Due Date-Related Order Prioritization for Scheduling with Decision Support in Dynamic Environments - Artificial Intelligence for Sustainable and Resilient Production Systems PART IV, IFIP WG 5.7 International Conference, APMS 2021 Access content directly
Conference Papers Year : 2021

Due Date-Related Order Prioritization for Scheduling with Decision Support in Dynamic Environments

Abstract

With the recent and ongoing pursuits to introduce digitalization to corporate shop floors, decision support systems (DSS) for improved task distribution also gain importance. These systems aim to achieve higher effectiveness, efficiency as well as satisfaction of factory staff. However, the necessary implementations and standards for the successful introduction of DSS are not yet available for every given production environment. In this paper, an approach developed by the Department of Factory Planning and Intra Logistics to introduce decision support in dynamic production environments is presented. The concept allows workers to easily identify orders and tasks of high priority in a complex and highly dynamic environment, to meet the assigned due dates, and to increase customer satisfaction. The proposed concept considers priority-relevant parameters, derives priorities for incoming and pending orders dynamically in real-time, and allows to feed the priority values into a DSS for scheduling orders and their related tasks. The concept can be implemented as a standalone module to production environments as well as being integrated into existing scheduling systems.
Fichier principal
Vignette du fichier
509923_1_En_25_Chapter.pdf (312.05 Ko) Télécharger le fichier
Origin : Explicit agreement for this submission

Dates and versions

hal-04030397 , version 1 (16-03-2023)

Licence

Attribution

Identifiers

Cite

Michael Bojko, Susanne Franke, Luigi Pelliccia, Ralph Riedel. Due Date-Related Order Prioritization for Scheduling with Decision Support in Dynamic Environments. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.239-248, ⟨10.1007/978-3-030-85874-2_25⟩. ⟨hal-04030397⟩
9 View
7 Download

Altmetric

Share

Gmail Facebook X LinkedIn More