Due to the limitation of chemical process technology and management system, traditional treatment mode heavy metal waste liquid pollution has many problems, such as high power consumption in process, wear consuming steel, cost, secondary caused by complex solid residue data detection. Team based on front end deep learning module backend soft measurement model collaborative structures, design im...

Entry barriers are one of the dangerous powers that helps with incumbent firms in terms competitive advantage over new participants and to promote oligopoly market structure. The objective this study is consider entry entrants into Kandahar industrial park recognize some remedial business strategies where it’s application make easy park. To conduct a mixed method research design used. qualitati...

The concept of an eco-industrial park (EIP) that promotes resource sharing, reutilization waste, and exchange materials among industries communities brings significant benefits in terms environmental, social, economic aspects. EIP can be accomplished with the aid blockchain technology to manage data integration complexity problem dimensionality. This work proposes application combination other ...

The aim of this study is the comprehensive planning for integrated management of solid waste at the industrial parks. The share of each industrial group including food, metal, chemical, non-metallic minerals, textile, electrical and electronical, and cellulose industries were 48.2, 14.9, 6.7, 22, 0.9, 0.6, and 6.5 percent, respectively. The results showed that nearly half of total industrial wa...

The theory on the traditional sample average approximation (SAA) scheme for stochastic programming dictates that the number of samples should be polynomial in the number of problem dimensions in order to ensure proper optimization accuracy. In this paper, we study a modification to SAA in the scenario where the global minimizer is either sparse or can be approximated by a sparse solution. By ma...