Multi-stage and multi-objective decision-support tool for biopharmaceutical drug product manufacturing: Equipment technology evaluation

被引:12
作者
Zurcher, Philipp [1 ,2 ]
Shirahata, Haruku [1 ]
Badr, Sara [1 ]
Sugiyama, Hirokazu [1 ]
机构
[1] Univ Tokyo, Dept Chem Syst Engn, Bunkyo Ku, 7-3-1 Hongo, Tokyo 1138656, Japan
[2] Swiss Fed Inst Technol, Inst Chem & Bioengn, Vladimir Prelog Weg 1, CH-8093 Zurich, Switzerland
基金
日本学术振兴会;
关键词
Sterile filling; Single-use technology; Parenterals; Sensitivity analysis; Decision-making; Changeover processes; SINGLE-USE SYSTEMS; TRENDS; INDUSTRY; DESIGN;
D O I
10.1016/j.cherd.2020.07.004
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
The emergence of single use technology (SUT) for equipment promises to be a revolutionary change in biopharmaceutical production. SUT equipment reduces non-value adding working time and provides operational flexibility. However, there are increased process risks such as possible contamination with leachable compounds or supply dependencies, as well as required redesign efforts. This work provides a multi-stage approach for decision-support for optimal equipment technology applied in a case study for a sterile filling line. Three design stages are identified. The first two stages explore the design landscape using the economic performance to show the general trends of favorable regions for equipment technology and the sensitivity to process parameters according to their relative importance. The last stage is more detailed but incorporates additional assessment indicators such as environmental impact and risks of process downtime. From an economic perspective SUT options are more favorable for short term and small-scale production, such as the case for preparing drugs for clinical trials. Traditional stainless-steel options had a significant economic advantage at large scale and long term production. The ranking of favorable options varied as other assessment factors, namely life-cycle CO2 emissions as well as risks in contamination and supply delay, were included in the analysis. The proposed methodology offers an agile decision-making tool, accounts for uncertainties across various design phases, and offers a systematic exploration of the available design landscape. (C) 2020 Institution of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:240 / 252
页数:13
相关论文
共 50 条
  • [41] A multi-objective vibration damping optimization algorithm for solving a cellular manufacturing system with manpower and tool allocation
    Aghajani-Delavar, N.
    Mehdizadeh, E.
    Tavakkoli-Moghaddam, R.
    Haleh, H.
    SCIENTIA IRANICA, 2022, 29 (04) : 2041 - 2068
  • [42] Multi-criteria decision support system of the photovoltaic and solar thermal energy systems using the multi-objective optimization algorithm
    Kim, Jimin
    Hong, Taehoon
    Jeong, Jaemin
    Koo, Choongwan
    Jeong, Kwangbok
    Lee, Minhyun
    SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 659 : 1100 - 1114
  • [43] Evolving decision trees with beam search-based initialization and lexicographic multi-objective evaluation
    Basgalupp, Marcio P.
    Barros, Rodrigo C.
    de Carvalho, Andre C. P. L. F.
    Freitas, Alex A.
    INFORMATION SCIENCES, 2014, 258 : 160 - 181
  • [44] RETRACTED: Multi-Objective Decision Making in GIS-based Multi-Criteria Evaluation for Land Use (Retracted Article)
    Zhu, Qingjie
    Chen, Jing
    2011 INTERNATIONAL CONFERENCE ON ENERGY AND ENVIRONMENTAL SCIENCE-ICEES 2011, 2011, 11 : 3634 - 3640
  • [45] Multi-objective optimization for multi-stage sequential plastic injection molding with plating process using RSM and PCA-based weighted-GRA
    Sreedharan, J.
    Jeevanantham, A. K.
    Rajeshkannan, A.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2020, 234 (05) : 1014 - 1030
  • [46] Performance evaluation of multi-stage manufacturing systems operating under feedback and feedforward quality control loops
    Magnanini, Maria Chiara
    Demir, Ozan
    Colledani, Marcello
    Tolio, Tullio
    CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2024, 73 (01) : 349 - 352
  • [47] Multi-Objective Optimization Model Development to Support Sizing Decisions for a Novel Reciprocating Steam Engine Technology
    Hamel, J. M.
    Allphin, Devin
    Elroy, Joshua
    JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME, 2018, 140 (07):
  • [48] A Multi-objective Location Decision Making Model for Emergency Shelters Giving Priority to Subjective Evaluation of Residents
    Wang, Yiying
    Xu, Zeshui
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2022, 17 (04)
  • [49] Multi-Objective Optimization Design and Experimental Investigation for a Prismatic Lithium-Ion Battery Integrated with a Multi-Stage Tesla Valve-Based Cold Plate
    Fan, Yiwei
    Wang, Zhaohui
    Xiong, Xiao
    Panchal, Satyam
    Fraser, Roydon
    Fowler, Michael
    PROCESSES, 2023, 11 (06)
  • [50] From automation to autonomy in smart manufacturing: a Bayesian optimization framework for modeling multi-objective experimentation and sequential decision making
    Asru, Avijit Saha
    Khosravi, Hamed
    Ahmed, Imtiaz
    Azeem, Abdullahil
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2025, : 5027 - 5057