Optical film cutting is a critical upstream process in LCD and electronics manufacturing, characterized by high material costs, diverse order specifications, and frequent demand fluctuations that complicate production planning. In practice, manufacturers must coordinate cutting methods, manage semi-finished inventory across multiple periods, and handle recyclable waste simultaneously. However, these decisions are often made independently, resulting in excessive material usage, unstable inventory levels, and avoidable waste. This study develops a multi-period optimization framework for LCD optical film cutting that integrates two production routes, namely slitting and miter cutting, with inventory control and waste recycling. The model captures key operational trade-offs, including process selection, timing of intermediate production, and recycling decisions. It first minimizes total costs, incorporating material, processing, inventory, and waste-related costs, and is further extended into a bi-objective formulation that jointly considers operational cost and waste generation. The primary contribution of this research is to provide an integrated decision framework that reflects real production conditions in electronics manufacturing. By linking cutting, inventory, and recycling decisions across multiple periods, the model enables more coordinated planning and improved resource utilization. A case study with large-scale order data shows that the proposed approach can reduce waste, stabilize inventory, and improve the balance between cost efficiency and environmental performance. The analysis also reveals that cutting assignments tend to concentrate around several preferred angle configurations under realistic production conditions, suggesting the existence of practical process preferences and recurring operational patterns in optical film manufacturing. Overall, this study offers a practical planning tool for optical film converting operations and is applicable to other high-value, roll-based materials in precision manufacturing environments where inventory linkage, process flexibility, and recyclable waste are critical considerations.

Timely and cost-effective supply of spare parts is the main purpose of spare parts inventory management and substitution is an effective way to fulfill demand on time. However, direct substitution of spare parts is not suitable for the high-tech industries due to the ever-changing nature of the product structures. Hence, parts should be transformed to be used as substitutes. This paper provides a novel spare parts inventory control model for the high-tech industries. In the proposed model, part transformation-based substitution is considered and the near-optimal values of spare part inventory levels (s, S) that minimize total cost are determined by using a simulated annealing-based simulation optimization approach. Computational analyses are performed for a hypothetical inventory system by considering transformation and no-transformation cases. The results reveal that transformation is very useful for the companies who endure long production lead times and high penalty costs associated with backorders.

In food processing factories, especially when dealing with perishable items, managing inventory is crucial as it impacts sales, quality, and customer satisfaction. However, inventory management is often complicated by the costs and intricacies of the supply chain. This research aims to create a conceptual model that connects the costs and complexities of the supply chain with satisfaction, sales, and quality through optimized inventory management. The study involves a case analysis of thirteen food processing factories, using a structured questionnaire for data collection. To validate the proposed framework, PLS-SEM was employed. The framework addressed five key research questions, and the results confirmed that inventory management is essential for maintaining quality, sales, and satisfaction, and that supply chain costs and complexity influence inventory management.

The company always tries to improve competitiveness by improving company performance. Using upgraded digital technology makes it easier for internal and external companies to determine business strategies quickly and precisely. This study surveyed expedition companies in East Java, as many as 104 companies with the criteria of having a transportation fleet. Data collection using questionnaires and dissemination in collaboration with the Association of Express Delivery Service Companies, Post and Logistics Indonesia (ASPERINDO). Research respondents consist of employees or unit leaders who are competent in the substance of the survey. Data analysis uses the partial least square (PLS) method. The results showed that digital technology positively and significantly impacts supply chain collaboration, inventory management, and supply chain resilience. The company's ability to build supply chain collaboration impacts improving inventory management optimization, supply chain resilience, and supply chain performance. Furthermore, inventory management with the ability to control inventory well and on-time delivery does not impact supply chain resilience. However, good inventory management has a positive impact on supply chain performance. Likewise, shipping companies, by increasing supply chain resilience, have an impact on supply chain performance. The results of this study contribute to the theory of supply chain management and resource-based view. The practical contribution enlightens the middle and top management on the importance of digital technology with the suitability of investment and benefits obtained in improving supply chain performance.

The organizational performance at public hospitals differs from the corporate sector and faces maladministration. Further, performance at public hospitals is crucial as it directly affects human lives and endeavors for accessibility to medicines and equipment. This research is designed to determine the mediating role of inventory control practices in proficiency and organizational performance at public hospitals. This paper uses a quantitative research with a survey method using multistage cluster sampling which was performed on a sample size of 200. Exploratory Factor Analysis and Confirmatory Factor Analysis validated the model for Structural Equation Modeling. The findings of this research indicate a significant positive effect and full mediation of inventory control practices between the study variables. Further, the significance indicated that competent and well-trained staff manages inventory efficiently for improved organizational performance through better service quality and reduced cost. An integrated second-order model of this research will benefit the public hospitals, healthcare industry at large, organizations managing mega structured inventory, and to the body of knowledge.

This paper presents an empirical investigation to evaluate the impact of purchase, storage and inventory management on the production costs of materials supply management in the Peruvian paper industry. A linear regression model was used under the ordinary least squares method to determine the causal relationship between the provisioning of materials and production costs. It was concluded that the evaluation of the effect between the study variables was inversely proportional, that is, as the management of purchase, storage, and inventory in companies improve, the production costs may also be reduced.

The primary objective of the research paper is to provide some insights on the concepts of intellec-tual capital and its important dimensions alongside to investigate the possible association between intellectual capital and attainment of competitive advantage. This study focuses on Iraqi hotel industry which is an under-research area in the context of intellectual capital and its relationship with competitive advantage. An adapted questionnaire was utilized to collect the responses from top and middle level managers of four and five-star hotels in Iraq. The reliability and validity of data collec-tion instrument were measured through Cronbach’s alpha, Composite Reliability and Average Var-iance Extracted respectively. The competitive advantage was then regressed against Human, Rela-tional and Structural capital by application of Partial Least Square methodology. Results of the study showed a positive and strong connotation among intellectual capital and attainment of competitive advantage. The human capital had the highest contribution for competitive advantage in hotel sector of Iraq. The top management of hotels should take interest to develop, maintain and retain human capital to attain competitive advantage over competitors.

The purpose of this research was to evaluate the degree of influence exercised by the Key Account Manager in the provisioning management in the main companies called Staple in Peru, during the events of COVID-19. The research was of type quantitative, cross-sectional and temporal, with a non-experimental design, using a multiple linear regression model and correlation analysis to determine the impact that exists between the variables. The data belongs to the Industrias San Miguel company, distributed in a weekly period from June 2019 to March 2021, which gives 88 observations. The results allow us to conclude that the Key Account Manager is an important manager of the supply of goods during the crisis caused by COVID-19 in staple companies.

The study objects for determining whether or not a relationship exists between inventory management of the listed pharmaceutical firms at Amman Stock Exchange, and the profitability of these firms, and whether or not inventory management affects firm profitability. Only three pharmaceutical firms were found listed at Amman Stock Exchange by the end of 2020, and therefore, the annual data of the three firms along the period 2009-2019 were collected and used in the analysis and hypothesis testing. Inventory turnover and average inventory holding period were used as indicators for inventory management at a reciprocal form, whereas, return on assets was used as a measure of firm profitability. Using the Pearson correlation method, the analysis and hypothesis testing demonstrated that a significant positive relationship exists between inventory turnover and return on assets, and a negative significant relationship exists between average inventory holding period and return on assets. Moreover, using the ordinary least square method, the study shows that inventory management has a positive significant effect on firm profitability. More studies regarding inventory management and firm profitability relationships, are recommended to be performed on other manufacturing industries than pharmaceutical firms.

This study focuses on the factors of financial supply chain (FSC), financial institutions, and inventory for supply chain efficiency through various cost dimensions. To address this objective, a questionnaire is developed, based on various items of selected variables and it is presented to a targeted sample of supply chain practitioners, business managers and industry experts. A final sample of 216 respondents is observed for both descriptive and inferential analysis. To check the significance of each indicator under FSC, financial institutions and inventory factors, confirmatory factor analysis is conducted. Empirical facts explain that factors like financial supply chain as risk prevention strategy had a significant influence on supply chain efficiency. Through inventory factors, communication with vendors for raw material also indicate a significant impact on efficiency of Supply Chain (SC). This study would help both industry experts and business managers integrate financial supply chain, inventory factors and financial institutions for cost efficiency of supply chain. The limitations of the study includes a limited sample size and restricted indicators of inventory management. Future studies can be implemented while addressing these limitations through improved econometric methods.