Strategic supply chain optimization for the pharmaceutical industries

被引:122
|
作者
Papageorgiou, LG
Rotstein, GE
Shah, N
机构
[1] UCL, Dept Chem Engn, London WC1E 7JE, England
[2] Univ London Imperial Coll Sci Technol & Med, Ctr Proc Syst Engn, London SW7 2BY, England
关键词
D O I
10.1021/ie990870t
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Pharmaceutical companies are undergoing major changes to cope with the new challenges of the modern economy. The globalization of the business, the diversity and complexity of new drugs, the increasing tightness of capital, and the diminishing protection provided by patents are some of the factors driving these changes. All stages of the business value chain are affected: from the development of new drugs to the management of the manufacturing and marketing networks. This paper describes an optimization-based approach to selecting both a product development and introduction strategy and a capacity planning and investment strategy. The overall problem is formulated as a mixed-integer linear programming (MILP) model. This takes account of both the particular features of pharmaceutical active ingredient manufacturing and the global trading structures. An illustrative example is presented to demonstrate the applicability of the proposed model.
引用
收藏
页码:275 / 286
页数:12
相关论文
共 50 条
  • [21] Strategic issues in pharmaceutical supply chains: a review
    Singh, Rajesh Kr.
    Kumar, Ravinder
    Kumar, Pravin
    [J]. INTERNATIONAL JOURNAL OF PHARMACEUTICAL AND HEALTHCARE MARKETING, 2016, 10 (03) : 234 - 257
  • [22] How to quantify social impacts in strategic supply chain optimization: State of the art
    Messmann, Lukas
    Zender, Victoria
    Thorenz, Andrea
    Tuma, Axel
    [J]. JOURNAL OF CLEANER PRODUCTION, 2020, 257
  • [23] Stochastic Optimization of the Strategic Planning Supply Chain of Biorefineries: Large Scale Models
    Rodriguez-Gonzalez, Pablo A.
    Frausto-Hernandez, Sergio
    Bravo-Sanchez, Ulises I.
    [J]. 24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B, 2014, 33 : 1693 - 1698
  • [24] Logistics planning optimization for strategic alliance supply chain under multiple uncertainty
    Weng, Weibing
    Shao, Juping
    [J]. Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2014, 50 (04): : 192 - 202
  • [25] Leveraging Blockchain with Optimal Deep Learning-Based Drug Supply Chain Management for Pharmaceutical Industries
    Perumalsamy, Shanthi
    Kaliyamurthy, Venkatesh
    [J]. CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 77 (02): : 2341 - 2357
  • [26] An integrated decision support system for strategic supply chain optimisation in process industries: the case of a zinc company
    Gupta, Narain
    Dutta, Goutam
    Tiwari, Manoj K.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2018, 56 (17) : 5866 - 5882
  • [27] Exploring Light Industries' Supply Chain Costs through Multi-Objective Optimization
    Tshivhase, Tracey
    Kainuma, Yasutaka
    [J]. INDUSTRIAL ENGINEERING AND MANAGEMENT SYSTEMS, 2020, 19 (04): : 847 - 856
  • [28] A hierarchical architecture of modelling on integrated supply chain optimization systems of continuous process industries
    Zhou, ZY
    Cheng, SW
    Hua, B
    [J]. PROCESS SYSTEMS ENGINEERING 2003, PTS A AND B, 2003, 15 : 684 - 689
  • [29] Is the Supply of Key Metals in Strategic Emerging Industries Secure?
    Sun, Han
    Wang, Xiaohao
    Meng, Zhenghao
    [J]. Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences, 2022, 47 (10): : 3889 - 3890
  • [30] Information Flow in the Pharmaceutical Supply Chain
    Yousefi, Nazila
    Alibabaei, Ahmad
    [J]. IRANIAN JOURNAL OF PHARMACEUTICAL RESEARCH, 2015, 14 (04): : 1299 - 1303