Intuitionistic Fuzzy Analysis of Supply Chain Performance: A Focus on Solid Waste in the Dar Es Salaam City

Abstract

Solid waste generation in Dar es Salaam City has been increasing due to rapid population growth and economic development. Using a population growth rate of 4.3% and a generation rate of 0.815kg/cap/day, it is estimated that Dar es Salaam could be generating over 12,000 tonnes of solid wastes per day by 2025. The waste materials have the potential to cause adverse environmental impacts including odour nuisance, litter problems, adverse visual impacts, and vermin and pests. A sound solid waste management is a result of the efficient and effective management of the supply chain of solid wastes which is composed of waste generation, storage, transportation and disposal. In this study, we apply Intuitionistic Fuzzy Sets (IFS) to assess the contribution of each element to the Solid Waste Supply Chain (SWSC). The data was collected from a random sample of ninety five (95) respondents consisting of practitioners, researchers and community members. The computational results reveal that, the contribution in descending order to the underperformance of SWSC in Dar es Salaam City are Storage of solid waste, Collection of solid waste, Disposal of solid waste and Transportation of solid waste. This study will be of great help to environmentalists, town planners, researchers and policy makers.