Warehouse Management System Research Articles

Towards the design of a smart warehouse management system for spare parts management in the oil and gas sector

IntroductionThe oil and gas production industry requires rapid changing. As oil and gas companies around the world are called upon to decarbonize, several sectors within the industry are attempting to find new ways of working to achieve decarbonization. One of those sectors is spare parts warehousing. During the past decades of oil and gas production, spare parts warehousing has not been prioritized in optimization measures. Warehouses have been filled with material, all activities have been performed manually, and financial expenditure has been high. Now, a large oil and gas production company in Norway is looking to optimize its spare parts warehousing to streamline its logistics activities and increase sustainability.MethodThis study addresses the optimization ambitions of the company and proposes key design elements of a smart warehouse management system using Industry 4.0 technology implementation. The study is conducted by performing a review of relevant literature and company ambitions, before embarking on a qualitative design measure to contribute to the company’s innovative success.ResultsThe study proposes optimization of the warehouse activities goods receipt, issuing of stocked goods, and inventory count. Additionally, the digital supply chain of tomorrow and the technical architecture of a track and trace system in the warehouse is suggested.DiscussionThe study’s results can be used in practical implications and provide a foundation for future research. Future research is suggested to include extensive visual simulations, practical implementation studies, and studies on long-term effects of implementation.

Physical Distribution Practices and Marketing Performance of Selected Fast Moving Consumer Goods Companies in South-South Region of Nigeria

This study was designed to investigate the influence of physical distribution practices (transportation management, warehousing management, communication and information systems, and order processing) on the marketing performance of selected fast-moving consumer goods (FMCG) companies in the south-south region of Nigeria. The survey research design approach was adopted using a structured questionnaire to collect data from 247 selected FMCG sales representatives involved in the distribution of FMCG products in the south-south region of Nigeria. Stratified random sampling was employed. The data gathered was analysed using percentages and frequency tables. The formulated hypotheses were tested using a multiple regression approach. Findings from the study revealed a strong positive influence between the independent variables (transportation management, warehouse management, communication and information systems, and order processing management) and the dependent variable (marketing performance). The researchers suggest that FMCG companies should prioritise transportation management to facilitate better and more efficient movement of goods and people, thereby improving their marketing performance. Given the limitations of this study, the researchers presented practical implications and directions for future research.

A review and research agenda for recent socially and environmentally sustainable practices for warehouse management systems

PurposeThe concept of a sustainable warehouse management system (WMS) is a relevant yet under-researched area within warehousing logistics. The purpose of this research is twofold: first, to review the literature on the topic of socially and environmentally sustainable practices; second, to lay the theoretical base for identifying social and environmental sustainability practices in warehousing operations that can serve as focus areas for WMS operational functions.Design/methodology/approachThis research built knowledge on a systematic literature review and bibliometric analysis in Scopus Elsevier and Web of Science Core Collection databases. After comprehensively filtering English literature from 2016 to 2024, only 43 out of the initial 601 studies comprised relevant warehousing practices that can be incorporated into the scope of WMS activities.FindingsAs a result, retrieved practices were allocated to a specifically designed warehouse model within the main processes, equipment and resources. This model could serve as a baseline for incorporating 48 sustainable WMS practices. The prevailing share of practices focuses on environmental rather than social warehouse sustainability. WMS should adopt sustainable warehousing practices to reduce warehouses' carbon footprint, energy and resource consumption and improve working conditions in a warehouse.Originality/valueThere have not been any existing reviews on warehouses' social and environmental sustainability to synthesize knowledge and serve as a base for WMS sustainability. This research will contribute to developing more sustainable and environmentally responsible warehousing operations, ultimately benefiting society and the environment. By incorporating such practices into WMS, warehouse owners can ensure efforts toward social and environmental sustainability while still maintaining efficient operations.

Review on Automated Storage and Retrieval System for Warehouse

The swift expansion of e-commerce and supply chain operations has significantly enhanced the efficiency of warehouse management systems, establishing them as vital components in augmenting organizations' competitiveness. This paper delves into warehouse sorting systems to enhance the sorting process, reduce error rates, and simplify internal warehouse procedures. It aims to develop a scalable, adaptable, and efficient warehouse sorting system that can maximize sorting efficiency while effectively responding to changing market demands through the use of advanced automation technologies. The study provides an in-depth review of the literature that has explored the Automated Storage and Retrieval System (ASRS) within the context of warehouse operations. It offers a comprehensive introduction to the operational systems of warehouses, detailing each type of ASRS along with the technologies that can improve the efficiency and accuracy of these systems. Moreover, the paper thoroughly investigates and classifies the ASRS design decision problem and compares multiple types of ASRS. The analysis aims to delineate the distinctions among various ASRS configurations, assessing their scalability, adaptability, and their impact on operational efficacy in warehouse environments Through this comparative review, the paper emphasizes the potential enhancements in sorting processes that modern ASRS can provide, ensuring that warehouse operations can rapidly adapt to market changes and demands. The goal is to highlight best practices and technological innovations that can lead to more responsive and efficient warehouse management systems. This exploration contributes to a better understanding of how cutting-edge automation and adaptable system designs can significantly influence the efficiency of warehouse sorting processes.

Optimizing Packing Operations with an Integrated Barcode Warehouse System

General background: Business competition in the globalization era demands companies enhance operational efficiency, particularly in warehouse management. Specific background: Packing operations significantly influence the supply chain's effectiveness, affecting goods availability, delivery speed, and customer satisfaction. However, challenges like manual errors, slow item identification, and lack of integration between warehouse management systems and modern technologies persist. Knowledge gap: Despite the increasing use of warehouse management systems, the potential of integrating barcode technology to optimize packing operations has not been fully explored. Aims: This study aims to examine the optimization potential of packing operations using an integrated barcode-based warehouse management system. Results: By employing the SDLC waterfall model for application development, the integrated system showed improvements in item identification efficiency, minimized packing errors, and enhanced inventory accuracy. Novelty: The proposed approach demonstrates how barcode technology can streamline warehouse management processes, which is not thoroughly documented in existing literature. Implications: These findings provide insights for companies to develop effective strategies and technologies to improve warehouse operations, ensuring a stronger position in the competitive market. Highlights: Barcode integration improves packing speed and accuracy. The system reduces manual errors in warehouse operations. Enhances inventory management for better supply chain performance. Keywords: Packing Optimization, Warehouse Management, Barcode Integration, Efficiency, Inventory Accuracy

Mitigating data inaccuracy and supply chain challenges in Western Romania's automotive industry

The purpose of this paper was to emphasize the importance of data accuracy within internal logistics systems and their extended influence on supply chains in automotive industry through 6-month multiple case studies conducted on 3 first tier original equipment manufacturers (OEM) based in Western Romania. The study investigates the most common causes of data inaccuracies among automotive suppliers and their approaches to reduce consequential supply chain issues and be more agile. Data collection and analysis revealed that main issues arise due to ordering quantities mismatching actual customer demand, a wide range of order lot sizes, lead times and delivery reliability concerns and the reluctance to shift away from mainstream cost-effectiveness and towards strategic added value thinking. These issues sourced significant other related operational challenges such as excessive inventory, short-term stockouts and subsequent express shipping services or product-related inconveniences (quality and capacity levels, contracted volumes and dedicated lines). The paper sources different logistics and supply chain strategies used by the 3 OEMs, their features and operational performance, as well as their overall effectiveness, which can be applied by other automotive industry suppliers to improve own results. Introducing more reliable real-time data collection tools and performance metrics has started hauling more focus towards solving these prevalent issues with some ongoing improvement projects showing up to 25% better results. For one of the 3 OEMs introducing a new warehouse management system has already sourced an overall quality increase (5 percentage points) due to a 60% higher utilization of its production equipment.

Analisis Pengelolaan Obat Di Instalasi Farmasi Puskesmas X Kabupaten Sukoharjo

The management of medicines in community health centers is a key element in healthcare services. This study aims to analyze the management of medicines at the Pharmacy Installation of X Community Health Center in Sukoharjo Regency. The aim of this research is to determine the suitability of indicators for the selection, planning, procurement, distribution, and use of drugs at this community health center, and to identify the strategic position of the pharmacy installation within the SWOT matrix. This research employs a descriptive analysis study design with a nonexperimental qualitative approach. Data were collected retrospectively through a review of documented records. Data collection techniques included document review, observation, and interviews at X Community Health Center in Sukoharjo Regency. The results showed that the indicators for compliance with the community health center's formulary were in accordance with standards, but the compliance of medicine items with the national formulary and the national essential medicines list was not up to standard. In the planning and procurement stages, all indicators met standards, such as the comparison between the number of medicine items planned and those actually used, the frequency of procurement of each medicine item annually, and planning deviations. In the distribution stage, the indicators for medicine matching with stock cards and the warehouse management system met standards. In the usage stage, the percentage of prescriptions with generic medicines met standards. The SWOT analysis results indicated a position in quadrant 1.

Competitive Advantage Development Model with Logistics Competence

Uniqueness in the field of logistics was chosen as the basis for excellence in higher education at Institute of Economics Science Cendekia Karya Utama in Indonesia, because it is considered that logistics capabilities are the basis for building competitive advantages for its alumni. However, this program has never been studied for the effectiveness of its implementation and also for its follow-up development model. Based on the Resource Based View theory, this research aims to determine the effectiveness of the logistics competency program and build a competitive development model at Institute Economic Science Cendekia Karya Utama Semarang. Through qualitative methods involving informants from the Indonesian Logistics Training Institute, lecturers, logistics practitioners and graduate who work in logistics companies, it was found that to increase broader competitive advantage there needs to be strengthening in several aspects, namely the need to add digital logistics curriculum content (ex: warehouse management system, transportation management system and strengthening foreign languages (English, Mandarin). A logistics-based competitive advantage development model can be developed by synergizing and collaborating between universities and alumni, the business and industrial logistics, practitioners and training institutions according to their respective roles -each of which is discussed in this study. This study contributes to the expansion of the resource based view theory and the development of graduate quality and unique logistics competencies as a basis for building excellence from Institute Economic Science Cendekia Karya Utama Semarang, Indonesia

The Effectiveness of Implementing Warehouse Management System on Productivity Improvement and Stock Accuracy (A Case Study on FMCG Logistic Service Companies in Palembang, Indonesia)

This study investigates the effectiveness of implementing Warehouse Management Systems (WMS) on productivity improvement and stock accuracy in FMCG logistics service companies in Palembang, Indonesia. By comparing manual, outsourced, and in-house WMS, the research analyzes their impact on key performance indicators through a quantitative research design using descriptive analytics and multiple regression analysis. Data collection involved measuring productivity per person per hour and stock accuracy per SKU, complemented by interviews with employees. The findings reveal that in-house WMS significantly enhance productivity and stock accuracy compared to outsourced and manual systems. This research provides valuable insights for logistics companies aiming to optimize their warehouse operations and improve overall efficiency.

Examining the Standardization of Solutions for the Integration of Implementation of Warehouse Management Systems

Examining the Standardization of Solutions for the Integration of Implementation of Warehouse Management Systems

Methodical Approach: Building a Web-Based Warehouse Management System Using the Waterfall Method

This paper presents a comprehensive methodology for developing a web-based warehouse management system (WMS) utilizing the Waterfall method. Warehouse management is a critical aspect of business operations, and the transition to web-based systems offers numerous advantages in efficiency and accessibility. By adopting the Waterfall method, which provides a structured and linear approach to software development, this study ensures a clear framework for system implementation. The system's architecture, including its use of HTML, CSS, JavaScript, and PHP, is discussed in detail, highlighting the technical aspects of the development process. Through the analysis of various diagrams, such as Use Case, Class, and Activity diagrams, the paper demonstrates the system's functionality and its potential to enhance warehouse management practices. This research contributes to the advancement of warehouse management technology, offering insights into the implementation of web-based systems using established software development methodologies.

Analisis Sistem Manajemen Pergudangan Pada Pt. Liquid Kencana Abadi

A warehouse is a separate area that functions as a place to store raw materials, parts and supplies. Every warehouse cannot be separated from a system. Warehouse Management System which is a warehouse management system that regulates/controls all warehouse activities, as is done by PT information. Liquid Kencana Abadi, a company engaged in the sale and distribution of goods. The objectives of this research are 1) To find out the warehouse management system at PT. Liquid Kencana Abadi, 2) To find out the problems faced by PT. Liquid Kencana Abadi in terms of warehouse management systems, and 3) To find out efforts to overcome warehouse management system problems at PT. Liquid Kencana Abadi. The type of research used is a descriptive qualitative approach method. Based on the known results of research conducted by researchers, they can find out the implementation of the warehouse management system implemented at PT. Liquid Kencana Abadi cannot yet be implemented optimally, this can be seen through the process of ordering and storing goods which is still not carried out effectively and efficiently. Furthermore, in this research it can be seen that the problems faced in implementing the warehouse management system are internal obstacles, such as human error problems and a less conducive warehouse environment. The efforts that have been made by PT. Liquid Kencana Abadi in overcoming this problem is by re-evaluating the warehouse management system process that has been carried out.

A Roadmap to Modern Warehouse Management System

A Roadmap to Modern Warehouse Management System

Advancing Warehouse Management Systems: Optimizing Loading-Unloading, Conditioning, Packing and Marking Processes with Adaptive AI Technology

Advancing Warehouse Management Systems: Optimizing Loading-Unloading, Conditioning, Packing and Marking Processes with Adaptive AI Technology

The Consulting Research of ABC Warehouse

After discovering the existing problem in the HK distribution center of ABC, our research team got in touch with the staff of the warehouse and then completed the diagnosis of the problem as well as the consideration of optimization actions through the interview, combined with literature analysis. Our team interviewed 4 employees and summarized the current workflow and existing workarounds in the warehouse. In the current working environment, employees are under high work pressure, a high error rate, and the workflow does not match the work system. We put forward the system optimization suggestions for integrating Personal Digital Assistant (PDA), Warehouse Management System (WMS), and Ultra Wide Band (UWB) positioning technology and make corresponding adjustments in both equipment and management, hoping to get the expected outcomes of the intervention.

Effect of Warehousing Management on Supply Chain Performance: A Case of Inyange Industries Ltd

In local and globalized markets, warehouses are crucial supply chain nodes. This study aimed to investigate the effect of warehousing on supply chain performance: A case of Inyange Industries Ltd. The goals were to evaluate how inventory management, warehouse capacity building, and material handling affects supply chain performance in Inyange Industries Ltd. This research experimented with three different theories: Just-in-time, Lean, and Triple-A supply chain. The population of this study were 105 staff members of Inyange Industries Ltd. Therefore, census was conducted because the population size is affordable and the researcher can be able to contact all the respondents. Quantitative data were analyzed using inferential research methodology in this study. Questionnaires were used to gather primary data, which was then analyzed. Data analysis was carried out using the Statistical Package for the Social Sciences (SPSS), and descriptive and inferential statistics were used to show the study's results. According to the research, supply chain performance is positively and significantly affected by both automated and manual material handling. Mechanical material handling, on the other hand, improves supply chain performance, but not much. Inyange Industries' supply chain performance is influenced by the material handling systems to the tune of 19.3%, as shown by the modified R2 value of 0.193. According to the research, supply chain performance is positively and significantly affected by inventory counts, warehouse management systems, and inventory organization. A 0.967 adjusted R^2 value suggests that 96.7% of the variation in Inyange Industries' supply chain performance is explained by the inventory management techniques. According to the research, supply chain effectiveness is positively and significantly impacted by warehouse demand planning, design, and management. Warehouse capacity planning techniques at Inyange Industries account for 95.4% of the variation in supply chain performance, as shown by the modified R2 value of 0.954. The research concluded that material handling, inventory management, and warehouse capacity planning are all important warehouse management measures that significantly impact supply chain performance for the better. The methods used by Inyange Industries Ltd. for managing their warehouses have resulted in an improvement in supply chain performance of 87.2%. The regression coefficients, supported by their t-test values and Beta coefficients, highlight both the significance and strength of relationships between independent and dependent variables. Material Handling demonstrated the greatest impact (β1=0.532, t=8.556, p=0.000), followed by Inventory Management (β2=0.379, t=6.147, p=0.000), and Warehouse Capacity Planning (β3=0.172, t=3.268, p=0.002), emphasizing their respective contributions to Supply Chain Performance of Inyange Industries Ltd.'s supply chain. This proved that material handling in warehouse management has a major influence on supply chain performance. Because the p-value was lower than 5%, we may say that the association is statistically significant. The research concluded that both automated and human material handling should get additional funding. To maximize efficiency in stock-taking as well. Previous studies have looked at a variety of organizational factors that affect performance of supply chains. To further understand how warehouse management strategies affect overall performance, more research is needed.

Multi-objective optimization for perishable product dispatch in a FEFO system for a food bank single warehouse

One of the main challenges of food bank warehouses in developing countries is to determine how to allocate perishable products to beneficiary agencies with different expiry dates while ensuring food safety, meeting nutritional requirements, and minimizing the shortage. The contribution of this research is to introduce a new multi-objective, multi-product, and multi-period perishable food allocation problem based on a single warehouse management system for a First Expired-First Out (FEFO) policy. Moreover, it incorporates the temporal aspect, guaranteeing the dispatch of only those perishable products that meet the prescribed minimum quality standards. A weighted sum approach converts the multi-objective problem of minimizing a vector of objective functions into a scalar problem by constructing a weighted sum of all the objectives. The problem can then be solved using a standard constrained optimization procedure. The proposed mixed integer linear model is solved by using the CPLEX solver. The solution obtained from the multi-objective problem allows us to identify days and products experiencing shortages. In such cases, when there is insufficient available inventory, the total quantity of product to be dispatched is redistributed among beneficiaries according to a pre-established prioritization. These redistributions are formulated as integer programming problems using a score-based criterion and solved by an exact method based on dynamic programming. Computational results demonstrate the applicability of the novel model for perishable items to a real-world study case.

Analisis Manajemen Stok Pergudangan di Perusahaan Distribusi Cirebon

The warehouse management system manages every activity in the warehouse, from the receiving process to delivery. One of the problems that occurred in the PT. Warehouse. Fastrata Distribution Indonesia, namely processing data on incoming and outgoing goods, is still manual. This problem can result in a mismatch between the data and the goods in the warehouse. This research aims to find out information about the stock management system at PT. Fastrata Indonesian Distribution. Qualitative descriptive research is the method used. The research results show that PT. Fastrata Distribution Indonesia uses the FEFO (First Expired, First Out) system. However, the goods dispensing system still uses manual checks by user checkers. This manual check issuance system is still not practical, so it is recommended that companies use a Warehouse Management System (WMS).

Pengembangan Manajemen Sistem Digital dalam Departemen Warehouse Menggunakan Metode SOAR pada PT. XYZ

PT. XYZ is a company that operates in the field of gravure printing and flexible packaging. The development of digital-based warehouse management is based on the SOAR (Strengths, Opportunities, Aspirations, and Results) methodology, which in the long term can be used in the field of inventory and also as a strategic planning tool used by organizations to analyze strengths and opportunities and formulate strategic goals with focus. on future goals for appropriate outcomes. The method used is qualitative research observation by analyzing the development of digital system management in the warehouse sector using the SOAR diagram, showing that maximum results can be achieved by analyzing the warehouse management system by considering the SOAR method. The results of the analysis of the development of digital system management in the warehouse department using the SOAR matrix, it can be seen that this was realized because the system has many positive things which are strengths and various opportunities both from an internal and external perspective. One of the strengths of this system is a good system facility with structured goals, both short and long term and based on several strategies that can be taken.

Efektifitas Pengelolaan Manajemen Pergudangan Terhadap Sistem Distribusi Beras pada Pemerintah Daerah DKI Jakarta

DKI Jakarta experienced the rice production deficit of 99.61% in 2020. The problem arised because DKI Jakarta could fulfill its rice necessity from other cities and the poor management of the warehouse and distribution system. The aim of the study is to propose a warehouse management to improve the effective distribution system. The study used qualitative descriptive research method. There were 16 officials of the warehouse management and distribution system in PT. Tjipinang Jaya Food Station as the participants. The data was processed using the credibility, transferability, dependability and confirmability tests approaches. The results of the study indicate that the warehouse management and distribution system in PT. Tjipinang Jaya Food Station is considered ineffective and inefficient in improving food security operation in DKI Jakarta. The evidence found is the absorption or the less than demand purchase of the product, which is 2,665 tons with a total demand of 688,226 tons. The problem with inequality distribution, decreased quantity in the distribution process, raw materials received delay, unfulfilled delivery of finished material to consumers and uncertainty of the warehouse utilization planning are factors needed to be restored continuously in the future.