Production Planning and Control Model to Increase On-Time Deliveries Through Demand-Driven MRP and PDCA in a Make-to-Order Environment of Non-primary Manufacturing Industry

Franco-Quispe, Daeli; Yauri-Tito, Diana; Cabel-Pozo, Jhonatan; Raymundo, Carlos

doi:10.1007/978-3-030-85540-6_155

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…The first one is the comparison of DDMRP to other traditional methods such as MRP and Kanban. A series of studies have thus proven the relevance of the DDMRP: a better compromise between stock level and service rate, customer order spike anticipation, dynamic adjustment of buffer sizing, and the ability to work in highly variable environments (Franco-Quispe, Yauri-Tito, Cabel-Pozo & Raymundo, 2022;Ihme & Stratton, 2015;Kortabarria, Apaolaza, Lizarralde & Amorrortu, 2018;Miclo, Lauras, Fontanili, Lamothe & Melnyk, 2019;Shofa & Widyarto, 2017;Thürer, Fernandes & Stevenson, 2022). The second topic is the study and improvement of the method itself.…”

Section: Publications About Ddmrpmentioning

confidence: 99%

Analysis of a new dynamic capacity management approach in DDMRP: Application on a real industrial case

Dessevre,

Benali

2024

JIEM

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Purpose: Although the authors of the Demand Driven Material Requirements Planning (DDMRP) argue that the method DDMRP is the solution to the limitations of traditional production management methods, its capacity management system remains unclear. Since DDMRP operates at infinite capacity, it is important to consider a capacity management approach to avoid under- or overloading production workshops.Design/methodology/approach: We propose a new dynamic capacity management approach for the DDMRP method. Our approach is based on the calculation of the anticipated workload, using DDMRP stock buffers and considering customer order spikes. Considering a real industrial case, we compare the proposed approach to a static one and a dynamic approach from the literature.Findings: The analysis of the results, supported by a two-way ANOVA, indicates that the proposed capacity management approach outperforms the performance of the other two approaches by maximizing the resource loading rate while ensuring a high customer service level.Originality/value: The originality of the article comes on the one hand from the capacity adjustment module by calculating the anticipated workload, and on the other hand from the comparison of this approach with two others, one of which comes from the literature.

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Section: Publications About Ddmrpmentioning

confidence: 99%

Analysis of a new dynamic capacity management approach in DDMRP: Application on a real industrial case

Dessevre,

Benali

2024

JIEM

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“…Production settings have become less predictable and more variable; consequently, delivery time and a high rate of client satisfaction have become essential in this new context. The Production Planning and Control (PPC) processes have to be integrated with the objectives of the manufacturers (Quispe et al 2022). The supply chain's risks are considered a substantial obstacle to achieving the current supply chain management processes successfully.…”

Section: Planning and Production Controlmentioning

confidence: 99%

Production Model to increase OEE through the application of Lean Manufacturing and Total Production Maintenance tools in animal feed manufacturing SMEs

Proceedings of the International Conference on Industrial Engineering and Operations Management

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This research proposes a production model capable of increasing the Overall Equipment Effectiveness (OEE) using the methodology Lean Manufacturing and TPM. The case study is a company in the livestock industry where the 4 phases of the model were implemented. The first phase is the implementation of the Poka-Yoke tool. Then follows the implementation of the MRP. After that, the implementation of a preventive maintenance plan, and the last phase is implementing the 5S tool. After validation in the Arena software and the simulation of the implemented production model, it is shown that the OEE indicator increases by 15.69%, managing to achieve a productivity improvement.

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Production Planning and Control Model to Increase On-Time Deliveries Through Demand-Driven MRP and PDCA in a Make-to-Order Environment of Non-primary Manufacturing Industry

Cited by 2 publications

References 8 publications

Analysis of a new dynamic capacity management approach in DDMRP: Application on a real industrial case

Analysis of a new dynamic capacity management approach in DDMRP: Application on a real industrial case

Production Model to increase OEE through the application of Lean Manufacturing and Total Production Maintenance tools in animal feed manufacturing SMEs

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