Abstract This paper considers how an online food delivery platform can improve last-mile services’ performance using multi-source data. The time is one critical but uncertain factor for platforms that also regarded as the main challenges in order assignment and routing service. To tackle this challenge, we propose a data-driven optimization approach combines machine learning techniques with capacitated vehicle optimization. Machine methods provide more accurate predictions have received...

For maintaining an excellent market performance of energy-saving products, it is critical for the players green supply chain to seek collaboration, one most popular trendies cost sharing between players. In this paper, we explore a game-theoretical model with manufacturer and retailer, retailer sells two products different environmental properties same functionality. First, pricing issue which both non-green traditional product new substitutable product. Three factors, retail price product,...

Panic in an emergency can be highly contagious; this cause a situation to rapidly spin out of control, with serious consequences. Prior studies on emotion contagion have focused panic and ignored the rationality pedestrians. Considering both calm, paper puts forward new game theory-based crowd evacuation model incorporating contagion. Transitions between three emotional states, i.e. infected, sensitive, unchangeable, reveal personalized emotions crowd. The influence nearby pedestrians...

Purpose The value of online reviews has been well documented by academics and practitioners. However, to maximise the benefits consumer reviews, sellers must avoid negative consequences associated with customer feedback, such as reputation loss, or product returns after purchase. In developing a better understanding relationships between their potential for impacts, this research aims explore returns. Through quantitative model, demonstrates why can result in return behaviours....

Increased frequency of disasters keeps reminding us the importance effective resource distribution in postdisaster. To reduce suffering victims, this paper focuses on how to establish an emergency logistics system. We first propose a multiobjective optimization model which location and allocation decisions are made for three‐level network. Three objectives, deprivation costs, unsatisfied demand cost, adopted proposed model. Several cardinality flow balance constraints considered...

This paper focuses on an electric vehicle (EV) battery closed-loop supply chain. We present two models to explore incentive (reward) strategies under different channels: the manufacturer's reward strategy, strategy and retailer's strategy. Through theoretical study numerical analysis, results show that (1) total profit is increasing with increase of intensity, using a more favorable expected obtain higher in model 2; (2) recycling rate associated intensity both channels; (3) optimal retail...

This paper investigates how a random supply can influence management decisions under pull and push contracts in decentralized chain with one supplier retailer. We suppose that the faces yield uncertainty, we adopt game models to analyse members’ ( i.e ., wholesale price order quantity) two commonly used contracts. Specifically, revenue sharing mechanism buyback contracts, respectively, find contract efficiently coordinate contract, while cannot improve performance contract. Then design...

In this paper, the problem of fleet management in electric vehicles (EVs) sharing service under demand uncertainty is studied. To solve problem, we propose two robust methodologies to generate fleets reposition plans that mitigate rental and imbalances. More specifically, an adjustable optimization model (AROM) joint chance constraints (CCM) are developed for dynamically assigning EVs redistribute traffic flow problems with uncertainty. These both utilize information (i.e., partial...

Abstract Seat capacity setting greatly affects vehicle capacity. Increasing the number of seats allows more passengers to benefit from comfortable travel conditions but reduces available space for standing and total vehicle. By reducing seats, operator increases most do not find an seat. Without changing size bus, chooses desirable seat when purchasing which can maximize allow have opportunities get a Considering constraints, this paper establishes multiple origins single destination...

Vaccine passport is recognized as a necessary policy to revive the economy during outbreak of epidemic with asymptomatic infection, and has been widely adopted in global world. But implementing vaccine inevitably increases infection risk when efficacy not perfect. Choosing suitable level consideration imperfection extremely important, which less studied existing literature. In this paper, novel model proposed consider mixed impacts vaccination, including vaccination coverage, efficacy,...