in this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. a two-stage stochastic linear programming approach is used to maximize the expected profit. decisions such as the production amount, the inventory level of finished and semi-finished product, t...

strategic environmental assessment can be viewed as a process to integrate the concept ofsustainable development into planning. in this context, sea can be regarded as a method that regulates theplanning process to a state of sustainable development. however, to reach that goal it is necessary to achieve full integration of planning and the sea process.therefore this paper considers the integra...

wastewater planning management is a complex problem involving agricultural, rural and industrial interests. in countries facing rapid population growth, identifying methods that can allow them to take good decisions among several competitive alternatives is of utmost importance. the purpose of this paper is to present a methodology for a wastewater planning management system using a multi-c...

Hassan Sepehrmansourie was born in Hamedan, Iran in 1994. He received his B.Sc. in Applied Chemistry (2017) from Bu-Ali Sina University, Iran. He received his M.Sc.in Organic Chemistry (2019) under the supervision of Prof. Mohammad Ali Zolfigol. Also, He was also accepted for a Ph.D. in organic chemistry at the Bu-Ali Sina University in the same year. His research interest is the synthesis, cha...

Planning in large partially observable Markov decision processes (POMDPs) is challenging especially when a long planning horizon is required. A few recent algorithms successfully tackle this case but at the expense of a weaker information-gathering capacity. In this paper, we propose Information Gathering and Reward Exploitation of Subgoals (IGRES), a randomized POMDP planning algorithm that le...