Model-Based Decision Support in Supply Chains - Requirements for Monetary Supply Risk Quantification

被引:1
|
作者
von Cube, Johann Philipp [1 ]
Haertel, Lasse [1 ]
Schmitt, Robert [1 ,2 ]
机构
[1] Fraunhofer Inst Prod Technol, Steinbachstr 17, D-52074 Aachen, Germany
[2] Rhein Westfal TH Aachen, Lab Machine Tools & Prod Engn WZL, Steinbachstr 19, D-52074 Aachen, Germany
关键词
risk quantification; monetary assessment; supply chain risk management; modeling requirements;
D O I
10.1016/j.procir.2016.11.030
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Optimization of the total risk level by economically feasible risk mitigation can only be achieved through a well-grounded monetary evaluation of the current risk situation. In the field of material supply and procurement directly affecting production and distribution processes a lack of such quantitative simulation model has been identified. Efficient modeling and simulation of monetary supply risk quantification in manufacturing enterprises requires target oriented simplification of the quantification model. Thereby requirements from three different disciplines need to be considered: (1) procurement in supply chains, (2) supply risks, and (3) monetary risk quantification. In this paper we propose a target oriented approach to deviate and discuss requirements for an applicable monetary supply risk quantification model particularly focusing on supply risks providing meaningful results to derive reasonable risk mitigation measures. Hence, a requirement checklist will be provided to be considered in development of monetary supply risk quantification models. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:171 / 176
页数:6
相关论文
共 50 条
  • [1] Towards pre-emptive resilience in military supply chains: A compromise decision support model-based approach
    Mohammed, Shehu Sani
    Schaefer, Dirk
    Milisavljevic-Syed, Jelena
    [J]. PRODUCTION AND MANUFACTURING RESEARCH-AN OPEN ACCESS JOURNAL, 2023, 11 (01):
  • [2] Decision Support Model for Planning Optimal Hydrogen Supply Chains
    Oh, Hui Xuan
    Ng, Denny K. S.
    Andiappan, Viknesh
    [J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2023, 62 (38) : 15535 - 15552
  • [3] Requirements Gathering and Validation for Risk-Oriented Tool Support in Supply Chains
    Printz, Stephan
    Ponsard, Christophe
    von Cube, Johann Philipp
    De Landtsheer, Renaud
    Ospina, Gustavo
    Massonet, Philippe
    Schmitt, Robert
    Jeschke, Sabina
    [J]. SIMULATION AND MODELING METHODOLOGIES, TECHNOLOGIES AND APPLICATIONS, SIMULTECH 2016, 2018, 676 : 120 - 139
  • [4] Development of a Decision Support Model for Managing Supply Chain Design Problems in Global Service Supply Chains
    Reich, Juri
    Wakolbinger, Tina
    Kinra, Aseem
    [J]. DYNAMICS IN LOGISTICS (LDIC 2020), 2020, : 299 - 308
  • [5] Object oriented modeling and decision support for supply chains
    Biswas, S
    Narahari, Y
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2004, 153 (03) : 704 - 726
  • [6] Decision support for collaboration planning in sustainable supply chains
    Allaoui, Hamid
    Guo, Yuhan
    Sarkis, Joseph
    [J]. JOURNAL OF CLEANER PRODUCTION, 2019, 229 : 761 - 774
  • [7] Decision Support Tool for Strategic Planning in Supply Chains
    Costa, Pedro
    Gomes, Maria Isabel
    Carvalho, Ana
    Barbosa-Povoa, Ana
    [J]. 24TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A AND B, 2014, 33 : 895 - 900
  • [8] A Decision-Support Model for Filtering RFID Read Data in Supply Chains
    Tu, Yu-Ju
    Piramuthu, Selwyn
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND REVIEWS, 2011, 41 (02): : 268 - 273
  • [9] DECISION SUPPORT MODEL FOR INFORMATION SYSTEMS INTEGRATION IN SUPPLY CHAINS: A FUZZY APPROACH
    Perez Armayor, Dania
    Diaz Batista, Jose A.
    [J]. COMPUTATIONAL INTELLIGENCE IN BUSINESS AND ECONOMICS, 2010, 3 : 281 - 288
  • [10] RFID-BASED REAL-TIME DECISION SUPPORT IN SUPPLY CHAINS
    Hegmanns, Tobias
    Toth, Michael
    [J]. 10TH INTERNATIONAL CONFERENCE ON MODELING AND APPLIED SIMULATION, MAS 2011, 2011, : 303 - 308