Análisis del efecto de algunos factores de complejidad e incertidumbre en el rendimiento de las Cadenas de Suministro. Propuesta de una herramienta de valoración basada en simulación.

Hernández, Coronado; Rafael, Jairo

doi:10.4995/thesis/10251/61467

Cited by 6 publications

(4 citation statements)

References 179 publications

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“…El modelo GMOP (Generic Materials and Operations Planning) fue propuesto por (Coronado Hernández, 2015;Garcia-Sabater et al, 2013; proponen el modelo GMOP (Generic Materials and Operations Planning), como una alternativa para el modelamiento de las relaciones existentes entre los procesos y los materiales necesarios para la elaboración de un producto. A diferencia de la representación de Gozinto, donde la prioridad recae sobre el producto final y sus componentes, este enfoque se centra en la planeación de las operaciones (Strokes) a realizarse para la manufactura, compra o el transporte de un determinado producto o conjunto de éstos.…”

Section: El Modelo De Planificación De Materiales Y Operaciones Genér...unclassified

Computationally Efficient Optimal Solutions to the Lot-Sizing Problem in Multistage Assembly Systems

1984

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The scheduling of lot sizes in multistage production environments is a fundamental problem in many Material Requirements Planning Systems. Many heuristics have been suggested for this problem with varying degrees of success. Research to date on obtaining optimal solutions has been limited to small problems. This paper presents a new formulation of the lot-sizing problem in multistage assembly systems which leads to an effective optimization algorithm for the problem. The problem is reformulated in terms of "echelon stock" which simplifies its decomposition by a Lagrangean relaxation method. A Branch and Bound algorithm which uses the bounds obtained by the relaxation was developed and tested. Computational results are reported on 120 randomly generated problems involving up to 50 items in 15 stages and up to 18 time periods in the planning horizon.MRP systems, lot sizing in MRP systems, multistage assembly systems

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Section: El Modelo De Planificación De Materiales Y Operaciones Genér...unclassified

Computationally Efficient Optimal Solutions to the Lot-Sizing Problem in Multistage Assembly Systems

1984

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“…GMOP is a multisite, multiproduct, multiprocess, multiperiod and multiresource operations planning formulation that includes the operations or stroke decisions. Therefore, this formulation allows the representation of parallel processes, coproducts [69,70], alternative processes [71,72] and other possibilities that are inherent to the use of strokes that make it easier to represent problems than Gozinto-based structures [73]. The stroke decision enables limited environmental resources to be considered and the lowest impact processes and the highest sustainability to be chosen.…”

Section: Proposed Coordination Mechanism With Gmop Formulation To Model Multisite and Multiproduct Operations Planning For The Sustainablmentioning

confidence: 99%

“…The exact resolution of the instances with the 71 periods is ruled out because after 120 h, the gap is still over 29.8%. Therefore, the rolling horizon heuristic procedure is applied to model the problem, which is common in both industry and academic terms [69]. Execution is carried out in the Rigel cluster based on the grid architecture and a multicore PC at the Universitat Politècnica de València with 72 Fujitsu BX920S3 nodes installed in the BX900S2 chassis.…”

Section: Numerical Experimentsmentioning

confidence: 99%

Collaborative Distributed Planning with Asymmetric Information. A Technological Driver for Sustainable Development

et al. 2021

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The growing interest in sustainable development is reflected in both the market’s sensitivity to environmental and social issues and companies’ interest in the opportunities that sustainable development objectives provide. SMEs, which account for most of the world’s pollution, have significant resource constraints for a sustainable development. Sharing their scarce resources can help them to overcome these constraints and to gain agility and organisational resilience against uncertainties, but the distrust inherent in belonging to different companies prevents them from sharing the necessary information for coordination purposes. This paper presents a coordination mechanism proposal with information asymmetry to allow independent companies’ resources to be sustainably shared as a technological driver. The proposed distributed coordination mechanism is compared to both a decentralised–uncoordinated and a centralised situation. The interest of the proposal is evaluated by a computer simulation experiment employing mathematical programming models with independent objectives in the Generic Materials and Operations Planning formulation with a rolling horizon procedure in different demand, uncertainty and product scenarios. Competitive improvement is identified for all members for their excess capacity use and their operations planning.

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“…The purchasing strokes are shaded squares that do not use resources. Different product structures can be seen according toCoronado-Hernández (2016) to which the P6 configuration is added. The final product of P6 can be made by stroke one or by the stroke six.…”

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confidence: 99%

Operations planning test bed under rolling horizons, multiproduct, multiechelon, multiprocess for capacitated production planning modelling with strokes

Rius-Sorolla

Maheut

Miguel

et al. 2020

Cent Eur J Oper Res

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One of the problems when conducting research in mathematical programming models for operations planning is having an adequate database of experiments that can be used to verify advances and developments with enough factors to understand different consequences. This paper presents a test bed generator and instances database for a rolling horizons analysis for multiechelon planning, multiproduct with alternatives processes, multistroke, multicapacity with different stochastic demand patterns to be used with a stroke-like bill of materials considering production costs, setup, storage and delays for operations management. From the analysis of the operations planning obtained from this test bed, it is concluded that a product structure with an alternative process obtains the lowest total cost and the highest service level. In addition, decreasing seasonal demand could present a lower total cost than constant demand, but would generate a worse service level. This test bed will allow researchers further investigation so as to verify improvements in forecast methods, rolling horizons parameters, employed software, etc.

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Análisis del efecto de algunos factores de complejidad e incertidumbre en el rendimiento de las Cadenas de Suministro. Propuesta de una herramienta de valoración basada en simulación.

Abstract: Análisis del efecto de algunos factores de complejidad e incertidumbre en el rendimiento de las Cadenas de Suministro. Propuesta de una herramienta de valoración basada en simulación 6

Cited by 6 publications

References 179 publications

Computationally Efficient Optimal Solutions to the Lot-Sizing Problem in Multistage Assembly Systems

Computationally Efficient Optimal Solutions to the Lot-Sizing Problem in Multistage Assembly Systems

Collaborative Distributed Planning with Asymmetric Information. A Technological Driver for Sustainable Development

Operations planning test bed under rolling horizons, multiproduct, multiechelon, multiprocess for capacitated production planning modelling with strokes

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