Browsing by Author "Ekren, Banu Y."

Now showing 1 - 20 of 27

Citation - WoS: 24
Citation - Scopus: 27
A multi-objective integrated optimisation model for facility location and order allocation problem in a two-level supply chain network
(Springer, 2023) Hamzeh Amin-Tahmasbi; Sina Sadafi; Banu Yetkin Yetkin Ekren; Vikas Kumar; Amin-Tahmasbi, Hamzeh; Kumar, Vikas; Sadafi, Sina; Ekren, Banu Y.
This study proposes a mixed-integer multi-objective integrated mathematical model solving facility location and order allocation optimisation problems simultaneously in a two-echelon supply chain network. The proposed problem is motivated by a factoryless concept and by providing a dynamic decision-making solution under a multi-period time horizon. Within the model we also determine the optimal replenishment number of production facilities by the multi-objective functions. The multi-objective functions include minimisation of the total cost rejected and late delivery units and maximisation of the assessment score of the selected suppliers. The studied dynamic decision model is significant for the cost-efficient management of companies’ supply chain networks. The mixed-integer mathematical model is developed by the LP-metric method and it is solved by the GAMS optimisation software. Due to the NP-hard structure of the problem for large-scale instances we utilise the Multi-Objective Particle Swarm Optimisation (MOPSO) and Multi-Objective Vibration Damping Optimisation (MOVDO) heuristic solution approaches. Numerical results show that for large-scale problems the MOPSO method performs better in Pareto solutions and decreases run times. However the MOVDO method performs better regarding the Mean Ideal Distance and the Number of Solutions Cover surface criterion. The developed solution approach by this paper is a generic model which can be applied for any two-level network for simultaneous optimisation of supplier selection location determination of facilities and their replenishment amounts. © 2023 Elsevier B.V. All rights reserved.
Citation - WoS: 27
Citation - Scopus: 27
A reinforcement learning approach for transaction scheduling in a shuttle-based storage and retrieval system
(WILEY, 2024) Banu Y. Ekren; Bartu Arslan; Arslan, Bartu; Ekren, Banu Y.
With recent Industry 4.0 developments companies tend to automate their industries. Warehousing companies also take part in this trend. A shuttle-based storage and retrieval system (SBS/RS) is an automated storage and retrieval system technology experiencing recent drastic market growth. This technology is mostly utilized in large distribution centers processing mini-loads. With the recent increase in e-commerce practices fast delivery requirements with low volume orders have increased. SBS/RS provides ultrahigh-speed load handling due to having an excess amount of shuttles in the system. However not only the physical design of an automated warehousing technology but also the design of operational system policies would help with fast handling targets. In this work in an effort to increase the performance of an SBS/RS we apply a machine learning (ML) (i.e. Q-learning) approach on a newly proposed tier-to-tier SBS/RS design redesigned from a traditional tier-captive SBS/RS. The novelty of this paper is twofold: First we propose a novel SBS/RS design where shuttles can travel between tiers in the system, second due to the complexity of operation of shuttles in that newly proposed design we implement an ML-based algorithm for transaction selection in that system. The ML-based solution is compared with traditional scheduling approaches: first-in-first-out and shortest process time (i.e. travel) scheduling rules. The results indicate that in most cases the Q-learning approach performs better than the two static scheduling approaches.
Citation - WoS: 49
Citation - Scopus: 61
A simulation-based experimental design for SBS/RS warehouse design by considering energy related performance metrics
(Elsevier B.V., 2020) Banu Yetkin Yetkin Ekren; Ekren, Banu Y.
This paper deals with an experimental study for shuttle-based storage and retrieval system (SBS/RS) design to identify significant factors affecting the performance metrics in the system. SBS/RS is an automated warehouse technology developed to overcome recent order profile resulting from increased e-commerce. Recent order profile has been shaped towards more product variety with less volume and short response time. In SBS/RS technology each tier of an aisle typically has a dedicated shuttle processing orders hence it has a very high transaction rate compared to its opponents. Neverthless there can be several design options that can improve the performance of these systems. In this study first the significant design factors affecting the pre-defined SBS/RS performance measures (e.g. average cycle time and energy consumption for a transaction, amount of energy regeneration for a transaction etc.) are identified. Secondly the best levels of these critical design factors improving the performance measures are identified. For this purpose a statistical test namely Tukey's test is utilized. For the modelling purpose simulation modelling using ARENA 14.0 is utilized. The statistical analyses from the simulation results are performed using Minitab 17 statistical software. © 2019 Elsevier B.V. All rights reserved.
Citation - WoS: 60
Citation - Scopus: 69
A tool for time variance and energy related performance estimations in a shuttle-based storage and retrieval system
(Elsevier Inc. usjcs@elsevier.com, 2018) Banu Yetkin Yetkin Ekren; Anıl Akpunar; Zaki Sari; Tone Lerher; Akpunar, Anil; Lerher, Tone; Ekren, Banu Y.; Sari, Zaki
The aim of this study is to present a tool that can calculate critical performance measures of different Shuttle-Based Storage and Retrieval System (SBS/RS) designs. Specifically our aim is to develop an analytical model-based tool that can estimate the mean and variance of travel time of lifts and shuttles as well as the mean amount of energy consumption and energy regeneration per transaction for a pre-defined SBS/RS design. The methodology illustrated in this paper can also be utilized for any system having a straight discrete travel pattern with equal distance stop points. We are motivated in this study by a relatively new automated storage and retrieval technology SBS/RS. By the provided tool one can evaluate these systems’ performance promptly by changing the input design parameters (e.g. discrete travel lengths velocity of vehicles acceleration/deceleration of vehicles number of tiers number of bays etc.) of these systems. The analytical models used in the tool are verified via simulation for several SBS/RS design scenarios. As a result it is found that the proposed tool produces highly accurate results specifically less than 1% Absolute Percentage Error from the simulation results. © 2018 Elsevier B.V. All rights reserved.
Citation - Scopus: 2
Additive manufacturing and its impact on pharmaceutical supply chains
(Elsevier, 2024) Wenqi Li; Banu Yetkin Yetkin Ekren; Emel Aktas; Li, Wenqi; Aktas, Emel; Ekren, Banu Y.
Additive manufacturing (AM) also known as 3D printing has the potential to improve the performance of the pharmaceutical supply chain (PSC). By using 3D printing for manufacturing drugs pharmaceutical companies can reduce waste by using only the required number of raw materials and eliminating excess inventory. This chapter will provide a systematic literature review of the state of the art of AM in PSC and develop a conceptual framework to explain their interconnections. It was found that 3D printing impacts the SC in three main ways: reducing complexity moving manufacturing facilities closer to the end user and shifting production from make-to-stock to make-to-order. These changes influence the inventory level which in turn affects SC sustainability efficiency responsiveness and resilience. This study provides a conceptual framework that illustrates the interrelationships between various variables in the medical SC impacted by 3D printing technology. © 2024 Elsevier B.V. All rights reserved.
Citation - WoS: 38
Citation - Scopus: 46
An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system
(ELSEVIER SCIENCE INC, 2021) Banu Y. Ekren; Antl Akpunar; Akpunar, Antl; Ekren, Banu Y.
Recently growth in e-commerce has resulted in substantially increased investment in robotic technologies in warehouses especially for storage and retrieval devices. A shuttle-based storage and retrieval system (SBS/RS) is one of the robotic automated storage and retrieval technologies mostly used for a miniload material handling system in e-commerce warehouses. This new technology has been developed as an alternative to the traditional miniload crane-based automated storage and retrieval system. Because it has an autonomous order picker robot in each tier of the racking system the process rate for this new technology is very high. To evaluate several design options for an SBS/RS warehouse quickly we have developed analytical models for estimating important performance outputs of these systems. Specifically this study presents an open queuing network-based software tool that can quickly estimate some important performance metrics for a predefined SBS/RS warehouse design. Once the user enters the required input data values in the tool (e.g. the arrival rate of transactions in the system warehouse metrics number of tiers aisles and bays and velocity profiles of devices) the performance metric estimates can be obtained in terms of the mean cycle time of a transaction the mean energy consumption and energy regeneration per transaction the mean waiting time of a transaction the mean number of transactions waiting in a server (lift/shuttle) queue and the mean utilization of servers. (C) 2020 Elsevier Inc. All rights reserved.
An Open Vehicle Routing Problem for Daily Shipment Plan of a Local Bedding Company in Turkey
(Springer Science and Business Media Deutschland GmbH, 2020) Bartu Arslan; Özlem Erdin; Deniz Gülce Dağıstanlıoğlu; Ozan Bolel; Çağlar Su; Banu Yetkin Yetkin Ekren; Cansu Yurtseven; Yurtseven, Cansu; Su, Çağlar; Ekren, Banu Y.; Arslan, Bartu; Erdin, Özlem; Dağıstanlıoğlu, Deniz Gülce; Bolel, Ozan; M.N. Osman Zahid , R. Abd. Aziz , A.R. Yusoff , N. Mat Yahya , F. Abdul Aziz , M. Yazid Abu , N.M. Durakbasa , M.G. Gençyilmaz
This study deals with a daily shipment plan for a bedding company in Turkey. We develop a decision support system optimizing total travel distance of vehicles completing daily shipment plans. In detail the developed models both assign the shipment goods to capacitated vehicles as well as minimize the total travel distance of these vehicles by considering an open vehicle routing algorithm. The decision support system is coded by using the MS excel-macro and a user friendly tool is developed for users’ convenience. In the developed tool there are two different solution approaches: a mixed integer mathematical programming and a heuristic solution approaches. For the small size plans (i.e. less than 25 demand points) mathematical modelling guaranteeing the optimal solution can be utilized. For the large size cases the heuristic algorithm providing a near-optimal result promptly can be utilized. The macro-based tool is designed such a flexible way that the user can make any revisions on the provided plan whenever necessary. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 36
Citation - Scopus: 52
Assessing Supply Chain Innovations for Building Resilient Food Supply Chains: An Emerging Economy Perspective
(MDPI, 2023) Sudhanshu Joshi; Manu Sharma; Banu Y. Ekren; Yigit Kazancoglu; Sunil Luthra; Mukesh Prasad; Luthra, Sunil; Prasad, Mukesh; Joshi, Sudhanshu; Kazancoglu, Yigit; Ekren, Banu Y.; Sharma, Manu
Food waste reduction and security are the main concerns of agri-food supply chains as more than thirty-three percent of global food production is wasted or lost due to mismanagement. The ongoing challenges including resource scarcity climate change waste generation etc. need immediate actions from stakeholders to develop resilient food supply chains. Previous studies explored food supply chains and their challenges barriers enablers etc. Still there needs to be more literature on the innovations in supply chains that can build resilient food chains to last long and compete in the post-pandemic scenario. Thus studies are also required to explore supply chain innovations for the food sector. The current research employed a stepwise weight assessment ratio analysis (SWARA) to assess the supply chain innovations that can develop resilient food supply chains. This study is a pioneer in using the SWARA application to evaluate supply chain innovation and identify the most preferred alternatives. The results from the SWARA show that 'Business strategy innovations' are the most significant innovations that can bring resiliency to the food supply chains followed by 'Technological innovations.' The study provides insights for decision makers to understand the significant supply chain innovations to attain resilience in food chains and help the industry to survive and sustain in the long run.
Citation - WoS: 17
Citation - Scopus: 21
Assessing the Impact of COVID-19 on Sustainable Food Supply Chains
(MDPI, 2022) Yigit Kazancoglu; Melisa Ozbiltekin-Pala; Muruvvet Deniz Sezer; Banu Y. Ekren; Vikas Kumar; Ozbiltekin-Pala, Melisa; Sezer, Muruvvet Deniz; Kazancoglu, Yigit; Kumar, Vikas; Ekren, Banu Y.
Recently it has become an important issue to ensure sustainability especially in food supply chains against the rapidly growing population increasing demand and sudden disruptions caused by uncertain times such as that caused by COVID-19. Since food supply chains has vulnerable products and processes it is critical to understand the sustainability factors of food supply chains especially in uncertain times such during the COVID-19 pandemic. This study aims to determine sustainability factors of food supply chains. An Interpretive Structural Modelling method is used to state the relations between sustainability factors of food supply chains. As a result of the study Information Sharing and Managerial Approaches are classified as driving factors, Food Safety and Security Know-How Transfer Logistics Networking Risk Mitigation Employee Commitment Innovation Traceability and Responsiveness are categorized as linkage factors. This article will be beneficial for managers in helping them develop sustainable food supply chains during uncertain times by focusing on traceability information sharing know-how transfer food safety and security.
Citation - WoS: 21
Citation - Scopus: 26
Autonomous mobile robot travel under deadlock and collision prevention algorithms by agent-based modelling in warehouses
(TAYLOR & FRANCIS LTD, 2024) Ecem Eroglu Turhanlar; Banu Y. Ekren; Tone Lerher; Lerher, Tone; Turhanlar, Ecem Eroglu; Ekren, Banu Y.
Recent dramatic increase in e-commerce has also increased the adoption of automation technologies in warehouses. Autonomous mobile robots (AMRs) are from those technologies widely utilized in warehouse operations. It is important to design the operation of those robotic systems in such a way that they meet the current and future system requirements correctly. In this paper we study flexible travel of AMRs in warehouses by developing smart deadlock and collision prevention algorithms on agent-based modelling. By that AMR agents can interact with each other and environment so that they can make smart decisions maximizing their goals. We compare the performance of the developed flexible travel system with non-flexible designs where there is a single AMR dedicated to a specific zone so that no deadlock or collision possibility takes place. The results show that AMRs may provide up to 39% improvement in the flexible system compared to its non-flexible design.
Citation - WoS: 36
Citation - Scopus: 43
Cost and performance comparison for tier-captive and tier-to-tier SBS/RS warehouse configurations
(Blackwell Publishing Ltd, 2021) Melis Küçükyaşar; Banu Yetkin Yetkin Ekren; Tone Lerher; Y. Ekren, Banu; Küçükyaşar, Melis; Lerher, Tone; Ekren, Banu Y.
This paper compares two shuttle-based storage and retrieval system (SBS/RS) configurations developed on travel policy of shuttles in the systems. Specifically we compare two system configurations of SBS/RS: SBS/RS with tier-captive shuttles and SBS/RS with tier-to-tier shuttles. In a tier-captive SBS/RS warehouse design there is a dedicated shuttle in each tier that cannot travel between tiers. Due to a large number of shuttles in such a configuration lifts are always bottlenecks and the utilizations of shuttles are very low. In this study we propose an alternative SBS/RS design with tier-to-tier shuttles in which shuttles can travel between tiers by using a separate lifting mechanism dedicated for them. The advantage of this design would be reduction in investment cost due to the decreased number as well as higher utilizations of shuttles in the system. The two configurations were compared on the following performance metrics: initial investment costs throughput rates per hour and average energy consumption per transaction when there is a regeneration mechanism in the system. In a tier-to-tier SBS/RS design allowing shuttles to travel between tiers increases operational complexity of the system. Thus we simulate the two system designs and compare their performance metrics by conducting several rack design experiments based on the number of aisles tiers and bays. The results of this study suggest that there may be a better configuration in terms of total investment cost and throughput rate in a newly proposed tier-to-tier SBS/RS design that could be considered as an alternative to a tier-captive SBS/RS design. © 2021 Elsevier B.V. All rights reserved.
Citation - Scopus: 1
Design and Operation of Singleand Multi-deep Shuttle-Based Storage and Retrieval Systems (SBS/RS)
(Springer International Publishing, 2024) Tone Lerher; Jakob Marolt; Fabio Sgarbossa; Banu Yetkin Yetkin Ekren; Goran Dukic; Marolt, Jakob; Sgarbossa, Fabio; Dukic, Goran; Lerher, Tone; Ekren, Banu Y.
With the rapid growth of e-commerce practices the efficient management of warehouses and fulfilment centres has become crucial in supply chain operations. One effective strategy for achieving this efficiency is the digital transformation of warehouses through automation. In particular shuttle-based storage and retrieval systems (SBS/RS) have gained significant attention due to their ultra-high transaction process capability. However ongoing research focuses on enhancing the operating performance and cost efficiency of these SBS/RS designs. This chapter presents mathematical modelling approaches for estimating the performance of single- and multi-deep SBS/RS designs. These models provide valuable insights for designing warehouses that optimize transaction process rates while ensuring a balanced utilization of elevators and shuttles in the system tailored to meet the specific requirements of the warehouse. By leveraging these modelling techniques warehouse managers can make informed decisions regarding the design and configuration of SBS/RSs to improve overall operational efficiency and productivity. © 2025 Elsevier B.V. All rights reserved.
Citation - Scopus: 10
Engineering education towards industry 4.0
(IEOM Society ieom-society@iieom.org, 2020) Banu Yetkin Yetkin Ekren; Vikas Kumar; Kumar, Vikas; Ekren, Banu Y.
Many countries are now entering the stage of the Fourth Industrial Revolution also referred to as Industry 4.0 in which technological advances enable disruptive changes in the industry. Industry 4.0 development changes the way people work and the work is organized. Currently there is a lack of qualified workers capable of undertaking the jobs of the Industry 4.0 and unfortunately many schools and universities are still training students behind the Industry 4.0. The new industry 4.0 developments have created requirement of new cross-functional roles on the emerging knowledge and skills combining information technology (IT) and production. Therefore it is important to understand the characteristics of knowledge and skills required for the future of jobs and engineering profiles to determine the emerging patterns in the delivery of new education requirements of Industry 4.0. This work aims to address how the future of higher education should be towards Industry 4.0 developments for engineering faculties. We also aim to present what the technological trends in education as well as how the universities are required to integrate the new innovative and multidisciplinary approaches in teaching and how to stimulate entrepreneurial and digital skills in higher education and boost curricula adjustments. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 6
Citation - Scopus: 4
Enhancing e-grocery order fulfillment: improving product availability- cost- and emissions in last-mile delivery
(SPRINGER, 2025) Banu Y. Ekren; Sara Perotti; Laura Foresti; Lorenzo Prataviera; Perotti, Sara; Foresti, Laura; Ekren, Banu Y.; Prataviera, Lorenzo
This paper studies e-grocery order fulfillment policies by leveraging both customer and e-grocery-based data. Through the utilization of historical purchase data product popularity trends and delivery patterns allocation strategies are informed to optimize performance metrics such as fill rate carbon emissions and cost per order. The study aims to conduct a sensitivity analysis to identify key drivers influencing these performance metrics. The results highlight that fulfillment policies optimized with the utilization of the mentioned data metrics demonstrate superior performance compared to policies not informed by data. These findings underscore the critical role of integrating data-driven models in e-grocery order fulfillment. Based on the outcomes a grocery allocation policy considering both proximity and product availability emerges as promising for simultaneous improvements in several performance metrics. The study recommends that e-grocery companies leverage customer data to design and optimize delivery-oriented policies and strategies. To ensure adaptability to new trends or changes in delivery patterns continual evaluation and improvement of e-grocery fulfillment policies are emphasized.
Citation - Scopus: 1
Evaluation of fuel production technologies by using renewable energy for smart cities
(Elsevier, 2022) Celal Hakan Canbaz; Orhan Ekren; Banu Yetkin Yetkin Ekren; Vikas Kumar; Ekren, Orhan; Canbaz, Celal Hakan; Kumar, Vikas; Ekren, Banu Y.
Fuels that are environment-friendly resources play a vital role in the development of economies. Each fuel resource has intensive however inadequate specifications in terms of security sustainability capacity to compete with other sources. Although oil and gas resources lead the way of fuel production due to their low cost alternative sources such as wind and solar renewable energy and nuclear energy have also gained popularity forcing the technological development of fuel production technologies. Hydrogen is a source for the production of energy by using any energy resource. In this chapter we investigate the latest fuel production technologies providing energy outputs from renewable energy resources for their usage in smart cities. We study the role of renewable resources under the current dynamics of the global energy market situation as well as the effects of fuel production technologies to increase the efficiency and sustainability for the future of smart cities. This review includes a broad spectrum that spans from the technical energy resources literature with very comprehensive research by using SCOPUS database to nontechnical but renowned resources including journals and other publications including raw data as well as forecasts and opinions that respected experts have performed. Specifically solar and wind production technologies as well as future forecasts compared with the conventional fuel resources are reviewed comprehensively. By that we aim to shed a light on the current status of fuel production technologies in renewable energy resources and their usage in smart cities. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 15
Citation - Scopus: 20
Identifying the Drivers of Circular Food Packaging: A Comprehensive Review for the Current State of the Food Supply Chain to Be Sustainable and Circular
(Multidisciplinary Digital Publishing Institute (MDPI), 2023) Erhan Ada; Yigit Kazancoglu; Çisem Lafci; Banu Yetkin Yetkin Ekren; Cansu Çimitay Çelik; Lafci, Cisem; Çimitay Çelik, Cansu; Ada, Erhan; Kazancoglu, Yigit; Celik, Cansu Cimitay; Ekren, Banu Y.
The resilience of food systems is jeopardized by using food packaging materials that have adverse impacts on the environment food quality food safety shelf-life food loss and waste. Therefore a transition into a more sustainable system can only be possible by adopting circular economy principles and practices that can facilitate the elimination of unsustainable packaging irresponsible disposal behaviors and waste management. This paper mainly focuses on circular packaging practices in the existing literature to reveal the drivers of circular food packaging applications. The study also displays the triple combinations of material-sector material-CE and sector-CE principles. As a methodology a systematic literature review (SLR) has been used for this study. Furthermore this study investigates the literature findings such as the most frequently mentioned food sector and sub-sector CE principles materials adopted for food packaging and so on. The primary contribution of this study to the body of literature is the synthesis and mapping of the literature as a whole from the perspectives of CE principles both sector-based and national and the materials used through circular food packaging and the attempt to facilitate this transition into a more circular system by outlining the drivers of circular food packaging. © 2023 Elsevier B.V. All rights reserved.
Citation - Scopus: 2
Intelligent Supply Chains Through Implementation of Digital Twins
(Springer Science and Business Media Deutschland GmbH, 2022) Oray Kulaç; Banu Yetkin Yetkin Ekren; Ayhan Özgür Toy; Toy, A. Ozgur; Kulac, Oray; Ekren, Banu Y.; C. Kahraman , S. Cevik Onar , B. Oztaysi , I.U. Sari , A.C. Tolga , S. Cebi
Data-driven decision-making process can be defined to be the sequential activities of real-time data collection data analytics optimization and decision making. Developments in Industry 4.0 technologies have made it possible to realize that new quality decision-making process. When that decision-making process is performed under the simulation model of a system developed on real-time data-based and end-to-end connection manner to prevent the disruption risks and to improve resilience in a system then it constitutes a digital twin (DT). A DT is a virtual representation of an object or system that can help organizations monitor operations perform predictive analytics and improve processes. For instance a DT could provide a digital replica of the operations of a factory communications network or the flow of goods through a supply chain system. In this work we focus on DT implementations in supply chain networks. We present state of the art implementation of DTs in supply chains and their prospective utilizations towards creating intelligent supply chains. © 2022 Elsevier B.V. All rights reserved.
Citation - WoS: 2
Citation - Scopus: 2
Multi-objective Inventory Optimization Problem for a Sustainable Food Supply Network under Lateral Inventory Share Policy
(Elsevier B.V., 2022) Banu Yetkin Yetkin Ekren; Ritwika Chattopadhyay; Vikas Kumar; Chattopadhyay, Ritwika; Kumar, Vikas; Ekren, Banu Y.; A. Bernard , A. Dolgui , H.H. Benderbal , D. Ivanov , D. Lemoine , F. Sgarbossa
This study dives deep into a lateral supply chain network for perishable food products and aims to determine optimal re-order and order up to levels for multiple e-groceries within a common network using a simulation-based optimization technique. The algorithm aims to minimize the average inventory carried within the network while accounting for parameters like reduced wastage improved customer satisfaction level and a limited number of replenishments. © 2022 Elsevier B.V. All rights reserved.
Next generation digital engineering education: Moocs
(IEOM Society, 2020) Banu Yetkin Yetkin Ekren; Vikas Kumar; Kumar, Vikas; Ekren, Banu Y.
Recent Industry 4.0 and technological developments have created disruptive changes in industries as well as our lives. Digitalization is one of the innovative results of recent Industry 4.0 developments improving the quality of our life increasing the productivity in industries. Those technological developments have also affected the educational system by transforming it to more digitized environment. For instance according to the 2016 Chronicle of Higher Education report the new “learning economy” of the future is defined on some technological trends. New trends in higher education systems and institutions are: developing innovative curricula searching alternative learning pathways that can be implemented by online distance open and blended-based learnings as well as courses such as Massive Online Open Courses (MOOCs) and Open Education Resources (OERs). MOOCs is an online learning platform by which higher education gains new paths as well as lifelong learning opportunities. It also provides flexibility in education alternatives for students and cost efficiency for institutional education. In this work we spotlight the digitization in higher education by focusing on digital learning platforms at universities. © 2020 Elsevier B.V. All rights reserved.
Citation - WoS: 16
Citation - Scopus: 21
Omni-Chanel Network Design towards Circular Economy under Inventory Share Policies
(MDPI, 2021) Damla Izmirli; Banu Y. Ekren; Vikas Kumar; Siwarit Pongsakornrungsilp; İzmirli, Damla; Kumar, Vikas; Pongsakornrungsilp, Siwarit; Ekren, Banu Y.
In this paper we study inventory share policies in an omni-channel supply network to contribute to the circular economy (CE) concept. Lateral inventory share implementation provides flexibility and profitability in the supply chain by allowing inventory share between the same echelon locations in a network. Total holding costs and transportation costs can be reduced by lateral inventory share applications which also contribute to decreased material usage for production over time as well as reduced CO2 emission released by transportation. Technological and Internet of Things (IoT) developments make it possible for companies to share their real-time information with each other for uninterrupted marketing experiences. With such a connected network companies aim to increase their profitability and responsiveness to their customers. We explore a well-designed inventory share policy towards the CE concept under an (s S) inventory control policy. We simulate several pre-defined share designs by Arena 16.0 commercial software and compare their performances in terms of cost responsiveness transportation frequency inventory held etc. The results show that by the implementation of a well-designed lateral inventory share policy an omni-channel network can benefit from decreased holding cost and transportation cost contributing to the CE concept.