Browsing by Author "Bayram, A."
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Conference paperPublication Metadata only Analysis of customer switching behavior in omni-channel retailing(Institute of Industrial and Systems Engineers, IISE, 2020) Cesaret, Bahriye; Bayram, A.; Business Administration; CESARET, BahriyeOmni-channel retailing is a recent approach that allows customers to purchase products from anywhere and return them anywhere and allows retailers to fulfill orders from anywhere. This flexibility improves the customer experience by integrating all channels, allows retailers to achieve more availability and drives the sales and traffic of the retailers. In this study, we consider two omni-channel implementations: (i) ship-from-store, and (ii) home delivery, by considering customer switching behavior across the sales channels. Store customers can be fulfilled in store or they can ask for home delivery. Online orders, on the other hand, can be shipped either from the fulfillment center or from any other store location that maximizes the overall profit of the retailer. We further consider that both store and online customers can switch across channels. We build a dynamic programming framework to investigate optimal fulfillment decisions for both online and store orders. We incorporate the uncertainty both in demand and in the cost of shipment to individual customers. We present our results through optimal fulfillment strategies and numerical experiments.Book ChapterPublication Metadata only Curb space management in urban mobility system(Springer Nature, 2019) Yu, M.; Bayram, A.; Cesaret, Bahriye; Business Administration; Fathi, M.; Khakifirooz, M.; Pardalos, P. M.; CESARET, BahriyeCurb space management and traffic flow are two important elements of the transportation system that interact with each other and affect the overall system performance. Moreover, the growth of new mobility operators and goods delivery in urban result in a growing demand for pickup/drop off access to the curb sides. The curb space is now also a spot for pickup/drop off passengers and loading/unloading goods. Thus, the traditional use of curb space for parking only is challenged and it becomes important to manage the curb space effectively and determine the optimal capacity decisions for different uses. Our study investigates the allocation of curb space for various uses so that the overall transportation system performance can be enhanced. We simulate the transportation system and analyze the interactions between traffic flow and curb space usage. We propose optimal capacity allocation decisions that ensure a smooth traffic flow. We derive optimal curb space allocation policies that vary according to the customer demand during the day.ArticlePublication Metadata only Efficient combinational circuits for division by small integer constants(IEEE, 2016) Uğurdağ, Hasan Fatih; Bayram, A.; Levent, Vecdi Levent; Gören, S.; Electrical & Electronics Engineering; UĞURDAĞ, Hasan Fatih; Levent, Vecdi LeventDivision of an integer by an integer constant is a widely used operation and hence justifies a customized efficient implementation. There are various versions of this operation. This paper attacks a particular version of this problem, where the divisor is small and the circuit outputs a quotient and remainder. We propose a fast (low-latency) yet area-efficient combinational circuit topology, which we call Binary Tree based Constant Division (BTCD). BTCD uses a collection of small LUTs wired to each other to form a binary tree. The circuit also has bunch of adders, whose latencies are almost hidden as they operate in parallel with the binary tree. We wrote RTL code generators for BTCD and two previous works in the literature, then generated circuits for dividends of up to 128 bits and divisors of 3, 5, 11, and 23. We synthesized the generated RTL designs using a commercial ASIC synthesis tool. BTCD strikes a good balance between timing (latency) and area. It is up to 3.3 times better in Area-Timing Product (ATP) compared to the best alternative. ATP has a good correlation with energy consumption.ArticlePublication Metadata only Order fulfillment policies for ship-from-store implementation in omni-channel retailing(Elsevier, 2021-11-01) Bayram, A.; Cesaret, Bahriye; Business Administration; CESARET, BahriyeOne of the recent trends in omni-channel retailing is ship-from-store which allows a retailer to fulfill online orders by using inventory from a nearby store. The benefits of this fulfillment model include faster delivery, lower shipment costs, higher in-stock probability, increased sales and customer satisfaction, etc. Despite its many benefits, this fulfillment model introduces many new operational challenges to the retailer, including the need to identify from which location to fulfill an online order when it arrives. In this study, we consider a retailer having both online and store operations, with each channel carrying its own inventory. Store orders are fulfilled from store inventories, whereas an online order can be shipped either from an online fulfillment center or from any other store that maximizes the retailer's overall profit. Our study investigates dynamic fulfillment decisions: from which location to fulfill an online order when it arrives. We incorporate the uncertainty both in demand and in the cost of shipment to individual customers to characterize the optimal cross-channel fulfillment policy. Due to the optimal policy being computationally intractable for large-sized problems, we construct an intuitive heuristic policy to guide the retailers in their fulfillment decisions. We find that the proposed heuristic method is effective and obtains solutions within a reasonable amount of time for the cross-channel fulfillment problem.ArticlePublication Metadata only Selecting a winning team: Management of surgical team composition in robotic surgery(Elsevier, 2023-01) Bayram, A.; Solak, S.; Harmanli, O.; Cesaret, Bahriye; Business Administration; CESARET, BahriyeSurgical robots can offer higher precision, flexibility, and control during surgeries compared to conventional approaches. Robotic surgeries lead to a decrease in surgical error rates, lengths of hospital stays, and patient recovery times. The effectiveness of robotic surgeries depends on many factors, including the individual performance of team members. Although the experience of every team member makes a difference, the performance in the operating room depends as well on the cohesion among surgical team members. In this study, we address a team composition problem in robotic surgery in which we evaluate the efficiency of an operating room by assessing individual and dependent performances of surgical team members. We build a two-stage stochastic programming model, where the team members’ performance values are stochastic, to decide on team compositions. We propose two easy-to-implement algorithms based on implementations of data analyses and a stochastic programming model to identify surgical team compositions where the resulting computational difficulties are addressed through the Lagrangian decomposition procedure. We also describe computational results based on actual historical data, which indicate that the operating room time and surgical team performances can be improved if the proposed policies are implemented. With the model developed, surgical team composition decisions can be made more systematically and effectively. We also highlight the importance of considering individual and dependent performances of all surgical team members on operating room time and overall team performance.Conference paperPublication Metadata only Ship-from-store operations in omni-channel retailing(Institute of Industrial Engineers, 2017) Bayram, A.; Cesaret, Bahriye; Business Administration; Coperich, K.; Nembhard, H.; Cudney, E.; CESARET, BahriyeOne of the recent trends in omni-channel retailing is ship-from-store which allows a retailer to fulfill online orders from a brick-and-mortar store. The benefits of this relatively new fulfillment model includes faster delivery, lower transportation costs, higher in-stock probability, increased sales and customer service, etc. Despite the many benefits, the model introduces many new operational challenges to the retailer. Retailer needs to identify which stores should be integrated as active fulfillment centers, and from which location to satisfy an online order when it arrives. Best Buy, Macy's and Walmart successfully integrate ship-from-store to their fulfillment strategies. We consider a retailer having both online and store operations and each channel carrying its own inventory. Store orders are fulfilled from store inventories, but for an online order the retailer can ship either from the online distribution center or from any other store location that maximizes the overall profit. Our study investigates dynamic fulfillment decisions: from which location to fulfill an online order when it arrives. We incorporate the uncertainty both in demand and in the cost of shipment to individual customers. We develop a stochastic dynamic framework and present some results on optimal fulfillment strategies.