Supply chain planning and scheduling integration using Lagrangian decomposition in a knowledge management environment-Reference-Cited by-同舟云学术

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Supply chain planning and scheduling integration using Lagrangian decomposition in a knowledge management environment

Published:2015-01 Issue: Volume:72 Page:52-67
ISSN:0098-1354
Container-title:Computers & Chemical Engineering
language:en
Short-container-title:Computers & Chemical Engineering

Author:

Muñoz Edrisi,Capón-García Elisabet,Laínez-Aguirre José M.,Espuña Antonio,Puigjaner Luis

Funder

Centro de Investigación en Matemáticas A. C.

Unidad Zacatecas, México

Publisher

Elsevier BV

Subject

Computer Science Applications,General Chemical Engineering

Reference27 articles.

1. Hybrid bilevel-Lagrangian decomposition scheme for the integration of planning and scheduling of a network of batch plants;Calfa;Ind Eng Chem Res,2013

2. Lagrangean-based techniques for the supply chain management of flexible process networks;Chen;Comput Chem Eng,2008

3. A simple new continuous-time formulation for short-term scheduling of multipurpose batch processes;Giannelos;Ind Eng Chem Res,2002

4. Overview of planning and scheduling for enterprise-wide optimization of process industries;Grossmann;At-automatisierungstechnik,2008

5. Advances in mathematical programming models for enterprise-wide optimization;Grossmann;Comput Chem Eng,2012

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1. Integrated knowledge management in the supply chain: Assessment of knowledge adoption solutions through a comprehensive CoCoSo method under uncertainty;Journal of Industrial Information Integration;2024-05

2. Motivational Factors Affecting Knowledge Sharing in Steel Industry Supply Chain: A Mixed Qualitative-Quantitative Method Analysis;Journal of the Knowledge Economy;2023-05-03

3. Proposing a hybrid fuzzy model to consider knowledge management challenges in supply chain: case study;International Journal of Knowledge Management Studies;2023

4. Time to be responsive in the process industry: a literature-based analysis of trends of change, solutions and challenges;Production Planning & Control;2021-07-05

5. A hybrid framework for ranking the knowledge management solutions adoption in supply chains;VINE Journal of Information and Knowledge Management Systems;2019-10-14

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