The truck and drone-based cooperative model of delivery can improve the efficiency last mile delivery, has thus increasingly attracted attention in academia from practitioners. In this study, we examine a vehicle routing problem apply form involving trucks drones. We propose mixed-integer programming branch-price-and-cut-based exact algorithm to address problem. To reduce computation time, design several acceleration strategies, including combination dynamic calculus-based approximation for...

Ships operated by a liner company are scattered around the world to transport goods. A needs adjust its shipping network every few months repositioning ships respond uncertain container demand. Few studies investigate company's multiperiod heterogeneous fleet deployment problem under uncertainty, considering repositioning, ship chartering, demand fulfillment, cargo allocation, and adaptive sizes. To this end, study formulates mixed‐integer linear programming model that captures all of these...

The green and sustainable development of ports is an issue great concern to governments, industries, academia. Carbon emissions near mainly come from ships trucks. effective allocation resources the implementation a carbon tax policy may reduce ports. Therefore, this paper investigates integrated optimization problem berths, quay cranes, yard spaces for tidal with channel capacity constraints under policy. A mathematical model that aims minimize sum total emission costs penalty proposed. To...

Many warehouses involved in e-commerce order fulfillment use robotic mobile systems. Because demand and variability can be high, scheduling orders, robots, storage pods interaction with manual workstations are critical to obtaining high performance. Simultaneously, the problem is extremely complicated because of interactions between decisions, many which must taken timely short planning horizons a constantly changing environment. This paper models all such decisions combination minimize...

Autonomous mobile robots (AMRs) can support human pickers in warehouse picking operations by reducing picker walking distance and increasing the warehouse’s throughput. AMR-assisted order is becoming popular as it be conveniently implemented conventional warehouses. This study proposes an integrated optimization model for scheduling picker-to-parts systems. The aims to minimize makespan of all a batch orders assigning batched AMRs, selecting storage racks AMRs visit, determining routes...

The increasing gap between medical waste production and disposal stresses the urgency of further development urban recycling. This paper investigates an integrated optimisation problem in recycling network. It combines vehicle routing facilities with different requirements collection clinics’ to affiliated hospital. To solve this problem, a compact mixed-integer linear programming model is proposed, which takes account differentiated strategy time windows. Since operates according two-day...

Abstract This study proposes a strategic level decision method for yard cranes (YCs) transformation and deployment the purpose of building efficient energy‐saving green ports with low carbon emission. An integer programming model is embedded in above considering some technology YC transformation. The aim to minimize investment cost purchasing transforming YCs as well operation costs during planning horizon. A neighborhood descent particle swarm optimization algorithm developed solving...

This paper investigates the integrated planning problem of fleet deployment considering demand uncertainty for container shipping liners. In daily operation networks with multiple routes, transportation may exceed capacity on some routes due to uncertainty. Shipping liners can apply temporary chartering and transshipment strategies get extra so that excessive be met. To formulate problem, this develops a mixed-integer linear programming model determine deployment, service scheduling, routing...

In disaster rescue, multiple resource allocation strategies before and after disasters are a key research issue. Response planning for sudden-onset must take into account the inherent uncertainties associated with catastrophe potential ensuing disasters. This article investigates problem of optimization in context natural accompanied by occurrence secondary hazards. A two-stage stochastic model is proposed to simulate scenario random severity hazards optimize rescue teams, warehousing items...