A Recent Trend on Additive Manufacturing Sustainability with Supply Chain Management Concept, Multicriteria Decision Making Techniques

Abstract

In the past 3 decades, the emerging technology in manufacturing sector other than conventional manufacturing is additive manufacturing (AM). The additive manufacturing principle was completely born from the research gaps of conventional manufacturing concepts such that the elimination of wastage and produce the component layer upon layer. Every new technology obtains the sustainability that may consider in the supply chain management principle of the raw material to finished products and decision-making techniques are to reach the consumer or customer as properly and periodically but these things are addressed challenges in additive manufacturing. This review paper aims to narrate the common research gaps on additive manufacturing, the structure of the supply chain management on AM, MCDM tools/techniques, AM application in different fields, challenges of selection of additive manufacturing, AM processes, and its application. The traditional method of literature review has been used for this review. The outcome of this review has helped the new researcher’s decision making on the AM various problems as easily and the new researchers may give the experimental solution for explored research gaps.

Influence of in-situ process parameters, post heat treatment effects on microstructure and defects of additively manufactured maraging steel by laser powder bed fusion—A comprehensive review

“…The fundamental purpose of LPBF is to melt and solidify the metal powder particles, resulting in a dense, completely fused component. Typically, process parameters are optimized to ensure full melting and solidification while avoiding excessive vaporization [63]. In LPBF, the vaporization flux is dictated by the air pressure and the laser energy input.…”

“…There are several process parameters including spot size and hatch spacing that play a important role in LPBF product quality [63]. A smaller hatch spacing causes the thin layer to continue to form.…”

A Decision-Making Carbon Reinforced Material Selection Model for Composite Polymers in Pipeline Applications

“…The MCDM contains a number of tools for making decisions, including AHP, FAHP, TOPSIS, and COPRAS, among others [32]. The FAHP, TOPSIS, and DEMATEL algorithms are frequently employed in the AM sector [33]. SCM [34], management science system engineering [35], sustainability [36], planning and product development assessment [37], and strategic management [38] all benefit from the application of MCDM.…”

Challenges and Opportunities in Additive Manufacturing Polymer Technology: A Review Based on Optimization Perspective

“…In this, a pairwise matrix is created based on the opinions of the decision maker, and it is converted into numerical values from 0 to 9 (based on the MCDM tool/technique) [26]. Then, the created pairwise matrix is evaluated by basic steps like criteria weight, consistency ratio, and random 2 Advances in Polymer Technology index [27]. Finally, the alternatives are ranked based on the decision matrix and priority values.…”