Abstract
This paper presents an approach that provisions resources to a set of business processes’ tasks for consumption at run-time. However, it happens that these tasks are disrupted by other urgent tasks that require immediate resource provisioning. Besides resources’ consumption properties like limited and shareable, and tasks’ transactional properties like pivot and retriable, disruptions make tasks suspend their ongoing execution, so they release their resources to the disrupting tasks that now need to be executed. These resources were initially assigned to what is now referred to as disrupted tasks. To consider the intrinsic characteristics of the consumption properties, transactional properties, and disruptions when resources are provisioned to disrupted/disrupting tasks, the approach adopts Allen’s interval algebra to ensure a free-of-conflict consumption of resources. A system demonstrating the technical doability of the approach based on a case study about loan applications and a real dataset is presented in the paper, as well.
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Notes
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Requests for extra-time could be repeated, if deemed necessary, but not indefinitely.
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References
Alessandro, S., Davide, A., Elisabetta, B., Riccardo, D., Valeria, M.: A data-driven methodology for supporting resource planning of health services. Socio-Econ. Plan. Sci. 70, 100744 (2020)
Allen, J.: Maintaining knowledge about temporal intervals. Commun. ACM 26(11), 832–843 (1983)
Ayoub, A., Elgammal, A.: Utilizing twitter data for identifying and resolving run-time business process disruptions. In: Proceedings of OTM Confederated International Conferences “On the Move to Meaningful Internet Systems” (OTM 2018), Valletta, Malta (2018)
Delcoucq, L., Lecron, F., Fortemps, P., van der Aalst, W.M.: Resource-centric process mining: clustering using local process models. In: Proceedings of the 35th Annual ACM Symposium on Applied Computing (SAC 2020) (2020)
van Dongen, B.: BPI Challenge 2017 (2017). https://data.4tu.nl/articles/dataset/BPI/_Challenge/_2017/12696884
Fernández, E., Bogado, V., Salomone, E., Chiotti, O.: Framework for modelling and simulating the supply process monitoring to detect and predict disruptive events. Comput. Ind. 80, 31–42 (2016)
Frank, L., Ulslev Pedersen, R.: Integrated distributed/mobile logistics management. Trans. Large-Scale Data- Knowl.-Center. Syst. 5, 206–221 (2012)
Gilbert, C., Bower, J.L.: Disruptive change: when trying harder is part of the problem. Harvard Bus. Rev. 80, 94–101 (2002)
Janhunen, T., Sioutis, M.: Allen’s Interval Algebra makes the Difference. CoRR abs/1909.01128 (2019)
Little, M.: Transactions and web services. Commun. ACM 46(10), 49–54 (2003)
Maamar, Z., Faci, N., Sakr, S., Boukhebouze, M., Barnawi, A.: Network-based social coordination of business processes. Inf. Syst. 58, 56–74 (2016)
Maamar, Z., Yahya, F., Ben Ammar, L.: On the use of allen’s interval algebra in the coordination of resource consumption by transactional business processes. In: Proceedings of the 17th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2022) (2022)
Object Management Group (OMG): Business Process Model and Notation. https://www.omg.org/spec/BPMN/2.0.2
Paul, S., Sarker, R., Essam, D.: Managing risk and disruption in production-inventory and supply chain systems: a review. J. Ind. Manag. Optim. 12 (2016)
Petzold, N., Landinez, L., Baaken, T.: Disruptive innovation from a process view: a systematic literature review. Innov. Organ. Behav. eJ. 28, 157–174 (2019)
Rania Ben, H., Kallel, K., Gaaloul, W., Maamar, Z., Jmaiel, M.: Toward a correct and optimal time-aware cloud resource allocation to business processes. Fut. Gener. Comput. Syst. 112, 751–766 (2020)
Thorisson, H., Alsultan, M., Hendrickson, D., Polmateer, T., Lambert, J.: Addressing schedule disruptions in business processes of advanced logistics systems. Syst. Eng. 22, 66–79 (2019)
Weske, M.: Business process management architectures. In: Business Process Management. Springer, Heidelberg (2019). https://doi.org/10.1007/978-3-540-73522-9_7
Zhao, W., Pu, S., Jiang, D.: A human resource allocation method for business processes using team faultlines. Appl. Intell. 50(9), 2887–2900 (2020)
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Maamar, Z., Yahya, F., Ben Ammar, L. (2023). An Approach-Based on Allen’s Interval Algebra to Provision Resources for Disrupted Business Processes. In: Kaindl, H., Mannion, M., Maciaszek, L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2022. Communications in Computer and Information Science, vol 1829. Springer, Cham. https://doi.org/10.1007/978-3-031-36597-3_1
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