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Bimodal inventory distribution (Ptak & Smith, 2016, p. 11).

Bimodal inventory distribution (Ptak & Smith, 2016, p. 11).

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p class="TtuloAbstract">Since the creation of the demand-driven material requirement planning (DDMRP) model, numerous studies have analysed the methodology’s significant impact on different organisations. Several successful cases and research studies into DDMRP have demonstrated that the methodology is beneficial to organisations because it increas...

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Context 1
... a company uses a traditional production planning and control system, their inventory level has a bimodal distribution that alternates from too high to too low. This change in distribution results in a high-cost inventory level and a low service level (Figure 2) (Ptak & Smith, 2016). To respond to this problem, Ptak and Smith (2016) introduced a new methodology known as DDMRP. ...

Citations

... However, there are still many issues to be addressed scientifically, while more and more companies are developing DDMRP in many industrial sectors (Bahu, Bironneau, and Hovelaque 2019). Therefore, researchers aim to study the method in more complex environments (Acosta et al. 2019), raising new questioning from particular industrial sectors (Dessevre et al. 2020), and bringing the need of a standardised implementation process for the method DDMRP (Orue, Lizarralde, and Kortabarria 2020). ...
Article
Demand Driven Material Requirements Planning (DDMRP) is a recent method mixing push and pull flow management. Although it claims to be the solution to traditional methods’ limitations, the DDMRP method works at infinite capacity: manufacturing or supply orders are launched according to a logic of replenishment of stocks defined as buffers. This article proposes an evaluation of capacity management using visual charts developed by simulation. These charts correlate the bottleneck resource's loading rate to a service rate by considering one of the DDMRP method parameters, the Decoupled Lead Time (DLT). The charts are a decision support tool. They allow identifying to which loading rate the DLTs are representative of the flow times of manufacturing orders and which capacity level to use. We study different workshops, including a real industrial case. Our results show that it is better to control the flow times by adjusting capacity rather than adjust the DLT parameter.
... • Implementation methodology used: Implementation guidelines or methodologies have not yet been addressed in the literature. Indeed, Orue et al. (2020) presented a systematic literature review to analyze studies that investigate the standardization of the implementation process of the DDMRP model. They have found no evidence of a standardized implementation process for DDMRP that could maximize its potential. ...
... Some authors only provide an explanation or an illustration of the method (Román-Cuadra, 2017;Bahu et al., 2018;Bahu et al., 2019;Erraoui, Charkaoui & Echchatbi, 2019;Favaretto & Marin, 2018;Garzón Hernández, 2018;Marin, 2018;Meinzel, 2019;Pekarčíková, Trebuňa, Kliment & Trojan, 2019). Note as well that only one systematic literature review paper has been published(Orue, Lizarralde & Kortabarria, 2020) and one traditional literature review(Balcioglu & Tanyas, 2019). We also note that there is a lack of work-oriented development of the method itself.Conclusion-Component 1: The DDMRP method has still not reached a significant publication level in the scientific literature, but it has emerged in different languages and has evolved and been used in different countries and organizations.It is surprising to note that even though the DDMRP method originated in the United States, we do not find many papers published in its country of origin. ...
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Purpose: Demand Driven Material Requirements Planning (DDMRP) aims to deal with variability by adjusting inventory levels while maintaining, or even increasing, customer service levels. This approach bridges the push and pull approaches. Even though it first made its appearance in 2011, research in this field remains relatively limited. This paper aims to measure the spatiotemporal evolution of the DDMRP, its scope and context of implementation, and the research lines studied in that field in order to identify areas that still need to be addressed by future researchers. Design/methodology/approach: The systematic literature review approach adopted in this paper examines research dealing with the DDMRP approach published in different languages between 2009 and 2020. To-date papers focused on the performance analysis and comparison, what differentiates this study is the focus on the scientific evolution level of DDMRP, the parameters, and contexts that should be more studied. Findings: The results show that DDMRP is not yet a mature method and that the robustness of the approach still needs to be tested. More research is also required to determine scientifically some setting parameters, how the proposed DDMRP could be implemented in different industrial contexts with existing information systems. Originality/value: Based on the evolution analysis of DDMRP, this study outlines its current state of maturity and its different shortcomings under a broader vision to make this method more complete on the scientific and industrial level.