Quality control and monitoring of perishable goods during transportation and delivery services is an increasing concern for producers, suppliers, transport decision makers and consumers. The major challenge is to ensure a continuous 'cold chain' from producer to consumer in order to guaranty prime condition of goods. In this framework, the suitability of ZigBee protocol for monitoring refrigera...

Deep reinforcement learning (DRL) has proven to be an effective, general-purpose technology develop ‘good’ replenishment policies in inventory management. We show how transfer from existing, well-performing heuristics may stabilize the training process and improve performance of DRL control. While idea is general, we specifically implement potential-based reward shaping a deep Q-network algorit...

A correction to this paper has been published: https://doi.org/10.1007/s40747-021-00311-2

Abstract This paper proposes a multi-objective mixed-integer linear programming to model cold chain with complementary operations on hierarchical hub network. Central hubs are linked each other in the first level of network and star lower-level hubs. As for case study, different levels provide various refreshing or freezing keep perishable goods fresh along Disruption is formulated by considera...

A significant issue of the supply chain problem is how to integrate different entities. Managing supply chain is a difficult task because of complex integrations, especially when the products are perishable in nature. Little attention has been paid on ordering specific perishable products jointly in uncertain environment with multiple sources and multiple destinations. In this article, we propo...

by Anna-Lena Sachs : Retail Analytics: Integrated Forecasting and Inventory Management for Perishable Products in Retailing (Lecture Notes in Economics and Mathematical Systems) ISBN : #3319133047 | Date : 2014-12-18 Description : PDF-668c6 | This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scann...

This paper develops EOQ-based models with perishable items to evaluate the impact of a form postponement strategy on the retailer in a supply chain. We formulate models for a postponement system and an independent system to minimize the total average cost function per unit time for ordering and keeping n perishable end-products. An algorithm is given to derive the optimal solutions of the propo...