Title: Optimal replenishment policy for price dependent demand in different financial scenario under fuzzy environment

Authors: Anuj Kumar Sharma; Chandra K. Jaggi; Sunil Tiwari

Addresses: Department of Operational Research, Faculty of Mathematical Sciences, New Academic Block, University of Delhi, Delhi 110007, India ' Department of Operational Research, Faculty of Mathematical Sciences, New Academic Block, University of Delhi, Delhi 110007, India ' Department of Operational Research, Faculty of Mathematical Sciences, New Academic Block, University of Delhi, Delhi 110007, India

Abstract: In literatures of inventory models with permissible delay in payments, authors assumed that retailers have to settle their accounts at the end of credit period and accept only full amount at that time. However, supplier may accept the partial amount at the end of the credit period with unpaid balance settled in due course or he may also accept the full amount at a fix point after the expiry of the credit period instead of accepting the partial payment. Hence in this direction, this paper establishes an inventory model which incorporates the above discussed realistic approach for settling the accounts when supplier offers permissible delay in payments under fuzzy environment. In order to obtain the validity of the model, two hypothetical examples solve by proposed algorithm and a comprehensive sensitivity analyses has been performed to measure the robustness of model.

Keywords: inventory; fuzzy variable; trapezoidal fuzzy number and graded mean integration representation method.

DOI: 10.1504/IJIR.2017.088755

International Journal of Inventory Research, 2017 Vol.4 No.2/3, pp.103 - 131

Received: 08 Mar 2017
Accepted: 27 May 2017

Published online: 17 Dec 2017 *

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