Browsing by Author "Jayalath, MM"

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item: Conference-Full-text
Challenges for circular economy adoption in sustainable food supply chains
(Sri Lanka Society of Transport and Logistics, 2022-08) Pannila, N; Jayalath, MM; Thibbotuwawa, A; Perera, N; Thibbotuwawa, A
This study seeks to identify challenging factors to the adoption of the circular economy in the food supply chain. A total of 17 challenging factors have been identified via a systematic literature review. The challenging factors were grouped into 6 categories: economic, social, institutional, technological and informational, supply chain, and organizational. To prioritize the challenging factors based on literature importance, a literature frequency analysis method was utilized. The possibility of misestimations in challenges ranking that result from frequency analysis is eliminated by employing an article-level research citation metric of Field-Weighted Citation Impact. The findings reveal that the three most critical challenges to adopting circular economy in the food supply chain are cost efficiency consideration, less enforcement of legislation and regulations, and lack of long-term shared vision among stakeholders. The findings will help managers, decision-makers, practitioners, and governments to formulate policies and strategies to effectively implement circular practices in the food industry.
item: Conference-Full-text
Challenging factors to adopt circular economy in sustainable food supply chain
(IEEE, 2022-07) Pannila, N; Jayalath, MM; Thibbotuwawa, A; Perera, HN; Rathnayake, M; Adhikariwatte, V; Hemachandra, K
Even though circular economy has captured global attention recently with its sustainable implications, the adoption takes a much slower approach, particularly in the food supply chain. This study attempts to identify challenging factors that hinder the adoption of circular economy in the food supply chain. A total of 17 challenging factors are identified via a systematic literature review. The challenging factors were grouped into 6 categories: economic, social, institutional, technological and informational, supply chain, and organizational. Literature frequency analysis method combined with an article-level research citation metric of field-weighted citation impact was employed to prioritize the challenging factors based on the literature importance. Thus, the findings reveal that cost efficiency considerations, less enforcement of legislation and regulations, and no long-term shared vision among stakeholders are the three most critical challenging factors to adopt circular economy in the food supply chain. The findings will help managers, decision-makers, practitioners, and governments to formulate policies and strategies to implement circular practices in the food supply chain effectively.
item: Conference-Full-text
Fertilizer policy intervention and agriculture supply chain sustainability: an investigation of impacts of the chemical fertilizer ban on farmers in sri lanka
(Sri Lanka Society of Transport and Logistics, 2023-08-26) Perinparajah, V; Jayalath, MM; Perera, HN; Gunaruwan, TL
There has been an immediate change in fertilizer policy in 2021 in Sri Lanka. Sri Lankan government has limited and banned the import of fertilizers and agrochemicals with the objective of making its agriculture 100% organic. Sri Lanka’s leading agricultural economists and experts have indicated that this fertilizer policy reform will lead to a dramatic drop in agriculture production and has adverse impacts on farm incomes and farming families. This research aims to investigate it through a longitudinal analysis of the data to verify whether the fertilizer policy reforms have a negative impact on agricultural productivity and more importantly on the welfare of farmers. The empirical data has been collected from farmers by interviewing them face to face. Results shows that this fertilizer policy change leads to major yield losses and farmers’ livelihoods have been highly affected. This study could serve as a starting point for future studies that revolve around upcoming fertilizer policy reforms.
item: Conference-Full-text
Fuel efficiency and e-mobility policy development in Sri Lanka
(IEEE, 2022-07) De Silva, MM; Jayalath, MM; Rathnayake, M; Adhikariwatte, V; Hemachandra, K
Transport is one of the sectors targeted to reduce CO 2 emissions and where adaptation measures are needed to reduce the global vulnerability to climatic changes. This research was designed to understand the limitations of conducting an impact analysis of policy options for vehicles’ fuel economy and discuss opportunities for fuel economy baseline and policy development including government foresight and global commitments. This paper proposes a two-stage methodology namely fuel economy baseline and System Dynamics (SD). This amalgamated framework allows policymakers to review and analyse the impacts and relationships of past and current fiscal policies on energy-efficient vehicles. Empirical evidence suggests that government intervention and leadership will be a major requirement for developing a baseline for fuel economy. Public awareness and decision making should be considered in policy and planning because people do not easily link policies with fuel economy. These results would be useful in understanding consumer behaviour and market responses to fiscal policies that will impact the vehicle fuel economy and emissions in Sri Lanka.
item: Conference-Full-text
A profit maximization approach for organic short food supply chains
(IEEE, 2022-07) Jayalath, MM; Perera, HN; Thibbotuwawa, A; Hettiarachchi, BD; Rathnayake, M; Adhikariwatte, V; Hemachandra, K
Demand for organic food is rapidly increasing. This is despite several constraints in the process of producing organic foods. Producers should aim to maximize their profit by catering to the rising demand of this niche market. Manufacturing cost per unit is comparatively higher in the organic chain compared to the conventional chain. Hence, producers must make critical decisions when supplying their products to different markets. A Python-based Linear Programming optimization model tested using Google optimization Tools has been developed to identify the optimum delivery volume that should be supplied to each market which has been identified in this empirical study. The designed model aims to maximize profits by minimizing unsold products and postharvest waste. The developed model can guide producers who operate in the organic perishable supply chain to gain market benefits in short food supply chains. There is a lack of research on sustainability aspects in agricultural coordination and applications in supply network performance. Therefore, this study fills this gap by addressing the issue of postharvest waste in the distribution process of organic vegetables and fruits. The model can be extended into other product variants to validate the model’s applicability under different market scenarios.