Warehouse Storage Research Articles

Sustainability and Technoeconomic Assessment of Polygeneration Process for LNG Cold Recovery

AbstractLiquefied natural gas (LNG) regasification terminals have specification that necessitates adjustment of heating value of LNG feed. One strategy to reduce heating value is to separate heavier hydrocarbons from LNG by utilizing LNG cold energy. The amount of cold energy utilized in recovering heavy hydrocarbon is much less resulting in wastage of remaining cold energy. To reverse this wastage, we propose a polygeneration process that encompasses an organic Rankine cycle to generate electricity and refrigeration for cold storage warehouse cooling and data center cooling by utilizing remaining cold energy. Based on process simulation and optimization, we found that a significant amount of cold energy is utilized resulting in an avoided CO2 emission, thereby enhancing sustainability of an LNG regasification terminal.

Green Order Sorting Problem in Cold Storage Solved by Genetic Algorithm

This study investigates the efficiency of cold storage warehouses and contributes to sustainable supply chain management by integrating eco-friendly practices into storage operations. In facilities for milk and its derivatives, unregulated order handling significantly increases energy consumption due to frequent door openings in the cooler. To address this challenge, we developed a novel mathematical model aimed at optimizing order sequences and minimizing energy costs, addressing a previously unexplored gap in the literature. A genetic algorithm (GA) was employed to solve this model, with careful consideration of carbon emissions generated during the algorithm’s execution. We utilized the Yates notation, an experimental design technique, to systematically optimize the GA’s parameters, ensuring robust and statistically valid results. This methodology enabled a thorough analysis of the factors influencing energy consumption. The findings enhance energy efficiency in cold storage warehouses, leading to reduced carbon dioxide emissions and fostering sustainable practices within supply chain management. Ultimately, this study successfully integrates green practices into cold storage operations, supporting broader sustainability objectives.

Determination of Warehouse Locations for Logistics Services in an Integrated City Spatial System (Case Study in Bekasi City)

Human needs consisting of clothing, food, shelter and medicines will increase every year and require services. There are many planning changes in the digital era, so it is necessary to study the location theory of logistics service storage warehouses in the city spatial system. This study aims to identify the characteristics of existing logistics services, examine the determination of the location of existing logistics service storage warehouses and become an opportunity for logistics service players who wish to be located in the region. This study uses location theory for location determination, nearest Neighbour ratio analysis and analytical hierarchical process in determining the criteria and alternative locations for logistics service storage warehouses. The results of the analysis in the identification of characteristics, namely location, company operations, company management, settlement patterns affect the distribution pattern of logistics services. Then the more dominant criterion is the market with the value obtained (0.542) because in carrying out any business activity, you have to see who is the market for the business activities being carried out. At the location of the case study as a sample, namely Jatiraden (0.618) which has the most potential according to criteria related to market, cost, human resources, infrastructure and institutions. The conclusions obtained for operational matters using three-wheeled vehicles in the distribution of logistics services are an alternative in distributing uniform residential areas. More loads and easier mobility because the accessibility of vehicles in uniform residential patterns tends to be wide. Suggestions that can be conveyed in determining the location and making any business activity must be seen from the urban area planning. So that stakeholders can refer to the city's spatial planning system, so that policies made by the government can be compatible and aligned with logistics service companies.

Investigating cross-docking criteria for raw materials with hybrid MCDM

The cross-docking process involves unloading raw materials from incoming vehicles and immediately loading them onto outgoing vehicles. This can greatly improve supply chain operations and expedite transportation to the factory. By minimizing warehouse storage expenses, space requirements, and inventory management, the process can be streamlined effectively. In industries where production profiles need to be responsive to market demands, the location of the cross-docking facility and transportation planning are crucial. This article aims to investigate the criteria for selecting a cross-docking location, using a case study of Arta Profile Company in Ardabil. The research population includes all industrial engineers and production planners in the company, with 10 industry experts selected for this study. The analytic network process (ANP) and grey complex proportional assessment (COPRAS-G) methods were used to compare and prioritize cross-docking locations. Additionally, the fuzzy DEMATEL method was used to determine the strength of connections between different locations. The COPRAS-G approach helps decision-makers make informed decisions by evaluating different options and their importance. The industry experts identified 28 criteria for this study. The results from the network analysis method showed that the most important criterion is the vehicle routing problem (VRP), with a value of 0.46. According to the ANP technique, strategic decision-making is the best option. The fuzzy DEMATEL method revealed that distribution centers are the most important factor, followed by reduced delivery/distribution operations, and finally, the cost of late or early delivery.

JUSTIFICATION OF THE FEASIBILITY OF COOPERATION BETWEEN FREIGHT FORWARDING ENTERPRISES AND CUSTOMS-LOGISTICS INFRASTRUCTURE OBJECTS

The purpose of the paper is to plan the activities of freight forwarding enterprises when organizing cooperation with customs-logistics infrastructure objects to meet customer needs. The efficiency indicators of cargo customs complexes, customs warehouses, and temporary storage warehouses were analyzed. The process of selecting customs-logistics infrastructure objects with varying levels of organizational, technical, and technological support was investigated. The proposed development will enable specialists of freight forwarding enterprises to form recommendations for cooperation with customs-logistics infrastructure objects in accordance with individual customer needs. Methodology. The determination of technical and operational performance indicators of customs-logistics infrastructure objects was implemented based on a simulation model developed in the GPSS software environment. This approach allows for the identification of deviations of generalized performance indicators of infrastructure objects from benchmark levels, which are formed taking into account customer requirements. Findings. To ensure a high level of competitiveness of the freight forwarding enterprise, it is necessary to use modern software systems capable of implementing management decisions regarding the formation of partnerships with customs-logistics infrastructure objects. Based on the assessment of technical and operational performance indicators of cargo customs complexes, customs warehouses, and temporary storage warehouses, and considering the main requirements of service customers, it becomes possible to select the most efficient business entity for cooperation. A significant advantage of the proposed development is the ability to perform a comparative analysis of the efficiency indicators of all studied enterprises in relation to the benchmark infrastructure object. Originality. The proposed simulation model for selecting customs-logistics infrastructure objects will allow specialists of freight forwarding enterprises to make a choice of intermediary organizations based on a comparative analysis of the technical and operational performance of the studied objects. Practical value. The practical significance of this work lies in the fact that the proposed model enables the selection of the customs-logistics infrastructure object that most effectively meets the individual needs of the customer. This will make it possible to plan the work of the freight forwarding enterprise based on the implementation of organizational and management measures that will positively impact the internal processes of the organization and contribute to forming its competitive advantages in the market of freight forwarding services. This implementation will reduce the duration of freight forwarding and customs-logistics services and minimize commercial risks at all stages of foreign trade operations by establishing cooperation with the most efficient intermediary organizations.

Optimization of Daily Warehouse Storage PT. XYZ with Shared Storage Method

PT XYZ is a company engaged in ship repair and maintenance services and port management services. The problems faced by PT XYZ in carrying out its business lines are related to the effective and efficient operational managerial activities of raw material warehousing. Problem solving steps are carried out by testing data processing and analysis using the shared storage method as a solution step related to the problem of warehousing layout and optimization. Problem solving with the shared storage method is a method of reconditioning the warehousing layout with the principle of First in First out or fast moving where the layout of goods is classified based on the order of the flow of goods movement according to the operational needs of PT XYZ activities. Based on the calculation results, if the company applies the proposed layout, there is an average distance savings of 4 m2. The layout of the placement of raw materials based on the proposed improvements has a more organized condition and facilitates the flow of goods movement as well as inputting the flow of goods in and out which can be more efficient if the goods are organized and inputted administratively, this also affects the quality of goods.

A hierarchical k-out-of-n optimization model for enhancing reliability of fire alarm systems

Fire alarm systems are crucial for mitigating the risks and damages associated with fires in process industries. These systems heavily depend on the performance of fire detection sensors to provide early detection and warnings, facilitating prompt evacuation and intervention measures. In order to improve the reliability of sensor systems typically requires the use of redundancy allocation techniques, such as a k-out-of-n configuration. In k-out-of-n configuration, the signals from all sensors are directed to a voter, which compares them and transmits a final signal once at least k signals are matched. However, challenges arise due to diverse failure modes with distinct impacts on the system. Integrating sensors through a single-layer k-out-of-n configuration, when there is only one voter, fails to fully highlight the potential advantages of redundancy in sensor systems. This paper addresses the limitations of the conventional configurations by introducing a hierarchical k-out-of-n system in which sensors can be integrated across multiple layers. In the k-out-of-n hierarchical system, sensors are organized into distinct groups, each employing its own k-out-of-n sub-system. Subsequently, the outputs of these sensor groups can be integrated with other groups through their respective voters in higher layers of the hierarchy. Ultimately, at the top layer, all the voters from the preceding layers must be connected to a top voter to transmit a final signal. Furthermore, an optimization model is developed to minimize the system cost while maximizing reliability, considering the best selection of sensors and the system configuration. The proposed optimization model takes into account a multi-sensor system with two competing failure modes and incorporates the probability of sensors' failure modes in the system. The hierarchical k-out-of-n system provides an opportunity to validate sensors by comparing them within their designated groups, allowing for the identification of the location of a failure and the planning of appropriate actions accordingly. The proposed optimization model is applied to a case of a fire detection system in storage warehouse to demonstrate its advantages over the conventional model.

Si-C atomic line achieving efficient electrocatalytic nitrogen reduction reactions

In this study, the concept of a Si-C atomic line (SCAL) featuring fully exposed atomic sites is introduced for the first time, and the SCAL serves as a highly efficient electrocatalyst for nitrogen reduction reactions (NRR). Thanks to the strong binding strength of the Si-C bonds (polar covalent bonds), the SCAL exhibits exceptional structural stability at 298.15 K. With a band gap of 1.86 eV characterized by a semiconductor, SCAL exhibits relatively high conductivity which is advantageous for electrocatalytic processes. N2 is adsorbed on the C sites in an end-on mode due to the most negative adsorption energy (–0.39 eV), and the nature of adsorption is s-p orbital hybridization. Based on the end-on N2 adsorption, the entire NRR pathway is simulated and shows a relatively low energy barrier of 0.50 eV, which is relatively low compared to reported metal-free NRR electrocatalysts. The charge transfer mechanism reveals that the active sites (C atoms) are responsible for charge transfer, while other parts of SCAL act as storage warehouses for charge. Moreover, SCAL demonstrates a preference for NRR over hydrogen evolution reaction (HER), underscoring its excellent electrocatalytic selectivity. This study opens new avenues for designing high-performance catalysts.

Specifics of Data Collection and Data Processing during Formation of RailVista Dataset for Machine Learning- and Deep Learning-Based Applications.

This paper presents the methodology and outcomes of creating the Rail Vista dataset, designed for detecting defects on railway tracks using machine and deep learning techniques. The dataset comprises 200,000 high-resolution images categorized into 19 distinct classes covering various railway infrastructure defects. The data collection involved a meticulous process including complex image capture methods, distortion techniques for data enrichment, and secure storage in a data warehouse using efficient binary file formats. This structured dataset facilitates effective training of machine/deep learning models, enhancing automated defect detection systems in railway safety and maintenance applications. The study underscores the critical role of high-quality datasets in advancing machine learning applications within the railway domain, highlighting future prospects for improving safety and reliability through automated recognition technologies.

Pendampingan Perancangan Gudang Material dan Cutting pada Perusahaan Tas TIJ

Top Intera Jaya (TIJ) is a company that focuses on designing and producing high-quality leather bags, wallets, and accessories. TIJ has a monthly production capacity of 50,000 pcs and plans to increase it to 100,000. The company needs better storage capacity and production floor to support this increase. This Community Service Program (CSP) aims to assist TIJ in redesigning the production floor into a raw material and cutting storage warehouse using the shared storage method. The shared storage method organizes warehouse space using the FIFO (First In First Out) principle, where the fastest delivered items are placed in the storage area closest to the exit. This CSP began by conducting interviews with resource persons, namely warehouse staff, to understand the needs of TIJ. After getting an initial overview, the team designed the training materials that TIJ needed. CSP was conducted on February 2, 2024, with the pre-test and post-test results showing an increase in participants' understanding of warehouse design from 33% to 67% and from the results of the training and mentoring, the team and management of TIJ agreed that the shared storage method with the FIFO principle is the best solution that will be implemented for warehouse layout efficiency at TIJ.

A bay design problem in less-than-unit-load production warehouse

In this paper, we consider a bay design problem in a less-than-unit-load production warehouse, which is motivated by a real-world problem in a semiconductor company. The objective is to maximize the utilization of the vertical space in bays by considering several practical storage requirements. To solve the problem, a non-linear integer programming model is first formulated. Since the problem is similar to a two-stage cutting stock problem (CSP), a column-and-row generation (CRG) method is developed, in which the original problem is decomposed into a restricted master problem and three subproblems, including two classical column generation subproblems and a row generation subproblem. The two former subproblems are solved as unbounded knapsack problems and for the latter, a two-stage approach is applied. The results of computational experiments on randomly generated instances show that the proposed CRG method is more efficient than the classic column-generation-based method, solving the non-linear model directly and solving a cut model in the literature directly. The results of a case study show that our strategy can improve the utilization of the existing warehouse storage space significantly by about 24%. The CRG method is also tested on basic two-stage two-dimensional CSP benchmarks and its performance is compared to those of other pattern-based methods. The results show its potential for effectively solving the basic two-stage two-dimensional CSPs.

Compósito à base de polipropileno reciclado para utilização em instalações agrícolas

ABSTRACT This study aims to develop an eco-friendly, recyclable, and cost-effective composite material for use in storage sheds and machine workshops. The new composite consists of stone dust and gravel bricks bonded by recycled polypropylene through heat treatment. The main focus of this study is to determine the effects of varying polymer proportions on the resistance and permeability properties of the studied composite, intending to achieve optimal properties, i.e., high resistance and low permeability. To do this, the 2² factorial arrangement was employed, comprising four treatments along with three central points, each replicated three times. The data was statistically analyzed at a 95% confidence level from an adapted methodology. This involved tests of compression strength, 3-point bending strength, Los Angeles abrasion, and water absorption by immersion, in which three percentages of polymer content (PC) - 15, 25, and 35% - and aggregates (fine sand, medium sand, and coarse sand - FS, MS, and CS) were used to prepare the composite. The developed composite was deemed suitable for use in storage warehouses and machine workshops, as it presented physical and mechanical appropriate characteristics, i.e., a low water absorption rate and high resistance to compression and abrasion, in addition to being an environmentally friendly composite.

ALTERNATIVE UTILIZATION OF TOBACCO LEAF WASTE USING THE ANP METHOD AT THE REDRIYING BOJONEGORO COOPERATIVE

The Bojonegoro Redriying Employee Cooperative (Kareb) is one of the tobacco drying places/services in East Java under the auspices of the cooperative. The tobacco sticks (ste,) operated by KAREB are not grown and piled up in the storage warehouse. Each tobacco drying process in 1 year produces 8,665,409 stems, while there is no additional cost for stem storage. This research uses the ANP method because there are 3 alternatives chosen in this research, namely briquettes, compost and bioplastics. ANP is a structured problem-solving method and there is a dependence on the relationship between its elements, the ANP method was chosen because the proposals to be applied have interrelated criteria, ANP involves hierarchical relationships but does not require a standard structure. The priority of each cluster in the model is in the 3 alternatives, namely briquettes with a value of 0.73868, then from the 6 sub-criteria, the highest value is in waste utilization, which is 0.66140, then from the 3 highest value criteria, namely the economic aspect with a value of 0.68261. Charcoal briquettes can function as an alternative fuel to replace the use of oil and gas fuel in industry and households, these briquettes are a source of renewable energy produced from biomass, namely plants or plants that are abundant in the environment. The ecological aspect because seeing the opportunity for waste if processed can be useful into a product with high selling value, from an economic point of view, the community's ability to process agricultural waste into charcoal briquettes as a source of renewable energy can be an additional source of income. The briquette production is the first step of authoring all biomass is put into a jobong container and burned, then the charcoal powder filled in the jobong is stretched and separated between charcoal and dirt, followed by the addition of adhesive and printer adhesive material used is tapioca flour.

Optimization Problem for Deteriorating Items Model with Stock Dependent Demand and Controllable Deterioration Under Two Warehouse Storage Facility

Optimization Problem for Deteriorating Items Model with Stock Dependent Demand and Controllable Deterioration Under Two Warehouse Storage Facility

Picker routing in scattered storage warehouses: an evaluation of solution methods based on TSP transformations

AbstractTo optimize their order fulfillment processes, many e-commerce warehouses employ a storage assignment strategy known as scattered or mixed-shelves storage. Under this approach, unit loads of homogeneous products are divided, and individual pieces are stored in various shelves throughout the warehouse. This arrangement ensures that products that appear together on unpredictable pick lists are stored in close proximity somewhere in the huge warehouses, reducing the travel distance for pickers. Despite these advancements, efficiently guiding pickers through the warehouse remains a significant planning challenge. Since the same products can be found in multiple storage positions, the traditional picker routing problem becomes more complex, as an additional selection task arises regarding which shelf to retrieve each requested product from. While previous research has developed several tailor-made solution algorithms, we demonstrate that known transformation schemes used for different variants of the well-known Traveling Salesman Problem (TSP) can be utilized to convert the single picker routing problem with scattered storage (SPRP-SS) into a classical TSP. This approach enables us to leverage the extensive array of state-of-the-art TSP solvers. The purpose of this paper is to explore the performance of these solvers when applied to solving the SPRP-SS. Through our computational study, we found that existing TSP solvers exhibit good performance, allowing near-optimal solutions to be obtained in less than a second for real-world scale SPRP-SS instances. Moreover, the efficiency of these TSP solvers remains unaffected by the number of cross aisles in the warehouse. Consequently, we exploit this flexibility to investigate the impact of cross aisles on picking performance in scattered storage warehouses.

Analisis Penanganan Incoming Cargo Domestik pada PT. Angkasa Pura Logistik Cabang Bandar Udara International Jenderal Ahmad Yani Semarang

Domestic Incoming Cargo Handling is more complex than Domestic Outgoing Cargo Handling. Domestic Incoming Cargo Handling is where domestic goods are unloaded from the plane and then taken to the cargo terminal to be checked one by one by officers and after that they will be taken to the storage warehouse until the customer picks up the goods. the item. However, to pick up these goods there are conditions that must be met, such as bringing an air bill of lading (SMU), an identity card from the customer. However, in the process of handling incoming domestic cargo, there are still obstacles such as unpredictable weather factors which hinder the release of goods, missing quarantine documents and causing officers to replace new quarantine documents. Goods stray to other airports so officers have to create a new air bill of lading number or (SMU). However, in the process of handling incoming domestic cargo, there are still obstacles such as unpredictable weather factors which hinder the release of goods, missing quarantine documents and causing officers to replace new quarantine documents. Goods stray to other airports so officers have to create a new air bill of lading number or (SMU). occur during the handling process. incoming domestic cargo. This research uses qualitative research. The methods for collecting data in this research are observation, interviews, and finally documentation. The aim of the research is to find out how incoming domestic cargo is handled by operational officers and logistics staff and to find out what obstacles are faced by operational officers and logistics staff and the solutions taken by operational officers and logistics staff if problems occur during the handling process. incoming domestic cargo Based on the data obtained regarding the handling of incoming domestic cargo, the process of handling incoming domestic cargo carried out by operational officers and logistics staff is in accordance with the standard operational procedures (SOP) that apply at PT. Angkasa Pura Logistik, the obstacles faced by officers such as bad weather, lost documents, officers are looking for solutions by speeding up the process of handling goods and replacing lost documents with new ones.

AHP를 활용한 컨테이너 보관창고 입지 결정 중요도 분석

The purpose of this study is to investigate the relative importance of determining factors of location decision regarding container storage warehouses, and thus, provide a method to resolve difficulties when selecting the location of small-sized container storage warehouses by verifying essential factors to consider in location decision. Few studies have examined container storage warehouses, hence, this study attempted to study the difference of location decision between logistics centers and container storage warehouses through Analytic Hierarchy Process (AHP). Results showed that considering the conditions of the hinterland is the most important factor in location decision, followed by traffic accessibility, site conditions, operating entities, and ownership entities. In detail, the most important factor regarding the conditions of the hinterland was whether or not the area had few civil complaints; the most important factor for traffic accessibility was the proximity of infrastructure to the logistics industry; the most important factor regarding site conditions was land price competitiveness; the most important factor in operating entities was whether or not they were self-operated; and the most important factor regarding ownership entities was ownership type.

Analisis Perbaikan Kualitas Pelayanan Jasa Penyewaan Gudang Menggunakan Metode Service Quality dan Importance Performance Analysis

Service quality is crucial for companies in the service sector, directly impacting customer satisfaction. PT BLI, a company offering TPS warehouse rental services, is facing issues with a low influx of containers and customer complaints. This research aims to analyze the service quality at PT BLI's warehouse storage section using the Servqual method, which encompasses five quality dimensions and 24 attributes, followed by Importance Performance Analysis (IPA) to identify attributes that require immediate improvement. The Servqual analysis revealed that 10 attributes of PT BLI's service quality do not meet customer expectations. Through IPA, five attributes were identified as high-priority for improvement: the safety of goods in the warehouse (gap of -0.07), the informativeness of employee service regarding activity updates (gap of -0.14), the speed of employees in processing goods in and out of the LCL warehouse (gap of -0.34), the ability of employees to understand consumer needs (gap of -0.01), and the communication skills of employees in providing excellent service (gap of -0.32). Addressing these critical service quality gaps will help PT BLI enhance customer satisfaction, reduce complaints, and potentially increase the number of incoming containers, positively impacting the company's standing in the warehouse rental industry.

Analysis of PVC-based Product Inventory Control with Economic Production Quantity and Lagrange Multiplier Methods at PT. XYZ

PT XYZ is a manufacturing company that produces various kinds of products made from PVC (Polyvynil Chloride). Some of the PVC-based products produced by PT XYZ are transparent sheet, colour sheet, and flooring. The problem that exists at PT XYZ is that the company often produces more than the amount of demand which makes the company have to prepare a storage warehouse with a capacity as large as the number of products produced. With this, the storage warehouse experiences overcapaity in controlling the inventory of products produced by the company. And it can be concluded that the problem that occurs at PT XYZ is inventory control and production quantity planning that has not been well planned. Based on the problems that occur at PT XYZ, the most suitable method used to solve these problems is the Lagrange Multiplier method. This research has a purpose to control the inventory of products made from PVC so as to minimize the total cost of product inventory at PT. XYZ. From the research This study found the optimal production amount of 1,332,999 m. Where with the amount of production, the company needs a warehouse area of 9,299.9 m3. The total inventory cost calculated using the Lagrange Multiplier method is IDR 377,073,841,401 while the company's total inventory cost is IDR 402,844,596,680. So that a savings of IDR 25,770,755,279 or 6.40% is obtained.

Analysis of the Redesign of the Rice Storage Warehouse Layout Using the Shared Storage Method at PT. XYZ

Analysis of the Redesign of the Rice Storage Warehouse Layout Using the Shared Storage Method at PT. XYZ