Browsing by Author "Eroglu, Ecem"

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Citation - WoS: 2
An Agent-Based Simulation Model for Deadlock Prevention in an Aisle-to-Aisle SBS/RS
(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Ecem Eroglu; Banu Yetkin Ekren; Eroglu, Ecem; Ekren, Banu Yetkin; F Calisir
Flexibility and high throughput rate in storage and retrieval systems are essential criteria in today's competitive marketing. Recent developments in information technology enable the intelligent design of systems. This study aims to propose a tier-captive aisle-to-aisle shuttle-based storage and retrieval system (SBS/RS) where shuttles can make autonomous decisions to prevent deadlocks and collisions as well as the efficient process of transactions. Deadlock prevention algorithms are one of the primary concerns in today's autonomous vehicle environment. In the considered tier-captive aisle-to-aisle SBS/RS multiple shuttles can travel between aisles in a dedicated tier. The advantage of this design is that there may be the fewer total number of shuttles running in the system compared to a traditional tier-captive SBS/RS. Due to the complexity of the proposed system and autonomous shuttle-based decision-making target we utilized the advantage of an agent-based modeling approach by simulating the system. Agent definitions roles and behaviors are specified to ensure that no collision and blockage take place in the system. Thanks to the intelligent abilities of agents so that the system can run effectively by using real-time information.
Citation - Scopus: 7
Lateral inventory share based business model for iot enabled sustainable food supply chain network
(IEOM Society, 2020) Banu Yetkin Yetkin Ekren; Ecem Eroğlu Turhanlar; Yigit Kazancoglu; Vikas Kumar; Eroglu, Ecem; Kazancoglu, Yigit; Kumar, Vikas; Ekren, Banu Yetkin
Recent Industry 4.0 developments have created disruptive changes and forces companies to rethink the way they design their supply chains. To cope with recent Industry 4.0 trends and changed requirements supply chains need to become more connected much faster more granular and much more precise. Digitisation of supply chain enables fast flexible granular accurate transparent efficient and sustainable transformations in supply chains. In this work we study a business model for digitised food supply chain connected with their equivalents under an IoT environment. Specifically we study a connected online grocery network design aiming to minimize food waste in the network and manage a sustainable food supply chain by considering a lateral inventory share-based food inventory management. Minimization of food waste is one of the recent significant concerns for sustainable food supply chain network designers. In an effort to contribute this target we propose a lateral inventory share model for online groceries where one e-grocery can make a commercial transaction with another one. We study a single echelon network with three online groceries and simulate the proposed models to compare their performances. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 1
s S Inventory Control Optimization Under Inventory Sharing Policy for Omni-Channel Network
(SPRINGER INTERNATIONAL PUBLISHING AG, 2022) Damla Izmirli; Banu Yetkin Ekren; Ecem Eroglu; Eroglu, Ecem; Izmirli, Damla; Ekren, Banu Yetkin; F Calisir
Rapidly developing technology and multi-channel integrations in marketing have led to the emergence of omnichannel retailing. In omnichannel consumers can take advantage of all shopping channels interactively. It overcomes the drawbacks of traditional supply chain applications but uncertain stock demands cause serious difficulties and costs. In this work an inventory sharing policy study presented for an omnichannel network in order to reduce the risks caused by stock and demand uncertainty. In literature this policy also referred to as lateral transshipment. Recently due to the increase in e-commerce it has become significant to respond to customer demands shortly for customer satisfaction. Inventory sharing allows the exchange of items between the same echelon of the supply chain network enabling high service levels with low costs. Since in an omnichannel network physical transshipment may not take place due to the electronic order case we prefer to state this policy as inventory sharing instead of lateral transshipment. We develop simulation models for three different omnichannel scenarios and optimize the total network cost by considering those three sharing policies. We compare each scenario's optimal cost result. For the modeling and optimization purpose we use the ARENA 16.0 commercial software and OptQuest to optimize the (s S) inventory levels.