multi-echelon inventory systems are one of the most important and attractive areas in modelling supply chain management so that several researches and studies have been done about. in this paper, the total cost function of a two-echelon inventory system with central warehouse and many identical retailers controlled by continuous review inventory policy is estimated. we have assumed the demand i...

In this paper, we study the problem of mapping natural language instructions to complex spatial actions in a 3D blocks world. We first introduce a new dataset that pairs complex 3D spatial operations to rich natural language descriptions that require complex spatial and pragmatic interpretations such as “mirroring”, “twisting”, and “balancing”. This dataset, built on the simulation environment ...

This theoretical article aims to draw up an inventory of the latest advances in medical knowledge engineering in the specific area of ontologies and knowledge based systems design. Echoing the debates that animated the landscape of Artificial Intelligence (AI) from the 1970s under the impetus of Dreyfus HL, it aims to show that most of the difficulties currently faced by medical knowledge engin...

This paper investigates a risk-averse inventory model by balancing the expected profit and conditional value-at-risk (CVaR) in a newsvendor model setting. We find out that: i) The optimal order quantity is increasing in the shortage cost for both the CVaR only criterion and the tradeoff objective. ii) For the case of zero shortage cost, the optimal order quantity to the CVaR criterion or tradeo...

In this chapter, the authors discuss system dynamics (SD) as a research methodology in Information Systems (IS). The goal is to demonstrate the usefulness of SD methodology in research and its implementation in IS and management Information Systems (MIS). The authors briefly discuss the fundamentals of SD methodology models and causal loop diagrams (CLD) as well as model validation. The usefuln...

In this paper, we study the problem of mapping natural language instructions to complex spatial actions in a 3D blocks world. We first introduce a new dataset that pairs complex 3D spatial operations to rich natural language descriptions that require complex spatial and pragmatic interpretations such as “mirroring”, “twisting”, and “balancing”. This dataset, built on the simulation environment ...

Modularity at the head-neck junction of the femoral component in THA became popular as a design feature with advantages of decreasing implant inventory and allowing adjustment of leg length, offset, and soft tissue balancing through different head options. The introduction of a new modular interface to femoral stems that were previously monoblock, or nonmodular, comes with the potential for cor...

The paper presents a simulation on automotive inventory and stock issue, followed by evaluated performance of automotif Sector Company, focused on getting optimum profit from supply and demand balancing. Starting by evaluating and verification of customer’s document until car delivered to customer. Simulation method of performance is used to evaluate company activity. excess demand of car by cu...

Traditional sales and operations planning (S&OP) focus on coordination in sales, production and inventory. The most obvious drawback is to manipulate various operational data during the planning meeting. To improve existing manual process of balancing between demand and supply, the integrated architecture of S&OP in supply chain based on Data Warehousing (DW) technology has been presented, whic...

Predicting music sales is of particular interest for sales managers (e.g. for pricing), inventory management (for CD sales) and server balancing (for music download). In the past years, research therefore proposed several models for music sales prediction. These models have, however, some shortcomings which we want to overcome with a new approach. We suggest using a novel data set that is a byp...