Search Results - subject_exact:"Lagerhaltungspolitik"

On the value of warehouse sharing in an inventory system for medical consumables

Yu, Yugang; Guo, Dandan; Zheng, Shengming - 2026

This paper investigates the value of warehouse sharing when a third-party service provider (3PS) manages medical consumables inventory instead of hospitals. With the advancement of information technology, the 3PS commonly establish central warehouses to facilitate horizontal collaboration,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015655281

The price of delay : supply chain disruptions and pricing dynamics

Baslandze, Salome; Fuchs, Simon - 2026 - Original version: August 2025, this version: March 2026

We study how supply chain disruptions shape consumer prices. We develop a simple model showing how disruptions that cause delivery delays affect pricing through product availability, beyond standard cost pass-through, and extend it to a setting with strategic interactions across firms....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015609841

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The price of delay : supply chain disruptions and pricing dynamics

Baslandze, Salome; Fuchs, Simon - 2025

Book / Working Paper

The price of delay : supply chain disruptions and pricing dynamics

Baslandze, Salomé; Fuchs, Simon - 2025

Book / Working Paper

The price of delay : supply chain disruptions and pricing dynamics

Baslandze, Salomé; Fuchs, Simon - 2025

Book / Working Paper

Determining the optimal order quantity for perishable products affected by stochastic transportation delays

Banthita Kanchanasathita; Atchara Wangpa; Apisit Pitakcheun - 2026

Background: Transportation delays pose significant challenges for perishable products by reducing freshness, shortening selling duration, and causing lost sales during the delay. Methods: Motivated by the growing importance of transportation delays on perishable products, this study develops a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611747

A machine learning and multi-criteria decision-making approach to cycle counting

Vaccari, Laura; Balugani, Elia; Lolli, Francesco; … - 2026

Background: Inventory record inaccuracy (IRI) causes discrepancies between physical and digital inventories, leading to production delays and customer dissatisfaction. Cycle counting, in this context, is a common corrective action. Pareto-based ABC analysis is widely used to decide which items...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611797

Targeting toward optimal inventory in automotive industry : an analysis based on Six Sigma methodology

Puiu, Ionela-Roxana; Petre, Ioana Mădălina; … - 2026

Background: This paper presents an analysis and a structured framework for improving inventory accuracy in an automotive factory, considering the current context of global disruptions. In 2023, the company recorded 20,340 inventory adjustments (1695 per month) and a 0.24% monthly net value...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015611799

Automatic inventory of wiring harness components using UHF RFID technology

Iorga, Ioana; Popa, Cicerone Laurentiu; Popescu, … - 2026

Background: Integrating Radio Frequency Identification (RFID) technology into storage areas within the wiring harness manufacturing industry enables real-time component traceability and supports the implementation of fully automated inventory processes. While RFID systems provide continuous data...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015612358

Analyzing key factors for warehouse UAV integration through complex network modeling

Malang, Chommaphat; Ratapol Wudhikarn - 2026

Background: The integration of unmanned aerial vehicles (UAVs) into warehouse management is shaped by a broad spectrum of influencing factors, yet practical adoption lagged behind its potential due to scarce quantitative models of factor interdependencies. Methods: This study systematically...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015612399

The two-echelon multicommodity location-routing problem with stochastic and correlated demands

Escobar-Vargas, David; Crainic, Teodor Gabriel; Rei, Walter - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015613599

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The two-echelon multicommodity location-routing problem with stochastic and correlated demands

Escobar-Vargas, David; Crainic, Teodor Gabriel; Rei, Walter - 2023

Book / Working Paper

Positioning of omnichannel inventories to protect revenue

Hassanzadeh, Alborz; Martínez-de-Albéniz, Victor - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015604532

The two-echelon multicommodity location-routing problem with stochastic and correlated demands

Escobar-Vargas, David; Crainic, Teodor Gabriel; Rei, Walter - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015613599

Show one more version 1

The two-echelon multicommodity location-routing problem with stochastic and correlated demands

Escobar-Vargas, David; Crainic, Teodor Gabriel; Rei, Walter - 2023

Book / Working Paper

Perishable inventory management under inventory level- and freshness-dependent demand and backroom effect

Senyuva, Ilgin Efe; Drent, Melvin; Atan, Zumbul - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015605917

Performance measures of industrial symbiosis with inventory

Albino, Vito; Fraccascia, Luca; Yazan, Devrim Murat - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015606030

The theory of storage in a power system with stochastic demand

Biggar, Darryl; Hesamzadeh, Mohammad Reza - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015620550

Autonomous vehicles in warehouse inventory management : Insights from Malaysia's national telecommunication and digital infrastructure provider

Sairul Izwan Safie - 2026

Purpose: This study examines the role of autonomous vehicles (AVs) in warehouse inventory management, with a specific focus on Malaysia's national telecommunication and digital infrastructure provider. It identifies key challenges, operational efficiencies, and strategic implementation...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015627284

Checking the count : how official statistics are missing the warehouse revolution

2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015627586

Dynamic pricing and inventory control for fresh agricultural products under dual channel

Wang, Xiongzhi; Tang, Fangling - 2026

This study investigates a joint pricing and inventory control problem for fresh agricultural products within dual channels. Considering factors such as service level, holding/lost costs, and consumer demand, this study presents a single-period model, followed by two stochastic dynamic...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015637502

A hybrid learning framework for forecasting uncertainty and adaptive inventory planning in retail supply chains

Mohammed, Zizi; Anas, Chafi; El Hammoumi, Mohammed - 2026

Demand forecasting and quantification of uncertainty is an essential asset of the retail supply chain optimization and risk-based inventory decisions. This study will introduce a new hybrid conditional variance model (combining gradient boosting machines (XGBoost, LightGBM), recurrent neural...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640863

An analytics-driven hybrid method for multi-item demand forecasting in supply chains

Lingkon, Md. Limonur Rahman; Hossain, Md. Sanowar; … - 2026

This study proposes a new deep learning (DL)-based approach for multi-item demand forecasting in multi-wave distribution networks. In modern merchandising supply systems, traditional forecasting techniques such as moving averages and autoregressive integrated moving average (ARIMA) models are...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640893

An analytical review of vendor-managed inventory models in sustainable supply chains

Salas-Navarro, Katherinne; Rojano-Flores, Melissa; … - 2026

A vendor-managed inventory system is a collaborative strategy in network logistics. It helps establish a sourcing and inventory control policy that optimizes logistics costs and enhances the efficient use of resources. This research presents a meta-analysis and systematic literature review of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640955

Optimizing inventory in convenience stores to maximize ROI using random forest and genetic algorithms

Zavaleta-Zarate, Kelly; Escobal-Vera, Jesus; … - 2026

Background: Convenience stores face volatile demand and a direct trade-off between stock-outs and overstocking, both of which affect service levels and profitability. This study aims to optimize inventory management through a reproducible forecasting-and-optimization workflow, assessing its...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647577

Integrating IoT and blockchain for real-time inventory visibility and traceability : a bibliometric-systematic review

Takawira, Blessing; Duri, Babra - 2026

Background: The accelerated convergence of the Internet of Things (IoT) and Blockchain is reconfiguring logistics, yet knowledge regarding their operationalisation for real-time inventory management remains fragmented. Methods: A Bibliometric-Systematic Literature Review (B-SLR) was conducted on...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647616

The stock allocation problem in a production system with FIFO picking operations

Bertazzi, Luca; Pedersoli, Felice - 2026

Background: We study one of the most important problems in production and warehouse management: the problem of determining how to allocate the initial stock and the quantity produced to bins, and then how to manage picking operations from these bins. The objective is to minimize the total cost...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647619

Battery and hydrogen storage: complements or substitutes? : A German case study

Blanchard, Ange; Megy, Camille - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015650882

Competition and collusion with strategic inventories

Ashfaq, Marium; Toxvaerd, Flavio; Wei, Yi - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015617303

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Competition and collusion with strategic inventories

Ashfaq, Marium; Toxvaerd, Flavio; Wei, Yi - 2026

Book / Working Paper

A data-driven problem for integrating carbon-sensitive pricing into inventory optimization

Zemzami, Maria; Duong, Van Tien; Nguyen Nhan Quy; … - 2026

In the face of increasingly stringent carbon regulations and volatile energy markets, integrating environmental constraints into inventory optimization problems raises crucial questions: Is it always economically justified? And what level of problem complexity is appropriate? This paper proposes...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015654277

Triple A : how analytics, AI, and algorithms are improving inventory management in healthcare

Johnson, Laquanda Leaven; Ebakivie, Oghenetejiri - 2026

Background: Healthcare inventory management is critical for ensuring timely access to supplies and reducing stockouts. As supply chains grow more complex, algorithms, AI, and analytics techniques have emerged as tools for forecasting, tracking, classification, and procurement. Yet empirical...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015666833

Non-label-based goods identification in large-scale warehousing and automated logistics operations using vision-based OCR

Hori Najafabadi, Mohammad; Mahmoudi, Paria; Noche, Bernd - 2026

Background: Automated identification of logistics units is a critical requirement in high-volume warehouse operations, particularly in retails that handle millions of cartons annually. Although barcode-based systems are widely used, they generate recurring costs for labeling, printing, quality...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015666872

Impact of circular economy and key operational parameters on steel supply chain performance under a dedicated warehousing policy : a multi-objective case study

Abdelaziz, Mai S.; Abdelmaguid, Tamer F. - 2026

Background: Egypt is one of the top steel producers in the Middle East and Africa, yet it faces acute water scarcity and rising energy costs, making it a critical context for studying trade-offs among carbon emissions, water ecological effects, and operational cost in steel supply chain....

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015666898

Optimal reordering strategy for three-echelon spare-parts inventory systems under disruption-dependent lead-time uncertainty : application to wind energy systems

Mazumder, Anik; Sarker, Bhaba R. - 2026

Background: The rapid expansion of wind energy systems has increased the need for reliable and cost-effective maintenance logistics, where the availability of critical spare parts is essential for sustaining turbine performance and reducing downtime. From this background, this study develops a...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015666993

Simulation studies on the impact of using demand forecasts based on deep neural networks for inventory replenishment efficiency

Krzyżaniak, Stanisław; Cyplik, Piotr; Bartkowiak, Marcin - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015670479

A hybrid approach combining K-Means clustering and heuristics for the container loading problem : a real-case application

Tekil-Ergün, Sezgi; Çebi, Ferhan; Ceylan, Mustafa - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015670480

Evaluation of solar-powered cold storage and evaporative cooling system as off-grid methods for postharvest vegetable storage : evidence from a laboratory experiment in Nigeria

Salaudeen, Kamaldeen Oladimeji; Yamauchi, Futoshi; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015661123

A multi-location inventory system with occasional allocation under uncertain defective rates

Cui, Ligang; Peng, Zuguo; Chen, Yingcong; Xie, Wenjing - 2026

In this study, a multi-location allocation problem is investigated under a temporary allocation system in light of the uncertain defective rate inherent to items. Based on the theoretical and modeling foundation of previous research, this study contributes in four main aspects. First, a robust...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015674865

Natural gas storage valuation using deep reinforcement learning

Tadi, Masood; Fičura, Milan; Witzany, Jiří - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015672601

Integrating hydrogen storage and thermal batteries for cost-effective green energy solutions

Zhang, Min; Wan, Sun; Yang, Zhongqing - 2026

Systems running significant percentages of green energy clearly show the mismatch between power demand and availability over seasonal variations. Conventional and thermal and electrical energy storage systems cannot handle this problem. This work investigates large-scale hydrogen storage using...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015676513

Introducing artificial intelligence to increase efficiency in warehouse logistics : a case study

Marinič, Enej; Perko, Igor - 2026

This paper examines how Artificial Intelligence (AI) forecasting and discrete-event simulation can support adaptive warehouse planning by integrating efficiency, workload balance, and operational resilience. Using distribution warehouse data, machine-learning models forecast daily delivery...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016086566

A hierarchical two-level adaptive allocation framework for multi-location inbound logistics under operational constraints

Hori, Mohammad; Noche, Bernd - 2026

Background: The allocation of non-divisible inbound deliveries across multiple warehouses requires the simultaneous consideration of capacity constraints, category-specific restrictions, workload balance, and long-term allocation consistency. Methods: This study proposes a hierarchical two-level...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016089959

Decoupling safety stock and replenishment decisions : a data-driven hybrid risk-value framework for resilient industrial inventories

Hernández Landa, Leonardo G.; Solís Peña, Carolina; … - 2026

Background: Traditional value-based ABC inventory classification allocates protection according to economic value, overlooking operational risk factors such as demand variability, lead time, and assembly criticality, and it couples safety-stock and replenishment-cycle decisions. Methods: We...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016089736

Supply chain risk in grain trading : inventories as real options for shipping grain

Wilson, William W.; Klebe, Jesse - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016091954

Smart industrial robots, AI-driven autonomous vehicles, and drones in warehouse logistics

Toufah, Najat; Ardizio, Marc - 2026

Background: The rapid digitalization of warehouse logistics has accelerated the adoption of smart industrial robots, AI-driven autonomous vehicles, and drones to enhance operational coordination and supply chain performance. However, empirical evidence regarding the combined operational...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016089880