nach oben

Erschienen in:

2022 | OriginalPaper | Buchkapitel

Playing with DISASTER: A Blockchain-Enabled Supply Chain Simulation Platform for Studying Shortages and the Competition for Scarce Resources

verfasst von : Daniel Hellwig, Kai Wendt, Volodymyr Babich, Arnd Huchzermeier

Erschienen in: Creating Values with Operations and Analytics

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This chapter explores the potential of distributed ledger technology (DLT) in addressing supply chain shortages and competition for scarce resources. Specifically, we assess the effect of strategic information sharing on supply chain efficiency and the creation of virtual markets to improve supply chain performance. To facilitate this research, we designed a simulation platform called DISASTER (DLT In Sourcing And Strategic Trading Experimental Research), which hosts web-based, dynamic, and customizable supply chain simulations that leverage concepts of blockchain technology, and permit capturing of information regarding players’ ordering strategies and behavioral traits.

In this chapter, we describe the DISASTER platform and discuss two selected DISASTER simulations that probe supply chain retailers’ order behavior: the first investigates the role of information sharing among competing retailers; the second allows for the trading of tokens among competing retailers. In the first simulation, we find that decision makers act more strategically and closer to Nash equilibrium predictions as more information about historical orders of competitors is shared; however, the observed outcome is not invariably an improvement in efficiency as measured by profits across participants. In the second simulation, we observe that initial order quantities remain unchanged as compared to the baseline (non-trading) scenario, despite the possibility to trade on virtual markets; however, over time, more equitable distribution of inventory is achieved, and the supply chain efficiency as measured by profits increases.

Our findings highlight the value of empirical research and management games in shedding light on the role of decision makers’ behavioral characteristics and investigating real-life supply chain challenges and the potential of adopting blockchain-specific capabilities in that space.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Service Parts Management: Theoretical Foundations, Practice, and Opportunities

Nächstes Kapitel Operations Management in Semiconductor and Computing Technology Industries: Capacity, Outsourcing, and Production

Nur mit Berechtigung zugänglich

www.disaster-game.com.

See Appendix C for a list of questions used to assess behavioral characteristics.

Institutional Review Board, a committee responsible for the review of research involving human subjects.

Questions can be added to the underlying spreadsheet with a fast and easy plug-and-play approach

AlixPartners (2021) Shortages related to semiconductors to cost the auto industry $210 billion in revenues this year. Retrieved November 5, 2021, from https://www.alixpartners.com/media-center/press-releases/press-release-shortages-related-to-semiconductors-to-cost-the-auto-industry-210-billion-in-revenues-this-year-says-new-alixpartners-forecast/

Babich V, Hilary G (2019) Blockchain and other distributed ledger technologies in operations. Found Trends Technol Inf Oper Manag 12(2–3):152–172. https://doi.org/10.1561/0200000084 CrossRef

Babich V, Hilary G (2020) OM forum—distributed ledgers and operations: what operations management researchers should know about blockchain technology. Manuf Serv Oper Manag 22(2):223–240. https://doi.org/10.1287/msom.2018.0752 CrossRef

Babich V, Hilary G (2022) Tutorial on blockchain applications in supply chains. In: Babich V, Birge J, Hillary G (eds) Innovative technology at the interface of finance and operations. Springer Nature, S.l.

Baganha MP, Cohen MA (1998) The stabilizing effect of inventory in supply chains. Oper Res 46(3):72–83. https://doi.org/10.1287/opre.46.3.S72 CrossRef

Berg J, Dickhaut J, McCabe K (1995) Trust, reciprocity and social history. Games Econ Behav 10(1):122–142. https://doi.org/10.1006/game.1995.1027 CrossRef

Blais AR, Weber EU (2006) A domain-specific risk-taking (DOSPERT) scale for adult populations. Judgm Decis Mak 1(1). https://ssrn.com/abstract=1301089

Bolton GE, Katok E (2008) Learning by doing in the newsvendor problem: a laboratory investigation of the role of experience and feedback. Manuf Serv Oper Manag 10(3):519–538CrossRef

Cachon GP, Lariviere MA (1999) An equilibrium analysis of linear, proportional, and uniform allocation of scarce capacity. IIE Trans 31:835–849. https://doi.org/10.1023/A:1007670515586 CrossRef

Chen Y, Su X, Zhao X (2012) Modeling bounded rationality in capacity allocation games with the quantal response equilibrium. Manag Sci 58(10):1952–1962. https://doi.org/10.1287/mnsc.1120.1531 CrossRef

Cohen MA, Kouvelis P (2020) Revisit of AAA excellence of global value chains: robustness, resilience and realignment. Prod Oper Manag 30(3):633–643. https://doi.org/10.1111/poms.13305 CrossRef

Cohen MA, Lee HL (2020) Designing the right global supply chain network. Manuf Serv Oper Manag 22(1):15–24. https://doi.org/10.1287/msom.2019.0839 CrossRef

Cohen MA, Kleindorfer PR, Lee HL (1986) Optimal stocking policies for low usage items in multi-echelon inventory systems. Naval Res Logist Q 33(1):17–38. https://doi.org/10.1002/nav.3800330103 CrossRef

Cooper D, Kagel JH (2016) Other regarding preferences: a selective survey of experimental results. In: Kagel J, Roth A (eds) The handbook of experimental economics, vol 2. Princeton University Press

Cox JC (2004) How to identify trust and reciprocity. Games Econ Behav 46(2):260–281. https://doi.org/10.1016/S0899-8256(03)00119-2 CrossRef

Croson R, Donohue K (2006) Behavioral causes of the bullwhip effect and the observed value of inventory information. Manag Sci 52(3):323–336. https://doi.org/10.1287/mnsc.1050.0436 CrossRef

Cui TH, Zhang Y (2018) Cognitive hierarchy in capacity allocation games. Manag Sci 64(3):1250–1270. https://doi.org/10.1287/mnsc.2016.2655 CrossRef

Deshpande V, Cohen MA, Donohue K (2003) A threshold inventory rationing policy for service differentiated demand classes. Manag Sci 49(6):683–703. https://doi.org/10.1287/mnsc.49.6.683.16022 CrossRef

Fahimnia B, Pournader M, Siemsen E, Bendoly E, Wang C (2019) Behavioral operations and supply chain management - a review and literature mapping. Decis Sci 50(6):1127–1183. https://doi.org/10.1111/deci.12369 CrossRef

Falk A, Becker A, Dohmen T, Huffman D, Sunde U (2016) The preference survey module: a validated instrument for measuring risk, time, and social preferences. IZA Discussion Paper 9674. https://doi.org/10.2139/ssrn.2725035

Fathomd (2022) Business Games for better learning. Retrieved December 14, 2021, from https://www.fathomd.com/

Federgruen A, Zipkin P (1984) Approximations of dynamic, multilocation production and inventory problems. Manag Sci 30(1):69–84. https://doi.org/10.1287/mnsc.30.1.69 CrossRef

Fehr E, Goette L (2007) Do workers work more if wages are high? Evidence from a randomized field experiment. Am Econ Rev 97(1):298–317. https://doi.org/10.2139/ssrn.326803 CrossRef

Fehr E, Schmidt KM (1999) A theory of fairness, competition and cooperation. Q J Econ 114(3):817–868. https://doi.org/10.2139/ssrn.106228 CrossRef

Forsythe R, Horowitz JL, Savin NE, Sefton M (1994) Fairness in simple bargaining experiments. Games Econ Behav 6(3):347–369. https://doi.org/10.1006/game.1994.1021 CrossRef

Fox CR, Tversky A (1995) Ambiguity aversion and comparative ignorance. Q J Econ 110(3):585–603. https://doi.org/10.2307/2946693 CrossRef

Frederick S (2005) Cognitive reflection and decision making. J Econ Perspect 19(4):25–42. https://doi.org/10.1257/089533005775196732 CrossRef

Gächter S, Johnson EJ, Herrmann A (2021) Individual-level loss aversion in riskless and risky choices. Theory Decis. https://doi.org/10.1007/s11238-021-09839-8

GDPR (2022) Complete guide to GDPR compliance. Retrieved January 08, 2022, from https://gdpr.eu/

Halevy Y (2007) Ellsberg revisited: an experimental study. Econometrica 75(2):503–536. https://www.jstor.org/stable/4501998 CrossRef

Hellwig DP, Huchzermeier A (2022) Next generation information sharing in a blockchain-enabled supply chain. In: Babich V, Birge J, Hillary G (eds) Innovative technology at the interface of finance and operations. Springer Nature, S.l.

Hellwig DP, Karlic G, Huchzermeier A (2020) Build your own blockchain: a practical guide to distributed ledger technology. Springer Nature, S.l. https://doi.org/10.1007/978-3-030-40142-9 CrossRef

Holt CA, Laury SK (2002) Risk aversion and incentive effects. Am Econ Rev 92(5):1644–1655. https://www.jstor.org/stable/3083270 CrossRef

INFORMS (2004) Morris Cohen, MSOM Fellow, 2004. Retrieved January 22, 2022, from https://connect.informs.org/msom/msom-resources/fellows/cohen

Kahneman D, Tversky A (1979) Prospect theory: an analysis of decision under risk. Econometrica 47(2):263–292. https://doi.org/10.2307/1914185 CrossRef

Katok E, Villa S (2021) Centralized or decentralized transfer prices: a behavioral approach for improving supply chain coordination. Manuf Serv Oper Manag. https://doi.org/10.1287/msom.2020.0957

Katok E, Leider S, Donohue K (2018) The handbook of behavioral operations. Wiley & Sons

Lee HL, Padmanabhan V, Whang S (1997) Information distortion in a supply chain: the bullwhip effect. Manag Sci 43(4):546–558. https://doi.org/10.1287/mnsc.43.4.546 CrossRef

Lotfi Z, Mukhtar M, Sahran S, Zadeh AT (2013) Information sharing in supply chain management. Procedia Technol 11:298–304. https://doi.org/10.1016/j.protcy.2013.12.194 CrossRef

Mayer RC, Davis JH (1999) The effect of the performance appraisal system on trust for management: a field quasi-experiment. J Appl Psychol 84(1):123. https://doi.org/10.1037/0021-9010.84.1.123 CrossRef

oTree (2022) oTree - the most powerful platform for behavioral research and experiments. Retrieved December 14, 2021, from http://www.otree.org/

Ren ZJ, Cohen MA, Ho TH, Terwiesch C (2009) Information sharing in a long-term supply chain relationship: the role of customer review strategy. Oper Res 58(1):81–93. https://doi.org/10.1287/opre.1090.0750 CrossRef

Roland (2021) Pacemaker, ultrasound companies seek priority amid chip shortage. Retrieved October 10, 2021, from https://www.wsj.com/articles/pacemaker-ultrasound-companies-seek-priority-amid-chip-shortage-11633258802

Rudi N, Kapur S, Pyke DF (2001) A two-location inventory with transshipment and a local decision making. Manag Sci 47(12):1668–1680. https://doi.org/10.1287/mnsc.47.12.1668.10235 CrossRef

Russo JE, Schoemaker PJ (1992) Managing overconfidence. Sloan Manag Rev 33(2):7–17

SoPHIELabs (2022) Your partner for online experiments, behavioral research and serious games. Retrieved December 14, 2021, from https://www.sophielabs.com/

Sterman JD (1989a) Teaching takes off flight simulators for management education – “The Beer Game”. Retrieved December 16, 2021, from https://web.mit.edu/jsterman/www/SDG/beergame.html

Sterman JD (1989b) Modeling managerial behavior: misperceptions of feedback in a dynamic decision making experiment. Manag Sci 35(3):321–339. https://doi.org/10.1287/mnsc.35.3.321 CrossRef

Tagaras G, Cohen MA (1992) Pooling in two-location inventory systems with non-negligible replenishment lead times. Manag Sci 38(8):1067–1083. https://doi.org/10.1287/mnsc.38.8.1067 CrossRef

Terwiesch C, Ren ZJ, Ho TH, Cohen MA (2005) An empirical analysis of forecast sharing in the semiconductor equipment supply chain. Manag Sci 51(2):208–220. https://doi.org/10.1287/mnsc.1040.0317 CrossRef

van Damme E, Binmore KG, Roth AE, Samuelson L, Winter E, Bolton GE, Ockenfels A, Dufwenberg M, Kirchsteiger G, Gneezy U, Kocher MG, Sutter M, Sanfey AG, Kliemt H, Selten R, Nagel R, Azar OH (2014) How Werner Güth’s ultimatum game shaped our understanding of social behavior. J Econ Behav Organ 108:292–318. https://doi.org/10.1016/j.jebo.2014.10.014 CrossRef

van Engelenburg S, Janssen M, Klievink B (2018) A blockchain architecture for reducing the bullwhip effect. In: Shishkov B (ed) Business modeling and software design, vol 319. Springer International Publishing, pp 69–82CrossRef

Wang X, Disney SM (2016) The bullwhip effect: progress, trends and directions. Eur J Oper Res 250(3):691–701. https://doi.org/10.1016/j.ejor.2015.07.022 CrossRef

WEF (2021) What’s the bullwhip effect and how can we avoid crises like the global chip shortage. Retrieved May 20, 2021, from https://www.weforum.org/agenda/2021/05/what-s-the-bullwhip-effect-and-how-can-we-avoid-crises-like-the-global-chip-shortage/

Xue X, Dou J, Shang Y (2020) Blockchain-driven supply chain decentralized operations – information sharing perspective. Bus Process Manag J 27(1):184–203. https://doi.org/10.1108/BPMJ-12-2019-0518 CrossRef

Zhao Y (2022) Games and experiential learning in supply chain management. Retrieved December 16, 2021, from http://zhao.rutgers.edu/Games-Hunger-Chain.pdf

z-Tree - Zurich Toolbox for Readymade Economic Experiments (2022) Zurich toolbox for readymade economic experiments. Retrieved December 14, 2021, from https://www.ztree.uzh.ch/en.html

Titel: Playing with DISASTER: A Blockchain-Enabled Supply Chain Simulation Platform for Studying Shortages and the Competition for Scarce Resources
verfasst von: Daniel Hellwig
Kai Wendt
Volodymyr Babich
Arnd Huchzermeier
Verlag: Springer International Publishing
Buch: Creating Values with Operations and Analytics
Print ISBN: 978-3-031-08870-4

Electronic ISBN: 978-3-031-08871-1

Copyright-Jahr: 2022
DOI: https://doi.org/10.1007/978-3-031-08871-1_9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Premium Partner