Arama Sonuçları

Listeleniyor 1 - 5 / 5
  • Yayın
    A mathematical model for perishable products with price- and displayed-stock-dependent demand
    (Elsevier Ltd, 2016-12) Önal, Mehmet; Yenipazarlı, Arda; Kundakçıoğlu, Ömer Erhun
    We introduce an economic order quantity model that incorporates product assortment, pricing and space-allocation decisions for a group of perishable products. The goal is to maximize the retailer's profit under shelf-space and backroom storage capacity constraints. We assume that the demand rate of a product is a function of the selling prices and the displayed stock levels of all the products in the assortment. We propose a Tabu Search based heuristic method to solve this complex problem.
  • Yayın
    A stochastic risk-averse framework for blood donation appointment scheduling under uncertain donor arrivals
    (Springer, 2020-12) Yalçındağ, Semih; Baş Güre, Seda; Carello, Giuliana; Lanzarone, Ettore
    Blood is a key resource in all health care systems, usually drawn from voluntary donors. We focus on the operations management in blood collection centers, which is a key step to guarantee an adequate blood supply and a good quality of service to donors, by addressing the so-called Blood Donation Appointment Scheduling problem. Its goal is to employ appointment scheduling to balance the production of blood units between days, in order to provide a reasonably constant supply to transfusion centers and hospitals, and reduce non-alignments between physicians' working times and donor arrivals at the collection center. We consider a two-phase solution framework taken from the literature, in which a deterministic linear programming model preallocates time slots to different blood types and a prioritization policy assigns the preallocated slots to the donors when they make a reservation. However, the problem is stochastic in nature and requires consideration of the uncertain arrivals of non-booked donors. In this work, to include the uncertain arrivals, we propose three stochastic counterparts of the preallocation model based on a risk-neutral objective and two risk-averse objectives, respectively, where the Conditional Value-at-Risk is considered as the risk measure in the last two methods. The resulting stochastic frameworks have been tested considering the historical data of one of the largest Italian collection centers, the Milan Department of the "Associazione Volontari Italiani Sangue" (AVIS). Results show the effectiveness of the stochastic models, especially the mean-risk one, and the need to include the uncertainty of arrivals in order to better balance the production of blood units.
  • Yayın
    Optimal investment levels to eliminate inventory inaccuracy in a two-level supply chain
    (Istanbul Technical Univ, 2007) Uçkun, Canan; Karaesmen, Ahmet Fikri; Savaş, Selçuk
    Inventory inaccuracy is a major problem in supply chains. RFID technology is anticipated to alleviate this problem at the expense of the required hardware and software investment. For a supply chain consisting of single supplier and multiple warehouses, we investigate the optimal levels of investment in order to decrease inventory inaccuracy. The analysis yields in-sights on the relative benefits of RFID implementation depending on factors such as demand and inaccuracy variability, financial parameters and supply chain structure.
  • Yayın
    Inventory management and profitability: Turkish it distributors listed in Borsa Istanbul
    (Işık Üniversitesi, 2022-02-02) Oksal, Ahmet Kaan; Falcıoğlu, Pınar; Işık Üniversitesi, Lisansüstü Eğitim Enstitüsü, Yöneticiler İçin İşletme Yönetimi (İngilizce) Yüksek Lisans Programı
    One of the main factors in determining the company's success is its management of scarce capital and business strategies. In today competitive environment, businesses must have sufficient working capital in order to ensure their survival. Inventory is one of the key factor in the working capital management. Inventory management effects on the profitability investigated with correlation and regression analysis conducted via balance sheets and income statements of firms using only four Turkish Information Technologies distributors which listed on Istanbul Stock Exchange XBLSM Index (Borsa Istanbul (BIST)) over a period of 10 years from 2010-2020. Profitability measured by Change in Gross Profit Margin and inventory management measured by Change in Inventory Turnover Dates, Change in Account Receivables Turnover Days, Change in Sales and Change in Stocks. Quarterly financial reports used for the research. The data for the analysis is collected from the Public Disclosure Platform (PDP) database, which contains financial information on all stock exchange firms. While correlation analysis shows statistically meaningful relationship, regression analysis did not show any statistically meaningful relationship between the inventory management and the profitability in the study.
  • Yayın
    Investment in improved inventory accuracy in a decentralized supply chain
    (Elsevier Science BV, 2008-06) Uçkun, Canan; Karaesmen, Ahmet Fikri; Savaş, Selçuk
    It is known that inaccurate inventory records can lead to profit losses in a supply chain. Inventory records may not be correct due to various reasons such as transaction errors, misplacement, shrinkage, etc. In order to eliminate inventory inaccuracy, companies may invest in new information technologies such as radio frequency identification (RFID). In this paper, we consider a supply chain consisting of a retailer (distributor) and a supplier. We assume a single-period newsvendor-type setting where the retailer purchases the items from the supplier and distributes them to the regional warehouses. The paper focuses on the problem of finding the optimal investment levels that maximize profit by decreasing inventory inaccuracy. The optimal level of investment is examined both for the centralized and the decentralized systems under two scenarios: inventory sharing between the warehouses is allowed and not allowed. The coordination problem is also considered for both scenarios. Finally, several extensions of the model are considered: asymmetric warehouse parameters, demand and inventory inaccuracy correlation and imperfect RFID implementation.