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Operations and Supply Chain Management Commons™
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- Keyword
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- 3D Printing (1)
- Additive Manufacturing (1)
- Additive Manufacturing/3D Printing (1)
- Disaster (1)
- Future events (1)
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- Inventory (1)
- Knowledge,Proximity,Innovation and Learning (1)
- Location (1)
- Parallel tabu search (1)
- Pre-positioning (1)
- Probabilistic knowledge (1)
- Proximity; learning; innovation; technological gatekeepers; firm (1)
- Real time (1)
- Scenario-based model (1)
- Stochastic (1)
- Sustainabiity (1)
- Transportation (1)
- Vehicle dispatching (1)
- Zero length Supply Chains (1)
Articles 1 - 6 of 6
Full-Text Articles in Operations and Supply Chain Management
Humanitarian Logistics Network Design For An Effective Disaster Response, Soumia Ichoua
Humanitarian Logistics Network Design For An Effective Disaster Response, Soumia Ichoua
Soumia Ichoua
In this paper we address the problem of pre-positioning emergency supplies prior to a disaster onset. The goal is to ensure a fast and effective response when the disaster strikes. Pre-positioning of emergency supplies is a strategic decision aimed at determining the number and location of local distribution centers as well as their inventory levels for emergency supplies. These decisions must be made in a highly disruption-prone environment where a timely response is vital and resources are scarce. We present and discuss a scenario-based model that integrates location, inventory and routing decisions.
Exploiting Knowledge About Future Demands For Real-Time Vehicle Dispatching, Soumia Ichoua, Michel Gendreau, Jean Yves Potvin
Exploiting Knowledge About Future Demands For Real-Time Vehicle Dispatching, Soumia Ichoua, Michel Gendreau, Jean Yves Potvin
Soumia Ichoua
An important, but seldom investigated issue in the field of dynamic vehicle routing and dispatching is how to exploit information about future events to improve decision making. In this paper, we address this issue in a real-time setting with a strategy based on probabilistic knowledge about future request arrivals to better manage the fleet of vehicles. More precisely, the new strategy introduces dummy customers (representing forecasted requests) in vehicle routes to provide a good coverage of the territory. This strategy is assessed through computational experiments performed in a simulated environment.
Transport Replacement And Sustainability Aspects Associated With Additive Manufacturing, Marcus R. Wigan
Transport Replacement And Sustainability Aspects Associated With Additive Manufacturing, Marcus R. Wigan
Marcus R Wigan
Additive manufacturing has a range of characteristics that suggest enhancements to sustainability should be possible. The nature of the process influences not only how products can be made, but also how they can be delivered. Logistics and the global supply chain are central aspects to manufacturing, and considerable attention is being paid to making the supply chain more sustainable. This often makes sound economic sense without any consideration of the environmental benefits, as this usually delivers energy reductions and reduced reworking or redelivery. Additive manufacturing has also secured increasing attention from a sustainability standpoint, but this has in the main …
Innovation, Proximity, And Knowledge Gatekeepers –Is Proximity A Necessity For Learning And Innovation?, Deogratias Harorimana Dr
Innovation, Proximity, And Knowledge Gatekeepers –Is Proximity A Necessity For Learning And Innovation?, Deogratias Harorimana Dr
Dr Deogratias Harorimana
Organisational desire for innovation and growth can be best achieved when they are in proximity. Geographical or technological proximity represent network structure in which a focal organisation is embedded, which has structural, cognitive and relational dimensions. Proximity influences innovation indirectly by its influence on agents’ ability to exchange and combine knowledge in four related ways: by giving access to exchange partners that provide opportunities for learning, increasing the anticipation of value, increasing the motivation to exchange, and by giving access to resources necessary for committing exchanges.
A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd
A Neural Network Decision-Making Model For Job-Shop Scheduling”, Davood Golmohammadi Phd
Davood Golmohammadi
Scheduling in a job-shop system is a challenging task. Simulation modelling is a well-known approach for evaluating the scheduling plans of a job-shop system; however, it is costly and time-consuming, and developing a model and interpreting the results requires expertise. As an alternative, we have developed a neural network (NN) model focused on detailed scheduling that provides a versatile job-shop scheduling analysis framework for management to easily evaluate different possible scheduling scenarios based on internal or external constraints. A new approach is also proposed to enhance the quality of training data for better performance. Previous NN models in scheduling focus …
Neural Network Application For Supplier Selection, Davood Golmohammadi Phd
Neural Network Application For Supplier Selection, Davood Golmohammadi Phd
Davood Golmohammadi
No abstract provided.