A fuzzy bi-objective MILP approach to integrate sales, production, distribution and procurement planning in a FMCG supply chain

Sales and operations are the heart of today’s businesses, and the decisions made in these areas will intensively affect the financial performance, operational efficiency and service level of the whole organization. This manuscript is going to develop three multiobjective fuzzy mixed integer linear p...

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Veröffentlicht in:	Soft computing (Berlin, Germany) Jg. 23; H. 13; S. 4871 - 4890
Hauptverfasser:	Nemati, Yaser, Alavidoost, Mohammad Hosein
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Springer Berlin Heidelberg 01.07.2019 Springer Nature B.V
Schlagworte:	Artificial Intelligence Case studies Computational Intelligence Control Customer services Dairy industry Decision making Distribution centers Distribution costs Engineering Fast moving consumer goods Integer programming Inventory Linear programming Literature reviews Logistics management Manufacturing Mathematical Logic and Foundations Mechatronics Methodologies and Application Mixed integer Production planning Raw materials Robotics Sales Sales and operations planning Scheduling Sensitivity analysis Supply chain management Supply chains Real-world case study Fuzzy mixed integer linear programming MILP Multiobjective modeling FMCG industry Sales and operations planning (S&OP)
ISSN:	1432-7643, 1433-7479
Online-Zugang:	Volltext
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