ABSTRACT
With the rapid development of China's economy, enterprises need to plan their logistics transportation routes reasonably in advance. This will make the transportation service more efficient. For the supplier's transportation service problem, an analysis method of critical path nodes is provided and a multi-supplier collaborative transportation strategy is designed in this article. First, a model for minimising the transportation cost was established, then a path diagram was simulated and the optimal and alternative transportation paths of suppliers based on the k-shortest path algorithm were calculated. In addition, path node availability during COVID-19 is used as a research context in this article. A multi-stage path analysis method was provided by discussing different cases of critical path nodes, which can make a reasonable selection of paths in a timely and effective manner. Finally, simulations of collaborative transportation for suppliers were performed in three scenarios and the results verified the effectiveness of the collaborative transportation strategy. The proposed collaborative transportation strategy of suppliers not only strengthened the synergistic cooperation among suppliers, but also cultivated the potential customer for suppliers in this article. Furthermore, the strategy could improve the flexibility of the supply chain, maximise the overall efficiency and also provide a new solution for the development of logistics and transportation services.
ABSTRACT
The lagging behind intelligent technologies and the COVID-19 pandemic together have impacted the emerging economy particularly the manufacturing sector in sub-Saharan countries. This paper systematically discusses intelligent manufacturing technologies with an aim to map out their importance and industrial applicability and to show their significance to contain COVID-19 pandemic. Intelligent Manufacturing Systems (IMS) is then adapted as a post COVID-19 recovery and growth opportunity to ensemble to production processes of manufacturing industry in the sub-Saharan countries. Proposition of a Triple Helix Collaboration Eco-system that delineate a recursive contribution of Government(s), academia, and industry accompanies the IMS adoption. The intention is to shape the existing industrial challenges through networking in the area of intelligence technologies. While proposing the Eco-system, a post COVID-19 recovery and growth opportunity and intra-Africa scientific collaborations are taken into account.
ABSTRACT
As we all know, the COVID-19 pandemic brought a great challenge to manufacturing industry, especially for some fraditional and unstable manufacturing systems. It reminds us that intelligent manufacturing certainly will play a key role in the future. Dynamic shop scheduling is also an inevitable hot topic in intelligent manufacturing. However, fraditional dynamic scheduling is a kind ofpassive scheduling mode which takes measures to adjust disturbed scheduling processes after the occurrence of dynamic events. It is difficult to ensure the stability of production because of lack of proactivity. To overcome these shortcomings, manufacturing big data and data technologies as the core driving force of intelligent manufacturing will be used to guide production. Thus, a datadriven proactive scheduling approach is proposed to deal with the dynamic events, especially for machine breakdown. In this paper, the overall procedure of the proposed approach is introduced. More specifically, we first use collected manufacturing data to predict the occurrence of machine breakdowns and provide reliable input for dynamic scheduling. Then a proactive scheduling model is constructed for the hybrid flow shop problem, and an intelligent optimization algorithm is used to solve the problem to realize proactive scheduling. Finally, we design comparative experiments with two fraditional rescheduling strategies to verify the effectiveness and stability of the proposed approach.
ABSTRACT
The 2021 International Conference on Advanced Materials and Chemical Engineering (AMCE 2021) was held on December 03-05, 2021 as a virtual conference due to the growing concerns over the coronavirus outbreak (COVID-19), and in order to protect the well-being of our attendees, partners, and staff as our number one priority.AMCE 2021 is to bring together innovative academics and industrial experts in the field of Advanced Materials and Chemical Engineering to a common forum. The primary goal of the conference is to promote research and developmental activities in Advanced Materials and Chemical Engineering and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Mechanical Engineering, Intelligent Manufacturing, and related areas.This scientific event brings together more than 120 national and international researchers in advanced materials and chemical engineering. During the conference, the conference model was divided into three sessions, including oral presentations, keynote speeches, and online Q&A discussion. In the first part, some scholars, whose submissions were selected as the excellent papers, were given about 5-10 minutes to perform their oral presentations one by one. Then in the second part, keynote speakers were each allocated 30-45 minutes to hold their speeches.List of Committee are available in this pdf.
ABSTRACT
Affected by the Covid-19, the 2021 International Symposium on Artificial Intelligence and Intelligent Manufacturing (AIIM 2021) is scheduled to be held online on November 26-28, 2021. The conference will focus on the themes of Artificial Intelligence, Intelligent Manufacturing, Intelligent Control System and Machine Learning. The primary goal of the conference is to promote research and developmental activities in Artificial Intelligence and Intelligent Manufacturing and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in Artificial Intelligence and Intelligent Manufacturing and related areas.Committee, Committee, Conference Agenda, Keynote Speaker, conference paper Virtual Room 1, conference paper Virtual Room 1, conference paper Virtual Room 1, conference paper Virtual Room 1, conference paper Virtual Room 2, conference paper Virtual Room 2, conference paper Virtual Room 2, conference paper Virtual Room 2, conference paper Virtual Room 2 are available in the pdf.List of titles Committee, Conference Agenda, Keynote Speaker, Conference Paper Virtual Room 1, Conference Paper Virtual Room 2 are available in this Pdf.