Analytics of an Imperfect Four-Layer Production Inventory Model Under Two-Level Credit Period Using Branch-and-Bound Technique

被引:0
|
作者
Subrata Panja
Shyamal Kumar Mondal
机构
[1] Vidyasagar University,Department of Applied Mathematics with Oceanology and Computer Programming
关键词
Supply chain; Integrated production inventory; Four-layer inventory system; Imperfect production; Two-level credit period; 90-10;
D O I
暂无
中图分类号
学科分类号
摘要
This paper explains an integrated production inventory supply chain model, which consists of a supplier, a manufacturer and a retailer under two-level credit period. One is manufacturer’s credit period offered by the supplier, and other is retailer’s credit period offered by the manufacturer. Here, the manufacturer replenishes raw materials from the supplier and produces non-deteriorating products in some cycles of equal length. It is noted that here four inventory structures have been considered to show the flow of the materials as either raw materials or finished products from supplier to retailer via manufacturer. Also in this model, manufacturer’s imperfect production has been considered. Here imperfect items are not repairable. The retailer receives good finished products from the manufacturer and sells these to his/her customers during some cycles of equal length in total time horizon. Our main objective is to find the optimal number of production and business cycles of the manufacturer such that the integrated system can get the maximum profit. The above discussed model is elaborated with the help of a numerical example, and a sensitivity analysis is done with respect to some parameters used in this model.
引用
收藏
页码:725 / 748
页数:23
相关论文
共 19 条
  • [1] Analytics of an Imperfect Four-Layer Production Inventory Model Under Two-Level Credit Period Using Branch-and-Bound Technique
    Panja, Subrata
    Mondal, Shyamal Kumar
    JOURNAL OF THE OPERATIONS RESEARCH SOCIETY OF CHINA, 2022, 10 (04) : 725 - 748
  • [2] Analyzing a four-layer green supply chain imperfect production inventory model for green products under type-2 fuzzy credit period
    Panja, Subrata
    Mondal, Shyamal Kumar
    COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 129 : 435 - 453
  • [3] Retailer's credit and inventory decisions for imperfect quality and deteriorating items under two-level trade credit
    Tiwari, Sunil
    Eduardo Cardenas-Barron, Leopoldo
    Malik, Asif Iqbal
    Jaggi, Chandra K.
    COMPUTERS & OPERATIONS RESEARCH, 2022, 138
  • [4] An inventory model under two-level trade credit when demand is stimulated by stock level
    Mo Jiangtao
    Fu Linlin
    Li Zhonghui
    Hao Jiaqin
    2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2013, : 41 - 45
  • [5] Production inventory model for two-level trade credit financing under the effect of preservation technology and learning in supply chain
    Kumar, Sunil
    Handa, Nidhi
    Singh, S. R.
    Yadav, Dharmendra
    COGENT ENGINEERING, 2015, 2 (01):
  • [6] Deteriorating inventory model with finite production rate and two-level of credit financing for stochastic demand
    Shah N.H.
    Shah B.J.
    Shah A.D.
    OPSEARCH, 2013, 50 (3) : 358 - 371
  • [7] An inventory model with variable demand incorporating unfaithfulness of customers under two-level trade credit
    Pramanik, Prasenjit
    Maiti, Manas Kumar
    EUROPEAN JOURNAL OF INDUSTRIAL ENGINEERING, 2019, 13 (04) : 461 - 488
  • [8] An imperfect production inventory model with advance payment and credit period in a two-echelon supply chain management
    Khara, Barun
    Mondal, Shyamal Kumar
    Dey, Jayanta Kumar
    RAIRO-OPERATIONS RESEARCH, 2021, 55 (01) : 189 - 211
  • [9] Analyzing an inventory model with two-level trade credit period including the effect of customers’ credit on the demand function using q-fuzzy number
    Ateka Banu
    Shyamal Kumar Mondal
    Operational Research, 2020, 20 : 1559 - 1587
  • [10] Decaying inventory model with stock-dependent demand and shortages under two-level trade credit
    Annadurai, Karuppuchamy
    Uthayakumar, Ramasamy
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2015, 77 (1-4): : 525 - 543