Robust optimization and mixed-integer linear programming model for LNG supply chain planning problem

2019 ◽  
Vol 24 (11) ◽  
pp. 7885-7905 ◽  
Author(s):  
Arun Kumar Sangaiah ◽  
Erfan Babaee Tirkolaee ◽  
Alireza Goli ◽  
Saeed Dehnavi-Arani
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Robust Optimization ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Planning Problem ◽  
Integer Linear Programming Model

Mixed Integer Linear Programming Model for Optimizing Batik Palembang Supply Chain Network

2018 ◽  
Vol 24 (11) ◽  
pp. 8422-8426 ◽  
Author(s):  
Muhammad Izman Herdiansyah ◽  
Hasmawati ◽  
Dedi Syamsuar ◽  
Ahmad Fauzi Ismail
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Supply Chain Network ◽  
Integer Linear Programming Model

scholarly journals A Dynamic Multi-Period, Mixed-Integer Linear Programming Model for Cost Minimization of a Three-Echelon, Multi-Site and Multi-Product Construction Supply Chain

Logistics ◽  
2020 ◽  
Vol 4 (3) ◽  
pp. 19
Author(s):  
Aspasia Koutsokosta ◽  
Stefanos Katsavounis
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Strategic Alliances ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Cost Minimization ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Integer Linear Programming Model

Quantifying the benefits of construction supply chain management through prescriptive models is a challenging and fast-growing research area that still lacks standardized optimization models with full integrative potential. In response to the needs and the peculiarities of the construction industry, this paper proposes an innovative model that merges temporal and project-based supply chains into a sustainable network with repetitive flows, large scope contracts, strategic alliances and economies of scale. It is a dynamic mixed-integer linear programming model for cost minimization of a three-echelon supply chain serving multiple sites with multiple products over a time horizon. Its novelty lies in yielding optimal decisions on network design, product quantities to be purchased and transported, shipments and inventory levels in all echelons under any logistics system in a multi-period, multi-product and multi-project environment with discount schemes and strategic preferences. The model is general enough to be implemented by any general contractor acting as a system integrator but also allows customization with logical constraints. All these features constitute an innovative, versatile and flexible managerial decision making tool. Model implementation is based on a spreadsheet optimization software and is followed by post-solution analysis, sensitivity analysis and multiple parameterized optimizations.

scholarly journals Mixed Integer Linear Programming model for Crude Palm Oil Supply Chain Planning

2018 ◽  
Vol 300 ◽  
pp. 012015 ◽  
Author(s):  
Pasukat Sembiring ◽  
Herman Mawengkang ◽  
Hendaru Sadyadharma ◽  
F. Bu’ulolo ◽  
Fajriana
Keyword(s):  
Linear Programming ◽  
Supply Chain ◽  
Integer Linear Programming ◽  
Palm Oil ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Crude Palm Oil ◽  
Integer Linear Programming Model

scholarly journals A mixed integer linear programming model applied in barge planning for Omya

2015 ◽  
Vol 2 ◽  
pp. 150-155 ◽  
Author(s):  
David Bredström ◽  
Kjetil Haugen ◽  
Asmund Olstad ◽  
Jan Novotný
Keyword(s):  
Linear Programming ◽  
Integer Linear Programming ◽  
Mixed Integer Linear Programming ◽  
Programming Model ◽  
Linear Programming Model ◽  
Mixed Integer ◽  
Integer Linear Programming Model
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