Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning and Control on 23/03/2020, available online: https://www.tandfonline.com/doi/abs/10.1080/09537287.2020.1742398
Accepted author manuscript, 558 KB, PDF document
Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License
Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
<mark>Journal publication date</mark> | 23/03/2020 |
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<mark>Journal</mark> | Production Planning and Control |
Volume | 32 |
Number of pages | 15 |
Publication Status | E-pub ahead of print |
Early online date | 23/03/20 |
<mark>Original language</mark> | English |
There exists a large literature on well-known Production Control Systems (PCS) such as Kanban, Constant Work-In-Process (CONWIP), Material Requirements Planning (MRP) and Paired Cell Overlapping Loops of Cards with Authorisation (POLCA). However, there are also many new systems that have emerged in the last 20 years. These systems are less well known, and no systematic review exists. Through a systematic literature review, 13 PCS’s were identified, such as COBACABANA, REDUTEX, BK-CONWIP and B-CONWIP. For each system, we describe its characteristics, how they work and in what productive environments it proves useful. A cross-comparison of the 13 systems was then conducted using seven variables: primary control variable (WIP or throughput), degree of centralisation, material flow (productive environment), whether it was introduced as card-based, types of authorizations, number of articles published and type of articles published (theoretical or empirical). Most new PCS’s (7 out of 13) show characteristics that are similar to Kanban, CONWIP and POLCA: they are decentralised, card-based and use WIP as primary control variable. This may be a result of the strong influence of Lean Manufacturing paradigms Meanwhile, there is a general lack of empirical studies, being 11 PCS’s developed from mathematical simulations.