A Comparative Study on Replenishment Policies for Perishable Inventory System with Service Facility and Multiple Server Vacation

被引:2
|
作者
Radhamani, V. [1 ]
Sivakumar, B. [2 ]
Arivarignan, G. [3 ]
机构
[1] JKK Nataraja Coll Arts & Sci, Dept Math, Namakkal, India
[2] Madurai Kamaraj Univ, Sch Math, Madurai, Tamil Nadu, India
[3] Manonmaniam Sundaranar Univ, Dept Stat, Tirunelveli, India
关键词
Multiple Server Vacation; Perishable Inventory system; Variable-size Order Policy; Order-Up-To S Policy; (s; S) Policy; Service Facility; G-NETWORKS; DEMANDS; MODEL; OPTIMIZATION;
D O I
10.1007/s12597-021-00540-6
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In the continuous review inventory systems the most widely used ordering policy is (s, S) policy, also known as Two-Bin policy. In the case when the stocked items can perish, fail, or become useless after a random time, this policy may not be optimal, as after placement of an order more items may perish with less number of demands during the lead time. If we allow vacation of server when no-customer or no-item in the system, the replenished stock at the end of vacation, may be lower than the reorder level, viz., s. This calls for the placement of additional order and we propose to place order (1) of fixed size, (2) that replenishes the stock to full capacity, or (3) of variable size depending on the level at the time of ordering. An attempt has been made in this paper to make a comparative study of these policies under a broad set-up consisting of MAP arrivals for both regular customers and for negative customers, random life time for items, single server, infinite waiting hall, multiple (one-after-another) vacations of random length, random service time and random lead time. After deriving the necessary equations (in steady state) for various measures of system performance, an extensive numerical study is provided.
引用
收藏
页码:229 / 265
页数:37
相关论文
共 50 条
  • [31] Perishable inventory system at service facilities with N policy
    Krishnamoorthy, A.
    Anbazhagan, N.
    STOCHASTIC ANALYSIS AND APPLICATIONS, 2008, 26 (01) : 120 - 135
  • [32] The optimal service policies in an M/G/1 queueing system with multiple vacation types
    Zhang, ZG
    Vickson, R
    Love, E
    INFOR, 2001, 39 (04) : 357 - 366
  • [33] Multi-Server Queuing Production Inventory System with Emergency Replenishment
    Shajin, Dhanya
    Krishnamoorthy, Achyutha
    Melikov, Agassi Z.
    Sztrik, Janos
    MATHEMATICS, 2022, 10 (20)
  • [34] The optimal service policies in an M/G/1 queueing system with multiple vacation types
    Zhang, Zhe George
    Vickson, Raymond
    Love, Ernie
    2001, University of Toronto Press (39)
  • [35] Stock replenishment policies for a vendor -managed inventory in a retailing system
    Taleizadeh, Ata Allah
    Shokr, Iman
    Konstantaras, Ioannis
    VafaeiNejad, Mahyar
    JOURNAL OF RETAILING AND CONSUMER SERVICES, 2020, 55
  • [36] COORDINATED VS INDEPENDENT INVENTORY REPLENISHMENT POLICIES FOR A VENDOR AND MULTIPLE BUYERS
    BANERJEE, A
    BURTON, JS
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1994, 35 (1-3) : 215 - 222
  • [37] On a Retrial Production Inventory System with Vacation and Multiple Servers
    Jose K.P.
    Beena P.
    International Journal of Applied and Computational Mathematics, 2020, 6 (4)
  • [38] A perishable inventory system with service facilities, MAP arrivals and PH — Service times
    Paul Manuel
    B. Sivakumar
    G. Arivarignan
    Journal of Systems Science and Systems Engineering, 2007, 16 : 62 - 73
  • [39] A perishable inventory system with service facilities, MAP arrivals and PH -: Service times
    Manuel, Paul
    Sivakumar, B.
    Arivarignan, C.
    JOURNAL OF SYSTEMS SCIENCE AND SYSTEMS ENGINEERING, 2007, 16 (01) : 62 - 73
  • [40] A single server queueing system with two phases of service subject to server breakdown and Bernoulli vacation
    Choudhury, Gautam
    Deka, Mitali
    APPLIED MATHEMATICAL MODELLING, 2012, 36 (12) : 6050 - 6060