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Abstract
Material requirements planning (MRP) is one of the main production planning approaches implemented in enterprise resource planning systems, and one that is broadly applied in practice. Since customers' demands evolve over time, the MRP method is usually applied in a rolling horizon planning, in which a safety stock and a planned lead time is usually employed to reduce the negative effects of uncertainty components in the production system or in the customers' demands. Considering uncertainty conditions in a rolling horizon planning leads to additional difficulties in determining the optimal planning parameters. In this paper, a multi-stage and multi-item production system is simulated by considering random customers' demands and other sources of uncertainty. With the goal of minimizing the sum of inventory and backorder costs, a simheuristic algorithm is proposed and tested.
Original language | English |
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Title of host publication | 2021 Winter Simulation Conference, WSC 2021 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-12 |
Number of pages | 12 |
ISBN (Electronic) | 9781665433112 |
DOIs | |
Publication status | Published - 2021 |
Event | 2021 Winter Simulation Conference, WSC 2021 - Phoenix, United States Duration: 12 Dec 2021 → 15 Dec 2021 |
Publication series
Name | Proceedings - Winter Simulation Conference |
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Volume | 2021-December |
ISSN (Print) | 0891-7736 |
Conference
Conference | 2021 Winter Simulation Conference, WSC 2021 |
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Country/Territory | United States |
City | Phoenix |
Period | 12.12.2021 → 15.12.2021 |
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Dive into the research topics of 'Applying Simheuristics for Safety Stock and Planned Lead Time Optimization in a Rolling Horizon MRP System under Uncertainty'. Together they form a unique fingerprint.Activities
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2021 Winter Simulation Conference, WSC 2021
Seiringer, W. (Participant)
2021Activity: Participating in or organising an event › Participating in a conference, workshop, ...