The Experts below are selected from a list of 168651 Experts worldwide ranked by ideXlab platform
Alfred L. Guiffrida - One of the best experts on this subject based on the ideXlab platform.
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Improving Delivery Performance for gamma distributed Delivery time
International Journal of Business Performance and Supply Chain Modelling, 2019Co-Authors: Maxim A. Bushuev, Alfred L. GuiffridaAbstract:This paper investigates strategies for improving Delivery Performance to the end customer in a two-stage supply chain. A cost-based analytical model is used to evaluate how the expected penalty cost resulting from early and late Delivery can be reduced. The effects of the width of the Delivery window and the shape and scale parameters of the gamma distributed Delivery time distribution on the expected penalty cost are explored. The model can guide practitioners who are attempting to cost-justify a program to improve Delivery Performance. It can also be used to estimate cost reduction over several deliveries and compare cost savings with required investments into Delivery Performance improvement. The model overcomes the limitations of previous Delivery improvement studies which did not used an optimally positioned Delivery window and were limited to symmetric Delivery time distributions.
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Supply chain Delivery Performance improvement for several Delivery time distributions
International Journal of Operational Research, 2018Co-Authors: Maxim A. Bushuev, Alfred L. Guiffrida, Tatiana RudchenkoAbstract:This paper investigates strategies for improving supply chain Delivery Performance when the cumulative density function of the Delivery time distribution exists in closed form. Delivery Performance is measured using a cost-based analytical model which evaluates the expected cost for early and late Delivery. The effect of changes to the parameters of the Delivery time distribution on the expected cost of untimely Delivery is explored. Strategies for improving Delivery Performance utilising the mean and variance of the Delivery time distribution are studied for the uniform, exponential, and logistic Delivery time distributions when a supplier uses an optimally positioned Delivery window to minimise the expected cost of untimely Delivery. Theoretical and managerial implications of the findings are discussed.
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A modelling framework for improving supply chain Delivery Performance
International Journal of Business Performance and Supply Chain Modelling, 2016Co-Authors: Thomas Ngniatedema, Lihua Chen, Alfred L. GuiffridaAbstract:The evaluation of Delivery Performance is a crucial component in the overall management and control of a supply chain. The main objective of this research is to develop a framework that can be used to improve the Delivery Performance of a supplier to the end customer in a supply chain. The framework provides a bound on the financial investment required to make improvement to the Delivery process. A variance reduction modelling approach is used that directly incorporates the uncertainty in the Delivery time distribution into a financial Delivery Performance metric. The framework is demonstrated using numerical illustrations.
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An optimization framework for improving supplier Delivery Performance
Applied Mathematical Modelling, 2015Co-Authors: Kuntal Bhattacharyya, Alfred L. GuiffridaAbstract:Abstract Given the growing importance of supplier Delivery Performance in buyer–supplier alignment and end-to-end fulfillment of supply chains, we investigate the managerial implications of a buyer who financially invests to improve a supplier’s Delivery Performance by demonstrating an optimization model for the buyer’s investment decision to reduce untimely Delivery. We illustrate how improving supplier Delivery Performance leads to better supplier management. Our analysis utilizes the ingenious zeta transforms widely used in engineering to showcase its applicability in today’s complex supply landscapes that use multiple suppliers to create efficient frontiers for diverse sourcing initiatives.
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Reducing the cost of untimely supply chain Delivery Performance for asymmetric Laplace distributed Delivery
Applied Mathematical Modelling, 2015Co-Authors: Yertai Tanai, Alfred L. GuiffridaAbstract:Abstract Models for evaluating supply chain Delivery Performance commonly assume a Gaussian Delivery time distribution when the true underlying Delivery time probability density function (PDF) cannot be analytically determined. Recent research has identified limitations to using the Gaussian PDF and has demonstrated the advantages of using the asymmetric Laplace PDF to model a supply chain Delivery time distribution. Current models which use the asymmetric Laplace to model a supply chain Delivery time distribution are limited in their scope of application for modeling continuous improvement of Delivery Performance. In this paper we present a more robust asymmetrical Laplace Delivery Performance model which overcomes limitations found in the current set of models. A set of propositions for modeling Delivery improvement in terms of both the mean and variance of the Delivery time distribution are presented. The results of a set of 48 numerical examples conducted across a range of key input parameters are used to illustrate the Delivery improvement capabilities of the model.
Ulf Bondesson - One of the best experts on this subject based on the ideXlab platform.
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Reply to "Comment on 'In Vivo Drug Delivery Performance of Lipiodol-Based Emulsion or Drug-Eluting Beads in Patients with Hepatocellular Carcinoma'".
Molecular pharmaceutics, 2017Co-Authors: Ilse R. Dubbelboer, Elsa Lilienberg, Amar Karalli, Rimma Axelsson, Charlotte Ebeling Barbier, Frans Duraj, Agneta Norén, Torkel B Brismar, Mikael Hedeland, Ulf BondessonAbstract:Reply to "Comment on 'In Vivo Drug Delivery Performance of Lipiodol-Based Emulsion or Drug-Eluting Beads in Patients with Hepatocellular Carcinoma'"
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In Vivo Drug Delivery Performance of Lipiodol-Based Emulsion or Drug-Eluting Beads in Patients with Hepatocellular Carcinoma.
Molecular Pharmaceutics, 2017Co-Authors: Elsa Lilienberg, Ilse R. Dubbelboer, Amar Karalli, Rimma Axelsson, Charlotte Ebeling Barbier, Frans Duraj, Agneta Norén, Torkel B Brismar, Mikael Hedeland, Ulf BondessonAbstract:Doxorubicin (DOX) delivered in a lipiodol-based emulsion (LIPDOX) or in drug-eluting beads (DEBDOX) is used as palliative treatment in patients with intermediate-stage hepatocellular carcinoma (HCC). The primary objective of this study was to evaluate the in vivo Delivery Performance of DOX from LIPDOX or DEBDOX in HCC patients using the local and systemic pharmacokinetics of DOX and its main metabolite doxorubicinol (DOXol). Urinary excretion of DOX and DOXol and their short-term safety and antitumor effects were also evaluated. In this open, prospective, nonrandomized multicenter study, LIPDOX (n = 13) or DEBDOX (n = 12) were injected into the feeding arteries of the tumor. Local (vena cava/hepatic vein orifice) and systemic (peripheral vein) plasma concentrations of DOX and DOXol were determined in samples obtained up to 6 h and 7 days after treatment. Tumor response was assessed using computed tomography or magnetic resonance imaging. The Cmax and AUC0–24 h for DOX were 5.6-fold and 2.4-fold higher in...
Maxim A. Bushuev - One of the best experts on this subject based on the ideXlab platform.
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Improving Delivery Performance for gamma distributed Delivery time
International Journal of Business Performance and Supply Chain Modelling, 2019Co-Authors: Maxim A. Bushuev, Alfred L. GuiffridaAbstract:This paper investigates strategies for improving Delivery Performance to the end customer in a two-stage supply chain. A cost-based analytical model is used to evaluate how the expected penalty cost resulting from early and late Delivery can be reduced. The effects of the width of the Delivery window and the shape and scale parameters of the gamma distributed Delivery time distribution on the expected penalty cost are explored. The model can guide practitioners who are attempting to cost-justify a program to improve Delivery Performance. It can also be used to estimate cost reduction over several deliveries and compare cost savings with required investments into Delivery Performance improvement. The model overcomes the limitations of previous Delivery improvement studies which did not used an optimally positioned Delivery window and were limited to symmetric Delivery time distributions.
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Supply chain Delivery Performance improvement for several Delivery time distributions
International Journal of Operational Research, 2018Co-Authors: Maxim A. Bushuev, Alfred L. Guiffrida, Tatiana RudchenkoAbstract:This paper investigates strategies for improving supply chain Delivery Performance when the cumulative density function of the Delivery time distribution exists in closed form. Delivery Performance is measured using a cost-based analytical model which evaluates the expected cost for early and late Delivery. The effect of changes to the parameters of the Delivery time distribution on the expected cost of untimely Delivery is explored. Strategies for improving Delivery Performance utilising the mean and variance of the Delivery time distribution are studied for the uniform, exponential, and logistic Delivery time distributions when a supplier uses an optimally positioned Delivery window to minimise the expected cost of untimely Delivery. Theoretical and managerial implications of the findings are discussed.
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Delivery Performance improvement in two-stage supply chain
International Journal of Production Economics, 2018Co-Authors: Maxim A. BushuevAbstract:Abstract This paper investigates strategies of supply chain Delivery Performance improvement. The Performance is measured using a cost-based analytical model which evaluates the expected penalty cost for early and late Delivery. The results demonstrate strategies for improving Delivery Performance when a supplier uses an optimally positioned Delivery window to minimize the expected penalty cost. The effect of the width of the Delivery window and penalty costs for early and late deliveries on the optimal position of the Delivery window and the expected penalty cost are explored in general case. In addition to that, the effect of a mean and variance parameters of a normal Delivery time distribution are revised. Theoretical and managerial implications of the findings are discussed.
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Improving Delivery Performance for asymmetric Laplace distributed Delivery time in a two-stage supply chain
International Journal of Production Research, 2017Co-Authors: Maxim A. Bushuev, Jay R. Brown, Tatiana RudchenkoAbstract:This paper investigates strategies for improving supply chain Delivery timeliness when the Delivery time follows an asymmetric Laplace distribution. Delivery Performance is measured using a cost-ba...
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Supply chain Delivery Performance: Points of view of a supplier and a buyer
2013Co-Authors: Maxim A. BushuevAbstract:The need for Performance measurement and evaluation in supply chain management is well recognized in the literature. The timeliness of Delivery is a key concern to customers and numerous empirical studies have documented the importance that on time Delivery plays in the operation of the supply chain. Supply chain Delivery Performance models are based on the concept of the Delivery window, which is defined as the difference between the earliest acceptable Delivery date and the latest acceptable Delivery date. In the dissertation supply chain Delivery Performance is evaluated from a supplier’s and a buyer’s prospective. The research introduces a concept of the optimal positioning of the Delivery window in a serial supply chain. Optimally positioning the Delivery window minimizes the expected penalty cost due to early and late Delivery. The conditions for the optimal position of the Delivery window are derived for the general form of a Delivery time distribution. The research herein addresses strategies of Delivery Performance improvement using a cost based Delivery Performance model and evaluates the effect of different parameters on the expected penalty cost. An understanding of these analytical properties provides a strong foundation for identifying and integrating strategies to improve Delivery Performance. Furthermore, we investigate how the timeliness of the Delivery will affect the inventory cost structure of a buyer in a two stage supply chain. From the perspective of the buyer, untimely Delivery can impact inventory holding and stockout costs. We formulate the supply chain Delivery window problem as a stochastic model with three possible Delivery outcomes (early, on time, and late Delivery) and integrate this feature with an inventory model with two levels of storages (owned warehouse and rented warehouse). This comparison and supporting analysis bridges existing gaps found in the literature and contributes to linking and coordinating the Delivery and inventory sub processes within supply chains. Theoretical and managerial implications of the findings are discussed.
Ilse R. Dubbelboer - One of the best experts on this subject based on the ideXlab platform.
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Reply to "Comment on 'In Vivo Drug Delivery Performance of Lipiodol-Based Emulsion or Drug-Eluting Beads in Patients with Hepatocellular Carcinoma'".
Molecular pharmaceutics, 2017Co-Authors: Ilse R. Dubbelboer, Elsa Lilienberg, Amar Karalli, Rimma Axelsson, Charlotte Ebeling Barbier, Frans Duraj, Agneta Norén, Torkel B Brismar, Mikael Hedeland, Ulf BondessonAbstract:Reply to "Comment on 'In Vivo Drug Delivery Performance of Lipiodol-Based Emulsion or Drug-Eluting Beads in Patients with Hepatocellular Carcinoma'"
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In Vivo Drug Delivery Performance of Lipiodol-Based Emulsion or Drug-Eluting Beads in Patients with Hepatocellular Carcinoma.
Molecular Pharmaceutics, 2017Co-Authors: Elsa Lilienberg, Ilse R. Dubbelboer, Amar Karalli, Rimma Axelsson, Charlotte Ebeling Barbier, Frans Duraj, Agneta Norén, Torkel B Brismar, Mikael Hedeland, Ulf BondessonAbstract:Doxorubicin (DOX) delivered in a lipiodol-based emulsion (LIPDOX) or in drug-eluting beads (DEBDOX) is used as palliative treatment in patients with intermediate-stage hepatocellular carcinoma (HCC). The primary objective of this study was to evaluate the in vivo Delivery Performance of DOX from LIPDOX or DEBDOX in HCC patients using the local and systemic pharmacokinetics of DOX and its main metabolite doxorubicinol (DOXol). Urinary excretion of DOX and DOXol and their short-term safety and antitumor effects were also evaluated. In this open, prospective, nonrandomized multicenter study, LIPDOX (n = 13) or DEBDOX (n = 12) were injected into the feeding arteries of the tumor. Local (vena cava/hepatic vein orifice) and systemic (peripheral vein) plasma concentrations of DOX and DOXol were determined in samples obtained up to 6 h and 7 days after treatment. Tumor response was assessed using computed tomography or magnetic resonance imaging. The Cmax and AUC0–24 h for DOX were 5.6-fold and 2.4-fold higher in...
Tatiana Rudchenko - One of the best experts on this subject based on the ideXlab platform.
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Supply chain Delivery Performance improvement for several Delivery time distributions
International Journal of Operational Research, 2018Co-Authors: Maxim A. Bushuev, Alfred L. Guiffrida, Tatiana RudchenkoAbstract:This paper investigates strategies for improving supply chain Delivery Performance when the cumulative density function of the Delivery time distribution exists in closed form. Delivery Performance is measured using a cost-based analytical model which evaluates the expected cost for early and late Delivery. The effect of changes to the parameters of the Delivery time distribution on the expected cost of untimely Delivery is explored. Strategies for improving Delivery Performance utilising the mean and variance of the Delivery time distribution are studied for the uniform, exponential, and logistic Delivery time distributions when a supplier uses an optimally positioned Delivery window to minimise the expected cost of untimely Delivery. Theoretical and managerial implications of the findings are discussed.
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Improving Delivery Performance for asymmetric Laplace distributed Delivery time in a two-stage supply chain
International Journal of Production Research, 2017Co-Authors: Maxim A. Bushuev, Jay R. Brown, Tatiana RudchenkoAbstract:This paper investigates strategies for improving supply chain Delivery timeliness when the Delivery time follows an asymmetric Laplace distribution. Delivery Performance is measured using a cost-ba...
