scholarly journals An inventory model for estimation of deterioration with time-dependent demand and storage cost

2021 ◽  
Vol 1940 (1) ◽  
pp. 012012
Author(s):  
J I Ichwanto ◽  
J D Lesmono ◽  
T Limansyah
Keyword(s):  
Inventory Model ◽  
Time Dependent ◽  
Storage Cost ◽  
And Storage ◽  
Dependent Demand

INVENTORY MODEL OF DETERIORATING ITEMS FOR LINEAR HOLDING COST WITH TIME DEPENDENT DEMAND

2015 ◽  
Vol 4 (1) ◽  
pp. 29-36
Author(s):  
N Mishra ◽  
SP Mishra ◽  
Srichandan Mishra ◽  
J Panda ◽  
UK Misra
Keyword(s):  
Inventory Model ◽  
Deteriorating Items ◽  
Time Dependent ◽  
Holding Cost ◽  
Dependent Demand

A fuzzy imperfect production and repair inventory model with time dependent demand, production and repair rates under inflationary conditions

2018 ◽  
Vol 52 (1) ◽  
pp. 217-239 ◽  
Author(s):  
Shalini Jain ◽  
Sunil Tiwari ◽  
Leopoldo Eduardo Cárdenas-Barrón ◽  
Ali Akbar Shaikh ◽  
Shiv Raj Singh
Keyword(s):  
Research Work ◽  
Repair Process ◽  
Inventory Model ◽  
Time Dependent ◽  
Imperfect Production ◽  
Imperfect Items ◽  
Demand Rate ◽  
The Impact ◽  
Varying Demand ◽  
Dependent Demand

This research work derives an integrated inventory model for imperfect production/remanufacturing process with time varying demand, production and repair rates under inflationary environment. This inventory model deals with the joint manufacturing and remanufacturing options. There is a collection process devoted to collect used items with the aim to remanufacture them. Both production and repair runs generate imperfect items. The repair process remanufactures used and imperfect items. Further, it is also considered that the remanufactured item that is classified as good has exactly same quality as that of new one. Demand rate is supposed as time dependent. The production rate is assumed to be demand dependent and therefore it is also time dependent. The repair rate is supposed to be a function of time. All system costs are contemplated in uncertain environment. Therefore, the costs are considered as fuzzy nature. Theoretical results are illustrated thru a numerical example. Finally, a sensitivity analysis is performed in order to know the impact of different parameters on the optimal policy.

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