İşletme Bölümü Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1937

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  • Article
    Citation - WoS: 51
    Citation - Scopus: 94
    Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: a Mixed Method Approach
    (MDPI, 2022-12-08) Güner, Elif; Ayan, Büsra; Son-Turan, Semen
    Background: This study presents a comprehensive review of blockchain technology with a sustainability orientation in supply chains and logistics. Methods: The publications are extracted from the Scopus and Web of Science databases, comprising 552 publications between 2017 and 2022. Several bibliometric laws and techniques, namely three-field analysis, Bradford’s Law, Lotka’s Law, and thematic maps, are applied in R with the bibliometrix package. Content analysis is also carried out based on 185 publications to appreciate the industry-based view of the field. Results: The bibliometric results indicate that this field is on the rise. Authors, sources, affiliations, countries, keywords, and their relationships are also addressed. The findings of the content analysis and thematic maps reveal that some of the most highlighted themes in the literature include traceability, COVID-19, the internet of things, and Industry 4.0. The most popular industry in this field is discovered to be food and agriculture. Conclusions: This paper contributes to the still relatively scarce literature on how blockchain technology fosters sustainable supply chains and logistics, providing a closer look at blockchain use, methodologies, and future directions for different industries concerning food, agriculture, fashion, textile and apparel, manufacturing, automotive, maritime and shipping, healthcare and pharmaceutical, mining and mineral, and energy. © 2022 by the authors.
  • Article
    Citation - WoS: 10
    Citation - Scopus: 20
    Minimum Cost Delivery of Multi-Item Orders in E-Commerce Logistics
    (Elsevier, 2022-02-01) Muter, İbrahim; Laportece, GilberT; Akyüz, M. Hakan; Erdoğan, Güneş; Laporte, Gilbert
    We solve a delivery problem arising in e-commerce logistics. We consider a retailer with an online store and a network of stores operating in an omni-channel strategy. The fulfillment decision for an online order, which contains a number of items, involves the allocation of these items to the stores where they are available and the selection of one store for consolidation of the items into the final package to be dispatched to the customer. The transportation between the stores and the customer is handled by a third-party logistic provider which uses a concave pricing policy based on the distance between the origin and the destination, as well as on the weight of the items. We present an online problem which is defined for a set of orders placed over time, and a mixed integer programming formulation defined for each order. The main characteristics of this problem are that the solution of the formulation for each order impacts those of the subsequent orders, and the problem must be solved in real time. For the solution of the formulation, we propose an iterative matheuristic based on the solution of the set covering model and local search. Computational results on randomly generated instances are provided, which demonstrate that our algorithm is capable of producing high-quality results.