Supply chain management through the stochastic goal programming model

2015 ◽  
Vol 251 (1-2) ◽  
pp. 351-365 ◽  
Author(s):  
Alireza Azimian ◽  
Belaid Aouni
2016 ◽  
Vol 3 (6) ◽  
pp. 1447-1459 ◽  
Author(s):  
Serkan Erbis ◽  
Sagar Kamarthi ◽  
Amir Abdollahi Namin ◽  
Ali Hakimian ◽  
Jacqueline A. Isaacs

A stochastic goal programming model is developed to aid decision making for CNT-enabled lithium-ion battery manufacturing production and capacity expansion, by considering the balance among economic growth, environmental and human health protection, and sustainability.


2012 ◽  
Vol 19 (5-6) ◽  
pp. 185-200 ◽  
Author(s):  
Belaid Aouni ◽  
Fouad Ben Abdelaziz ◽  
Davide La Torre

2016 ◽  
Vol 17 (3) ◽  
pp. 789-805 ◽  
Author(s):  
Raja Jayaraman ◽  
Cinzia Colapinto ◽  
Danilo Liuzzi ◽  
Davide La Torre

2019 ◽  
Vol 1 (2) ◽  
pp. 1-8
Author(s):  
M.M. HARIS ASLAM ◽  
KAMRAN RASHID ◽  
TASHFEEN M. AZHAR

Supply chain management and optimization is a critical aspect of modern enterprises and an expanding area of research. Modeling and optimization are the traditional tools of supply chain management. The techniques have been used by many companies for planning, manufacturing, and other decision areas in supply chains. Current study is motivated by the fact that optimization studies in supply chain management have mostly considered network optimization. Supply chain management however, requires alignment between the supply chain partners at the tactical level. As a first step towards achieving this goal, current study presents a model that incorporates the activity level planning at the focal firm in a supply chain. This paper presents a new mixed integer programming model that incorporates optimization of production planning at the focal firm while optimizing the strategic alignment of the supply chain entities. The model represents a four step, multi-echelon supply chain including supplier, warehouse, manufacturer, and retailer. The manufacturer in this network represents the focal firm. This model is an attempt to integrate the production planning decisions in the network optimization decisions.


2019 ◽  
Vol 76 (2) ◽  
pp. 333-346 ◽  
Author(s):  
Francisco Salas-Molina ◽  
Juan A. Rodriguez-Aguilar ◽  
David Pla-Santamaria

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