• Aucun résultat trouvé

[PDF] Top 20 Multi-objective optimization for Green Supply Chain Management and Design : Application to the orange juice agrofood cluster

Has 10000 "Multi-objective optimization for Green Supply Chain Management and Design : Application to the orange juice agrofood cluster" found on our website. Below are the top 20 most common "Multi-objective optimization for Green Supply Chain Management and Design : Application to the orange juice agrofood cluster".

Multi-objective optimization for Green Supply Chain Management and Design : Application to the orange juice agrofood cluster

Multi-objective optimization for Green Supply Chain Management and Design : Application to the orange juice agrofood cluster

... Interestingly, the AVUC values follow the same pattern between market regions ...France and Germany), no matter what the Pricing Policy ...that the product that use FCOJ raw materials ... Voir le document complet

244

A green supply chain network design framework for the processed food industry: Application to the orange juice agrofood cluster

A green supply chain network design framework for the processed food industry: Application to the orange juice agrofood cluster

... on the environment. Supply chain network design provides a means to frame this issue in terms of strategic decision ...operational and economic concerns to one that ... Voir le document complet

23

A green supply chain network design framework for the processed food industry: Application to the orange juice agrofood cluster

A green supply chain network design framework for the processed food industry: Application to the orange juice agrofood cluster

... is the formu- lation of supply chain design as a network of interconnected possi- ble configurations of items for each echelon in the context of an agro-food supply ... Voir le document complet

22

Deployment of a hydrogen supply chain by multi-objective/multi-period optimisation at regional and national scales

Deployment of a hydrogen supply chain by multi-objective/multi-period optimisation at regional and national scales

... Also multi-objective optimisation models have been devel- oped, Kim and Moon ...optimisation to minimise the cost and safety risk. The risk criterion is also optimised in ... Voir le document complet

22

Multi-Objective Design Optimization of the Leg Mechanism for a Piping Inspection Robot

Multi-Objective Design Optimization of the Leg Mechanism for a Piping Inspection Robot

... Locomotion and environment The locomotion can be obtained either by putting actuated wheels or by varying the body length while the front and the rear part are alternately fixed ... Voir le document complet

11

Applying system dynamics approach to the supply chain management problem

Applying system dynamics approach to the supply chain management problem

... Additionally, during the process of creating reference modes for the selected variables, Product Life Cycle, Capacity Relative to Desired Capacity, Change in Customer Order[r] ... Voir le document complet

114

Decomposition techniques for large-scale optimization in the supply chain

Decomposition techniques for large-scale optimization in the supply chain

... Introduction The supply chain is a rich domain involving many different processes and handoffs that must integrate smoothly in order to take products from a material acquisition stage ... Voir le document complet

105

Deployment of a hydrogen supply chain by multi-objective/multi-period optimisation at regional and national scales

Deployment of a hydrogen supply chain by multi-objective/multi-period optimisation at regional and national scales

... 2008) for modelling regional hydrogen infrastructure deployment using detailed spatial data and applied the methodology to a case study of a potential coal-based hydrogen transporta- tion ... Voir le document complet

23

2020 — The optimization of the lean supply chain management using meta-heuristic approach

2020 — The optimization of the lean supply chain management using meta-heuristic approach

... clear for uncertainty. Aqlan & Lam (2015) calculated the risk of one event from its probability of occurrence and its ...divided the impact of risk into devotional and disruptive ... Voir le document complet

247

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

Big data for agri-food 4.0: Application to sustainability management for by-products supply chain

... velocity and variety (De Mauro et al., 2016), making them difficult to manage with common tools (Hampton et ...applied to the CE and industrial ...explored the possible ... Voir le document complet

12

MGDA Variants for Multi-Objective Optimization

MGDA Variants for Multi-Objective Optimization

... Ordered and economical GSP : MGDA-III The driving idea is that in case of numerous gradients, trends might emerge among them, per- mitting to account for the general direction of a ... Voir le document complet

17

Hybridation of Bayesian networks and evolutionary algorithms for multi-objective optimization in an integrated product design and project management context

Hybridation of Bayesian networks and evolutionary algorithms for multi-objective optimization in an integrated product design and project management context

... product design and project management processes at early steps of system design is nowadays a key industrial ...Therefore, the aim is to make firms evolve from classical ... Voir le document complet

16

Design for Flexibility in the Forest Biorefinery Supply Chain

Design for Flexibility in the Forest Biorefinery Supply Chain

... In the first part of the methodology, i.e., designing for flexibility, there are four steps: determining the upper bound for production capacity, characterizing the manufacturing system [r] ... Voir le document complet

433

An Algorithm for Procurement in Supply Chain Management

An Algorithm for Procurement in Supply Chain Management

... in the MDP provided in 3.1 maps neatly to the SCM game with a few ...all, the SCM is much more complex than the single-unit model that we ...in the market, each of which composed ... Voir le document complet

8

Multi-objective Robust Optimization using a Post-optimality Sensitivity Analysis Technique: Application to a Wind Turbine Design

Multi-objective Robust Optimization using a Post-optimality Sensitivity Analysis Technique: Application to a Wind Turbine Design

... a multi-objective optimization robust problem, the variations in design variables and design environment pa- rameters include the small variations and ... Voir le document complet

17

Design of a water allocation and energy network for multi-contaminant problems using multi-objective optimization

Design of a water allocation and energy network for multi-contaminant problems using multi-objective optimization

... simultaneous optimization is difficult to be implemented for large problems because of the combinato- rial ...works, the regeneration of water cannot be considered with this approach ... Voir le document complet

19

Developing a process for supply chain risk management

Developing a process for supply chain risk management

... Cisco's existing processes identify risks and provide supply chain risk mitigation during product development and corporate level risk mitigation efforts for products in produ[r] ... Voir le document complet

65

CargoNet : micropower sensate tags for supply-chain management and security

CargoNet : micropower sensate tags for supply-chain management and security

... Many challenges remain, but the payoff promises to be great: once they are fully operational and working consistently over long stretches of time and under a wide range o[r] ... Voir le document complet

113

2018 — Supply chain management optimization using meta-heuristics approaches applied to a case in the automobile industry

2018 — Supply chain management optimization using meta-heuristics approaches applied to a case in the automobile industry

... In optimization problems, Genetic Algorithm (GA) and Ant Colony Optimization (ACO) have been known as good ...designed to implement the natural evolution process, while ACO is inspired ... Voir le document complet

99

Hybridation of Bayesian networks and evolutionary algorithms for multi-objective optimization in an integrated product design and project management context

Hybridation of Bayesian networks and evolutionary algorithms for multi-objective optimization in an integrated product design and project management context

... product design and project management processes at early steps of system design is nowadays a key industrial ...Therefore, the aim is to make firms evolve from classical ... Voir le document complet

15

Show all 10000 documents...