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
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Zusammenfassung: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 programming models of sales and operations planning process. Then, the performance of the fully integrated fuzzy model is compared to the similar crisp model, in terms of total supply chain’s cost and customer service level. All the models are developed for a multisite manufacturing company, which is coping with different raw material suppliers and third-party logistics, distribution centers and customers with a wide range of product families. Finally, the models are applied to a real case in a FMCG manufacturing company in Iran. The final results approve the superiority of the fuzzy model over the crisp one. Furthermore, a sensitivity analysis is carried out to analyze the effect of some key factors on the benefits of the SC planning integration.
Bibliographie:ObjectType-Article-1
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ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-018-3146-5