Ensuring Traceability and Orchestration in the Food Supply Chain

Mejía, Mauricio Espinoza; Saquicela, Víctor; Abril-Ulloa, Victoria

doi:10.1007/978-3-030-68080-0_10

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…In general, some supply chains, such as food supply chains in smart factories, involve new production processes. In this case, the de nition of the new algorithms in order to control a product all over the supply chain [27] is necessary. Thus, this paper proposed a new architecture of uBPMS that can handle uncertain process management through bi-level optimization.…”

Section: Discussion and Managerial Implicationsmentioning

confidence: 99%

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The role of bi-level uncertain architecture inward smart manufacturing: Process orchestration

Saraeian

Shirazi

2023

Scientia Iranica

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Smart manufacturing in the context of a smart factory is allowed through di erent uncertain processes, which creates signi cant challenges. In this case, smart manufacturing should be applied reliably, interoperably, and consistently. Thus, it faces the requirement of orchestrating services provided by uncertain processes to satisfy the challenges. These uncertain processes are commonly managed by an uncertain Business Process Management System (uBPMS), which is speci cally designed to address unknown conditions. The current uBPMS architecture does not consider business process orchestration, and the objective of this paper is to achieve an extension of uBPMS architecture with a business process orchestration feature to make a response in real time and satisfy the uncertainty conditions in a smart factory. The proposed extension can perform autonomous orchestration of business processes inward traditional uBPMS architecture based on desired values of di erent objectives optimization. This new architecture operates based on a robust bi-level optimization approach. The Rousselot smart factory in Belgium as a simulated case study was studied. The results show the robustness of the new architecture for process orchestration design in this case. Also, uncertain business process management based on the process orchestration feature presents e ciency and accuracy improvement in smart manufacturing systems.

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Section: Discussion and Managerial Implicationsmentioning

confidence: 99%

“…Smart manufacturing acts as an adaptive manufacturing system. In these systems, changes in production, supply chain, and customer requirements should be considered [27]. Thus, the uncertain version of BPMS should be applied to manage uncertainty.…”

Section: Discussionmentioning

confidence: 99%