data envelopment analysis (dea) is a nonparametric approach to estimate relative efficiency of decision making units (dmus). dea and is one of the best quantitative approach and balanced scorecard (bsc) is one of the best qualitative method to measure efficiency of an organization. since simultaneous evaluation of network performance of the quad areas of bsc model is considered as a necessity a...

this study develops a long run optimal pattern for nomadic ranchers of fars province under climate uncertainty by simulating dynamic process of livestock and forage productivity as well as employing dynamic stochastic programming. results indicate that the nomadic representatives do not perform, optimally. despite their attachments to livestock as an asset, and their life dependency on livestoc...

stochastic approach to vehicle routing problem: development and theories abstract in this article, a chance constrained (ccp) formulation of the vehicle routing problem (vrp) is proposed. the reality is that once we convert some special form of probabilistic constraint into their equivalent deterministic form then a nonlinear constraint generates. knowing that reliable computer software for lar...

Decentralized supply chain management is found to be significantly relevant in today’s competitive markets. Production and distribution planning is posed as an important optimization problem in supply chain networks. Here, we propose a multi-period decentralized supply chain network model with uncertainty. The imprecision related to uncertain parameters like demand and price of the final produc...

With globalization and rapid technological-economic development accelerating the market dynamics, consumers' demand is becoming more volatile diverse. In this situation, capacity adjustment as an operational strategic decision plays a major role to ensure supply chain responsiveness while maintaining costs at reasonable norm. This study contributes literature by developing computationally effic...

We present StochasticPrograms.jl, a user-friendly and powerful open-source framework for stochastic programming written in the Julia language. The includes both modeling tools structure-exploiting optimization algorithms. Stochastic models can be efficiently formulated using an expressive syntax, instantiated, inspected, analyzed interactively. scales seamlessly to distributed environments. Sma...