We study a multi-product maritime inventory routing problem (MIRP) with sailing time uncertainty. We explicitly consider the replanning that happens after uncertainty is revealed. The objective is to determine the stability of the adjusted plans after the occurrence of an uncertain event and to...

This research focuses on accurately forecasting steel wire mesh demand to ensure timely order fulfillment. Various univariate time series forecasting methods were employed, including Prophet, Support Vector Regression (SVR), 1-Dimensional Convolutional Neural Network (1D-CNN), Recurrent Neural...

This study examines the challenges of two warehouses operating under Last-In-First-Out (LIFO) order policies in inventory management, including unpredictable demand patterns, the decay of Weibull distribution, and the need to reduce carbon emissions by adopting green technology. The research...

Purpose: This study presents a systematic literature review that provides a broad and holistic view of how machine learning can be used and integrated to enhance decision-making in various areas of the supply chain, highlighting its combination with other techniques and models....

Purpose - Inventory is a crucial part of a systematic supply chain of a business. Small firms mostly neglect inventory management (IM) by accumulating excessive inventory for a time. The study aims to examine the IM practices of small and medium enterprises (SMEs) in Bangladesh....

Background: A logistics network plan could be a major key issue due to its effect on supply chain effectiveness and responsiveness. This study aims to investigate the inventory location in the humanitarian logistics response stage using a three-level logistics network to integrate...

This study investigates a non-instantaneous deteriorating two-warehouse inventory problem with allowable delay payments under inflation. The objective is to maximize the total profit per unit of time by determining the optimal order quantity, the product's selling price, and the business cycle...

Spare parts are particularly challenging to forecast due to their lumpiness and representing a significant part of companies’ expenditures, so even small improvement in new approaches can considerably reduce these items’ total inventory. This paper aims to present a new hybrid forecasting...

Spare parts are particularly challenging to forecast due to their lumpiness and representing a significant part of companies' expenditures, so even small improvement in new approaches can considerably reduce these items' total inventory. This paper aims to present a new hybrid forecasting method...

Background: Traditional procurement and price negotiation methods in public hospitals in Thailand involve group purchasing agreements and bulk orders, posing challenges to improving inventory management efficiency. The vendor-managed inventory (VMI) model is a promising alternative for enhancing...

Background: In the current global market, supply chains are increasingly complex, necessitating agile and sustainable management strategies. Traditional analytical methods often fall short in addressing these challenges, creating a need for more advanced approaches. Methods: This study leverages...

Even in the context of Industry 4.0, conventional warehouse management continues to encounter challenges. Amidst these obstacles, innovative solutions are imperative. Order picking, a critical process with significant implications for customer service, remains labor-intensive within warehousing...

In today's volatile business environment, manufacturers often face the challenge of making sales and production decisions despite unstable market demand. Companies must strategically determine which customer orders to fulfill or which products to stock under limited resources. This study...

Supply chains play an essential role in ensuring operational efficiency and economic stability, yet they facechallenges such as the "bullwhip effect," which amplifies demand fluctuations. Addressing these issues requires innovativestrategies that integrate behavioral theories with technological...

In recent years, omni-channel retailing has become immensely popular among both retailers and consumers. In this approach, retailers often leverage their brick-and-mortar stores to fulfill online orders, leading to the need for simultaneous decision-making on replenishment and inventory...

In the wake of the COVID-19 pandemic, severe economic damage and product shortages caused by demand surges and supply disruptions have prompted interests in strategies and tools for building resilient supply chains. The recent geopolitical conflicts as well as increased frequency of natural...

Transshipment is an effective method for reducing mismatches between supply and demand among retailers. Consumers attempting to purchase out-of-stock items may wait for transshipment, purchase at another store, or choose not to buy. In this paper, the consumer behavioral heterogeneity is...

Background: This article's main goal is to examine how digital platforms and supply chain traceability (SCT) might contribute to robust information and efficient inventory management (EIM); Methods: SmartPLS3 software was used in conjunction with the partial least squares structural equation...

This study explores the link between inventory optimization and operational efficiency in public sector organizations in Ethiopia. The study specifically examines the role of Capacity utilization, Inventory precision, IT infrastructure, administrative purchasing procedures, Workforce competence...

Adopting the permissible delay method by suppliers offers ample opportunity to overcome the burden of holding costs from retailers. This compensates retailers against the competitive situation as an alternative to price discounts. We present an inventory model for a finite time horizon for...

This study develops an inventory management system for non-instantaneous deteriorating items in a supplier-retailer-customer supply chain. The proposed model considers carbon emissions during production and applies a carbon tax to regulate the emission. Promotional prices are considered to boost...

Suppliers often prefer to offer their retailers a delay period in payment to attract more sales and promote revenue in a supply chain. The retailers usually ask their customers to pay a portion of purchasing cost when receiving the product (i.e., a downstream partial trade credit) to reduce the...