Dimensioning the Supply Chain Decision Support Systems

  1. Puche Regaliza, Julio César 1
  2. Ponte, Borja 2
  3. Costas Gual, José 3
  4. Pino Diez, Raúl 4
  5. de la Fuente García, David 4
  1. 1 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

  2. 2 Cardiff University
    info

    Cardiff University

    Cardiff, Reino Unido

    ROR https://ror.org/03kk7td41

  3. 3 Department of Engineering, Florida Centre de Formació, Florida Universitària, Catarroja, Valencia
  4. 4 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Livre:
Lecture Notes in Management and Industrial Engineering

Éditorial: Springer

ISSN: 2198-0772 2198-0780

ISBN: 9783030445294

Année de publication: 2020

Pages: 175-182

Type: Chapitre d'ouvrage

DOI: 10.1007/978-3-030-44530-0_21 GOOGLE SCHOLAR lock_openAccès ouvert editor

Objectifs de Développement Durable

Références bibliographiques

  • Ashby WR (1956) An introduction to cybernetics. Wiley, New York
  • Attaran M, Attaran S (2007) Collaborative supply chain management: the most promising practice for building efficient and sustainable supply chains. Bus Process Manag J 13(3):390–404
  • Beer S (1959) Cybernetics and management. English Universities Press, London
  • Beer S (1985) Diagnosing the system for organizations. Wiley, Chichester
  • Bhinge R, Moser R, Moser E, Lanza G, Dornfeld D (2015) Sustainability optimization for global supply chain decision-making. Procedia CIRP 26:323–328
  • Boisot M, McKelvey B (2011) Complexity and organization-environment relations: revisiting Ashby’s law of requisite variety. In: Allen P, Maguire S, Mckelvey B (eds) The Sage handbook of complexity and management, Los Angeles, pp 279–298
  • Chatfield DC, Pritchard AM (2013) Returns and the bullwhip effect. Transp Res Part E Logist Transp Rev 49(1):159–175
  • Chopra S, Meindl P (2007) Supply chain management: strategy, planning and operation, 3rd edn. Pearson, Prentice Hall, New Jersey
  • Conant RC, Ashby WR (1970) Every good regulator of a system must be model of that system. Int J Syst Sci 1(2):89–97
  • Costas J, Ponte B, de la Fuente D, Pino R, Puche J (2015) Applying Goldratt’s theory of constraints to reduce the bullwhip effect through agent-based modeling. Expert Syst Appl 42(4):2049–2060
  • Cox JF III, Walker ED II (2006) The poker chip game: a multi-product, multi-customer, multi-echelon, stochastic supply chain network useful for teaching the impacts of pull versus pus inventory policies on link and chain performance. INFORMS Trans Educ 6(3):3–19
  • Dijkman RM, Dumas M, Ouyang C (2008) Semantics and analysis of business process models in BPMN. Inf Softw Technol 50(12):1281–1294
  • Goodwin JS, Franklin SG (1994) The beer distribution game: using simulation to each system thinking. J Manag Dev 13(8):7–15
  • Jairman WE (1963) Problems in industrial dynamics. MIT Press, Cambridge
  • Jensen K, Kristensen LM, Wells L (2007) Coloured petri nets and CPN tools for modelling and validation of concurrent systems. Int J Softw Tools Technol Transf 9(3–4):213–254
  • Ketchen DJ, Hult TM (2007) Bridging organization theory and supply chain management: the case of best value supply chains. J Oper Manag 25(2):573–580
  • Macdonald JR, Frommer ID, Karaesmen IZ (2013) Decision making in the beer game and supply chain performance. Oper Manag Res 6(3–4):119–126
  • Mathaisel DF, Manary JM, Comm CL (2009) Enterprise sustainability: enhancing the military’s ability to perform its mission. CRC Press, Boca Raton (FL)
  • Mentzer JT, DeWitt W, Keebler JS, Min S, Nix NW, Smith CD, Zacharia ZG (2001) Defining supply chain management. J Bus Logist 22(2):1–25
  • Petri CA (1977) Modelling as a communication disciplines. In: Beilner H, Gelenbe E (eds) Measuring, modelling and evaluating computer systems, North Holland, Amsterdam, pp 435–449
  • Ponomarov SY, Holcomb MC (2009) Understanding the concept of supply chain resilience. Int J Logist Manag 20(1):124–143
  • Ponte B, Costas J, Puche J, de la Fuente D, Pino R (2016) Holism versus reductionism in supply chain management: an economic analysis. Decis Support Syst 86:83–94
  • Puche J, Ponte B, Costas J, Pino R, de la Fuente D (2016) Systemic approach to supply chain management through the viable system model and the theory of constraints. Prod Plan Control 27(5):421–430
  • Pujari S, Mukhopadhyay S (2012) Petri net: a tool for modeling and analyze multi-agent oriented systems. Int J Intell Syst Appl 10:103–112
  • Simatupang TM, Sridharan R (2002) The collaborative supply chain. Int J Logist Manag 13(1):15–30
  • Simchi-Levi D, Simchi-Levi E, Kaminsky P (1999) Designing and managing the supply chain: concepts, strategies, and cases. McGraw-Hill, New York
  • Tachizawa EM, Thomsen CG (2007) Drivers and sources of supply flexibility: an exploratory study. International Journal of Operations & Production Management 27(10):1115–1136
  • Wiener N (1948) Cybernetics or the control and communication in the animal and the machine. MIT Press, Cambridge
  • Wilensky U (1999) NetLogo. Northwestern University, Evanston, IL: The Center for Connected Learning and Computer—Based Modeling. http://ccl.northwetern.edu/netlogo/. Accessed 6 Jan 2018