with the aim of reducing cost of electricity consumption and peak load reduction, tools requirement for better managing electricity consumption have become inevitable in recent years. smart home has some equipment which are controllable and this ability is used for increasing comfort and minimizing electricity cost for residence. as a key component of smart home , electric vehicle(ev) ,increase...

Under the assumption of normally distributed returns, we analyze whether the Cumulative Prospect Theory of Tversky and Kahneman (1992) is consistent with the Capital Asset Pricing Model. We find that in every financial market equilibrium the Security Market Line Theorem holds. However, under the functional form for the utility index suggested by Tversky and Kahneman (1992) financial market equi...

We solve a delivery problem arising in e-commerce logistics. consider retailer with an online store and network of stores operating omni-channel strategy. The fulfillment decision for order, which contains number items, involves the allocation these items to where they are available selection one consolidation into final package be dispatched customer. transportation between customer is handled...

This article focuses on the integration of order batching and picker scheduling decisions while taking into account two objectives that have been considered in literature, namely minimization both total travel time to collect all items makespan pickers. integrated problem not only occurs naturally wave picking systems which latest orders becomes key performance metric, but also arises when ther...

We present high-order compact schemes for a linear second-order parabolic partial differential equation (PDE) with mixed second-order derivative terms in two spatial dimensions. The schemes are applied to option pricing PDE for a family of stochastic volatility models. We use a nonuniform grid with more grid-points around the strike price. The schemes are fourth-order accurate in space and seco...

Community retail is an important research issue in the field of fresh agriproduct e-commerce. This paper focuses on problem last-mile multi-temperature joint distribution (MTJD), which combines time coupling, order allocation, and vehicle scheduling. Firstly, according to temperature a refrigerated truck zones, split-order packing decision proposed integrate different types agriproduct. Then, a...

This paper studies the parallel machine scheduling problem subject to machine and job deterioration in a batched delivery system. By the machine deterioration effect, we mean that each machine deteriorates over time, at a different rate. Moreover, job processing times are increasing functions of their starting times and follow a simple linear deterioration. The objective functions are minimizin...

A chance-constraint multi-objective model under uncertainty in the availability of subassemblies is proposed for scheduling in ATO systems. The on-time delivery of customer orders as well as reducing the company's cost is crucial; therefore, a three-objective model is proposed including the minimization of1) overtime, idletime, change-over, and setup costs, 2) total dispersion of items’ deliver...

On-demand delivery has become an increasingly popular urban service in recent years as it facilitates citizens’ daily lives significantly. In the fulfillment cycle, order preparation time estimation is extremely important and can be used for many applications, such improving dispatching estimation. Existing work generally based on high-cost physical devices or large-scale labeled training data,...

In the petroleum supply chain, oil refined products are often delivered to distribution centers by pipelines since they provide the most reliable and economical mode of transportation over large distances. This paper addresses the optimal scheduling of a complex pipeline network with multiple branching lines. The main challenge is to find the optimal sequence and time of product injections/deli...