The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
An Optimal Policy for Deteriorating Items With Generalized Deterioration, Trapezoidal-Type Demand, and Shortages
|
|
Author(s): Trailokyanath Singh (C. V. Raman Global University, Odisha, India), Nirakar Niranjan Sethy (Ravenshaw University, India), Ameeya Kumar Nayak (Indian Institute of Technology, Roorkee, India)and Hadibandhu Pattnaik (Ravenshaw University, India)
Copyright: 2021
Volume: 14
Issue: 1
Pages: 32
Source title:
International Journal of Information Systems and Supply Chain Management (IJISSCM)
Editor(s)-in-Chief: John Wang (Montclair State University, USA)
DOI: 10.4018/IJISSCM.2021010102
Purchase
|
Abstract
This paper focuses an optimal policy of an inventory model for deteriorating items with trapezoidal type demand rate and the three-parameter Weibull distribution deterioration rate. The model allows shortages which are completely backlogged in order to achieve better preserving amenity. The authors present some optimal solutions which leads to determine the total inventory cost in which the collective behavior of customers hinges on the waiting time. An easy-to-use optimization technique is included to find the shortage time point and order quantity to minimize the total system cost. Taking into account the above-mentioned assumptions, different kinds of numerical examples are considered to illustrate the theoretical behavior of the framed optimization model. The sensitivity analysis is made for this problem with variation of parameters. The study shows that the optimal solution not only exists but also is unique and is less expensive to operate if the factors of three-phase variation, representing the growth, the steady, and the decline phases of demand with respect to time are considered.
Related Content
|
George Maramba, Hanlie Smuts, Marie Hattingh, Funmi Adebesin, Harry Moongela, Tendani Mawela, Rexwhite Enakrire.
© 2024.
24 pages.
|
|
Wenfeng Niu, Miaomiao Fan.
© 2024.
17 pages.
|
|
Airong Zhang.
© 2024.
20 pages.
|
|
Chunrong Ni, Katarzyna Dohn.
© 2024.
14 pages.
|
|
Ying Wang.
© 2024.
18 pages.
|
|
Yao Wang, Zhijie Kang.
© 2024.
16 pages.
|
|
Linran Sun, Nojun Kwak.
© 2024.
19 pages.
|
|
|