Special Issue "Industrial Engineering and Management: Current Issues and Trends"

A special issue of Applied Sciences (ISSN 2076-3417).

Deadline for manuscript submissions: 31 March 2020.

Special Issue Editors

Prof. João Carlos de Oliveira Matias
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Guest Editor
GOVCOPP Research Unit; Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, Aveiro, Portugal
Tel. +351 234 370 361 (ext: 23623)
Interests: sustainability; industrial engineering and management; sustainable energy systems; sustainable management systems (quality, maintenance, occupational health and safety); sustainable and lean production; circular economy; technological Innovation
Special Issues and Collections in MDPI journals
Dr. Carina Pimentel
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Guest Editor
GOVCOPP and UNIDEMI Research Units; Department of Economics, Management, Industrial Engineering and Tourism (DEGEIT), University of Aveiro, Aveiro, Portugal
Interests: mainly focused in the supply chain management, operations management and operational research areas; some topics of interest include: lean manufacturing, urban logistics, production planning and control and supply chain strategies development
Special Issues and Collections in MDPI journals
Dr. Anabela Carvalho Alves
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Guest Editor
ALGORITMI R&D Center, Department of Production and Systems, School of Engineering, University of Minho, Guimarães, Portugal
Interests: Design and operation of production systems; Lean Thinking principles application (Lean-Green, Lean-Ergonomics, Lean Education, Lean Project Management, Lean Healthcare, Lean-TRIZ among others); Industrial Engineering and Management education with particular interest in active learning methodologies (PBL, serious games, hands-on).

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 circular economy. In addition, developed countries have an obligation to adopt the philosophy of inclusive development, allowing all countries to have access to essential goods in a more responsible way than ever. Thereby, even if redundantly, we would call it Inclusive Sustainable Development, as development that meets all people’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, with many decades of delay: 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 the classical theories, after the industrial revolution, to the neo-classical theories of today, in which rigid solutions have been dropped and plans, we would say “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 life cycle. 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 focuses on applied research in Industrial Engineering can contribute to meeting 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, modelling 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. 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 papers will be 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 1500 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 (7 papers)

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Research

Open AccessArticle
A Fuzzy-Based Holistic Approach for Supply Chain Risk Assessment and Aggregation Considering Risk Interdependencies
Appl. Sci. 2019, 9(24), 5329; https://doi.org/10.3390/app9245329 - 06 Dec 2019
Abstract
Supply chain risk management requires dealing with uncertainty, interrelations, and subjectivity inherent in the risk assessment process. This paper proposes a holistic approach for risk management that considers the impact on multiple performance objectives, the relation between risk agents, and the risk event [...] Read more.
Supply chain risk management requires dealing with uncertainty, interrelations, and subjectivity inherent in the risk assessment process. This paper proposes a holistic approach for risk management that considers the impact on multiple performance objectives, the relation between risk agents, and the risk event interdependencies. An aggregated risk score is proposed to capture the cascading effects of common risk triggers and quantify the aggregated score by risk agent and objective. The approach also uses fuzzy logic to allow for the treatment of vague and ambiguity data as input parameters to the model from different domains and scales, according to knowledge and criteria nature. The integration of the balanced scorecard tool improves the analysis and prioritization of mitigation strategies in decision-making, both by risk agent and by strategic objective. A case study of a telecommunication company is presented to illustrate the applicability of the proposed approach. Full article
(This article belongs to the Special Issue Industrial Engineering and Management: Current Issues and Trends)
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Open AccessArticle
Supplier Selection and Performance Evaluation for High-Voltage Power Film Capacitors in a Fuzzy Environment
Appl. Sci. 2019, 9(23), 5253; https://doi.org/10.3390/app9235253 - 03 Dec 2019
Abstract
Rapid advances in technology have shortened the upgrade and replacement cycles in industries such as electronics, household appliances, and communication technologies. Within these industries, high-voltage power film capacitors have become indispensable electrical components due to their good electrical performance and high reliability. The [...] Read more.
Rapid advances in technology have shortened the upgrade and replacement cycles in industries such as electronics, household appliances, and communication technologies. Within these industries, high-voltage power film capacitors have become indispensable electrical components due to their good electrical performance and high reliability. The selection and evaluation of suppliers of these capacitors is therefore increasingly important. Suppliers play a crucial role in the electronics industry; the quality of their products determines the degree to which the quality of the final product can be guaranteed. Supplier quality also affects the ability of all the members in a supply chain to control costs. Evaluation by decision-makers is highly significant in the supplier selection process. However, when the opinions of multiple decision-makers are combined, issues such as cognitive differences, fuzzy linguistics, and uncertainty are common. This study presents a supplier performance index SPL and derives the estimates of the index SPL and its statistical properties. The proposed index is not only helpful for the accurate measurement of supplier performance; it can also reduce cognitive differences among evaluators in the decision-making process (that is, the sample variability associated with the Likert scale). Evaluation scores for each criterion for the linguistic labels are converted to triangular fuzzy numbers in order to reduce ambiguity. Subsequently, integrated crisp values are obtained by defuzzification in a fuzzy inference system. A real-world case study of the supplier selection of high-voltage power film capacitors is provided to illustrate the efficacy of the proposed method. Full article
(This article belongs to the Special Issue Industrial Engineering and Management: Current Issues and Trends)
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Open AccessArticle
Modeling and Analysis of Multiple-Supplier Selection Problem with Price Discounts and Routing Decisions
Appl. Sci. 2019, 9(17), 3480; https://doi.org/10.3390/app9173480 - 23 Aug 2019
Abstract
This study investigates a multiple-supplier selection problem in which a firm or buyer aims to find an optimal set of suppliers to satisfy its demand for multiple components for a planning horizon. A distinctive feature of our problem formulation is to integrate decisions [...] Read more.
This study investigates a multiple-supplier selection problem in which a firm or buyer aims to find an optimal set of suppliers to satisfy its demand for multiple components for a planning horizon. A distinctive feature of our problem formulation is to integrate decisions relevant to supplier selection, such as determining the order quantities from each supplier under price discounts and the order collection routes for multiple vehicles. In other words, the traveling purchaser problem is combined with multiple supplier selection. A new mixed-integer programming model is developed to optimally solve this problem. The model considers costs of inventory holding, ordering, transportation and purchasing along with supplier’s supply capacity, vehicle capacity constraints. A numerical example is provided to illustrate how the model is executed. Scenario analysis is performed to assess the model’s results under varying conditions. Full article
(This article belongs to the Special Issue Industrial Engineering and Management: Current Issues and Trends)
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Open AccessArticle
Analysis of the Impact of the “Sea Toll” Program for Seaports: Resilience and Competitiveness
Appl. Sci. 2019, 9(16), 3407; https://doi.org/10.3390/app9163407 - 19 Aug 2019
Abstract
Maritime transportation is one of the most important global activities, especially for archipelagic countries. Inland components that exist within the seaport system, such as port authorities who manage passenger and cruise services even for container unloading and loading areas, have become an important [...] Read more.
Maritime transportation is one of the most important global activities, especially for archipelagic countries. Inland components that exist within the seaport system, such as port authorities who manage passenger and cruise services even for container unloading and loading areas, have become an important aspect to improve performance and determine competitive strategies for seaports. The importance of this interdependence between ports with passenger services and container seaports led us to investigate the impact of the “sea toll” program on seaport resilience and competitiveness. Although the concept of a “sea toll” was initiated by the US government in 2011, there are only a few, if any, studies or clear standards related to the development of “sea toll” systems in archipelago countries. We conducted an empirical study in Indonesia through an online survey of key stakeholders of seaports, including shipping companies, seaport authorities, commodities companies, and government. The data were analyzed using the analytical hierarchy process technique and the results showed that the “sea toll” had an impact on seaport resilience and competitiveness. For seaport resilience, the “sea toll” had an impact on the strategic alliance. For competitiveness, the “sea toll” had an impact on seaport performance, including ship calling frequency and reliability. Full article
(This article belongs to the Special Issue Industrial Engineering and Management: Current Issues and Trends)
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Open AccessArticle
Service Innovation Model of the Automobile Service Industry
Appl. Sci. 2019, 9(12), 2403; https://doi.org/10.3390/app9122403 - 13 Jun 2019
Cited by 1
Abstract
Service innovations in the service industry will improve its ability to compete in maintenance as well as increase the number of customers. Measuring service innovations according to the characteristics of the automobile industry is important. Thus, the aim of this paper is to [...] Read more.
Service innovations in the service industry will improve its ability to compete in maintenance as well as increase the number of customers. Measuring service innovations according to the characteristics of the automobile industry is important. Thus, the aim of this paper is to develop a model to measure service innovation in the automobile service industry. A structural equation model is created based on theory and previous models. Data about the industry’s perception of service innovation are collected from questionnaires in Kaohsiung, Taiwan. Samples were collected from 61 authorized automobile service centers. The results indicate that customer demand, competition, and a knowledge-based network as enabler factors are positively correlated with service innovation. Furthermore, a new service concept, new client interface, new service delivery system, and new technology options are positively related to service innovation. Finally, service innovation has a significant positive effect on a firm’s performance. This study developed an effective service innovation model of the automobile service industry. Full article
(This article belongs to the Special Issue Industrial Engineering and Management: Current Issues and Trends)
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Open AccessArticle
A Study of Applying Fuzzy Theory in Simulation-Based Education
Appl. Sci. 2019, 9(10), 1989; https://doi.org/10.3390/app9101989 - 15 May 2019
Abstract
Among all aviation accidents in Taiwan’s general aviation industry from 1998 to 2016, human factors account for the most at 51.2%, including negligence of external obstacles, poor autopilot flight ability, poor resources management of the crew, inability to follow aviation regulations, lack of [...] Read more.
Among all aviation accidents in Taiwan’s general aviation industry from 1998 to 2016, human factors account for the most at 51.2%, including negligence of external obstacles, poor autopilot flight ability, poor resources management of the crew, inability to follow aviation regulations, lack of understanding of the landing area, not fully comprehending the operational functions and not alert to situations. Those factors have seriously affected flight safety. Resources management training for crew members may thus be the best measure to prevent human errors. Following the Evidence-Based Training (EBT) promoted by ICAO and International Air Transport Association (IATA), this study constructs the assessment indices of EBT for helicopter crews. After collecting the opinions of helicopter flight instructors of military and civil helicopter units, we apply the Fuzzy Delphi Method (FDM) for the preliminary assessment guidelines, use the Fuzzy Analytic Hierarchy Process (FAHP) to construct the hierarchy, and then calculate each criterion and each criterion weight. Full article
(This article belongs to the Special Issue Industrial Engineering and Management: Current Issues and Trends)
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Open AccessArticle
Using Product Network Analysis to Optimize Product-to-Shelf Assignment Problems
Appl. Sci. 2019, 9(8), 1581; https://doi.org/10.3390/app9081581 - 17 Apr 2019
Abstract
A good product-to-shelf assignment strategy not only helps customers easily find desired product items but also increases retailer profit. Recent research has attempted to solve product-to-shelf problems using product association analysis, a powerful data mining tool that can detect significant co-purchase rules underlying [...] Read more.
A good product-to-shelf assignment strategy not only helps customers easily find desired product items but also increases retailer profit. Recent research has attempted to solve product-to-shelf problems using product association analysis, a powerful data mining tool that can detect significant co-purchase rules underlying a large amount of purchase transaction data. While some studies have developed efficient approaches for this task, they largely overlook important factors related to optimizing product-to-shelf assignment, including product characteristics, physical proximity, and category constraints. This paper proposes a three-stage product-to-shelf assignment method to address this shortcoming. The first stage constructs a product relationship network that represents the purchase association among product items. The second stage derives the centrality value of each product item through network analysis. Based on the centrality of each product, an item is classified as an attraction item, an opportunity item, or a trivial item. The third stage considers purchase association, physical relationship, and category constraint when evaluating the location preference of each product. Based on the location preference values, a product assignment algorithm is then developed to optimize locations for opportunity items. A series of analyses and comparisons on the performance of different network types are conducted. It is found that the two network types provide variant managerial meanings for store managers. In addition, the implementation and experimental results show the proposed method is feasible and helpful. Full article
(This article belongs to the Special Issue Industrial Engineering and Management: Current Issues and Trends)
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