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An Integrated Production-Distribution Planning Problem under Demand and Production Capacity Uncertainties: New Formulation and Case Study
Joint Authors
Ben Abid, Taycir
Ayadi, Omar
Masmoudi, Faouzi
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-13
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
In this study, we propose to solve a biobjective tactical integrated production-distribution planning problem for a multisite, multiperiod, multiproduct, sea-air intermodal supply chain network under uncertainties.
Two random parameters are considered simultaneously: product replenishment orders and production capacity, which are modelled via a finite set of scenarios, using a two-stage stochastic approach.
A corresponding mathematical model is developed, coded, and solved using the LINGO 18.0 software optimisation tool.
This model aims to simultaneously minimise the total costs of production in both regular and overtime, inventory, distribution, and backordering activities and maximise the customer satisfaction level over the tactical planning horizon.
The AUGMECON technique is applied to handle with the multiobjective optimisation.
The applicability and the performance of the proposed model are tested through a real-life case study inspired from a medium-sized Tunisian textile and apparel company.
Sensitivity analysis on stochastic parameters and managerial insights for the studied supply chain network are argued based on the empirical findings.
American Psychological Association (APA)
Ben Abid, Taycir& Ayadi, Omar& Masmoudi, Faouzi. 2020. An Integrated Production-Distribution Planning Problem under Demand and Production Capacity Uncertainties: New Formulation and Case Study. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1193296
Modern Language Association (MLA)
Ben Abid, Taycir…[et al.]. An Integrated Production-Distribution Planning Problem under Demand and Production Capacity Uncertainties: New Formulation and Case Study. Mathematical Problems in Engineering No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1193296
American Medical Association (AMA)
Ben Abid, Taycir& Ayadi, Omar& Masmoudi, Faouzi. An Integrated Production-Distribution Planning Problem under Demand and Production Capacity Uncertainties: New Formulation and Case Study. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1193296
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1193296