Article
Engineering, Industrial
Ahlam Azzamouri, Pierre Baptiste, Robert Pellerin, Guillaume Dessevre
Summary: Demand Driven Material Requirements Planning (DDMRP) is a method based on order generation, suitable for flow-shop organizations. Different evaluation methods have different advantages in different situations.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Stefan Creemers, Robert Boute
Summary: This study proposes a new method for evaluating stationary joint replenishment policies under compound Poisson demand. The method utilizes an embedded Markov chain to analyze the system state, allowing accurate analysis of instances that could only be evaluated using approximation methods before. Furthermore, the method is unaffected by the inclusion of nonzero lead times, backlog, and lost sales in the state space. The study also characterizes the optimal joint replenishment policy and develops a generalized greedy-optimal algorithm.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Joost Goedhart, Rene Haijema, Renzo Akkerman, Sander de Leeuw
Summary: Omni-channel retailing allows stores to fulfill online orders, but the allocation of online orders can be complicated, leading to imbalanced inventory levels across the retailers network. This study formulates and solves the online fulfillment and replenishment decision as a periodic Markov Decision Process (MDP), considering future demand. Through an extensive numerical study, the approach outperforms existing heuristics in terms of profit and service levels, resulting in more balanced and less fluctuating inventory levels.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Guangyu Wan, Yu Cao, Shouyang Wang
Summary: This study investigates a stochastic joint replenishment problem with Poisson demand, where multiple items are replenished jointly through a common supplier. The authors propose a novel joint replenishment policy controlled by a sales threshold, which performs better than the traditional quantity-based threshold policy in systems with high holding cost rate, short lead time, low fixed ordering cost, and large heterogeneity among products. Numerical experiments and analytical methods are used to evaluate and optimize the performance of the proposed policy.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Computer Science, Artificial Intelligence
Radoslaw Puka, Iwona Skalna, Adam Stawowy, Jerzy Duda, Marek Karkula
Summary: The paper proposes a decision rules based approach to improve the efficiency of the Min-Max method through dynamic adjustment of the Min-Max ordering levels, which has been successfully implemented in the automotive industry resulting in a significant increase in sales volume.
APPLIED SOFT COMPUTING
(2021)
Article
Economics
Amin Asadi, Sarah Nurre Pinkley
Summary: This paper discusses the decision-making problem of charging, discharging, and replacement at swap stations, proposes two approximate methods, and deduces effective operational insights through designed experiments.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Computer Science, Interdisciplinary Applications
Yuqi Wei, Min Yang, Jingxian Chen, Liang Liang, Tao Ding
Summary: This study proposes a lateral transshipment policy that considers both replenishment and recycling, models the inventory problem as stochastic dynamic programming, applies two dynamic programming methods to deal with the curse of dimensionality, and tests the proposed inventory policies using random demand samples. The results show that both policies are efficient in improving profitability and reducing waste.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Engineering, Industrial
Xiaoyue Zhang, Wenqiang Dai, Xiaoqiang Cai
Summary: This paper investigates the problem of inventory replenishment in a capacitated warehouse with uncertain procurement prices and market demands. The goal is to minimize the costs of procuring and holding inventory. A competitive analysis framework is used, and an efficient online real-time replenishment algorithm is developed. The algorithm does not rely on any distribution assumption and makes decisions based on past and present information. The paper also presents a theoretical performance guarantee and shows that the algorithm performs well in situations with high volatility uncertainty over time and exhibits risk-averse behavior. Numerical experiments further validate the effectiveness of the algorithm.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Management
Zihan Zhou, Xinhui Wang
Summary: Small businesses with multiple stocking locations face challenges of high ordering costs and imbalanced inventories. To address these challenges, an inventory system of multiple retailers is considered, where they order together periodically and transship available inventory between retailers. Analytical approaches are provided to evaluate costs and determine optimal order interval, order-up-to level, and timing of transshipment. The findings highlight the optimal order interval, timing of transshipments, and the effectiveness of transshipment in reducing costs.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Engineering, Industrial
Weina Ma, Mustafa Hekimoglu, Rommert Dekker
Summary: Control towers provide real-time information for logistic processes. This study explores how to utilize real-time information to save costs in a company supplying expensive spare parts with limited production capacity. The findings suggest that using real-time information and adopting admission control can lead to significant cost savings.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Engineering, Industrial
Ricardo Afonso, Pedro Godinho, Joao Paulo Costa
Summary: This article proposes an extension of the Joint Replenishment Problem (JRP) model that considers the possibility of item obsolescence and optimizes the ordering policy by minimizing total costs. The model assumes constant demand and independent negative exponential distributions for item lifetimes. Sensitivity analyses are conducted to evaluate the impact of obsolescence on the ordering policy.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Keyu Ji, Bingsheng Zhang, Tianpei Lu, Lichun Li, Kui Ren
Summary: Branching program (BP) is a DAG-based non-uniform computational model widely used in formal verification, logic synthesis, and data analysis. Decision tree, as a special BP, is a popular machine learning classifier due to its effectiveness and simplicity. This work proposes an efficient 3-party computation platform for outsourced BP and/or decision tree evaluation, including a constant-round protocol and a linear-round protocol.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2023)
Article
Computer Science, Software Engineering
T. Gonzalez Grandon, R. Henrion, P. Perez-Aros
Summary: This paper investigates the analytical properties of dynamic probabilistic constraints, focusing on both a general multistage model and a simple two-stage model with decision rules from L-2. Basic properties such as continuity of the probability function and existence of solutions are studied, along with more specific properties like Lipschitz continuity and differentiability of the probability function. Explicit conditions and gradient formulas in the Gaussian case are provided, discussing their application in necessary optimality conditions and presenting concrete solutions.
MATHEMATICAL PROGRAMMING
(2022)
Article
Computer Science, Artificial Intelligence
Mahsa Noori-daryan, Ata Allah Taleizadeh, Leopoldo Eduardo Cardenas-Barron
Summary: Our research examines an inventory issue in a multi-tier supply system, consisting of one supplier, one producer, and several homogenous sellers. We propose three different managerial structures for the supply system: non-integrated, integrated, and semi-integrated. The semi-integrated structure is a combination of the non-integrated and integrated structures. The demand is price-sensitive with no allowance for shortage. The study aims to optimize decision-making to enhance the performance of the supply system. The model determines the prices of the supplier and producer, the number of ordered consignments for the producer and supplier, and the replenishment time of the sellers, considering the presence of different structures. Finally, we solve several numerical examples and investigate the impact of key parameters on the supply system profit.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Mathematics
Srinivas R. Chakravarthy, B. Madhu Rao
Summary: The combination of queuing and inventory is common in literature, referred to as queuing-inventory systems. These systems occur naturally and have been extensively studied. This paper focuses on opportunistic inventory replenishment, using a probabilistic rule based on inventory level.
