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Axioms
Special Issues
Decision Analysis with Optimization Technique
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Decision Analysis with Optimization Technique

A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Mathematical Analysis".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 10961

Special Issue Editors

Dr. Mingchang Chih

E-Mail Website
Guest Editor
Department of Business Administration, National Chung Hsing University, Taichung City 402, Taiwan
Interests: quantitative decision analysis; decision support and business intelligence; optimization algorithms; application probability and statistics
Special Issues, Collections and Topics in MDPI journals
Dr. Meng-Hua Li

E-Mail Website
Co-Guest Editor
Department of Industrial Management & Institute of Industrial Engineering and Management, National Formosa University, Huwei, Yunlin 63201, Taiwan
Interests: simulation optimization; decision analysis; lean production; smart manufacturing; Industry 3.5

Special Issue Information

Dear Colleagues,

The optimization technique is well suited for dealing with emerging topics in decision making and analysis, which are often characterized by the need to make decisions in the face of uncertainty, conflicting objectives, limited resources, and complex trade-offs. In real-world applications, the formulation of decision-making problems and the utilization of optimization techniques to support decisions are particularly important. This is because the use of optimization techniques is really helpful for improving the quality for decision making and analysis. The journal of Axioms is therefore seeking papers on emerging topics in decision analysis with optimization techniques.

Dr. Mingchang Chih
Dr. Meng-Hua Li
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. Axioms is an international peer-reviewed open access monthly 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

  • Optimization technique
  • Combinational optimization problems
  • Stochastic optimization
  • Optimization heuristic and/or algorithm
  • Decision support system
  • Decision making and analysis
  • Multicriteria decision making

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Published Papers (3 papers)

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Research

24 pages, 1492 KiB  
Article
Multi-Layer Fuzzy Sustainable Decision Approach for Outsourcing Manufacturer Selection in Apparel and Textile Supply Chain
by Chia-Nan Wang, Thuy-Duong Thi Pham and Nhat-Luong Nhieu
Axioms 2021, 10(4), 262; https://doi.org/10.3390/axioms10040262 - 19 Oct 2021
Cited by 18 | Viewed by 2994
Abstract
The apparel and textile industry are known as a key sector in the structure of many economies around the world. In particular, the influence of foreign outsourcing manufacturers on textile supply chains has been recognized for decades. The outsourcing manufacturers are multi-criteria selected [...] Read more.
The apparel and textile industry are known as a key sector in the structure of many economies around the world. In particular, the influence of foreign outsourcing manufacturers on textile supply chains has been recognized for decades. The outsourcing manufacturers are multi-criteria selected and changed by supply chain managers from time to time in search of the most efficient state for the entire supply chain. This is a known concern with the community and there is large interest in studying the apparel and textile outsourcing manufacturer problems. Aiming at reinforcing the selection methods, this study develops a three-layer fuzzy multiple criteria decision-making approach that leverages the strengths from the original methods. In turn through the layers, the hierarchy and weights of criteria and sub-criteria, which includes sustainability factors, are determined by the fuzzy analytic hierarchy process (FAHP) method. Next, the results from the fuzzy technique for order of preference by similarity to ideal solution (FTOPSIS) process determine the outsourcing manufacturer’s performance via expert linguistics judgments. Then, data envelopment analysis (DEA) models are applied for the purpose of evaluating the outsourcing manufacturer’s overall performance along with other quantitative effectiveness. This approach is applied to the problem of selecting the apparel and textile outsourcing manufacturers in Vietnam, one of the places that makes the necessity of this problem grow. The third position in the world apparel and textile export ranking, as well as the trend of shifting labor-intensive production systems to Southeast Asia make the necessity of Vietnam outsourcing manufacturer selection problem grow. The results of this study also classified manufacturers into groups as a support for selection decisions. Analysis of quantitative uncertainties using simulation tools and forecasting techniques can strengthen the solutions in future related studies. Full article
(This article belongs to the Special Issue Decision Analysis with Optimization Technique)
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8 pages, 275 KiB  
Article
Optimal Segmentation over a Generalized Customer Distribution
by Tsung-Yin Ou and Yenming J. Chen
Axioms 2021, 10(2), 98; https://doi.org/10.3390/axioms10020098 - 21 May 2021
Viewed by 1963
Abstract
This paper investigates the impact of consumer preferences on the intensity of competition for companies in a duopoly market. A classical Hotelling’s competition problem will be different if consumers are allowed to distribute non-uniformly. New results in competition intensity are established and conditions [...] Read more.
This paper investigates the impact of consumer preferences on the intensity of competition for companies in a duopoly market. A classical Hotelling’s competition problem will be different if consumers are allowed to distribute non-uniformly. New results in competition intensity are established and conditions for the existence of a subgame perfect Nash equilibrium is identified through a model that considers generic distribution in consumer preferences. A competition strategy is demonstrated to depend on the signs of local change rates of the density function at the endpoints of market segments. Full article
(This article belongs to the Special Issue Decision Analysis with Optimization Technique)
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19 pages, 2674 KiB  
Article
Efficiency Assessment of Seaport Terminal Operators Using DEA Malmquist and Epsilon-Based Measure Models
by Chia-Nan Wang, Ngoc-Ai-Thy Nguyen, Hsin-Pin Fu, Hsien-Pin Hsu and Thanh-Tuan Dang
Axioms 2021, 10(2), 48; https://doi.org/10.3390/axioms10020048 - 31 Mar 2021
Cited by 33 | Viewed by 4852
Abstract
Today, over 80% of global trade is seaborne. In a world of global supply chains and complex industrial development processes, seaports and port operators play an integral role of utmost importance and act as an incentive to the development of the marine economy [...] Read more.
Today, over 80% of global trade is seaborne. In a world of global supply chains and complex industrial development processes, seaports and port operators play an integral role of utmost importance and act as an incentive to the development of the marine economy and particularly, the national economy in general. Most importantly, the supply chain and demand shocks of Covid-19 on container ports and the container shipping industry have intensified competition among terminal operators. Thus, it is imperative that managers evaluate competitiveness by measuring their past and current performance efficiency indexes. In so doing, we present a hybrid data envelopment analysis (DEA) model that combines the DEA Malmquist method and the epsilon-based measure (EBM) for the first time to address the issue of performance evaluation of seaport terminal operators. The applicability of the proposed hybrid approach is illustrated with a case study of the top 14 seaport companies in Vietnam. First, the Malmquist model is used to assess the total productivity growth rates of the companies, and its decomposition into technical efficiency change (catch-up) and technological investment (frontier-shift). Second, the EBM model is used to calculate the efficiency and inefficiency score of each company. Besides indicating the best-performing companies from certain aspects during the research period (2015–2020), the results reflect that the gap of applying the EBM method in the field of the maritime industry was successfully addressed, and together with the Malmquist model, the integrated framework can be an effective and equitable evaluation model for any area. Furthermore, the managerial implication provides a useful guideline for practitioners in the maritime sector in improving their operational efficacy and helps customers in selecting the best seaport companies in the outsourcing strategy. Full article
(This article belongs to the Special Issue Decision Analysis with Optimization Technique)
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