A newsvendor inventory model with an emergency order to supply a non-increasing fraction of shortage

被引:5
|
作者
Pando, Valentin [1 ]
San-Jose, Luis A. [2 ]
Garcia-Laguna, Juan [1 ]
Sicilia, Joaquin [3 ]
机构
[1] Univ Valladolid, Dept Estadist & Invest Operat, E-47011 Valladolid, Spain
[2] Univ Valladolid, Dept Matemat Aplicada, IMUVA, Escuela Tecn Super Ingn Informat, E-47011 Valladolid, Spain
[3] Univ La Laguna, Dept Estadist Invest Operat & Comp, Tenerife, Spain
关键词
Supply chain; Newsvendor model; Maximum profit; Customer impatience; DEPENDENT SELLING RATE; TIME-VARYING DEMAND; LOST SALES; NEWSBOY PROBLEM; EOQ MODEL; OPTIMAL PRICE; BACKORDERS; SIZE; MIXTURE; SYSTEM;
D O I
10.1016/j.amc.2014.03.122
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
This paper generalizes the newsvendor inventory model when the possibility of an emergency order to satisfy the excess of demand exists. In this situation, we assume that there are impatient customers who do not wait for the emergency order and other customers who are willing to wait to satisfy their demand. We consider that the fraction of shortage that is satisfied with delay through the emergency order is described by a function, which is non-increasing with respect to the amount of shortage. Our objective is to determine the optimal order quantity, which maximizes the relevant expected total profit for the period, when the demand follows a uniform probability distribution. As is well known, this distribution is usually used to denote the results of a demand whose values are unknown, except for the fact that such results belong to an interval. The uniqueness and existence of optimal decisions are proved, and a procedure to determine the optimal policy and the maximum expected profit is developed. Illustrative examples, which help us to understand the theoretical results, are also given. (C) 2014 Elsevier Inc. All rights reserved.
引用
收藏
页码:560 / 570
页数:11
相关论文
共 50 条
  • [1] Inventory Model with Fixed Shelf Life under Generalized Non-Increasing Demand
    Tuan, Han-Wen
    Hung, Kuo-Chen
    Yang, Gino K.
    [J]. MATHEMATICS, 2021, 9 (21)
  • [2] An Inventory Strategy with Emergency Order in Cluster Supply Chain
    Gao, Benhe
    Jiang, Yili
    [J]. PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON TEACHING AND COMPUTATIONAL SCIENCE, 2014, : 44 - 47
  • [3] Economic Order Quantity for Fuzzy Inventory Model without or with Shortage
    Rajendran, P.
    Pandian, P.
    [J]. MATHEMATICAL MODELLING AND SCIENTIFIC COMPUTATION, 2012, 283 : 136 - 147
  • [4] An integrated production inventory model with shortage for deteriorating item in a supply chain
    Wu, M. Y.
    Wee, H. M.
    [J]. JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2005, 26 (01): : 233 - 246
  • [5] Integrated Inventory Model With Fuzzy Order Quantity And Fuzzy Shortage Quantity
    Rad, Mona Ahmadi
    Khoshalhan, Farid
    [J]. IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2009, : 1782 - 1787
  • [6] Deteriorating item inventory model with shortage due to supplier in an integrated supply chain
    Rau, H
    Wu, MY
    Wee, HM
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2004, 35 (05) : 293 - 303
  • [7] Order and exit decisions under non-increasing price curves for products with short life cycles
    Frenk, J. B. G.
    Pehlivan, Canan
    Sezer, Semih O.
    [J]. MATHEMATICAL METHODS OF OPERATIONS RESEARCH, 2019, 90 (03) : 365 - 397
  • [8] Order and exit decisions under non-increasing price curves for products with short life cycles
    J. B. G. Frenk
    Canan Pehlivan
    Semih O. Sezer
    [J]. Mathematical Methods of Operations Research, 2019, 90 : 365 - 397
  • [9] The coordination mechanisms of emergency inventory model under supply disruptions
    Liu, Jiaguo
    Zhou, Huan
    Wang, Junjin
    [J]. SOFT COMPUTING, 2018, 22 (16) : 5479 - 5489
  • [10] An investigation of vendor-managed inventory application in supply chain: the EOQ model with shortage
    Seyed Hamid Reza Pasandideh
    Seyed Taghi Akhavan Niaki
    Ali Roozbeh Nia
    [J]. The International Journal of Advanced Manufacturing Technology, 2010, 49 : 329 - 339