Simulation Based Design of Innovative Quick Response Processes in Cloud Supply Chain Management for “Slow Food” Distribution

Abstract

This paper proposes an innovative business model for making accessible premium quality food worldwide, in respect with its origins and cultural background; the authors present a simulation approach to design the general architecture and the supply chain processes devoted to achieve this result as well as the description of the Supply Chain Architecture. The authors introduced the concept of data consistency for processing reliability of the input over the uncertainty of market demand as well as the influence of stochastic factors. The paper proposes this case study as a good example of using these innovative techniques integrated with simulation.

Comparative Analysis of ANN-ICA and ANN-GWO for Crop Yield Prediction

“…The imperialist competitive algorithm is a well-known optimization algorithm [11] proposed by Atashpai Gargari and Lucas [12]. Atashpai Gargari and Lucas [12] inspired by imperialistic competition develop a method so-called imperialist competitive algorithm [13] in which the countries classified into two groups based on their power: 1) colonies and 2) imperialists. Where one empire includes an imperialist with its colonies.…”