Floating points of a cold supply chain in an environment of the changing economic growth

In global economy nearly one third of all food produced is lost or wasted. It is estimated that majority of these loss which could be managed better is a result of long time delays in global supply chains. The urban population in 2014 accounted for 54% of the total global population and continues to grow, as reported by World health organization. As we face the problem of feeding over 9 billion people by the middle of this century, more than half of them living in the cities, being fare away from the growing agricultural products, the methods and technologies are needed for better postharvest loss prevention as a critical global food security and sustainability issue for growing cities. To meet expected demands, yields will have to more than double, while we have the constant natural resources. Therefore we need better understand supply chains of perishables in global economic environment. In global cold supply chains (CSC) when more intelligent technologies are introduced in transportation modes, like ships, to improve postharvest loss prevention, supply chains have to consider the location of sensors in a chain as floating points of the SC graph. This paper presents the possibility how to measure the impact of these technologies on the Net Present Value of the activities in CSC in case that transportation lines are long and the detection of deterioration by sensors in the transportation node could influence lead time. In the case of longer transportation time also the changes in economy can influence the final gains of a chain. The evaluation of these new technologies is proposed through the Net Present Value approach of extended Material Requirements Planning (MRP) models, where a volatile economic growth is assumed.