scholarly journals Stochastic inventory management for tactical process planning under uncertainties: MINLP models and algorithms

AIChE Journal ◽  
2010 ◽  
Vol 57 (5) ◽  
pp. 1250-1277 ◽  
Author(s):  
Fengqi You ◽  
Ignacio E. Grossmann
Keyword(s):  
Inventory Management ◽  
Process Planning ◽  
Stochastic Inventory ◽  
Minlp Models

scholarly journals Stochastic inventory management at a service facility with a set of reorder levels

ORiON ◽  
2007 ◽  
Vol 23 (2) ◽  
Author(s):  
VSS Yadavalli ◽  
B Sivakumar ◽  
G Arivarignan
Keyword(s):  
Inventory Management ◽  
Service Facility ◽  
Stochastic Inventory

scholarly journals Dynamic Stochastic Inventory Management with Reference Price Effects

2016 ◽  
Vol 64 (6) ◽  
pp. 1529-1536 ◽  
Author(s):  
Xin Chen ◽  
Peng Hu ◽  
Stephen Shum ◽  
Yuhan Zhang
Keyword(s):  
Inventory Management ◽  
Reference Price ◽  
Stochastic Inventory ◽  
Price Effects ◽  
Dynamic Stochastic

scholarly journals Modeling the Hidden Risk of Polyethylene Contaminants within the Supply Chain

2021 ◽  
Author(s):  
Gladys Bonilla-Enríquez ◽  
Patricia Cano-Olivos ◽  
José-Luis Martínez-Flores ◽  
Diana Sánchez-Partida ◽  
Santiago-Omar Caballero-Morales
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Control Model ◽  
Service Industries ◽  
Health Conditions ◽  
Stochastic Inventory ◽  
Human Risk ◽  
Stochastic Inventory Control ◽  
Inventory Control Model ◽  
Environment Sustainability

Inventory management is very important to support the supply chain of the manufacturing and service industries. All inventories involve warehousing; however, most of the products and packages are associated to plastic which is the main generator of polyethylene (phthalate) pollution in the air and water resources. In fact, phthalate has been identified as the cause of serious health conditions and its impact within the operation of logistic processes has not been studied. In this work, we perform research on the generation of phthalate as the control on these emissions is important to adjust the supply strategy to reduce the human risk exposure and contamination of the environment. For this purpose, generation of phthalate is modeled through the use of artificial neural networks (ANNs) and its impact on the supply strategy is assessed through its integration within a stochastic inventory control model. As presented, it is possible to adjust the supply strategy to reduce the cumulative generation of phthalate within the warehouse and thus reduce its impact on human health and environment sustainability.

A stochastic inventory management model for a dual sourcing supply chain with disruptions

2010 ◽  
Vol 41 (3) ◽  
pp. 315-324 ◽  
Author(s):  
Eleftherios Iakovou ◽  
Dimitrios Vlachos ◽  
Anastasios Xanthopoulos
Keyword(s):  
Supply Chain ◽  
Inventory Management ◽  
Management Model ◽  
Dual Sourcing ◽  
Stochastic Inventory
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