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25. Evaluating Order Allocation Sustainability Using a Novel Framework Involving Z-Number.

Author

Lin, Kuan-Yu, Yeng, Cheng-Lu, and Lin, Yi-Kuei

Subjects
RATIO analysis, SUSTAINABLE development, GAME theory, SUPPLY chains, INFORMATION processing
Abstract

The United Nations' sustainable development goals have highlighted the significance of improving supply chain sustainability and ensuring the proper distribution of orders. This study proposes a novel framework involving Z-number, game theory, an indifference threshold-based attribute ratio analysis (ITARA), and a combined compromise solution method (CoCoSo) to evaluate the sustainability of suppliers and order allocations. To better reflect the decision makers' current choices for the sustainability of assessed suppliers and order allocations and enhance the comprehensiveness of decision-making, the importance parameter of the supplier is obtained through game theory objectively for transforming supplier performance into order allocation performance. The Z-numbers are involved in ITARA (so-called ZITARA) and CoCoSo (so-called ZCoCoSo) to overcome the issue of information uncertainty in the process of expert evaluation. ZITARA and ZCoCoSo are used to determine the objective weights of criteria and to rank the evaluated order allocations, respectively. A case study of a China company is then presented to demonstrate the usefulness of the proposed framework and to inform their decision-making process regarding which suppliers the orders should be assigned to. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Reliability of a Multiple-Demand Multistate Air Transport Network With Flight Delays and Budget Constraints

Author

Nguyen, Thi-Phuong and Lin, Yi-Kuei

Abstract

Air transport plays an important role in supporting the global tourism industry. An unstable or uncertain air transport network leads to passenger dissatisfaction; therefore, a performance assessment is crucial to the management processes of travel agencies. Flights in an air transport network may be delayed by several factors when the travel time and cost significantly affect passenger satisfaction. This study evaluates reliability as the probability of successfully fulfilling multiple demands under the budget and time constraints with the impacts of flight delays, demonstrating the ability to satisfy passengers. Employing the minimal path concept, this study first models a multiple-demand multistate air transport network considering flight delays (MSAD) then identifies feasible minimal paths under the budget and time constraints and their maximum time-delay vectors. Reliability then is derived from all flow vectors that enable transport as required and their corresponding time-delay vectors. This study aims at an efficient algorithm that provides managers of travel agencies with insight into their MSAD and a basis for managerial decisions.

Published
2024
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