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.

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 Modelling Sustainable Development Aspects within Inventory Supply Strategies

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Gladys Bonilla-Enriquez ◽  
Patricia Cano-Olivos ◽  
Li-Qun Peng ◽  
Weihua Gan ◽  
Jose-Luis Martinez-Flores ◽  
...  
Keyword(s):  
Sustainable Development ◽  
Supply Chain ◽  
Natural Resources ◽  
Inventory Management ◽  
Well Being ◽  
Control Model ◽  
Economic Resources ◽  
Business Strategies ◽  
Inventory Control Model ◽  
Economic Well Being

Nowadays, inventory management is a tool that must be extended to cover all aspects of the supply chain (SC). One of these aspects is Sustainable Development (SD) which emphasizes the balance between economic well-being, natural resources, and society. As inventory involves the use of natural and economic resources, the integration of SD criteria is important for a more efficient and sustainable SC. In this work, the most important SD variables associated with inventory management were identified. These variables were integrated as cost elements within a nondeterministic inventory control model to include SD criteria within inventory supply strategies. Through the assessment of the proposed integrated model, it was determined that, although SD practices involve additional investments, specific practices such as reuse/recycling and government incentives can increase revenue and profits. This is important for the development of government and business strategies to perform sustainable practices.

scholarly journals Research on Multi-Echelon Inventory Optimization for Fresh Products in Supply Chains

2021 ◽  
Vol 13 (11) ◽  
pp. 6309
Author(s):  
Yingying Zhang ◽  
Yi Chai ◽  
Le Ma
Keyword(s):  
Supply Chain ◽  
Inventory Control ◽  
Inventory Management ◽  
Fitness Function ◽  
Optimal Solution ◽  
Control Model ◽  
Practical Significance ◽  
Deterioration Rate ◽  
Inventory Control Model ◽  
Fresh Products

Fresh products are perishable and fragile, which easily leads to higher inventory costs and requires reasonable planning of inventory management. Therefore, it is very important for fresh product supply chain systems to have multi-echelon inventory control. However, in past studies, few control models of the multi-echelon inventory considered the deterioration rate of perishable products as the variable factor. In this paper, on the basis of considering the perishable characteristics of fresh products, combining the deterioration rate with the inventory control model, a multi-echelon inventory control model for fresh products is designed and optimized, and the optimal solution from the whole supply chain is obtained through the optimal fitness function by genetic algorithm. Finally, Flexsim is used to simulate the two inventory strategies before and after optimization. After simulation comparison and analysis, it is verified that the optimized inventory control strategy has lower costs. The research results can help supply chain managers of fresh products to make inventory management decisions and save costs, which is of practical significance.

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