Product Allocation Planning with Safety Compatibility Constraints in IoT-based Warehouse

Trab, Sourour; Bajic, Eddy; Zouinkhi, Ahmed; Abdelkrim, Mohamed Naceur; Chekir, Hassen; Ltaief, Radhouane Hadj

doi:10.1016/j.procs.2015.12.033

Cited by 35 publications

(24 citation statements)

References 18 publications

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“…The proposed method demonstrates effectiveness and efficiency in minimizing the overall cost and maximizing food quality. Considering the security issues in product placement planning, Trab et al (2015) proposed a multi-agent model with the monitored environment data. With the input data processed by the given negotiation and decision mechanisms, the placement planning lowers the risk of hazardous accidents in the smart warehouse by reducing the size of floating locations.…”

Section: Logistics Planning In Smart Logisticsmentioning

confidence: 99%

Operations management of smart logistics: A literature review and future research

Feng

2021

Front. Eng. Manag.

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The global collaboration and integration of online and offline channels have brought new challenges to the logistics industry. Thus, smart logistics has become a promising solution for handling the increasing complexity and volume of logistics operations. Technologies, such as the Internet of Things, information communication technology, and artificial intelligence, enable more efficient functions into logistics operations. However, they also change the narrative of logistics management. Scholars in the areas of engineering, logistics, transportation, and management are attracted by this revolution. Operations management research on smart logistics mainly concerns the application of underlying technologies, business logic, operation framework, related management system, and optimization problems under specific scenarios. To explore these studies, the related literature has been systematically reviewed in this work. On the basis of the research gaps and the needs of industrial practices, future research directions in this field are also proposed.

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Section: Logistics Planning In Smart Logisticsmentioning

confidence: 99%

Operations management of smart logistics: A literature review and future research

Feng

2021

Front. Eng. Manag.

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“…Compliance with established health and safety criteria As discussed above, this criterion often forms a critical factor for mandatory compliance in any possible solution. With the objective of facilitate standardized verifications, it is proposes the development of a checklist that encompasses all aspects of health and safety requirements associated with the system (Otto, Boysen, Scholl, & Walter, 2017;Trab et al, 2015).…”

Section: Analysis Of Overall Space Required and Load Capacitymentioning

confidence: 99%

“…Camarero-Orive, 2017), since the initial stages of a risk management plan are inherent within any project of this magnitude (Marotz, 2017). The said initial steps of the Risk Analysis (Trab et al, 2015) include:…”

Section: Threatsmentioning

confidence: 99%

Analytical and economic methodology for storage of large heavyweight equipment in industrial processes

Hermoso-Orzáez

Cámara-Martínez

Rojas‐Sola

et al. 2019

Economic Research-Ekonomska Istraživanja

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Numerous studies concerning warehouse-design methodologies have been performed focused on the storage of products on pallets or of intermediate size and/or moderate weight loads. These studies, however, do not provide with optimal results for industries that work with equipment or objects of uncommon sizes and shapes and with large weights, which are difficult to move and involve high costs and complex operational actions, affecting to the production processes and interfering with the logistic processes or the supply-chain of a company. This study proposes an analytical methodology using economic and technical qualitative criteria that can be applied specifically to large and heavy equipment warehouses. Both quantitative aspects, such as availability and cost of space, and also qualitative considerations, such as flexibility requirements, impact on manufacturing process and risks associated, are evaluated. To determine an optimum implementation solution, several decision-making methods, such as Electra I & II and Analytic Hierarchy Process are employed with due consideration of multiple criteria. The results obtained are modulated and reinforced using a SWOT (strengths-weaknesses, opportunities-threats) and a Risk analysis to verify this single ultimate solution. The said process led to the establishment of a decision-making methodology suitable for any organization possessing large-scale storage systems.

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“…A WMS manages various operations on products such as receiving, storing, picking, and shipping, which involves lots of product interactions with machines and operators, all having a specific impact at each step of the product life cycle (Giannikas et al, 2013). Many researchers (Guerriero et al, 2013; Trab et al, 2015; Zouinkhi et al, 2014) highlighted that major keys to ensure safety issues in decision-making models were accurate and effective gathering, and monitoring and management of information whether in a centralized, distributed, or hybrid organization (De Koster et al, 2011).…”

Section: Major Logistic Issues In Wmssmentioning

confidence: 99%

A communicating object’s approach for smart logistics and safety issues in warehouses

Trab

Bajic

Zouinkhi

et al. 2016

Concurrent Engineering

Self Cite

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A communicating object, or connected object, is a key element of the Internet of Things to shift a perceptible real world into a wide digital virtual world known as the cyber-physical system. Knowing that sustainability, safety, and logistic issues are among the significant goals and challenges of modern industrial enterprises, the communicating object can be a relevant concept to guarantee safety performance in logistics and warehouse management. This article presents the impacts and advantages of the communicating object in smart logistics and the design of a communicating object model inspired from Internet of Things European research projects, which controls and monitors safety risks in a hazardous and chemical industrial context. Generic safety-based scenarios are presented, which rely on a set of negotiated interaction mechanisms for storage and picking. The relevant deployment of intelligence in a warehouse management system leads to propose a new concept called ''IoT-controlled Safe Area.'' Our contribution is to bring informational, communicational, and decisional capabilities close to the warehousing physical world thanks to the communicating object. This enables achieving safety assurance with a decrease in the decision-making delay and an increase in the solving efficiency of local and dynamic disruptions, while avoiding inherent shortcomings of the warehouse management system centralization. For this, an industrial implementation is presented.

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Product Allocation Planning with Safety Compatibility Constraints in IoT-based Warehouse

Cited by 35 publications

References 18 publications

Operations management of smart logistics: A literature review and future research

Operations management of smart logistics: A literature review and future research

Analytical and economic methodology for storage of large heavyweight equipment in industrial processes

A communicating object’s approach for smart logistics and safety issues in warehouses

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