Title of article :
Credit financing for deteriorating imperfect quality items with allowable shortages
Author/Authors :
Khanna، Aditi نويسنده Department of Operational Research, Faculty of Mathematical Sciences, University of Delhi, Delhi 110007, India , , Mittal، Mandeep نويسنده Amity School of Engineering and Technology, 580-Delhi Palam, Vihar Road, Bijwasan, New Delhi-110061, India , , Gautam، Prerna نويسنده Department of Operational Research, Faculty of Mathematical Sciences, New Academic Block, University of Delhi, Delhi-110007, India , , Jaggi، Chandra K. نويسنده Department of Operational Research, Faculty of Mathematical Sciences, University of Delhi, Delhi 110007, India ,
Issue Information :
فصلنامه با شماره پیاپی 15 سال 2016
Pages :
16
From page :
45
To page :
60
Abstract :
The outset of new technologies, systems and applications in manufacturing sector has no doubt lighten up our workload, yet the chance causes of variation in production system cannot be eliminated completely. Every produced/ordered lot may have some fraction of defectives which may vary from process to process. In addition the situation is more susceptible when the items are deteriorating in nature. However, the defective items can be secluded from the good quality lot through a careful inspection process. Thus, a screening process is obligatory in today’s technology driven industry which has the customer satisfaction as its only motto. Moreover, in order to survive in the current global markets, credit financing has been proven a very influential promotional tool to attract new customers and a good inducement policy for the retailers. Keeping this scenario in mind, the present paper investigates an inventory model for a retailer dealing with imperfect quality deteriorating items under permissible delay in payments. Shortages are allowed and fully backlogged. This model jointly optimizes the order quantity and shortages by maximizing the expected total profit. A mathematical model is developed to depict this scenario. Results have been validated with the help of numerical example. Comprehensive sensitivity analysis has also been presented.
Journal title :
Decision Science Letters
Serial Year :
2016
Journal title :
Decision Science Letters
Record number :
2260158
Link To Document :
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