Production planning and control in multi-stage assembly systems: an assessment of Kanban, MRP, OPT (DBR) and DDMRP by simulation-Reference-Cited by-同舟云学术

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Production planning and control in multi-stage assembly systems: an assessment of Kanban, MRP, OPT (DBR) and DDMRP by simulation

Published:2020-12-02 Issue: Volume: Page:1-15
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Thürer Matthias¹,Fernandes Nuno O.²³^ORCID,Stevenson Mark⁴^ORCID

Affiliation:

1. School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai, People’s Republic of China

2. Instituto Politécnico de Castelo Branco, Castelo Branco, Portugal

3. ALGORITMI Research Unit, University of Minho, Braga, Portugal

4. Department of Management Science, Lancaster University Management School, Lancaster University, Lancaster, UK

Funder

National Natural Science Foundation of China

Fundação para a Ciência e Tecnologia

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2020.1849847

Reference59 articles.

1. Applicability of Demand-Driven MRP in a complex manufacturing environment

2. NERJIT: Using Net Requirement Data in Kanban-Controlled Jumbled-Flow Shops

3. On the who-rule in Dual Resource Constrained (DRC) manufacturing systems

4. The impact of free goods on the performance of drum-buffer-rope scheduling systems

5. Protective capacity positioning: Impact on manufacturing cell performance

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1. Synergizing ChatGPT and experiential learning: unravelling TOC based production planning and control variants through the dice game;International Journal of Production Research;2024-07-02

2. Optimizing the strategic and operational levels of demand-driven MRP using a hybrid GA-PSO algorithm;Computers & Industrial Engineering;2024-07

3. DDMRP relative priority for production execution: an assessment by simulation;Operations Management Research;2024-06-21

4. A first optimization approach to parameterize demand-driven MRP in the presence of multiple products and finite capacity;Flexible Services and Manufacturing Journal;2024-06-04

5. Analysis of a new dynamic capacity management approach in DDMRP: Application on a real industrial case;Journal of Industrial Engineering and Management;2024-05-27

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