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Impact of Industry 4.0 on Supply Chain Management and Optimization

Submission Deadline: 31 August 2021 (closed) View: 192

Guest Editors

Dr. Ansari Saleh Ahmar, Universitas Negeri Makassar, Indonesia.
Dr. Nguyen Van Thanh, Van Lang University, Vietnam.
Dr. Ngo Quang Trung, Van Lang University, Vietnam.

Summary

Industry 4.0 is the Fourth Industrial Revolution and can be used as a framework to address all aspects of product production with minimize production costs, materials' waste, labor. The emerging paradigm of Industry 4.0 poses new systems design production problems at smart manufacturing systems, robust and flexible automation, distributed and reconfigurable production systems, logistics, and supply chain integration. The industrial processes from maintaining machines to managing supply chains, can be optimized and transformed smarter by capturing and analysing data more intelligently.

With evolution of Industry 4.0, how should we operate our production lines and factories, how should we manage and optimize inventory, transportation networks, how should we manage our supply chains?

This special issue is opening for leading researchers, educators, software developers, and practitioners to discuss current issues, share ideas and experiences on the latest development in the field of computer systems science and their applications in both theoretical and practical hardware and software problems in supply chain management and optimization. The main focus of this special session will also be to address the challenges and opportunities related to Industrial IOT, Smart manufacturing, Intelligent robotics, Big data analytics and Machine learning on on Supply Chain Management and Optimization.

Keywords

• Computer systems science and their applications in in supply chain management and optimization
• Modeling, and engineering of designing and manufacturing
• Sustainability in logistics and supply chains
• Novel automation, information, and data architectures on the design of logistics systems and supply chains
• Optimization of Logistics and supply chain management Systems
• Multicriteria Decision Making Model for Logistics and supply chain management
• Big data and IoTs applications in SCM
• Operation research/ Optimization
• Scheduling in manufacturing & service systems

Published Papers

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Open Access

ARTICLE

Research on Ratio of New Energy Vehicles to Charging Piles in China
Zhiqiu Yu, Shuo-Yan Chou
Computer Systems Science and Engineering, Vol.42, No.3, pp. 963-984, 2022, DOI:10.32604/csse.2022.023129
（This article belongs to the Special Issue: Impact of Industry 4.0 on Supply Chain Management and Optimization)
Abstract With the widespread of new energy vehicles, charging piles have also been continuously installed and constructed. In order to make the number of piles meet the needs of the development of new energy vehicles, this study aims to apply the method of system dynamics and combined with the grey prediction theory to determine the parameters as well as to simulate and analyze the ratio of vehicles to chargers. Through scenario analysis, it is predicted that by 2030, this ratio will gradually decrease from 1.79 to 1. In order to achieve this ratio as 1:1, it More >

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ARTICLE

System Dynamics Forecasting on Taiwan Power Supply Chain
Zhiqiu Yu, Shuo-Yan Chou, Phan Nguyen Ky Phuc, Tiffany Hui-Kuang Yu
Computer Systems Science and Engineering, Vol.41, No.3, pp. 1191-1205, 2022, DOI:10.32604/csse.2022.021239
（This article belongs to the Special Issue: Impact of Industry 4.0 on Supply Chain Management and Optimization)
Abstract This research aims to study the sustainability of Taiwan power supply chain based on system dynamics forecasting. The paper tries to investigate electricity shortage effects not only on the industrial side, but also from the standpoint of society. In our model, different forecasting methods such as linear regression, time series analysis, and gray forecasting are also considered to predict the parameters. Further tests such as the structure, dimension, historical fit, and sensitivity of the model are also conducted in this paper. Through analysis forecasting result, we believe that the demand for electricity in Taiwan will More >

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ARTICLE

Decision Making on Fuzzy Soft Simply* Continuous of Fuzzy Soft Multi-Function
M. A. El Safty, Samirah Al Zahrani, Ansari Saleh Ahmar, M. El Sayed
Computer Systems Science and Engineering, Vol.40, No.3, pp. 881-894, 2022, DOI:10.32604/csse.2022.019549
（This article belongs to the Special Issue: Impact of Industry 4.0 on Supply Chain Management and Optimization)
Abstract Real world applications are dealing now with a huge amount of data, especially in the area of high dimensional features. In this article, we depict the simply*upper, the simply*lower continuous, we get several characteristics and other properties with respect to upper and lower simply*-continuous soft multi-functions. We also investigate the relationship between soft-continuous, simply*continuous multifunction. We also implement fuzzy soft multifunction between fuzzy soft topological spaces which is Akdag’s generation of the notion. We are introducing a new class of soft open sets, namely soft simply*open set deduce from soft topology, and we are using More >

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ARTICLE

Heuristic Scheduling of Job Orders in a Build-to-Order Manufacturing System
Chia-Nan Wang, Chien-Chang Chou, Yu-Chi Chung, Nguyen Ky Phuc Phan, Van Thanh Nguyen, Viet Tinh Nguyen
Computer Systems Science and Engineering, Vol.40, No.3, pp. 1059-1072, 2022, DOI:10.32604/csse.2022.018259
（This article belongs to the Special Issue: Impact of Industry 4.0 on Supply Chain Management and Optimization)
Abstract With the continuous development of technology, traditional manual work has been becoming more and more automated. Most large or medium-sized companies have applied Enterprise Resource Planning (ERP) software into their business and production activities. However, since many small firms cannot afford ERP because of its expensive cost, they often still employ manual work for the same tasks this software resolves, especially for scheduling. This paper aims to provide a possible solution for small businesses to try automated scheduling and discover whether it can help much. There are two main ways to make this determination: a… More >

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ARTICLE

Stochastic Programming For Order Allocation And Production Planning
Phan Nguyen Ky Phuc
Computer Systems Science and Engineering, Vol.40, No.1, pp. 75-85, 2022, DOI:10.32604/csse.2022.017793
（This article belongs to the Special Issue: Impact of Industry 4.0 on Supply Chain Management and Optimization)
Abstract Stochastic demand is an important factor that heavily affects production planning. It influences activities such as purchasing, manufacturing, and selling, and quick adaption is required. In production planning, for reasons such as reducing costs and obtaining supplier discounts, many decisions must be made in the initial stage when demand has not been realized. The effects of non-optimal decisions will propagate to later stages, which can lead to losses due to overstocks or out-of-stocks. To find the optimal solutions for the initial and later stage regarding demand realization, this study proposes a stochastic two-stage linear programming… More >

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ARTICLE

Scheduling Flexible Flow Shop in Labeling Companies to Minimize the Makespan
Chia-Nan Wang, Hsien-Pin Hsu, Hsin-Pin Fu, Nguyen Ky Phuc Phan, Van Thanh Nguyen
Computer Systems Science and Engineering, Vol.40, No.1, pp. 17-36, 2022, DOI:10.32604/csse.2022.016992
（This article belongs to the Special Issue: Impact of Industry 4.0 on Supply Chain Management and Optimization)
Abstract In the competitive global marketplace, production scheduling plays a vital role in planning in manufacturing. Scheduling deals directly with the time to output products quickly and with a low production cost. This research examines case study of a Radio-Frequency Identification labeling department at Avery Dennison. The main objective of the company is to have a method that allows for the sequencing and scheduling of a set of jobs so it can be completed on or before the customer’s due date to minimize the number of late orders. This study analyzes the flexible flow shop scheduling More >

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Open Access

ARTICLE

Scheduling Optimization Modelling: A Case Study of a Woven Label Manufacturing Company
Chia-Nan Wang, Zhao-Hong Cheng, Nguyen Ky Phuc Phan, Van Thanh Nguyen
Computer Systems Science and Engineering, Vol.38, No.2, pp. 239-249, 2021, DOI:10.32604/csse.2021.016578
（This article belongs to the Special Issue: Impact of Industry 4.0 on Supply Chain Management and Optimization)
Abstract Production scheduling involves all activities of building production schedules, including coordinating and assigning activities to each person, group of people, or machine and arranging work orders in each workplace. Production scheduling must solve all problems such as minimizing customer wait time, storage costs, and production time; and effectively using the enterprise’s human resources. This paper studies the application of flexible job shop modelling on scheduling a woven labelling process. The labelling process includes several steps which are handled in different work-stations. Each workstation is also comprised of several identical parallel machines. In this study, job… More >

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Impact of Industry 4.0 on Supply Chain Management and Optimization

Guest Editors

Summary

Keywords

Published Papers

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2103

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1323

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2042

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1407

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1111

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1762

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1617

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2428

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1785

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3500

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3330

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2

Cited by

1

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3445

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1533

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2

Cited by

1

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