Sapling supply chain management (SCM) is a major component of competitive strategy, with direct implications on organizational productivity and profitability. Beside, sapling supply chain (SC) delay is a critical factor in SC optimization. Of the several types of delay, this paper focuses on information delay, which depends on the flow of intangible assets. Firstly, determining the minimum delay in a SC is determined by linear programming is described. Then, SC performance is optimized by a genetic algorithm based on minimum of delay. Finally, a dynamic model of the interaction between delay and performance is developed. A case study is presented where this model was simulated and validated at apple sapling supply chain in the ministry of Agriculture (Iran) from 2011 to 2013.
کلید واژگان :Sapling supply chain Management (SCM); Performance; Information delay; Genetic algorithm
ارزش ریالی : 300000 ریال
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