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Fuzzy transportation planning: a goal programming tactic for navigating uncertainty and multi-objective decision making
https://orcid.org/http://orcid.org/0000-0001-7306-1902
In the realm of business, managerial decisions have a significant impact on success in manufacturing and decision-making in manufacturing process dealing with uncertainties and uncontrollable factors resulting from globalization. When things are uncertain, especially in transportation, this paper serves as a helpful guide for manufacturer’s decision, and dealing with uncertain multi-objective transportation problems (MOTPs). Uncertain parameters are transformed into manageable forms using an uncertain normal distribution, providing a foundation for subsequent calculations. This novel approach integrates fuzzy membership functions, goal programming and weighted decision-making for different confidence levels to help the manufacturing industries to address MOTPs in uncertain environments. This approach empowers company to generate compromise solutions aligned with their preferences and illustrated through a practical MOTP solved with LINGO software. This approach effectively removes uncertainty and enhances decision-making by generating compromise solutions aligned with preferences. This paper embraces the robust ranking approach, instilling confidence through its comprehensive approach to decision-making. The approach presented in this paper is superior to existing methods. Its uniqueness lies in the integration of the confidence level along with the weights; this combination sets it apart and amplifies its efficiency.
Fuzzy transportation planning: a goal programming tactic for navigating uncertainty and multi-objective decision making
https://orcid.org/http://orcid.org/0000-0001-7306-1902
In the realm of business, managerial decisions have a significant impact on success in manufacturing and decision-making in manufacturing process dealing with uncertainties and uncontrollable factors resulting from globalization. When things are uncertain, especially in transportation, this paper serves as a helpful guide for manufacturer’s decision, and dealing with uncertain multi-objective transportation problems (MOTPs). Uncertain parameters are transformed into manageable forms using an uncertain normal distribution, providing a foundation for subsequent calculations. This novel approach integrates fuzzy membership functions, goal programming and weighted decision-making for different confidence levels to help the manufacturing industries to address MOTPs in uncertain environments. This approach empowers company to generate compromise solutions aligned with their preferences and illustrated through a practical MOTP solved with LINGO software. This approach effectively removes uncertainty and enhances decision-making by generating compromise solutions aligned with preferences. This paper embraces the robust ranking approach, instilling confidence through its comprehensive approach to decision-making. The approach presented in this paper is superior to existing methods. Its uniqueness lies in the integration of the confidence level along with the weights; this combination sets it apart and amplifies its efficiency.
Fuzzy transportation planning: a goal programming tactic for navigating uncertainty and multi-objective decision making
https://orcid.org/http://orcid.org/0000-0001-7306-1902
In the realm of business, managerial decisions have a significant impact on success in manufacturing and decision-making in manufacturing process dealing with uncertainties and uncontrollable factors resulting from globalization. When things are uncertain, especially in transportation, this paper serves as a helpful guide for manufacturer’s decision, and dealing with uncertain multi-objective transportation problems (MOTPs). Uncertain parameters are transformed into manageable forms using an uncertain normal distribution, providing a foundation for subsequent calculations. This novel approach integrates fuzzy membership functions, goal programming and weighted decision-making for different confidence levels to help the manufacturing industries to address MOTPs in uncertain environments. This approach empowers company to generate compromise solutions aligned with their preferences and illustrated through a practical MOTP solved with LINGO software. This approach effectively removes uncertainty and enhances decision-making by generating compromise solutions aligned with preferences. This paper embraces the robust ranking approach, instilling confidence through its comprehensive approach to decision-making. The approach presented in this paper is superior to existing methods. Its uniqueness lies in the integration of the confidence level along with the weights; this combination sets it apart and amplifies its efficiency.
Fuzzy transportation planning: a goal programming tactic for navigating uncertainty and multi-objective decision making
Int J Interact Des Manuf
Joshi, Vishwas Deep (author) / Agarwal, Priya (author) / Kumar, Ajay (author)
2025-02-01
29 pages
Article (Journal)
Electronic Resource
English
Transportation problem , Multi-objective decision-making , Fuzzy theory , Soft computing , Manufacturing process , Modeling and simulation Information and Computing Sciences , Information Systems , Engineering , Engineering, general , Engineering Design , Mechanical Engineering , Computer-Aided Engineering (CAD, CAE) and Design , Electronics and Microelectronics, Instrumentation , Industrial Design
Non-Linear Multi-Objective Transportation Problem : A Fuzzy Goal Programming Approach
| British Library Conference Proceedings | 2008