Abstract:
The global supply chains are changing at a very fast pace with changing conditions and
environment. In the wake of Covid-19 crises, which left prominent impact on supply chains
the element of supply chain cost and response to the market needs have become quite important.
The supply chain performance has gained massive attention due to increasing global costs and
greater need for customer satisfaction. There is an extreme pressure from the supply chain
partners to not only increase the visibility but also optimize the operations among them. This
presents a challenge to increase the overall supply chain productivity. The tea is one of the
biggest imports of Pakistan and second most consumed beverage in the world as well.
However, there have been very limited research to analyze the productivity of tea supply chain.
In fact, next to none research has been carried out on developing supply chain network for
Pakistan tea industry. The extent of research on future of tea production in Pakistan is also very
limited. This study focuses on developing a global tea supply chain network for Pakistani
market to investigate the overall cost, transit time, and network density. The conceptual
framework developed for tea supply chain is solved using neutrosophic approach and results
are analyzed via optimization tool. The cost, transit time are reduced while the resilience of the
network is increased through increase in network density.
