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

Authors: Rius-Sorolla, Gregorio; Maheut, Julien; Estelles Miguel, Sofia; García Sabater, José Pedro;

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

Abstract

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.

Country
Spain
Related Organizations
Keywords

Resources sharing, Collaborative planning, 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación, TJ807-830, TD194-195, Renewable energy sources, 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades, GE1-350, supply chain planning, supply chain planning; sustainability; lagrangian relaxation; resources sharing; collaborative planning; mathematical programming, lagrangian relaxation, resources sharing, Lagrangian relaxation, Environmental effects of industries and plants, Supply chain planning, Mathematical programming, sustainability, Environmental sciences, 12.- Garantizar las pautas de consumo y de producción sostenibles, 08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos, Sustainability, ORGANIZACION DE EMPRESAS, collaborative planning, mathematical programming

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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5
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52
90
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