0000000000949974

AUTHOR

C.m. La Fata

showing 3 related works from this author

A combined interval-valued ELECTRE TRI and TOPSIS approach for solving the storage location assignment problem

2019

Abstract Efficiency and effectiveness of logistic activities, in general, and of distribution networks, in particular, are largely influenced by the way warehouses operate as nodes of these networks. In recent years, warehouse management has undergone major changes due to the increase of e-commerce and competition in time-reduction. Despite that, logistic costs of warehouse processes (e.g. receiving, storage, order picking and shipping, etc.) are still often high. Referring to the order picking process, related activities may be optimized by a proper assignment of products to storage locations. In the literature, this problem is known as Storage Location Assignment Problem (SLAP). Due to th…

Order picking021103 operations researchGeneral Computer ScienceOperations researchComputer scienceProcess (engineering)Random assignment0211 other engineering and technologiesGeneral EngineeringTOPSIS02 engineering and technologyInterval (mathematics)Interval valuedWarehouse managementInterval-valued ELECTRE TRI; Interval-valued TOPSIS; Storage location assignment problem; Warehouse managementSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingStorage location assignment problemELECTREAssignment problemInterval-valued TOPSISInterval-valued ELECTRE TRI
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Assessing the carbon footprint across the supply chain: Cow milk vs soy drink

2022

Abstract Since livestock product consumption could have a significant effect on tackling climate change, in the few last years, there has been an increasing consumer demand for non-dairy alternatives. Despite plant-based beverages being considered crucial to foster the transition towards sustainable diet models, no studies have yet compared the level of emissions of plant-based beverages with animal-based ones. The present study aims at computing the carbon footprint of cow milk and that of soy drink and evaluating the carbon footprint results in the light of the substitutability of cow's milk with soy drink, analyzing the potential environmental, economic and nutritional trade-offs between…

GHG emissionEnvironmental EngineeringClimate ChangeSupply chainDiet transitionAnimal-based beverageLife cycle approach.BeveragesCow milkAgricultural scienceSettore ING-IND/17 - Impianti Industriali MeccaniciAnimalsEnvironmental ChemistryProduction (economics)Life cycle approach GHG emissions Animal-based beverage Alternative plant-based beverage Diet transitionWaste Management and DisposalCarbon FootprintConsumption (economics)Food securitybusiness.industryfood and beveragesAlternative plant-based beverage Animal-based beverage Diet transition GHG emissions Life cycle approachPollutionDietMilkGreenhouse gasCarbon footprintCattleFemaleLivestockAlternative plant-based beverageBusiness
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Regenerative scheduling problem in engineer to order manufacturing: an economic assessment

2021

The dynamic production scheduling is a very complex process that may arise from the occurrence of unpredictable situations such as the arrival of new orders besides the ones already accepted. As a consequence, companies may often encounter several difficulties to make decisions about the new orders acceptance and sequencing along with the production of the existing ones. With this recognition, a mathematical programming model for the regenerative scheduling problem with deterministic processing times is formulated in the present paper to evaluate the economic advantage of accepting a new order in an engineer to order (ETO) manufacturing organization. The real case of an Italian ETO company …

0209 industrial biotechnologyJob shop schedulingProcess (engineering)Build to orderComputer scienceEconomic assessment; Engineer to order; Mathematical programming; SchedulingManufacturing organizationScheduling (production processes)02 engineering and technologyIndustrial engineeringIndustrial and Manufacturing Engineering020901 industrial engineering & automationEconomic assessmentArtificial IntelligenceOrder (exchange)Economic assessment Engineer to order Mathematical programming SchedulingSettore ING-IND/17 - Impianti Industriali Meccanici0202 electrical engineering electronic engineering information engineeringProduction (economics)020201 artificial intelligence & image processingSoftware
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