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Journal articles on the topic 'Multi-Echelon Safety Stock Optimization'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Yang, Song, Peng Hui Shi, and Jian Wei Chi. "A Forecast Optimization Method Based on Multi-Echelon Supply Chain." Advanced Materials Research 850-851 (December 2013): 1065–68. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.1065.

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Many traditional forecasting platforms try to make predictions about the future by analyzing patterns that occurred in the past.More sophisticated methods exist, such as exponential smoothing or the Holt-Winters method. Nonetheless, as sophisticated as these methods are, they all suffer from the same deficiency: they only consider the past. While the past is indeed a statistically significant indicator of what will happen in the future, it isnt the only indicator. In multi-echelon supply chain systems, there exists a plethora of highly relevant data that can be tapped into.We have built an Are

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2

Inderfurth, Karl. "Safety stock optimization in multi-stage inventory systems." International Journal of Production Economics 24, no. 1-2 (1991): 103–13. http://dx.doi.org/10.1016/0925-5273(91)90157-o.

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3

Desmet, B., E.-H. Aghezzaf, and H. Vanmaele. "A normal approximation model for safety stock optimization in a two-echelon distribution system." Journal of the Operational Research Society 61, no. 1 (2010): 156–63. http://dx.doi.org/10.1057/jors.2008.150.

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4

Minner, Stefan. "Dynamic programming algorithms for multi-stage safety stock optimization." OR Spektrum 19, no. 4 (1997): 261–71. http://dx.doi.org/10.1007/bf01539783.

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5

Li, Peng, and Di Wu. "A Comparison Study of Stochastic- and Guaranteed- Service Approaches on Safety Stock Optimization for Multi Serial Systems." IOP Conference Series: Earth and Environmental Science 108 (January 2018): 042070. http://dx.doi.org/10.1088/1755-1315/108/4/042070.

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6

Wang, Lin, Hui Qu, Shan Liu, and Cai-xia Dun. "Modeling and Optimization of the Multiobjective Stochastic Joint Replenishment and Delivery Problem under Supply Chain Environment." Scientific World Journal 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/916057.

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As a practical inventory and transportation problem, it is important to synthesize several objectives for the joint replenishment and delivery (JRD) decision. In this paper, a new multiobjective stochastic JRD (MSJRD) of the one-warehouse andn-retailer systems considering the balance of service level and total cost simultaneously is proposed. The goal of this problem is to decide the reasonable replenishment interval, safety stock factor, and traveling routing. Secondly, two approaches are designed to handle this complex multi-objective optimization problem. Linear programming (LP) approach co

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7

Srivastav, Achin, and Sunil Agrawal. "Multi-objective optimization of a mixture inventory system using a MOPSO–TOPSIS hybrid approach." Transactions of the Institute of Measurement and Control 39, no. 4 (2015): 555–66. http://dx.doi.org/10.1177/0142331215611211.

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This paper studies a multi-objective mixture inventory problem for a pharmaceutical distributor. The work starts with a discussion of a mixture inventory model and three objectives, namely the minimization of: 1) ordering and holding costs, 2) number of units that stockout and 3) frequency of stockout occasions. Multi-objective particle swarm optimization (MOPSO) is used to determine the non-dominated solutions and generate Pareto curves for the inventory system. Two variants of MOPSO are proposed, based on the selection of inertia weight. The performance of the proposed MOPSO algorithms is ev

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8

Das Roy, Monami, and Shib Sankar Sana. "Production rate and lot-size dependent lead time reduction strategies in a supply chain model with stochastic demand, controllable setup cost and trade-credit financing." RAIRO - Operations Research 55 (2021): S1469—S1485. http://dx.doi.org/10.1051/ro/2020112.

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This study explores simultaneous reduction strategies of lead time and setup cost in a two-stage supply chain model under trade-credit financing. Lead time depends on a variable production rate and lot size. It consists of setup, production, and transportation time which are shortened to reduce lead time. Although double safety factors are considered to avoid stock-out; but still backorders take place as the demand during the lead time is stochastic. Setup cost is reduced by including an extra investment cost. In addition, the vendor offers a fixed credit period to the buyer to settle the acco

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Rinks, Dan B. "Rationing safety stock in the USAF's multi echelon inventory system." Engineering Costs and Production Economics 17, no. 1-4 (1989): 99–109. http://dx.doi.org/10.1016/0167-188x(89)90060-8.

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10

Sbai, Nouçaiba, and Abdelaziz Berrado. "A literature review on multi-echelon inventory management: the case of pharmaceutical supply chain." MATEC Web of Conferences 200 (2018): 00013. http://dx.doi.org/10.1051/matecconf/201820000013.

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Inventory management remains a key challenge in supply chain management. Many companies recognize the benefits of a good inventory management system. An effective inventory management helps reaching a high customer service level while dealing with demand variability. In a complex supply chain network where inventories are found across the entire system as raw materials or finished products, the need for an integrated approach for managing inventory had become crucial. Modelling the system as a multi-echelon inventory system allows to consider all the factors related to inventory optimization.

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11

Grahl, Jörn, Stefan Minner, and Daniel Dittmar. "Meta-heuristics for placing strategic safety stock in multi-echelon inventory with differentiated service times." Annals of Operations Research 242, no. 2 (2014): 489–504. http://dx.doi.org/10.1007/s10479-014-1635-1.

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12

Ignaciuk, Przemysław, and Łukasz Wieczorek. "Networked Base-Stock Inventory Control in Complex Distribution Systems." Mathematical Problems in Engineering 2019 (November 4, 2019): 1–14. http://dx.doi.org/10.1155/2019/3754367.

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This paper addresses the resource distribution problem in logistic networks with a complex, multi-echelon interconnection structure. The considered class of systems encompasses two types of nodes: controlled nodes subject to inventory management decisions and sources providing goods to the system to sustain the sales. The stock gathered at the controlled nodes is used to satisfy an exogenous, uncertain demand that may be placed at any controlled node. The stock is replenished from the sources and other controlled nodes, and the flow of goods proceeds with positive lead-time delay. The network

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13

Sharma, Sanjay, and Akshat Sisodia. "Comparative multi criteria analysis and dependent optimisation through integrated supply chain." International Journal of Productivity and Performance Management 63, no. 8 (2014): 1046–69. http://dx.doi.org/10.1108/ijppm-09-2013-0164.

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Purpose – The purpose of this paper is to compare various inventory policies and their effect on various performance metrics at different levels of a multi stage supply chain. Later the model is integrated to include optimization of entire supply chain through implementation of collaborative supply chain model. Design/methodology/approach – Alternative inventory policies have been developed at different echelons and a comparison reflecting the usability on various factors such as inventory level, inventory cost and service level is presented so as to support the decision-making process. Variou

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14

Ni, Wenjun, and Jia Shu. "Trade-off between service time and carbon emissions for safety stock placement in multi-echelon supply chains." International Journal of Production Research 53, no. 22 (2015): 6701–18. http://dx.doi.org/10.1080/00207543.2015.1056319.

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15

Pervin, Magfura, Sankar Kumar Roy, and Gerhard Wilhelm Weber. "Multi-item deteriorating two-echelon inventory model with price- and stock-dependent demand: A trade-credit policy." Journal of Industrial & Management Optimization 13, no. 5 (2017): 1–29. http://dx.doi.org/10.3934/jimo.2018098.

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16

Kegenbekov, Zhandos, and Ilya Jackson. "Adaptive Supply Chain: Demand–Supply Synchronization Using Deep Reinforcement Learning." Algorithms 14, no. 8 (2021): 240. http://dx.doi.org/10.3390/a14080240.

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Adaptive and highly synchronized supply chains can avoid a cascading rise-and-fall inventory dynamic and mitigate ripple effects caused by operational failures. This paper aims to demonstrate how a deep reinforcement learning agent based on the proximal policy optimization algorithm can synchronize inbound and outbound flows and support business continuity operating in the stochastic and nonstationary environment if end-to-end visibility is provided. The deep reinforcement learning agent is built upon the Proximal Policy Optimization algorithm, which does not require hardcoded action space and

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17

Costantino, Francesco, Giulio Di Gravio, Ahmed Shaban, and Massimo Tronci. "Exploring the Bullwhip Effect and Inventory Stability in a Seasonal Supply Chain." International Journal of Engineering Business Management 5 (January 1, 2013): 23. http://dx.doi.org/10.5772/56833.

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The bullwhip effect is defined as the distortion of demand information as one moves upstream in the supply chain, causing severe inefficiencies in the whole supply chain. Although extensive research has been conducted to study the causes of the bullwhip effect and seek mitigation solutions with respect to several demand processes, less attention has been devoted to the impact of seasonal demand in multi-echelon supply chains. This paper considers a simulation approach to study the effect of demand seasonality on the bullwhip effect and inventory stability in a four-echelon supply chain that ad

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18

Miao, Bing Rong, Shou Ne Xiao, Ding Chang Jin, and Guang Wu Yang. "Research of Fatigue Life Simulations Applied to Large Complex Structure." Key Engineering Materials 353-358 (September 2007): 1017–20. http://dx.doi.org/10.4028/www.scientific.net/kem.353-358.1017.

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In structural design for safety and durability, the primary concern is to reduce structural fatigue damages due to random dynamic loadings during the service life of locomotive vehicle system. Rolling stocks is facing new sever safety problems, such as bogie frame structure components fracture and safety-based design optimization to durability of locomotive. The objective of the current research is to find the most efficient approach to predict structure safety with Multi-Body Simulation (MBS) and Finite Element Method (FEM). The method is implemented to evaluate bogie frame fatigue damages un

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19

Deng, He Lian, and You Gang Xiao. "Development of General Embedded Intelligent Monitoring System for Tower Crane." Applied Mechanics and Materials 103 (September 2011): 394–98. http://dx.doi.org/10.4028/www.scientific.net/amm.103.394.

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For improving the generality, expandability and accuracy, the general embedded intelligent monitoring system of tower crane is developed. The system can be applied to different kinds of tower cranes running at any lifting ratio, can be initialized using U disk with the information of tower crane, and fit the lifting torque curve automatically. In dangerous state, the system can sent out alarm signals with sounds and lights, and cut off power by sending signals to PLC through communication interface RS485. When electricity goes off suddenly, the system can record the real-time operating informa

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20

Afshar, Jafar, Narjes Sadeghiamirshahidi, Ali Reza Firouzi, Seyed Mojib Zahraee, and Syed Ahmad Helmi Syed Hassan. "Improving the Inventory Levels of a Blood Supply Chain Through System Dynamic Simulation." Jurnal Teknologi 69, no. 6 (2014). http://dx.doi.org/10.11113/jt.v69.3229.

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The blood supply chain is a complex system with a multi-echelon structure. Hence, the integration of various interconnected elements, which should be synchronized appropriately, is a necessity to meet the patients’ requirements. The performance of the blood supply chain is a function of different variables that are dependent of each other. Therefore, the main aim of the chain is the optimization of the overall supply chain by considering the dynamic behavior of the system. The purpose of this study is to develop a system dynamic simulation model for a complex blood supply chain in order to imp

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21

Phaneendra, A. Naga, Diwakar Reddy Vanimireddy, and Krishnaiah Gidda. "Extenuating Whip-Lash Effect in Multi-Echelon SCM in Steel Processing Industry Using Optimization Model." Journal for Manufacturing Science and Production 16, no. 4 (2016). http://dx.doi.org/10.1515/jmsp-2016-0032.

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AbstractForecasting of inventory is an enigma to various firms at different echelon levels of supply chain. Abnormality in forecasting an inventory may leads to fluctuations in upstream supply chain. On upswing it can be uneconomical in terms of stock-out cost, while on the down trend it can be expensive in terms of stock holding costs. To amend the firms efficiency, in this paper the model developed by (Akhtar Tanveer et al. An Optimization model for Mitigating Bullwhip-Effect in a Two-Echelon Supply chain. Int conf Traf Transp Stud 2014;138:289-97) is successfully applied to steel processing

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22

Eichhorn Colombo, Konrad W., Peter Schütz, and Vladislav V. Kharton. "Reliability analysis for a multi-stack solid oxide fuel cell system subject to operation condition-dependent degradation." Journal of Quality in Maintenance Engineering ahead-of-print, ahead-of-print (2020). http://dx.doi.org/10.1108/jqme-04-2020-0021.

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PurposeA reliability analysis of a solid oxide fuel cell (SOFC) system is presented for applications with strict constant power supply requirements, such as data centers. The purpose is to demonstrate the effect when moving from a module-level to a system-level in terms of reliability, also considering effects during start-up and degradation.Design/methodology/approachIn-house experimental data on a system-level are used to capture the behavior during start-up and normal operation, including drifts of the operation point due to degradation. The system is assumed to allow replacement of stacks

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