Journal of Steel Structures & Construction

Today, material pickup and delivery is the most important process for inventory planning of manufactures. Human operators usually schedule resources for pickup and delivery that it needs high cost and time and mistake decision cause to tiredness and pressure work. This problem is more acute for the steel industry. Therefore, using of an efficient expert system based on Artificial Intelligence (AI) could eliminate limitations of human planner that it has not applied for inventory planning in steel industry yet. In order to imbed a learnable model from decision patterns of human planners in steel industry, we propose an automated planner for pickup and delivery in raw/semi products of steelmaking based on Relief Bayesian Network (RBN). The proposed approach is applied for Mobarakeh steel company that results show the proposed approach decides as same as human planner for inventory.

This paper proposes the design of a scheme for a long span simple-supported arch bridge and its bracket. The design scheme is based on engineering examples and an actual engineering situation. In order to understand the design of the bracket of the long span simple-supported arch bridge, the feasibility of this design applied to construction is determined. MIDAS-Civil inite element software is used to establish the calculation model of a 144 m simply supported arch bridge bracket. After checking the stress and de lection of the bracket, the bracket system meets the strength and stiffness requirements of the standard design. The design scheme of long-span simple-supported arch bridge and its bracket proposed in this paper can provide references for similar projects.

The economic environment has altered due to globalisation. It establishes new links across national economies and denationalises access to data, technology, expertise, markets, and inancial resources. A national sector or economy now has two distinct ways to compete in global markets: By developing more advanced technology, which may or may not be introduced irst in niche markets and by implementing costcutting strategies that entail increased economies of scale, the elimination of labour and frequently ignoring health, safety and environmental risks. Others have warned about a "race to the bottom" and an ever-increasing desire to trade on environmental (and labour) externalities, while some have claimed that globalisation also raises the need for stronger protective environmental and labour policies globally

In the construction industry, efficiency, speed and cost-effectiveness are crucial considerations. Prefabrication, a construction method that involves manufacturing components off-site and assembling them on-site, has gained significant popularity. When combined with steel as the primary material, prefabrication offers numerous advantages in streamlining construction processes. This article explores the benefits and applications of prefabricated steel structures, highlighting how they revolutionize construction methods. Prefabricated steel structures involve the manufacturing of steel components, such as beams, columns and panels, in a controlled factory environment. This off-site fabrication allows for simultaneous work processes, reducing overall construction time. Workers can fabricate the components while on-site preparation, such as foundation construction, occurs concurrently. This streamlined approach saves time, accelerates project schedules and minimizes disruptions to the construction site.

Designing and building large projects for the oil and gas industry requires extensive cooperation and coordination between the engineering, procurement, and implementation phases. In this research, to achieve a level of performance improvement in the project, we need a process called buildability, so to achieve this, we need to implement this process in large projects such as EPC in the oil and gas industry. In this study, we describe the principles of buildability as well as the conditions that limit the ability to build in the eyes of experts.