processing, with less than 1% from rubber plantations and concentrated latex processing. Allocation methods for the carbon footprint of rubber gloves do not affect the final result but have a great impact on the upstream process.

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Carbon footprint reduction: a critical study of rubber production in small and medium scale enterprises in Sri Lanka

Cited by 41 publications

References 28 publications

Multi-objective decision model for green supply chain management

Multi-objective decision model for green supply chain management

Adoption of green practices in manufacturing SMEs: some lessons from Kochi, Kerala, India

Carbon Footprints of Rubber Products Supply Chains (Fresh Latex to Rubber Glove)

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