Evaluation of smart city logistics solutions with fuzzy MCDM methods

Abstract

ÖzCity logistics, which started to examine as a subdivision of logistics, aims the planning and management of transportation, efficiency, protection of the environment, reduction of traffic, security, and energy-saving. Rapidly growing population and migration from rural to urban areas have an important place in many of the problems of cities. A smart city is an approach that has a significant potential to solve urban logistics problems with information technologies. "Smart city logistics solutions" such as full adaptive traffic management system, security, and emergency systems, electronic detection system, etc. present based on information technologies to meet the increasing demand for logistics services more efficiently, safely and environmentally. In this study, the evaluation of smart city logistics solutions that contain many components is considered as a multi-criteria decision-making (MCDM) problem. Given the complex nature of this problem and insufficient knowledge, the decision-making approach is supported by fuzzy logic. In this context, the smart city logistics solutions in Istanbul determined by literature review and expert opinions are modeled, analyzed, and the results are interpreted by using the House of Quality matrix of Quality Function Deployment (QFD) approach with fuzzy MCDM methods.Lojistiğin bir alt dalı olarak incelenmeye başlanan "Kentsel Lojistik", genel lojistikte olduğu gibi dağıtım ve ulaşımın planlanmasını, yönetilmesini, etkin bir lojistik sisteminin sağlanmasını, çevrenin korunmasını, trafiğin azaltılmasını, lojistikte güvenliği ve enerji tasarrufunu amaçlamaktadır. Hızla artan nüfus ve kırsal alanlardan kentsel alanlara olan göç, şehirdeki lojistik problemlerinin yaşanmasındaki başlıca sebepler arasındadır. Akıllı şehir yaklaşımı, bilgi teknolojileri ile bu problemleri çözmek için önemli bir potansiyele sahiptir. Lojistik hizmetlerinde artan talebin daha etkin, güvenli ve çevreci bir şekilde karşılanması için bilgi teknolojilerini baz alan tam adaptif trafik yönetim sistemi, güvenlik ve acil durum yönetim sistemi, elektronik denetleme sistemi gibi "Akıllı kentsel lojistik çözümleri" sunulmaktadır. Bu çalışmada, birçok bileşeni bünyesinde barındıran akıllı kentsel lojistik çözümleri, Çok Kriterli Karar Verme (ÇKKV) problemi olarak ele alınmaktadır. Bu problemin karmaşık yapısı ve bilginin yetersiz olduğu göz önünde bulundurularak karar verme yaklaşımı bulanık mantık ile desteklenmektedir. Bu kapsamda, İstanbul'da akıllı kentsel lojistik çözümleri literatür taraması ve uzman görüşleri ile modellenmekte, analiz edilmekte ve sonuçlar Kalite Fonksiyon Göçerimi yaklaşımının Kalite Evi matrisi ve bir bulanık ÇKKV tekniği kullanılarak elde edilmektedir.

Risk Analysis of the Use of Drones in City Logistics

“…Some studies examine drones as supplementary tools for ground delivery vehicles (GDVs). Referred to in papers as a tandem vehicle-drone system, this concept involves employing drones for deliveries to specific locations while GDVs simultaneously handle others [10]. Wang and Sheu [37] proposed a model for the operational planning of ground vehicle-drone tandem delivery, allowing for the interchange of drones between GDVs.…”

“…Wang and Sheu [37] proposed a model for the operational planning of ground vehicle-drone tandem delivery, allowing for the interchange of drones between GDVs. Most studies have focused on drone-based delivery, but there are also studies dealing with both drone pickup and delivery [10].…”

“…Mobile depots play a crucial role in bringing goods and drones closer to the delivery zone, with the final leg of delivery exclusively handled by drones. Within the literature, these variations primarily differ based on the type of vehicle used as mobile depots, encompassing GDVs and means of public transportation like trams, barges, and even unconventional options such as balloons or dirigibles (a type of aerostat) [10].…”

“…There are only a few articles that analyze different drone-based delivery variants within the framework of city logistics concepts and select the most favorable among them. One notable article [36] demonstrates that various forms of flow consolidation on the outskirts of urban areas and near flow generators, combined with drones for the final stage of delivery, present a sustainable city logistics solution [10,38,39]. The use of drones in city logistics has many advantages: reducing city road traffic and the number of vehicles on the streets, supporting humanitarian logistics, reducing delivery time, costs, carbon dioxide, and noise emissions, and increasing the flexibility and sustainability of city logistics [40,41].…”

“…This can be undertaken most effectively by applying multi-criteria decisionmaking (MCDM) methods. Moreover, their applicability and effectiveness have been demonstrated in related fields, for the assessment and evaluation of concepts [10] and barriers to the application of drones in city logistics [11], strategies for overcoming these barriers [12], etc.…”