Maximizing Cost Efficiencies in Agricultural Supply Chains in Pakistan Using Smart Technologies

Author(s):  
Sayed Muhammed Irfan ◽  
Mehreen Kausar Azam

This chapter introduces the idea of integrating storage facilities in an agriculture supply chain within the established framework of supply chain network design to leverage the underlying powerful optimization technology for maximizing supply chain surplus. Further, storage facilities, particularly for perishable farm products, require to be maintained at certain ambient conditions to retain their quality. Currently, adequate storage facilities do not exist at strategic locations which incur very substantial post-harvest losses. The idea of solar-powered storage systems with a modular configuration has also been proposed. There are two principal reasons for this: (1) Pakistan has enormous solar power potential, and (2) there are rampant load-shedding problems in the country. While tomatoes have been selected as a typical product to develop the entire discourse, the resulting integrated model may be just as conveniently applied to any other agricultural product.

Author(s):  
Nasrin Mohabbati-Kalejahi ◽  
Alexander Vinel

Hazardous materials (hazmat) storage and transportation pose threats to people’s safety and the environment, which creates a need for governments and local authorities to regulate such shipments. This paper proposes a novel mathematical model for what is termed the hazmat closed-loop supply chain network design problem. The model, which can be viewed as a way to combine several directions previously considered in the literature, includes two echelons in the forward direction (production and distribution centers), three echelons in the backward direction (collection, recovery, and disposal centers), and emergency response team positioning. The two objectives of minimizing the strategic, tactical, and operational costs as well as the risk exposure on road networks are considered in this model. Since the forward flow of hazmat is directly related to the reverse flow, and since hazmat accidents can occur at all stages of the lifecycle (storage, shipment, loading, and unloading, etc.), it is argued that such a unified framework is essential. A robust framework is also presented to hedge the optimization model in case of demand and return uncertainty. The performance of both models is evaluated based on a standard dataset from Albany, NY. Considering the trade-offs between cost and risk, the results demonstrate the design of efficient hazmat closed-loop supply chain networks where the risk exposure can be reduced significantly by employing the proposed models.


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