Abstract
<p><em>Minimizing the distribution time in supply chain networks is critical. By minimizing the total time of distribution in the network we can reduce the cost as well as decrease the product wastage for goods with fast approaching expiration date such as dairy products. In real-world the traveling time in supply chain network is not deterministic most of the time and uncertainties in the form of randomness are not avoidable. For this reason, for finding the optimal path of distributor vehicles in the distribution network that has the lowest travel time, a probabilistic dynamic optimization model has been used in this study and the results of a numerical example are discussed.</em></p>
Highlights
Introduction and BackgroundThere are some concerns that affect designing a supply chain network such as reducing operation cost while improving quality and speed of service and minimizing the product wastage
Simulation is used in different aspects of transportation from the researches about effect of vehicle dynamic on highway systems see (Abdi & Mehrara, 2015; Molan & Abdi Kordani, 2014; Molan & Kordani, 2014; Stine, Hamblin, Brennan, & Donnell, 2010), to the studies related to the shortest travel time of routes (Abdi Kordani et al, 2014)
Incorporating technologies such as using Radio Frequency Identification technology (RFID) or GPS into the supply chain networks, in food distribution systems has been widely used in recent years
Summary
Vol 2, No 4, 2017 transportation engineering. Some seminal studies provide different approaches for solving the shortest path problem (Bazaraa, Jarvis, & Sherali, 2011; Bellman, 1958). In their studies the randomness is considered with not using the expected value instead of the distribution arc length for each link in the network This method helps to find the shortest path in ground and air transportation as well as supply chain networks and automated guided vehicle equipped manufacturing systems (Fazlollahtabar & Olya, 2013). The objective is to minimize the total span time of distribution vehicle in the supply chain network and find the shortest route in terms of traveling time, from the source node to the sink node This helps to improve the quality, making the SCM more efficient and reducing the cost of delivery process and energy consumption.
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