EconPapers    
Economics at your fingertips  
 

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

Gregorio Rius-Sorolla (), Julien Maheut (), Sofia Estelles-Miguel () and Jose P. Garcia-Sabater ()
Additional contact information
Gregorio Rius-Sorolla: Departmento de Organización de Empresas, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
Julien Maheut: Departmento de Organización de Empresas, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
Sofia Estelles-Miguel: Departmento de Organización de Empresas, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
Jose P. Garcia-Sabater: Departmento de Organización de Empresas, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain

Sustainability, 2021, vol. 13, issue 12, 1-23

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.

Keywords: supply chain planning; sustainability; lagrangian relaxation; resources sharing; collaborative planning; mathematical programming (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/12/6628/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/12/6628/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:12:p:6628-:d:572469

Access Statistics for this article

Sustainability is currently edited by Ms. Hayley Chen

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2022-05-13
Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6628-:d:572469