Modular and mobile facility location problems: A systematic review

Alarcon-Gerbier, Eduardo; Buscher, Udo

doi:10.1016/j.cie.2022.108734

Cited by 28 publications

(12 citation statements)

References 143 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relationship between degree of flexibility and planning horizon can be seen in Figure 1. 2 Modularity means that the manufacturing or assembly of products are finished inside one or several modular facilities, 28 while mobility can be defined as the ability to change between geographically different places with little penalty in time, effort, cost or performance. 29 A trade-off between relocating the facility modules and leaving them fixed needs to be maintained: while relocating modules would render them temporarily unusable and incur transportation and (dis)assembly costs, leaving modular units in one place for a long period is not economically advantageous due to possible variations in demands and environments.…”

Section: Mobile and Modular Facility Location Problemsmentioning

confidence: 99%

“…1 Nevertheless, today's highly volatile markets pose a challenge to supply chains in terms of customer demand satisfaction or handling of random disruptions. In consequence, the modern industry is calling for a transition from the static supply chain to more dynamic and agile supply networks and manufacturing systems, 2 and the concept of mobile modular facilities has thus emerged. Mobile modular facilities are built with basic building blocks (modules) with dedicated functionalities and standardized interfaces.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multistage stochastic programming for the closed‐loop supply chain planning with mobile modules under uncertainty

Zhang

et al. 2023

AIChE Journal

View full text Add to dashboard Cite

Traditional supply chains usually follow fixed facility designs which coincide with the strategic nature of supply chain management (SCM). However, as the global market turns more volatile, the concept of mobile modularization has been adopted by increasingly more industrial practitioners. In mobile modular networks, modular units can be installed or removed at a particular site to expand or reduce the capacity of a facility, or relocated to other sites to tackle market volatility. In this work, we formulate a mixed‐integer linear programming (MILP) model for the closed‐loop supply chain network planning with modular distribution and collection facilities. To further deal with uncertain customer demands and recovery rates, we extend our model to a multistage stochastic programming model and efficiently solve it using a tailored stochastic dynamic dual integer programming (SDDiP) with Magnanti‐Wong enhanced cuts. Computational experiments show that the added Magnanti‐Wong cuts in the proposed algorithm can effectively close the gap between upper and lower bounds, and the benefit of mobile modules is evident when the temporal and spatial variability of customer demand is high.

show abstract

Section: Mobile and Modular Facility Location Problemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multistage stochastic programming for the closed‐loop supply chain planning with mobile modules under uncertainty

Zhang

et al. 2023

AIChE Journal

View full text Add to dashboard Cite

show abstract

“…This is particularly important during a time-sensitive emergency and disaster intervention [36], but also enables irregular and on-demand service deliveries in rural communities [2]. • Relocation: Vehicle service stops can be relocated continuously according to demand and/or supply patterns [38]. • Location flexibility: Mobile facilities for public service delivery required a high degree of autarchy (i.e., on-board energy and water supply) [4,35].…”

Section: Vehicle Service Stop Allocationmentioning

confidence: 99%

From Supply Chain Stakeholder to Service Customer: An Engineering Framework for Vehicle-Based Services

2022

View full text Add to dashboard Cite

Geographic distance between supply and demand reduces spatial accessibility. Vehicles have been contributing to improved spatial accessibility by offering transport services for people and goods. From traditional trucks to mobile health clinics, vehicles can offer a wide range of functionalities on wheels. To develop context-specific vehicles-based services, we propose a novel engineering framework based on a supply chain perspective. Requirements are derived from supply chain stakeholders and translated into vehicle-based services and vehicle components.

show abstract

“…Numerous studies on service network design have been conducted and applied in different areas, such as supply chain networks [6,7], healthcare and emergency systems [8][9][10], maintenance service networks [11], and transportation and logistics systems [12,13]. Service paradigms in agriculture bring new issues and motivate new research in the design of maintenance service networks.…”

Section: Introductionmentioning

confidence: 99%

Joint Location–Allocation Model for Multi-Level Maintenance Service Network in Agriculture

Li,

Ren,

Wang

2023

Applied Sciences

View full text Add to dashboard Cite

The maintenance service network is always designed as a multi-level service network to provide timely maintenance service for failed machinery, and is rarely studied in agriculture. Thus, this paper focuses on a three-level maintenance service network location–allocation problem in agriculture, which contains several spare part centres, service stations, and service units. This research aims to obtain the optimal location of spare part centres and service stations while determining service vehicle allocation results for service stations, and the problem can be called a multi-level facility location and allocation problem (MLFLAP). Considering contiguity constraints and hierarchical relationships, the proposed MLFLAP is formulated as a mixed-integer linear programming (MILP) model integrating with P-region and set covering location problems to minimize total service costs, including spare part centre construction costs, service vehicle usage costs, and service mileage costs of service stations. The Benders decomposition-based solution method with several improvements is then applied to decompose the original MLFLAP into master problem and subproblems to find the optimal solutions effectively. Finally, a real-world case in China is proposed to evaluate the performance of the model and algorithm in agriculture, and sensitivity analysis is also conducted to demonstrate the impact of several parameters.

show abstract

Modular and mobile facility location problems: A systematic review

Cited by 28 publications

References 143 publications

Multistage stochastic programming for the closed‐loop supply chain planning with mobile modules under uncertainty

Multistage stochastic programming for the closed‐loop supply chain planning with mobile modules under uncertainty

From Supply Chain Stakeholder to Service Customer: An Engineering Framework for Vehicle-Based Services

Joint Location–Allocation Model for Multi-Level Maintenance Service Network in Agriculture

Contact Info

Product

Resources

About