This paper presented a new two-stage green supply chain network, in which includes two innovations. Firstly, it presents a new multi-objective model for a two-stage green supply chain problem that considers the amount of shortage in the network, reworking, and carbon-trading cost produced in the green supply chain. Secondly, because of the complexity of this model, it uses a new multi-objective interior search algorithm (MOISA) to solve the presented model. The obtained results of the proposed algorithm were compared with the results of other multi-objective meta-heuristics, namely MOPSO, SPEA2, and NSGA-II. The outcomes demonstrate that the proposed MOISA gives better Pareto solutions and indicates the superiority of the proposed algorithm in most cases.

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This article examines the factors affecting human resource productivity in government organizations. Due to the endless innovations and changes that we are facing in the world, successful organizations have taken special measures to use all the intellectual and practical capacities of their employees. In today’s world, attention to human resources as the axis of change and the basic element of any organization that operates under the influence of information and communication is more and more felt. Also, the idea of empowering, motivating and involving human resources is considered as one of the strategic and vital programs of managing. In this article, the factors affecting the increase of human resource productivity and the factors that reduce the productivity of human resource in government organizations have been fully studied.