Industrial Engineering and Management: Current Issues and Trends Ⅱ

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Industrial Technologies".

Deadline for manuscript submissions: closed (31 July 2021) | Viewed by 5225

Special Issue Editors


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Guest Editor
GOVCOPP, Department of Economics, Management, Industrial Engineering and Tourism, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: sustainability in general; sustainable energy systems; sustainable industrial engineering and management; sustainable management systems: quality and sustainability; maintenance and sustainability; occupational health and safety and sustainability; sustainable energy; sustainable and lean production; circular economy
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
GOVCOPP, Department of Economics, Management, Industrial Engineering and Tourism, University of Aveiro, 3810-193 Aveiro, Portugal
Interests: lean production; production planning and scheduling; production scheduling in human–robot collaboration; urban logistics; maritime logistics; supply chain management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Society faces a complex set of challenges and problems whose resolution may be short-, medium-, or even long-term, depending on their degree of complexity and urgency. These challenges clearly involve the need for sustainable development and a circular economy. In addition, developed countries have an obligation to adopt a philosophy of inclusive development, allowing all countries to have access to essential goods in a more responsible way than ever. Thus, even if it is a bit redundant to do so, we would call this inclusive sustainable development, as it is a form of development that meets everyone’s needs in the present without compromising the ability of future generations to meet their own needs. This indeed is the great societal challenge of the coming years and even decades, which has already been delayed by many decades: how to respond effectively in an inclusive way to today’s environmental, economic, and social challenges.

Organizations, and particularly enterprises, are the driving force behind societal development, through economic development and environmental care. In this way, enterprises have become increasingly large and complex. Even in management theory, approaches have changed from classical theories, after the industrial revolution, to the neo-classical theories of today, in which rigid solutions have been dropped and plans, what we would call “conditioned freedom”, have been adopted to face mass customization needs, which are very far away from the mass production paradigm. To achieve this, more than ever, new solutions must be created. Consequently, new tools and methods are required to embrace mass customization in a sustainable way.

In this context, the central role of industrial engineering and management (IEM) has arisen, with a holistic, systems-thinking, and ethics-based view of processes and complex systems. The IEM is not only a combination of engineering and management, but a “new” integrated applied science along the entire value chain and product and service lifecycle. It is characterized by its multidisciplinary and transdisciplinary approach, crossing the exact sciences, engineering sciences, information systems, and social sciences, among others. Moreover, it is particularly devoted to the analysis, design, performance improvement, and control of integrated systems of people, materials, equipment, and energy, among others. Its application fields are the whole value chain and lifecycle of products/services, from their development to their end-of-life stages.

This Special Issue, focused on applied research in industrial engineering, aims to contribute to the achievement of enterprises’ challenges. Researchers are encouraged to submit manuscripts in a broad multidisciplinary topic of IEM (e.g., operations management, supply chain management, energy management, quality, operations research, modeling and simulation, information systems, lean and agile production, industry 4.0, and decision support methods, among others) pertinent to the continuous improvement of industrial and service systems.

Prof. Dr. João Carlos de Oliveira Matias
Dr. Carina Pimentel
Dr. Anabela Carvalho Alves
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Clean production
  • Decision support systems
  • Decision theory
  • Design and operation of production systems
  • Energy efficiency Engineering design
  • Facilities and services design
  • Forecasting
  • Human factors and ergonomics
  • Industry 4.0
  • Innovative business models
  • Lean production systems and lean thinking principles applications
  • Logistics
  • Maintenance and reliability
  • Modelling and simulation
  • Occupational health and safety
  • Operational research
  • Product service system
  • Product, process, and system design and reengineering methodologies
  • Resource planning
  • Reverse logistics
  • Services engineering
  • Statistical process control and six sigma
  • Sustainability
  • Symbiosis
  • Technological innovation and innovation management
  • Theory of constraints

Published Papers (2 papers)

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Research

15 pages, 3749 KiB  
Article
Shock Absorption Characteristics and Optimal Design of Corrugated Fiberboard Using Drop Testing
by Chien-Chih Wang, Chin-Hua Chen and Bernard C. Jiang
Appl. Sci. 2021, 11(13), 5815; https://doi.org/10.3390/app11135815 - 23 Jun 2021
Cited by 4 | Viewed by 2622
Abstract
The application of corrugated paper to buffer packaging has increased with the rise of the circular economy. The dynamic buffer curve is the key to designing the buffer packaging structure but requires multiple testing by small- and medium-sized enterprises (SMEs) without resources. In [...] Read more.
The application of corrugated paper to buffer packaging has increased with the rise of the circular economy. The dynamic buffer curve is the key to designing the buffer packaging structure but requires multiple testing by small- and medium-sized enterprises (SMEs) without resources. In this study, we propose drop testing to perform a fractional factorial experiment and establish a regression model of impact strength through experimental data. The analysis results show that static stress, falling height, and buffer material thickness are the key variables of impact strength, and an impact strength prediction model (R2 = 94.1%) was obtained. Model verification using the buffer package design of a personal computer showed that the measured values of impact strength fell within the estimated 95% confidence interval. These results indicate that SMEs can use the proposed analysis procedure to improve the design of corrugated paper using minimal resources. Full article
(This article belongs to the Special Issue Industrial Engineering and Management: Current Issues and Trends Ⅱ)
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11 pages, 550 KiB  
Article
The Fuzzy Process Quality Evaluation Model for the STB Quality Characteristic of Machining
by Win-Jet Luo, Kuen-Suan Chen, Chun-Min Yu and Ting-Hsin Hsu
Appl. Sci. 2020, 10(22), 8272; https://doi.org/10.3390/app10228272 - 21 Nov 2020
Cited by 10 | Viewed by 1606
Abstract
Whether it is important components of a machine tool itself or various important components processed by the machine tool, many vital quality characteristics mostly belong to the smaller-the-better type. When the process quality levels of these quality characteristics do not attain to the [...] Read more.
Whether it is important components of a machine tool itself or various important components processed by the machine tool, many vital quality characteristics mostly belong to the smaller-the-better type. When the process quality levels of these quality characteristics do not attain to the criteria, friction loss may increase during the machine operation, affecting not only the process precision and accuracy but also the lifetime of the product. Therefore, this study applied a smaller-the-better six-sigma quality index simultaneously demonstrating process quality level and process yield. Besides, in coping with statistical process control data, a one-tail confidence-interval-based fuzzy testing method was developed to evaluate process quality. Because this approach is built on the basis of confidence intervals, it can reduce the possibility of misjudgment resulting from sampling errors as well as integrate past experience to enhance the accuracy and precision of the assessment, and then it can grasp the timeliness of improvement. Full article
(This article belongs to the Special Issue Industrial Engineering and Management: Current Issues and Trends Ⅱ)
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