An evidential reasoning approach for production modeling with deteriorating and ameliorating items

Date

2020-03-01

Author

Nodoust, S.
Mirzazadeh, A.
Weber, Gerhard Wilhelm

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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In real situations, it is often too restrictive and difficult for experts to give precise (crisp) assessments for parameters such as inflation. This would become more serious especially for some international exporters or other companies in some pendulous situations. To deal with these situations, this paper develops a dependence-based evidential reasoning approach. This study employs the effects of imperfect production process for deteriorating/ameliorating products, considering inspection in an inflationary inventory system with time dependent demand rate. Different from the previous studies, which considered inflation rate as constant and well-known, stochastic or fuzzy, this model involves inflation with uncertainty of belief structure type. A genetic algorithm is adopted, which deals with interval parameters, and a numerical example is provided to illustrate how the proposed algorithm will be performed and the results indicate that the performance of the proposed algorithm is superior to that of a heuristic approach.

Subject Keywords

Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management, Statistics, Probability and Uncertainty, Modelling and Simulation, Computational Theory and Mathematics, Numerical Analysis

URI

https://hdl.handle.net/11511/52480

Journal

OPERATIONAL RESEARCH

DOI

https://doi.org/10.1007/s12351-017-0313-x

Collections

Graduate School of Applied Mathematics, Article

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Citation Formats

S. Nodoust, A. Mirzazadeh, and G. W. Weber, “An evidential reasoning approach for production modeling with deteriorating and ameliorating items,” OPERATIONAL RESEARCH, pp. 1–19, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52480.