| Title | Sustainable Strategic Alliance Partner Selection Using a Neutrosophic-Based Decision-Making Model: A Case Study in Passive Component Manufacturing |
|---|---|
| ID_Doc | 74857 |
| Authors | Lo, HW; Chang, DS; Huang, LT |
| Title | Sustainable Strategic Alliance Partner Selection Using a Neutrosophic-Based Decision-Making Model: A Case Study in Passive Component Manufacturing |
| Year | 2022 |
| Published | |
| Abstract | The electronics manufacturing industry is in an era of collaborative thinking and rapid change, as the rise of strategic alliances (SAs) plays a critical role in supply chain management. Strategic alliance (SA) collaboration is one of the most common strategies in the electronics industry, helping companies to complement each other. Most organizations or alliances operate together to produce more beneficial technologies for mutual benefit based on the sustainability thinking, such as in the areas of 5G, electric vehicles, aerospace, and smart healthcare. As the prompt evolution of information technology and electronics has a deep impact on global business activities, selecting partners based on a sustainability perspective is an urgent task. This paper proposes a complete sustainable SA partner selection framework to select the optimal partners. A neutrosophic-based decision-making model is used in the analysis. The neutrosophic ITARA technique is proposed to generate a set of criteria objective weights, and the neutrosophic TOPSIS technique is applied to determine the performance and priority of sustainable SA partners. This study introduces neutrosophic fuzzy logic to reflect the uncertainty in complex problems. Real-world data from a multinational passive component manufacturing company are used for case demonstration and analysis. The framework and methodology proposed in this study have many contributions to the electronics industry, including the establishment of assessment criteria, the identification of criteria, and the provision of partner selection practices. For academic research, the proposed model can be replicated in other areas of assessment and selection issues. |
| https://downloads.hindawi.com/journals/complexity/2022/9483256.pdf |
Similar Articles
| ID | Score | Article |
|---|---|---|
78005
|
Shevtshenko, E; Mahmood, K; Karaulova, T Enhancing the partner selection process in a Sustainable Partner Network(2019)Ifac Papersonline, 52, 13 | |
| 73904
|
Luo, XC; Wang, ZL; Yang, LG; Lu, L; Hu, S Sustainable supplier selection based on VIKOR with single-valued neutrosophic sets(2023)Plos One, 18, 9 | |
| 74263
|
Badulescu, Y; Hameri, AP; Cheikhrouhou, N Sustainable partner selection for collaborative networked organisations with risk consideration in the context of COVID-19(2022)Journal Of Global Operations And Strategic Sourcing, 15, 2 | |
| 74234
|
Govindan, K; Kaul, A; Darbari, JD; Jha, PC Analysis of supplier evaluation and selection strategies for sustainable collaboration: A combined approach of best-worst method and TOmada de Decisao Interativa Multicriterio(2023)Business Strategy And The Environment, 32, 7 | |
| 77470
|
Pramanik, D; Mondal, SC; Haldar, A Resilient supplier selection to mitigate uncertainty: soft-computing approach(2020)Journal Of Modelling In Management, 15, 4 | |
| 73346
|
Chang, TW; Pai, CJ; Lo, HW; Hu, SK A hybrid decision-making model for sustainable supplier evaluation in electronics manufacturing(2021) | |
| 70972
|
Wu, C; Lin, Y; Barnes, D An integrated decision-making approach for sustainable supplier selection in the chemical industry(2021) | |
| 67207
|
Ambilkar, P; Verma, P; Das, D Sustailient supplier selection using neutrosophic best-worst approach: a case study of additively manufactured trinkets(2024)Benchmarking-An International Journal, 31, 5 |