GCRIS

Now showing 1 - 3 of 3

Industry 4.0: A Bibliometric Analysis
(Nova Science Publishers, Inc., 2023) Madenoğlu, Fatma Selen
With the emergence of Industry 4.0, organizations' interest in digital transformation has significantly expanded to remain competitive. As a result, organizational digital transformations have appeared. Nowadays, machine learning is built into every device, and automation has taken center stage. This paper presents a bibliometric study and in-depth research on the most recent advancements in the "Industry 4.0" field. The top 10 most cited publications and authors, main research areas, publications, and countries are all examined as part of the bibliometric study, which also extracts data on the overall number of publications and citations. The organizational transformation highlighted in the publications is then examined after a detailed analysis of the most cited publications. In this paper, the publications on Industry 4.0 are examined and in addition, publications that deal with Industry 4.0 and organizational transformation are presented. © 2023 Elsevier B.V., All rights reserved.
Green Vehicle Routing Problem
(Nova Science Publishers, Inc., 2024) Madenoğlu, Fatma Selen
The decrease in natural resources, the fact that greenhouse gases cause global warming, and consumers' sensitivity to environmental, and health issues have forced businesses to develop sustainable strategies. The idea of "green logistics," which is focused on carrying out economically sensible environmental activities when producing goods and services, has gained significant relevance for this reason. Transportation activity is one of the most basic costs of logistics activity. Due to the fuels used in transportation and the greenhouse gases released, it has become vital to develop and implement sustainable and green energy policies in logistics activities. Green logistics has become one of the areas that needs to be emphasized. A metaheuristic is presented and proposed to solve the vehicle routing problem, which is a type of vehicle routing problem involved in optimizing simultaneous pickup and delivery considering carbon emissions in logistics activities. A green logistics approach is presented in order to guide businesses that aim to produce services in accordance with sustainable and green energy policies. © 2024 Elsevier B.V., All rights reserved.
Citation - Scopus: 4
A Bi-Criteria Approach to Scheduling in the Face of Uncertainty: Considering Robustness and Stability Simultaneously
(Nova Science Publishers, Inc., 2014) Gören, Selçuk; Sabuncuoĝlu, Ihsan; Selcuk, Gören
It is possible to scrutinize impacts of uncertainty on schedules from two different perspectives. The flrst one has to do with the fact that schedules are required to main- tain high performance in the face of uncertainty. In other words, it is desired that their performances are insensitive to negative impacts of disruptions. We refer to this view- point as the robustness perspective. The second viewpoint is about another quality: when a schedule is executed in the shop floor, the realized schedule is required not to deviate much from its initial version. This is because many activities besides pro- duction are planned based on the production schedule. It is important that unforeseen disruptions affect the plans for these activities as little as possible. We refer to this viewpoint as the stability perspective. Even though a considerable body of literature has emerged on hedging schedules against the negative effects of unforeseen disrup- tions in the last two decades, few studies address the problem of scheduling under uncertainty from both the robustness and the stability perspectives at the same time. The nature of the relation between robustness and stability, the trade-off between them, the circumstances under which they conflict or reconcile need to be thoroughly inves- tigated. To this end, we propose a bi-criteria approach to simultaneously investigate the robustness and stability of production schedules. We consider proactive schedul- ing in a single machine environment with random processing times. We use the total expected flow time and the total variance of job completion times as the robustness and stability measures, respectively. The proposed o-constraint variants are exact methods to generate the set of all Pareto-optimal schedules. We also develop an algorithm to generate a flxed number (set by the decision-maker) of near-Pareto-optimal schedules to deflne the characteristics and the shape of the trade-off curve without generating the entire Pareto set. Our computational experiments indicate that the proposed algorithms are efflcient. © 2018 Elsevier B.V., All rights reserved.

Scopus İndeksli Yayınlar Koleksiyonu

Browse

Filters

Settings

Sort By

Results per page

Search Results