In practice, to attract new buyers and to avoid lasting price competition, a seller frequently offers its buyers a permissible delay in payment (ie, trade credit). However, the policy of granting a permissible delay in payment adds an additional dimension of default risk to the seller. In contrast to previous researchers for finding optimal solutions to buyers, we first propose an economic order quantity model from the seller's prospective to determine its optimal trade credit and order quantity simultaneously. In addition, we incorporate the important and relevant fact that trade credit has a positive impact on demand rate but a negative impact on receiving the buyer's debt obligations. Then the necessary and sufficient conditions to obtain the seller's optimal trade credit and order quantity are derived. An algorithm to determine the seller's optimal trade credit is also proposed. Finally, we use some numerical examples to illustrate the theoretical results and to provide some managerial insights.
机构:
Dum Dum Motijheel Coll, Dept Math UG & PG, 1 Motijheel Ave, Kolkata 700074, W Bengal, IndiaDum Dum Motijheel Coll, Dept Math UG & PG, 1 Motijheel Ave, Kolkata 700074, W Bengal, India
Mukherjee, Avik
Mahata, Gour Chandra
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Dum Dum Motijheel Coll, Dept Math UG & PG, 1 Motijheel Ave, Kolkata 700074, W Bengal, IndiaDum Dum Motijheel Coll, Dept Math UG & PG, 1 Motijheel Ave, Kolkata 700074, W Bengal, India
机构:
North Gujarat Univ, Pramukh Swami Sci & HD Patel Arts Coll, Kadi, India
North Gujarat Univ, Dept Math, Kadi, IndiaGujarat Univ, Dept Math, Ahmadabad, Gujarat, India
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Shanghai Jiao Tong Univ, Sino US Global Logist Inst, Shanghai 200030, Peoples R China
Lulea Univ Technol, S-97187 Lulea, SwedenShanghai Jiao Tong Univ, Sino US Global Logist Inst, Shanghai 200030, Peoples R China
Zhang, Qinhong
Dong, Ming
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Shanghai Jiao Tong Univ, Sch Management, Shanghai 200052, Peoples R ChinaShanghai Jiao Tong Univ, Sino US Global Logist Inst, Shanghai 200030, Peoples R China
Dong, Ming
Luo, Jianwen
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Shanghai Jiao Tong Univ, Sch Management, Shanghai 200052, Peoples R ChinaShanghai Jiao Tong Univ, Sino US Global Logist Inst, Shanghai 200030, Peoples R China
Luo, Jianwen
Segerstedt, Anders
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Lulea Univ Technol, S-97187 Lulea, SwedenShanghai Jiao Tong Univ, Sino US Global Logist Inst, Shanghai 200030, Peoples R China