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Developing a Decision Support System for Integrated Decision-Making in Purchasing and Scheduling under Lead Time Uncertainty

  • Decision-making in supply chain management is complex because of the relations between planning tasks from different stages and planning levels. Uncertainties such as unpredictable supplier lead times and supply chain disruptions further complicate decision-making. Considering the case study of a company in printed circuit board assembly, a three-level concept is proposed that includes a decision support system. The global single-source supply network is characterized by highly variable lead times. Hence, the company maintains high inventory levels to prevent running out of stock. The decision support system considers the purchasing and scheduling decision problems in an integrated way. The prototypical implementation of the purchasing algorithm uses a genetic algorithm that recommends reorder days and order quantities using a simulation model. In addition, it evaluates the risks of the recommended solution by calculating the probability of stockouts for each order cycle.

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Metadaten
Author:Benjamin Rolf, Tobias Reggelin, Sebastian Lang, Stefan GalkaGND
Handle:http://hdl.handle.net/10125/79579
DOI:https://doi.org/10.24251/HICSS.2022.247
Parent Title (German):Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS55): January 3-7, 2022, Maui, Hawaii, USA
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2022
Release Date:2022/06/07
Tag:Industry 4.0; cyber-physical system; decision support system; purchasing; simulation; supply chain optimization,
Volume:2022
First Page:1964
Last Page:1973
Institutes:Fakultät Maschinenbau
Begutachtungsstatus:peer-reviewed
research focus:Produktion und Systeme
OpenAccess Publikationsweg:Diamond Open Access - OA-Veröffentlichung ohne Publikationskosten (Sponsoring)
Licence (German):Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International