Excess Inventory Research Articles

Compression promotes the formation of {110} textures during homoepitaxial deposition of lithium

Li metal is an advantageous anode material for high energy-density secondary batteries, while several technical issues, such as instabilities and dendrite formation, hinder its scalable deployment. The electrochemical deposition of Li is an electrocrystallization process where preferred crystallographic growth can be formed. The anisotropy of chemical and physical properties associated with the resulting preferred orientations (i.e., textures) can then be utilized to strengthen the Li metal anode. Understanding texture formation and evolution during homoepitaxial growth is essential for the typical setup of an excess anode inventory. Herein, based on pole figures, inverse pole figures and orientation distribution functions from X-ray diffraction, compression is found to be a critical factor for forming {110} textures during deposition on a Li substrate. Without compression and under a high Li+ transference number environment, a sharp {100}<110> texture is formed in the epitaxial layer up to the high deposition capacity of 20 mAh cm−2, inheriting and intensifying the pre-existing texture of the Li foil substrate. Compression alters the homoepitaxial texture by deformation and dynamic recrystallization to produce a peak-type {110} texture component close to {110}<111>. Due to the low diffusion barrier of Li adatoms and rapid redox process of Li/Li+, the {110} texture is confirmed to be a benefiting factor that enables reduced overpotentials, improved stability and suppressed moss-like dendrites in Li metal anodes. This study adds crystallographic factors to the electrochemo-mechanical correlations of Li metal anodes and provides new opportunities for further optimizations of cell assembly and operation.

การลดต้นทุนในการติดตั้งโครงหลังคาประเภทโครงถัก

The objectives of this research were to: 1) to reduced costs incur in the installation of reducing of trusses installing, 2) to improved work processes to be more efficient y applying Lean's approach In practice, MUDA theory and 7 WASTE were overproduction, waiting, unnecessary movement (transporting), unprofitable work (inappropriate processing), excessive inventory (unnecessary inventory), unnecessary motions, and defect in order to work efficiently. Then compared the information before and after revision. The results of this study indicated that: 1) after studying, analyzing and improving the working process, the cost of installing the roof truss per area was reduced (Unit per square meters). Project I had installation cost for truss type roof trusses 194.43 baht per square meters. Project II had installation cost for truss type roof trusses 89.91 baht per square meters. It showed that cost was reduced for 104.52 baht per square meters, accounting for 53.76 percentage. Or calculated as reduced cost from Project I to 74,780 baht, accounting for 30.3 percentage. 2) Completed time for installation was reduced for 795 minutes or 1.66 days, accounting for 25.4 percentage. Consequently, work was completed successfully within 4.86 days as planned (5 days) without overtime work. This way could reduce cost when comparing the ratio of the area of project II. The area was greater than 643.91 square meters, accounting for 33.66 percentage. In addition, the weight of the steel frame was greater than 13 tons, accounting for 34.21 percentage. Even though it was using to lift the building floor 72 times, it could be reduced waste. It could be actually reduced the time of installing of trusses it so true. It has resulted in a lot of efficiency and productivity within the organization. Whether it was about a faster time, quality inspection of workpieces before installation, collecting details of the workpieces, editing workpieces conveniently, quickly and it will have also reduced the risk of working at heights.

Autoregressive Integrated Moving Average (ARIMA) Models For Forecasting Sales Of Jeans Products

Purpose: To be able to compete with other companies, it is necessary to estimate and forecast jeans products that will be ordered according to consumer demand every month, so that there is no excess inventory and product shortage. If there is a shortage of goods, the consumer will be disappointed with the seller, and vice versa if the goods are overstocked, the quality will continue to decline to the detriment of the seller and the buyer, resulting in a shortage of materials.Methodology: To overcome the problem of selling jeans products, the ARIMA method is suitable to overcome the problem of forecasting the stock of jeans sales. ARIMA model is a model that completely ignores the independent variables in making forecasts. ARIMA uses past and present values of the dependent variable to produce accurate short-term forecasting.Results: The built forecasting has a MAPE accuracy rate of 17.05% so it can be said that predicting has good results according to the criteria. Forecasting results in the following year show that sales tend to increase from the previous year.Originality: This research was conducted using sales data of jeans products at company XYZ and using the ARIMA method which previous researchers have never done.

Inventory management systems of small and medium enterprises in Bangladesh

PurposeInventory 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.Design/methodology/approachThe study applied a qualitative case study design. Data were collected from ten SME owners in Bangladesh. The study employed a purposive sampling technique to collect data. This study used semi-structured interviews to generate data. The NVivo software was used to analyze the data.FindingsThe findings show that most SME business owners collect raw materials from the local market. Along with the local sources, they collect raw materials from international markets. Some SME entrepreneurs collect raw materials throughout the country as they dealt with recycled products. Frequently, they used digital technologies and online media to manage raw materials. SME owners could not buy many raw materials due to financial crisis, wastage, and damage, leading to a ratio of 10–15% losses.Research limitations/implicationsThis research contributes greatly to the government, SME Foundation, and trade associations concerning the SME IM system. The study recommends the government should reduce the tax rate on importing SME raw materials and inventories and exporting SME products.Originality/valueThis is the first study that focuses on the IM systems of SMEs in Bangladesh.

Data-Intensive Inventory Forecasting with Artificial Intelligence Models for Cross-Border E-Commerce Service Automation

Building an adaptative, flexible, resilient, and reliable inventory management system provides a reliable supply of cross-border e-commerce commodities, enhances supply chain members with a flow of products, fulfills ever-changing customer requirements, and enables e-commerce service automation. This study uses an e-commerce company as a case study to collect intensive inventory data. The key process of the AI approach for an intensive data forecasting framework is constructed. The study shows that the AI model’s optimization process needs to be combined with the problems of specific companies and information for analysis and optimization. The study provides optimization suggestions and highlights the key processes of the AI-predicting inventory model. The XGBoost method demonstrates the best performance in terms of accuracy (RMSE = 46.64%) and reasonable computation time (9 min 13 s). This research can be generalized and used as a useful basis for further implementing algorithms in other e-commerce enterprises. In doing so, this study highlights the current trend of logistics 4.0 solutions via the adoption of robust data-intensive inventory forecasting with artificial intelligence models for cross-border e-commerce service automation. As expected, the research findings improve the alleviation of the bullwhip impact and sustainable supply chain development. E-commerce enterprises may provide a better plan for their inventory management so as to minimize excess inventory or stock-outs, and improve their sales strategies and promotional and marketing activities.

Don't waste that free lettuce! Impact of BOGOF promotions on retail profit and food waste

Buy‐one‐get‐one‐free (BOGOF), a ubiquitous sales promotion scheme by which consumers get two items for the price of one, encourages consumers to buy and waste food. An alternative promotional scheme is one where consumers receive a coupon for a second item available for free at a later time. Our work is motivated by British supermarkets which, facing criticism from lawmakers for running BOGOF promotions on perishables, started a “BOGOF Later” campaign with the claim that it would reduce the amount of waste. Food waste is indeed a very pressing issue, which has not yet been explored in connection to sales promotions. We compare the impact of these promotion schemes on a retailer's profit as well as on the amount of product wasted at the retail and household levels. We consider two possible applications: unexpected high inventory of a fresh product with a short shelflife and excess leftover inventory for an item at the end of its season or product life. We propose a two‐period newsvendor model which captures the sales‐boosting effect of promotions, the postpromotion sales drop due to satiation, the coupon‐redemption behavior, and the increased consumer wastage rate from BOGOF promotions. We obtain analytical comparisons of order quantity, profit, and waste across the different promotion schemes and use numerical experiments to generate further insights. We find that, in general, BOGOF promotions are profitable ways to liquidate inventory. In many instances, the increase in waste at the consumers' homes is offset by the decrease in waste at the retail store. As a result, BOGOF promotions often constitute “win‐win propositions” by simultaneously increasing the retailer's profit and decreasing total waste. Overall, our results paint a more favorable picture of the BOGOF promotion scheme than commonly perceived and suggest that its environmental criticism emanates from a too narrow and too consumer‐centric view of the waste problem.

An Integrated Value-Addition in Supply Chain Network for Metal-based Additive Manufacturing

The increasing speed of product development and the ability to deliver complex, near-net-shaped engineering metal parts are key benefits of additive manufacturing (AM). Producing or replacing parts by leveraging AM relies heavily on supply chain (SC) functions. Inadequately managed SC could lead to lower productivity and process waste. Hence, the aim is to integrate value-adding activities into the SC network using the principles of lean manufacturing, such as Value Stream Mapping (VSM) and flowchart. A case study of a braking system manufacturer company in South Africa was used to exploit VSM and the flowchart for reducing process waste. The result of the case study revealed that the frequent use of expedited shipping increased transportation costs and lead times required excess raw material inventory, and lengthy supplier order processing. The approach demonstrated the need to adjust the business model by virtually synchronising the flow of information across the SC players in the configuration of the entire AM production and distribution activities. The study provides a framework that can guide AM organisations in improving efficiency and achieving significant cost and time savings.

An Adaptive Web-Based Inventory Control System for Universities

Managing inventories is one of the major challenges that organizations such as tertiary institutions are facing. Most of the stocks kept in organizations are characterized by excessive inventory on hand, raw materials losing their quality, improper sourcing methods, poor personnel management skills, etc. There also exists a lack of accurate and timely information. In order to arrest these deficiencies, an adaptive web-based inventory control system was developed. The current inventory in the storage unit of Olusegun Agagu University of Science and Technology (OAUSTECH), Okitipupa was captured. Collection of data from the Procurement and Store Unit was done through interviews, observation of record books, and some printable data. The system was implemented using PHP, HTML files, BOOTSTRAP, and MySQL. The outcomes are the generation of timely alert messages and reports to management when the inventory level reaches an out-of-stock threshold, computation of various inventory analyses such as price levels, lead-time analysis, replenishment period demand analysis, vendors' delivery performance, and generation of low-cost stock recommender system.

An Inventory Optimization Model for a Textile Manufacturing Company

Inventory management is a crucial issue in most businesses from factories in industry to small and large organizations in the production or service sector. A company should determine an optimum inventory level between excessive inventory that takes up physical space, costs much, and lack of inventory which disrupts the supply chain causing unavailability of the product that makes customers change their idea and buy from another supplier.&#x0D; In this study, we first classify the items that the company manufactures by using ABC analysis and develop a mathematical model to minimize total cost to enable a better inventory management. We use ABC analysis method to evaluate products in a textile company in terms of importance and to track these products according to their priorities. Accordingly, we propose a mixed integer programming model to determine production quantities and inventory levels with minimum cost. The results shows that the company in concern can improve its total production and inventory costs by 3.8 percent.

Detecting overproduction: Evidence from inventory write‐down

AbstractWe use inventory write‐downs to differentiate opportunistic and non‐opportunistic overproduction measures. We posit that non‐opportunistic overproduction is positively associated with future write‐downs because overproduction generally leads to excess inventory, while opportunistic overproduction (to inflate earnings) is negatively associated with write‐downs because write‐downs decrease earnings. We find that change‐based proxies (deviations from past behaviour) are positively associated with the likelihood of future write‐downs, whereas residual‐based proxies (deviations from industry norms) are negatively associated with this likelihood, suggesting that the former (latter) primarily capture non‐opportunistic (opportunistic) overproduction. Our study highlights the importance of using appropriate overproduction measures for each research setting.

INVENTORY CONTROL OF BROWN PAPER RAW MATERIALS USING THE MATERIAL REQUIREMENT PLANNING METHOD IN PAPER COMPANY

Inventory of raw materials is an essential element in the production process. The research was conducted in a paper company with different product demand problems each period, resulting in excessive raw material inventory in the warehouse and high inventory costs. Material Requirement Planning (MRP) is the right system to deal with uncertainty when planning raw material requirements. The lotting techniques used in this study are Lot For Lot (LFL), Economic Order Quantity (EOQ), and Fixed Period Requirements (FPR). For January 2021 - March 2022, the LFL lot size MRP method resulted in the smallest total inventory cost of Rp 92.228.707.169 and managed to save 9.2% of costs compared to the company's actual costs. Inventory control with LFL lot size for April 2022 – June 2023 requires 14 orders with the DSOCC raw material inventory 11.865.136,77 kg; OCC 5.256.037,55 kg; NDLKCA 4.262.881,19 kg; local box 3.340.998,93 kg and the total cost of inventory is Rp 110.075.072.816,14

Analysis of Fuel Supply Control (Palm Shell) Using EOQ Method in Pt. Charoen Pokphand Indonesia Tbk

PT. Charoen Pokphand Indonesia Tbk. (Gorontalo) is still experiencing problems in managing fuel supply where the company often experiences a lack of inventory that hinders the production process. The company also experienced excess inventory, causing storage costs to rise. For this reason, companies need to exercise inventory control. One of the analytical tools that can be used to control inventory is the "Economic Order Quantity" (EOQ). From the calculation results, it was found that the optimal number of fuel supply purchases from palm oil shells using the EOQ method is 352 tons with a purchase frequency of 3 times in one period (1 year) so that the company can save fuel procurement costs. . The total inventory cost of raw materials with an EOQ of Rp. 32,845,640 while the cost incurred by the company without using EOQ amounted to Rp. 34,731,000. The savings that can be made by the company is Rp. 1,885,360 with a Reorder Point of 81.9 tonnes and a total safety stock of 241 tonnes.

Humanitarian aid distribution logistics with accessibility constraints: a systematic literature review

PurposeThe purpose of this paper is to review the relevant literature in order to identify trends and suggest some possible directions for future research in the framework of humanitarian aid distribution logistics with accessibility constraints.Design/methodology/approachThe authors developed a systematic literature review to study the state of the art on distribution logistics considering accessibility constraints. The electronic databases used were Web of science, Scopus, Science Direct, Jstor, Emerald, EBSCO, Scielo and Redalyc. As a result, 49 articles were reviewed in detail.FindingsThis study identified some gaps, as well as some research opportunities. The main conclusions are the need for further studies on the interrelationships and hierarchies of multiple actors, explore intermodality, transshipment options and redistribution relief goods to avoid severe shortages in some nodes and excess inventory in others, studies of the vulnerability of transport networks, correlational analysis of road failures and other future lines.Research limitations/implicationsThe bibliography is limited to peer-reviewed academic journals due to their academic relevance, accessibility and ease of searching. Most of the studies included in the review were conducted in high-income countries, which may limit the generalizability of the results to low-income countries. However, the authors focused on databases covering important journals on humanitarian logistics.Originality/valueThis paper contextualises and synthesises research into humanitarian aid distribution logistics with accessibility constrains, highlights key themes and suggests areas for further research.

Applying a hybrid MCDM technique in warehouse management

The main goal of this study is to apply Multi-Criteria Decision Making (MCDM) in managing a warehouse. One of the elements that could impact organization performance is warehouse management. Surplus inventory imposes some ad- ditional costs on the organization, and inadequate inventory stops the operation of an organization. For managing and controlling warehouse inventories, the MCDM method is recommended in this study. The inventories are categorized ba- sed on multi-criteria instead of a single criterion in ABC. To specify the criteria’s weight, Best-Worst Method is used, and to reach the final score of spare parts, the Analytical Hierarchy Process, and Technique for Order of Preference by Similarity to Ideal Solution is applied. Some strategies for managing and controlling organizations’ warehouse is recommended.

Utilizing SAP aATP Functionality for Real-Time Product Availability in the Supply Chain

This research paper explores the utilization of SAP Advanced Available-to-Promise (aATP) functionality to enhance real-time product availability in supply chain management. In today’s fast-paced market, the ability to provide accurate product availability information is crucial for maintaining customer satisfaction and optimizing inventory management. The aATP solution offers organizations the capability to assess inventory levels and fulfillment options in real time, integrating seamlessly with existing SAP systems. This study investigates the key features of SAP aATP, including its demand-driven replenishment, real-time analytics, and enhanced visibility across the supply chain. Through a combination of qualitative and quantitative research methods, including case studies and surveys, the paper analyzes the impact of aATP implementation on order fulfillment rates, inventory turnover, and overall supply chain efficiency. The findings indicate that organizations leveraging aATP experience significant improvements in responsiveness to customer demands and a reduction in stockouts and excess inventory. The paper concludes by discussing best practices for implementing SAP aATP, highlighting its role as a transformative tool in achieving agile and efficient supply chain operations. This research not only contributes to the existing body of knowledge on supply chain optimization but also provides practical insights for businesses seeking to leverage technology to enhance their operational capabilities.

Side-payment contracts for prefabricated construction supply chain coordination under just-in-time purchasing

This paper considers a prefabricated construction supply chain (PCSC) consisting of a project contractor who shoulders the on-site assembly task and orders prefabs from a prefabricated factory. To mitigate the heavy double handling costs associated with early and late delivery of prefabs, the project contractor requires the right quantity and exact type of prefabs are carried to construction sites according to its assembly schedule. This is known as just-in-time purchasing (JITP). However, JITP may increase the pressure on the prefabricated factory to hold excessive inventory or to compress production time. For these reasons, the prefabricated factory may be reluctant to switch to JITP. To initiate the operation of JITP and establish a win-win outcome, side-payment contracts including a delivery-time dependent subsidy and two constant transfer terms are designed as coordinate schemes. Employing Stackelberg, we explore participants’ optimal decisions. The results show that the JITP yields higher profit for PCSC, and the proposed contracts are capable of achieving a win-win coordination. In particular, the constant transfer cost term is relatively equitable to participants, while the constant cost-sharing transfer term outperforms the constant transfer cost term under a high double handling cost. Moreover, the prefabricated factory earns more profit when the double handling cost for early or late delivery is high. Some managerial implications are also obtained and help to strengthen cooperation among participants and promote the sustainable development of the PCSC.

Just in Time on Mechanical and Electrical Implementation in Leedon Hotel Surabaya

Mechanical electrical and plumbing (MEP) job is a job in construction project and the implementation is conducted after the workers conduct structural work. The use of materials has an important part from project total cost because waste will be happened if it is used uncontrollable. The aim of this study was identifying JIT application to electrical work in Leedon Hotel Surabaya. The condition before the researcher implemented JIT in Leedon Hotel project, it was identified waste caused by design change, lack of coordination between project and Head Office, and materials availability with excess material stocks. The limited size of the warehouse as MEP materials storage made the material storage not optimal and it had potential to be waste. Applying just in time concept had a focus on waste elimination by planning - needs - use in the field based on the application of JIT method in the Leedon Hotel project. Limited warehouse conditions could still carry out material control without using excess material inventory which had an impact on minimizing the emergence of waste.

The Significant of Lean Practice on the Sustainability Performance in Automotive Manufacturing Industry

This study attempts to evaluate the significant of lean practices on the sustainability performance in automotive manufacturing industry. Lean practices are typically used to eliminate waste that are produced by defects, waiting time, overproduction, extra motion, extra processing, excess inventory and unnecessary transportation. Meanwhile, sustainability performance is defined as the alignment of financial, environmental, and social objectives in the conduct of fundamental business operations with the goal of maximizing value. The study was conducted in the form of a questionnaire survey and the statistical analysis was carried out based on collected data. This study only focuses on automotive manufacturing industry in the area of peninsula Malaysia. Statistical Package for Social Sciences (SPSS) is applied to answer the research objectives and to test the hypotheses. The results show the high levels of Cronbach's Alpha indicate that the questionnaire data are valid and dependable. All the companies have significant gain more in terms of environment sustainability performance by adopting lean techniques. The study also indicates the most tools that had been implementing among the four companies are 5S, kaizen, kanban, employee commitment and teamwork. Through the multiple regression analysis, the result indicates that the lean practices have significant and positive effect on sustainability performance in automotive manufacturing industry. The current study also benefits manufacturer by providing information on the extent of lean manufacturing practices and their impact on three bottom lines (TBL) sustainability performance, allowing helping their company achieve long-term economic, environmental, and social improvements.

Pengoptimalisasi Sistem Distribusi Pesanan Buku Paket dengan Metode DRP &amp; Tabu Search

When the company purchases goods, the goods storage process is carried out using certain administrative records to implement planning and control to prevent shortages and excess inventories as well as acts of fraud that harm the company. The methods used in collecting research data are the Distribution Requirement Planning (DRP) and Tabu Search methods. . The data in this study were obtained based on recap data on the distribution of goods carried out by CV Almira Jaya Abadi. The purpose of this research is to plan distribution to focus more on product demand and delivery scheduling plans at CV Almira Jaya Abadi. Planning product orders using the DRP method. Comparing the total costs incurred with the company's method. Knowing the product distribution process system applied in this company. After forecasting, testing the DRP method for planning distribution schedules in the 2021 period. distribution using the DRP method found that after forecasting, the distribution cost of the DRP method during the 2021 period was Rp. 214,985. Comparison of the calculation of distribution costs between the company's method and the DRP method before forecasting, the results show that the DRP method is more profitable with a product distribution cost of IDR 2,085,015 compared to the company's initial cost of IDR 2,300,000. The company achieves efficiency through distribution calculations using the Distribution Requirement method. Planning according to the calculation on the first point is 90.65%.

Pengoptimalisasi Sistem Distribusi Pesanan Buku Paket dengan Metode DRP &amp; Tabu Search

When the company purchases goods, the goods storage process is carried out using certain administrative records to implement planning and control to prevent shortages and excess inventories as well as acts of fraud that harm the company. The methods used in collecting research data are the Distribution Requirement Planning (DRP) and Tabu Search methods. . The data in this study were obtained based on recap data on the distribution of goods carried out by CV Almira Jaya Abadi. The purpose of this research is to plan distribution to focus more on product demand and delivery scheduling plans at CV Almira Jaya Abadi. Planning product orders using the DRP method. Comparing the total costs incurred with the company's method. Knowing the product distribution process system applied in this company. After forecasting, testing the DRP method for planning distribution schedules in the 2021 period. distribution using the DRP method found that after forecasting, the distribution cost of the DRP method during the 2021 period was Rp. 214,985. Comparison of the calculation of distribution costs between the company's method and the DRP method before forecasting, the results show that the DRP method is more profitable with a product distribution cost of IDR 2,085,015 compared to the company's initial cost of IDR 2,300,000. The company achieves efficiency through distribution calculations using the Distribution Requirement method. Planning according to the calculation on the first point is 90.65%.