Designing a reverse logistics network to manage construction and demolition wastes: A robust bi-level approach

Article Green & Sustainable Science & Technology

Multi-period planning of integrated underground logistics system network for automated construction-demolition-municipal waste collection and parcel delivery: A case study

Wanjie Hu et al.

Summary: This paper introduces a novel solution, the Integrated Underground Logistics System (IULS), to address the low efficiency and negative externalities in city logistics distribution. Through empirical-based methods and optimization algorithms, the IULS network is optimized to achieve optimal location-allocation-routing decisions at minimal costs, saving millions of dollars in annual environmental governance expenditures.

JOURNAL OF CLEANER PRODUCTION (2022)

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Article Construction & Building Technology

A queuing system for inert construction waste management on a reverse logistics network

Xueqing Zhang et al.

Summary: This research develops a queuing system to improve the management of construction waste. The system integrates queuing theory, a reverse logistics network, and a simulation function. It evaluates the effect of queuing delays on logistics management by considering multiple scenarios. A case study based on the practice in Hong Kong further demonstrates the utility of the proposed system.

AUTOMATION IN CONSTRUCTION (2022)

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Article Computer Science, Artificial Intelligence

Reaching sustainability through collection center selection considering risk: using the integration of Fuzzy ANP-TOPSIS and FMEA

Mohammad Pourmehdi et al.

Summary: By creating closed-loop supply chains and optimizing performance, companies can benefit from reusing products and enhance their environmental and social image. Various methods such as multi-criteria decision-making and risk assessment techniques can be used to prioritize facilities, helping to improve the sustainability of the network. The study evaluates the performance of collection centers by combining multiple assessment methods, effectively addressing operational risks and sustainability dimensions.

SOFT COMPUTING (2021)

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Article Engineering, Environmental