scholarly journals Forecast Methods and Periodic Review Inventory Model for Supply Planning to Reduce Food Waste

2021 ◽  
pp. 24-40
Author(s):  
Leslie-Noelia Ceballos-Palomares ◽  
Andrés-Benjamín Nava-Jiménez ◽  
Santiago-Omar Caballero-Morales ◽  
Patricia Cano-Olivos
Keyword(s):  
Inventory Control ◽  
Food Waste ◽  
Control Model ◽  
Perishable Products ◽  
Periodic Review ◽  
Stochastic Inventory ◽  
Stochastic Inventory Control ◽  
Supply Planning ◽  
Inventory Control Model ◽  
Periodic Review Inventory

Food waste is an important economic and resource problem in all countries around the world.  Particularly, the restaurant sector highly contributes to food waste and limited efforts or studies have been performed to overcome this problem. In this context, the present study addresses an alternative to improve the supply planning for perishable products in the restaurant sector through the application of specific forecasting methods and a stochastic inventory control model. For this purpose, a real enterprise within this economic sector was considered. Our findings support that monthly forecasts can be more appropriate for accurate demand estimation and supply planning of perishable products, which is important to reduce unnecessary products. Also, the periodic review inventory control model can lead to a more appropriate supply scheme to reduce the waste of surplus food. These findings and the proposed techniques can be used for other economic entities to reduce product waste due to poor supply planning.

scholarly journals STOCHASTIC INVENTORY CONTROL MODEL WITH TWO STAGES IN ORDERING PROCESS

2006 ◽  
Vol 7 (1) ◽  
pp. 21-24 ◽  
Author(s):  
Eugene Kopytov ◽  
Leonid Greenglaz ◽  
Fedor Tissen
Keyword(s):  
Inventory Control ◽  
Control Model ◽  
Single Product ◽  
Stochastic Inventory ◽  
Industrial Companies ◽  
Stochastic Inventory Control ◽  
Inventory Control Model ◽  
Two Stages ◽  
Product Inventory

The purpose of offered work is the construction of a stochastic single‐product inventory control model for the chain “producer – wholesaler – customer”. Given situation takes place in many transport and industrial companies. Criterion of optimization is minimum of average expenses for goods holding, ordering and losses from deficit per a time unit.

scholarly journals Metamodelling of Inventory-Control Simulations Based on a Multilayer Perceptron

2019 ◽  
Vol 20 (3) ◽  
pp. 251-259 ◽  
Author(s):  
Ilya Jackson ◽  
Jurijs Tolujevs ◽  
Sebastian Lang ◽  
Zhandos Kegenbekov
Keyword(s):  
Control System ◽  
Inventory Control ◽  
Multilayer Perceptron ◽  
Simulation Optimization ◽  
Activation Function ◽  
Control Problems ◽  
Perishable Products ◽  
Stochastic Inventory ◽  
Stochastic Inventory Control ◽  
Rectified Linear Unit

Abstract Inventory control problems arise in various industries, and each single real-world inventory is replete with non-standard factors and subtleties. Practical stochastic inventory control problems are often analytically intractable, because of their complexity. In this regard, simulation-optimization is becoming more and more popular tool for solving complicated business-driven problems. Unfortunately, simulation, especially detailed, is both time and memory consuming. In the light of this fact, it may be more reasonable to use an alternative cheaper-to-compute metamodel, which is specifically designed in order to approximate an original simulation. In this research we discus metamodelling of stochastic multiproduct inventory control system with perishable products using a multilayer perceptron with a rectified linear unit as an activation function.

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.

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