Additive manufacturing has the potential to make a longstanding impact on the manufacturing world and is a core element of the Fourth Industrial Revolution. Additive manufacturing signifies a new disruptive path on how we will produce parts and products. Several studies suggest this technology could foster sustainability into manufacturing systems based on its potential of optimizing material consumption, creating new shapes, customizing designs and shortening production times that, all combined, will greatly transform some of the existing business models. Although it requires reaching a certain level of design maturity to completely insert this technology in an industrial setting, additive manufacturing has the potential to favorably impact the manufacturing sector by reducing costs in production, logistics, inventories, and in the development and industrialization of a new product. The transformation of the industry and the acceleration of the adopting rate of new technologies is driving organizational strategy. Thus, through the lenses of Industry 4.0 and its technological concepts, this paper aims to contribute to the knowledge about the impacts of additive manufacturing technology on sustainable business models. This aim is accomplished through a proposed framework, as well as the models and scales that can be used to determine these impacts. The effects are assessed by taking into account the social, environmental and economic impacts of additive manufacturing on business models and for all these three dimensions a balanced scorecard structure is proposed.

https://www.mdpi.com/2071-1050/12/17/7066/pdf

Impact Assessment of Additive Manufacturing on Sustainable Business Models in Industry 4.0 Context

With the recent evolution of additive manufacturing (AM), accurate cost prediction models are of increasing importance to assist decision-making during product development tasks. Estimating the cost is a challenging task in that it requires a vast amount of manufacturing knowledge that has to be synchronised with many aspects from design to production. As a result, various AM cost models have been developed. This review is performed with the aim of providing an overview of the costing models being developed and utilised associated with the additive manufacturing product development phases. For a better understanding in this field, it is required to become familiar with the various terminologies, perspectives, concepts, techniques, and approaches used in developing these models. It was observed that the contexts and views described during the development of the models were often targeted at specific applications as well as technologies and were classified in many ways. Accordingly, the paper compiles different aspects of the cost estimation classification technique and provides definitions of some of the key terminologies. The main motivation is to provide broad and in-depth reviews of the estimation models developed over the past three decades using a systematic classification approach. From the review, a visualisation of future insights into the AM cost-oriented estimation framework from the perspective of various AM users can be better understood.

Additive manufacturing cost estimation models—a classification review

A cost benefit analysis for industry 4.0 in a job shop environment using a mixed integer linear programming model

Intelligent Control of Industrial Processes

Handbook of Econometrics

The article analyzes the newest trends in the industry and production research. Making insight in the most popular research domains and changes in the industry enabled the authors to formulate a thesis that the manufacturing world strode in the new revolution based on the Additive Manufacturing technologies. It can be stated that a particular gap exists in the field of production engineering that needs to be fulfilled by developing appropriate solutions for the factories integrating AM technologies in their workflow. The paper proves this statement by showing numbers of publications within sub-domains in scope of “individualization of production”. As a basic discouragement on the way to the new production paradigm, it was recognized a deficiency of accurate and versatile cost calculating models. The existing approaches were assessed and assigned to their best application which enabled to indicate a direction of the future research.

Additive Manufacturing Technologies Cost Calculation as a Crucial Factor in Industry 4.0

This article presents an integrated approach towards building a simulation model of the transportation network The proposed method is based on the recommendations of the Blue Book for Sector of Public Transport in cities, agglomerations and regions issued by Jaspers (Joint Assistance to Support Projects in European Regions) It comprises six steps with such elements as econometric modelling, artificial neural networks and mathematical model It is dedicated to developing simulation models for the purpose of picturing present situation and dependencies dominating in the transportation network, easily reflecting effects of potential modifications and providing forecasts for the future The described hybrid method was verified in practice by building the simulation model which is presented in the next article in this series entitled: An Integrated Approach towards Building a Simulation Model Supporting the Management of the Passenger Transportation System Part 2 – Case Study

https://system.logistics-and-transport.eu/index.php/main/article/download/494/451

An Integrated Approach towards Building a Simulation Model Supporting the Management of the Passenger Transportation System. Part 1 - Theoretical basis.

Sławomir Susz

Papers

Additive Manufacturing Technologies Cost Calculation as a Crucial Factor in Industry 4.0

An Integrated Approach towards Building a Simulation Model Supporting the Management of the Passenger Transportation System. Part 1 - Theoretical basis.

Methods of Knowledge Representation and Processing in Control of Intelligent Tutoring Systems

Zarządzanie zasobami produkcyjnymi za pomocą narzędzi symulacyjnych

Optymalizacja procesów produkcyjnych metodami symulacyjnymi