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      Analysis of a support method for offering delivery promises in environments managed by S-DBR system

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          Abstract

          Abstract Paper aims The objective of this paper is to investigate the effectiveness of a method, here denominated the due date promise by slack time rule (DDPSTR), to evaluate its feasibility and effectiveness for accepting urgent orders in make-to-order (MTO) environments managed by the Simplified Drum-Buffer-Rope (S-DBR) system. Originality Evaluating alternative methods for dealing with urgent orders in MTO environments managed and controlled by the S-DBR system is a subject that has received little attention from academia. This study contributes to the field of knowledge by identifying and comparing three alternatives. Research method To evaluate its feasibility and effectiveness, the DDPSTR was compared with variations of a method based on prior reserve capacity when dealing with regular and urgent orders. Computer simulation was used to model a theoretical production line that emulated the S-DBR system in different scenarios, using average delay and percentage of late orders as performance indicators. Main findings The DDPSTR method achieved optimal results for both indicators, enabling reliable delivery dates and, at the same time, flexibility in accepting urgent orders. Implications for theory and practice This work has verified the effectiveness of the DDPSTR method as a means of dealing with urgent orders without compromising the reliability of previously promised order deadlines. It has additionally proposed the means by which future research can evaluate adaptations, such as offering the shortest feasible delivery times to customers when those initially requested by them prove unworkable.

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          Most cited references46

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          DEVELOPING THEORY THROUGH SIMULATION METHODS.

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            Operations management research methodologies using quantitative modeling

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              A review of production planning and control: the applicability of key concepts to the make-to-order industry

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                Author and article information

                Journal
                prod
                Production
                Prod.
                Associação Brasileira de Engenharia de Produção (São Paulo, SP, Brazil )
                0103-6513
                1980-5411
                2023
                : 33
                : e20230023
                Affiliations
                [01] Bauru São Paulo orgnameUniversidade Estadual Paulista Brazil
                [02] Bauru SP orgnameCentro Universitário Sagrado Coração Brasil
                Article
                S0103-65132023000100220 S0103-6513(23)03300000220
                10.1590/0103-6513.20230023
                87031363-275d-44fb-ac4d-07c0cc1283c6

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 01 April 2023
                : 19 September 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 47, Pages: 0
                Product

                SciELO Brazil

                Categories
                Research Article

                Production planning and control,Simulation,Make to order,Theory of Constraints

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